{ "best_metric": 0.8905744552612305, "best_model_checkpoint": "experts/mistralic-expert-28/checkpoint-3200", "epoch": 2.253325822247259, "eval_steps": 200, "global_step": 13000, "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": 0.9153, "step": 1 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 1.1126, "step": 2 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.9623, "step": 3 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 1.0142, "step": 4 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 1.0401, "step": 5 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.7844, "step": 6 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 1.014, "step": 7 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.8062, "step": 8 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.7818, "step": 9 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.9638, "step": 10 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.7674, "step": 11 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 1.1185, "step": 12 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.8292, "step": 13 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.6469, "step": 14 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.9843, "step": 15 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 1.1966, "step": 16 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 1.0369, "step": 17 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 1.0368, "step": 18 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.9693, "step": 19 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.8299, "step": 20 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.9227, "step": 21 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.7564, "step": 22 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.8868, "step": 23 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 1.1065, "step": 24 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.8981, "step": 25 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.9463, "step": 26 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.756, "step": 27 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.8951, "step": 28 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8101, "step": 29 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8278, "step": 30 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.9454, "step": 31 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.9271, "step": 32 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6077, "step": 33 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 1.0646, "step": 34 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6949, "step": 35 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.9631, "step": 36 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.9045, "step": 37 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.9562, "step": 38 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.9692, "step": 39 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.9586, "step": 40 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.9513, "step": 41 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 1.0374, "step": 42 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.9099, "step": 43 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.9617, "step": 44 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 1.0033, "step": 45 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 1.0036, "step": 46 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.9478, "step": 47 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6875, "step": 48 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.893, "step": 49 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.9539, "step": 50 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8106, "step": 51 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8526, "step": 52 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 1.0052, "step": 53 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.9359, "step": 54 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8657, "step": 55 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.9159, "step": 56 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7594, "step": 57 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.9969, "step": 58 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.9412, "step": 59 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8695, "step": 60 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.9306, "step": 61 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 1.1756, "step": 62 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8805, "step": 63 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 1.0183, "step": 64 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.9008, "step": 65 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.787, "step": 66 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8999, "step": 67 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8642, "step": 68 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8307, "step": 69 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 1.0866, "step": 70 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8396, "step": 71 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 1.3022, "step": 72 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.9115, "step": 73 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 1.0308, "step": 74 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.9449, "step": 75 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.835, "step": 76 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 1.0277, "step": 77 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 1.0807, "step": 78 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.9567, "step": 79 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.9698, "step": 80 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.9644, "step": 81 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7428, "step": 82 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.9928, "step": 83 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 1.0731, "step": 84 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8638, "step": 85 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.9244, "step": 86 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6978, "step": 87 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 1.0289, "step": 88 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7879, "step": 89 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 1.0854, "step": 90 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.8177, "step": 91 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 1.0794, "step": 92 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 1.3084, "step": 93 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.8073, "step": 94 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.9544, "step": 95 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.8831, "step": 96 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.8451, "step": 97 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.9125, "step": 98 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7928, "step": 99 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.8143, "step": 100 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 1.0305, "step": 101 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 1.1199, "step": 102 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.9476, "step": 103 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.9556, "step": 104 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.9603, "step": 105 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 1.1322, "step": 106 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 1.0186, "step": 107 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 1.0976, "step": 108 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6639, "step": 109 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7569, "step": 110 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.8701, "step": 111 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 1.0863, "step": 112 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.9724, "step": 113 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.8466, "step": 114 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7405, "step": 115 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 1.0396, "step": 116 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 1.0059, "step": 117 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.8913, "step": 118 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 1.1489, "step": 119 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.8515, "step": 120 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.9792, "step": 121 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 1.1725, "step": 122 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.8935, "step": 123 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.9956, "step": 124 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.9844, "step": 125 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.9799, "step": 126 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6775, "step": 127 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7439, "step": 128 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.9888, "step": 129 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.9094, "step": 130 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.9001, "step": 131 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6952, "step": 132 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.8925, "step": 133 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.9453, "step": 134 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 1.0495, "step": 135 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5741, "step": 136 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 1.1232, "step": 137 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.9066, "step": 138 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 1.0007, "step": 139 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7621, "step": 140 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.8324, "step": 141 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.9299, "step": 142 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.8145, "step": 143 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6945, "step": 144 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.9305, "step": 145 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 1.0048, "step": 146 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.7729, "step": 147 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 1.0078, "step": 148 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.7944, "step": 149 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.7829, "step": 150 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 1.0636, "step": 151 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 1.02, "step": 152 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8744, "step": 153 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.9944, "step": 154 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 1.0413, "step": 155 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.9772, "step": 156 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 1.0797, "step": 157 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8422, "step": 158 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.9591, "step": 159 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8085, "step": 160 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6908, "step": 161 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 1.0377, "step": 162 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.9779, "step": 163 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8234, "step": 164 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8714, "step": 165 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 1.1599, "step": 166 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8281, "step": 167 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.9024, "step": 168 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.9552, "step": 169 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.9298, "step": 170 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8903, "step": 171 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.9371, "step": 172 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8271, "step": 173 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 1.0959, "step": 174 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.9753, "step": 175 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.9881, "step": 176 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.955, "step": 177 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8817, "step": 178 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8931, "step": 179 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8116, "step": 180 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8405, "step": 181 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 1.0196, "step": 182 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 1.0874, "step": 183 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8415, "step": 184 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8357, "step": 185 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8063, "step": 186 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.9091, "step": 187 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8249, "step": 188 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.9477, "step": 189 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.9192, "step": 190 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 1.1802, "step": 191 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 1.1188, "step": 192 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.7995, "step": 193 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 1.2284, "step": 194 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.9915, "step": 195 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 1.0516, "step": 196 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8023, "step": 197 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8398, "step": 198 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 1.0297, "step": 199 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.9599, "step": 200 }, { "epoch": 0.03, "eval_loss": 0.918748676776886, "eval_runtime": 110.4336, "eval_samples_per_second": 9.055, "eval_steps_per_second": 4.528, "step": 200 }, { "epoch": 0.03, "mmlu_eval_accuracy": 0.5936350541565827, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.5714285714285714, "mmlu_eval_accuracy_astronomy": 0.8125, "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, "mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241, "mmlu_eval_accuracy_college_biology": 0.625, "mmlu_eval_accuracy_college_chemistry": 0.25, "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, "mmlu_eval_accuracy_college_mathematics": 0.6363636363636364, "mmlu_eval_accuracy_college_medicine": 0.6363636363636364, "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": 0.5833333333333334, "mmlu_eval_accuracy_electrical_engineering": 0.625, "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": 0.59375, "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": 0.7142857142857143, "mmlu_eval_accuracy_high_school_macroeconomics": 0.627906976744186, "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, "mmlu_eval_accuracy_high_school_microeconomics": 0.5769230769230769, "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, "mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334, "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, "mmlu_eval_accuracy_high_school_world_history": 0.6153846153846154, "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": 0.5454545454545454, "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, "mmlu_eval_accuracy_machine_learning": 0.5454545454545454, "mmlu_eval_accuracy_management": 0.9090909090909091, "mmlu_eval_accuracy_marketing": 0.92, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.7441860465116279, "mmlu_eval_accuracy_moral_disputes": 0.5789473684210527, "mmlu_eval_accuracy_moral_scenarios": 0.36, "mmlu_eval_accuracy_nutrition": 0.696969696969697, "mmlu_eval_accuracy_philosophy": 0.7352941176470589, "mmlu_eval_accuracy_prehistory": 0.5428571428571428, "mmlu_eval_accuracy_professional_accounting": 0.4838709677419355, "mmlu_eval_accuracy_professional_law": 0.4117647058823529, "mmlu_eval_accuracy_professional_medicine": 0.6129032258064516, "mmlu_eval_accuracy_professional_psychology": 0.6086956521739131, "mmlu_eval_accuracy_public_relations": 0.4166666666666667, "mmlu_eval_accuracy_security_studies": 0.6296296296296297, "mmlu_eval_accuracy_sociology": 0.9090909090909091, "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, "mmlu_eval_accuracy_virology": 0.5555555555555556, "mmlu_eval_accuracy_world_religions": 0.8421052631578947, "mmlu_loss": 1.3518375517805314, "step": 200 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.9508, "step": 201 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6532, "step": 202 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.934, "step": 203 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8147, "step": 204 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.483, "step": 205 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.9612, "step": 206 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.9069, "step": 207 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.1141, "step": 208 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.04, "step": 209 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8768, "step": 210 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.0499, "step": 211 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8034, "step": 212 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.1387, "step": 213 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.0499, "step": 214 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.9957, "step": 215 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8957, "step": 216 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8687, "step": 217 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8224, "step": 218 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.0095, "step": 219 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.225, "step": 220 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8774, "step": 221 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8663, "step": 222 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7407, "step": 223 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8002, "step": 224 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.9033, "step": 225 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.2643, "step": 226 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.9764, "step": 227 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.0823, "step": 228 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8546, "step": 229 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.0453, "step": 230 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8317, "step": 231 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.0105, "step": 232 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.9766, "step": 233 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8363, "step": 234 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8998, "step": 235 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.9636, "step": 236 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7943, "step": 237 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.0646, "step": 238 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.9673, "step": 239 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.9132, "step": 240 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.9139, "step": 241 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.9085, "step": 242 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.9753, "step": 243 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.9792, "step": 244 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.9407, "step": 245 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7692, "step": 246 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.908, "step": 247 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.0076, "step": 248 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.1506, "step": 249 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.9199, "step": 250 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.1417, "step": 251 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.0081, "step": 252 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 1.0554, "step": 253 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.9647, "step": 254 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.9484, "step": 255 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.9182, "step": 256 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.9055, "step": 257 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.9412, "step": 258 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8184, "step": 259 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 1.0315, "step": 260 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.8093, "step": 261 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.8895, "step": 262 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.9222, "step": 263 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 1.0261, "step": 264 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.9542, "step": 265 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7613, "step": 266 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.862, "step": 267 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.8565, "step": 268 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.9046, "step": 269 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 1.2807, "step": 270 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 1.0658, "step": 271 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.8939, "step": 272 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.9156, "step": 273 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.9697, "step": 274 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7813, "step": 275 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.8824, "step": 276 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.9141, "step": 277 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.9661, "step": 278 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 1.008, "step": 279 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 1.0581, "step": 280 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.9922, "step": 281 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.9843, "step": 282 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 1.02, "step": 283 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.8112, "step": 284 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7316, "step": 285 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.5477, "step": 286 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.8083, "step": 287 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.9947, "step": 288 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 1.0805, "step": 289 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.8961, "step": 290 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 1.0162, "step": 291 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7729, "step": 292 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 1.2236, "step": 293 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6903, "step": 294 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.9266, "step": 295 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.8389, "step": 296 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 1.1089, "step": 297 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.8078, "step": 298 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 1.0642, "step": 299 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.9602, "step": 300 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 1.0887, "step": 301 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.9027, "step": 302 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 1.0864, "step": 303 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 1.0036, "step": 304 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.5798, "step": 305 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6762, "step": 306 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.9747, "step": 307 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.775, "step": 308 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.8708, "step": 309 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 1.008, "step": 310 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7898, "step": 311 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.9316, "step": 312 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 1.0352, "step": 313 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.958, "step": 314 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.9278, "step": 315 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.861, "step": 316 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.9259, "step": 317 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 1.0211, "step": 318 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 1.1027, "step": 319 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.909, "step": 320 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.696, "step": 321 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.9981, "step": 322 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.9565, "step": 323 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.9335, "step": 324 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 1.0028, "step": 325 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.8264, "step": 326 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.8432, "step": 327 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 1.0344, "step": 328 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.9314, "step": 329 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.8693, "step": 330 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.9567, "step": 331 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 1.1389, "step": 332 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 1.1522, "step": 333 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.9452, "step": 334 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.9818, "step": 335 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.8578, "step": 336 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 1.2169, "step": 337 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.8826, "step": 338 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6723, "step": 339 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 1.111, "step": 340 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.8057, "step": 341 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.4511, "step": 342 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7871, "step": 343 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.9753, "step": 344 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7468, "step": 345 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.9199, "step": 346 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.95, "step": 347 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 1.3679, "step": 348 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.78, "step": 349 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.8936, "step": 350 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.8851, "step": 351 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.8275, "step": 352 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.9469, "step": 353 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.9664, "step": 354 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7857, "step": 355 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.9312, "step": 356 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 1.1484, "step": 357 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7847, "step": 358 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 1.0041, "step": 359 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 1.0418, "step": 360 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 1.0907, "step": 361 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 1.012, "step": 362 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.8481, "step": 363 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7312, "step": 364 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.9435, "step": 365 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 1.0647, "step": 366 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 1.0256, "step": 367 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.8531, "step": 368 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.8118, "step": 369 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.9456, "step": 370 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7462, "step": 371 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7342, "step": 372 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.9343, "step": 373 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.8028, "step": 374 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 1.1676, "step": 375 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.0576, "step": 376 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.0029, "step": 377 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.0235, "step": 378 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.7557, "step": 379 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.7831, "step": 380 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.023, "step": 381 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.7636, "step": 382 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.868, "step": 383 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.039, "step": 384 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.0509, "step": 385 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.0969, "step": 386 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.0429, "step": 387 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.995, "step": 388 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.1526, "step": 389 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.2525, "step": 390 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.7519, "step": 391 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.9599, "step": 392 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.7064, "step": 393 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.0201, "step": 394 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.0668, "step": 395 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.857, "step": 396 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.1075, "step": 397 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.878, "step": 398 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.9995, "step": 399 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8536, "step": 400 }, { "epoch": 0.07, "eval_loss": 0.9089547395706177, "eval_runtime": 110.2762, "eval_samples_per_second": 9.068, "eval_steps_per_second": 4.534, "step": 400 }, { "epoch": 0.07, "mmlu_eval_accuracy": 0.5882033985113294, "mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182, "mmlu_eval_accuracy_anatomy": 0.42857142857142855, "mmlu_eval_accuracy_astronomy": 0.625, "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": 0.45454545454545453, "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": 0.5454545454545454, "mmlu_eval_accuracy_conceptual_physics": 0.5, "mmlu_eval_accuracy_econometrics": 0.6666666666666666, "mmlu_eval_accuracy_electrical_engineering": 0.6875, "mmlu_eval_accuracy_elementary_mathematics": 0.43902439024390244, "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, "mmlu_eval_accuracy_global_facts": 0.4, "mmlu_eval_accuracy_high_school_biology": 0.625, "mmlu_eval_accuracy_high_school_chemistry": 0.5, "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": 0.7619047619047619, "mmlu_eval_accuracy_high_school_macroeconomics": 0.5813953488372093, "mmlu_eval_accuracy_high_school_mathematics": 0.41379310344827586, "mmlu_eval_accuracy_high_school_microeconomics": 0.6153846153846154, "mmlu_eval_accuracy_high_school_physics": 0.058823529411764705, "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": 0.7391304347826086, "mmlu_eval_accuracy_human_sexuality": 0.5833333333333334, "mmlu_eval_accuracy_international_law": 0.8461538461538461, "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, "mmlu_eval_accuracy_machine_learning": 0.2727272727272727, "mmlu_eval_accuracy_management": 0.9090909090909091, "mmlu_eval_accuracy_marketing": 0.88, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.7674418604651163, "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, "mmlu_eval_accuracy_moral_scenarios": 0.36, "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": 0.38235294117647056, "mmlu_eval_accuracy_professional_medicine": 0.6774193548387096, "mmlu_eval_accuracy_professional_psychology": 0.5797101449275363, "mmlu_eval_accuracy_public_relations": 0.4166666666666667, "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": 0.6111111111111112, "mmlu_eval_accuracy_world_religions": 0.8421052631578947, "mmlu_loss": 1.3722924169532313, "step": 400 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8379, "step": 401 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8581, "step": 402 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.1749, "step": 403 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.0031, "step": 404 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8899, "step": 405 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.7814, "step": 406 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8567, "step": 407 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.109, "step": 408 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.9617, "step": 409 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.9198, "step": 410 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.7959, "step": 411 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.9849, "step": 412 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8212, "step": 413 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.9083, "step": 414 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.7546, "step": 415 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.7893, "step": 416 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.5201, "step": 417 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.142, "step": 418 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.969, "step": 419 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.6761, "step": 420 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.9495, "step": 421 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.1075, "step": 422 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.1908, "step": 423 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.7321, "step": 424 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.9699, "step": 425 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.9044, "step": 426 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.92, "step": 427 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.6132, "step": 428 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.0147, "step": 429 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.7865, "step": 430 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.0387, "step": 431 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 1.0642, "step": 432 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.9613, "step": 433 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.9591, "step": 434 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.9993, "step": 435 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.9081, "step": 436 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 1.1343, "step": 437 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7894, "step": 438 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 1.0983, "step": 439 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.9792, "step": 440 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.9052, "step": 441 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 1.0188, "step": 442 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8964, "step": 443 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.9913, "step": 444 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7435, "step": 445 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.943, "step": 446 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.9065, "step": 447 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.901, "step": 448 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7939, "step": 449 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 1.2298, "step": 450 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 1.0091, "step": 451 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8213, "step": 452 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.756, "step": 453 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8005, "step": 454 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 1.0129, "step": 455 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.9463, "step": 456 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7104, "step": 457 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8058, "step": 458 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 1.1198, "step": 459 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.9775, "step": 460 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8958, "step": 461 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8772, "step": 462 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 1.0402, "step": 463 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 1.4543, "step": 464 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.919, "step": 465 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6586, "step": 466 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8691, "step": 467 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7884, "step": 468 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7535, "step": 469 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 1.0748, "step": 470 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7725, "step": 471 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.9248, "step": 472 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.5976, "step": 473 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 1.079, "step": 474 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8693, "step": 475 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.5991, "step": 476 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6166, "step": 477 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.9733, "step": 478 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.9233, "step": 479 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8304, "step": 480 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.9823, "step": 481 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8229, "step": 482 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 1.0206, "step": 483 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.9035, "step": 484 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.9331, "step": 485 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7454, "step": 486 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7747, "step": 487 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8711, "step": 488 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8918, "step": 489 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8776, "step": 490 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 1.0387, "step": 491 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.6836, "step": 492 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.8048, "step": 493 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.9795, "step": 494 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7852, "step": 495 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 1.0038, "step": 496 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 1.1319, "step": 497 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.9535, "step": 498 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.9704, "step": 499 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.8074, "step": 500 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.9755, "step": 501 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.9822, "step": 502 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.9083, "step": 503 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.901, "step": 504 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 1.0439, "step": 505 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.9061, "step": 506 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.9485, "step": 507 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7206, "step": 508 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.9206, "step": 509 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.8356, "step": 510 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 1.2195, "step": 511 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.6338, "step": 512 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.8957, "step": 513 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.9846, "step": 514 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.9582, "step": 515 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 1.0594, "step": 516 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.8856, "step": 517 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 1.0264, "step": 518 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.9973, "step": 519 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7677, "step": 520 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 1.0392, "step": 521 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 1.0031, "step": 522 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.9803, "step": 523 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 1.1092, "step": 524 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.9817, "step": 525 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.9701, "step": 526 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.8437, "step": 527 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.8808, "step": 528 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.9509, "step": 529 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.9676, "step": 530 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 1.2117, "step": 531 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.9391, "step": 532 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 1.0672, "step": 533 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.8743, "step": 534 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 1.0313, "step": 535 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7439, "step": 536 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.9263, "step": 537 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 1.1877, "step": 538 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.9968, "step": 539 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 1.1528, "step": 540 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.8137, "step": 541 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.6874, "step": 542 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.8553, "step": 543 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.933, "step": 544 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.781, "step": 545 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7481, "step": 546 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7041, "step": 547 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.9119, "step": 548 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.9267, "step": 549 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.8273, "step": 550 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.9242, "step": 551 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.6097, "step": 552 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 1.3431, "step": 553 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 1.025, "step": 554 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.94, "step": 555 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.6028, "step": 556 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.8675, "step": 557 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.779, "step": 558 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 1.0838, "step": 559 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.7469, "step": 560 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.7401, "step": 561 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.9701, "step": 562 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.7933, "step": 563 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.7776, "step": 564 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.8945, "step": 565 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.8268, "step": 566 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.8963, "step": 567 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.7957, "step": 568 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 1.0115, "step": 569 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.8464, "step": 570 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 1.0025, "step": 571 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.7957, "step": 572 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 1.1203, "step": 573 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.9207, "step": 574 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.7012, "step": 575 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.8518, "step": 576 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.9828, "step": 577 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.9933, "step": 578 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 1.1687, "step": 579 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.6325, "step": 580 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.6514, "step": 581 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 1.0105, "step": 582 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.5911, "step": 583 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 1.1909, "step": 584 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.7191, "step": 585 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.7781, "step": 586 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 1.0846, "step": 587 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.8459, "step": 588 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.9575, "step": 589 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 1.0807, "step": 590 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.8731, "step": 591 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.9409, "step": 592 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.8081, "step": 593 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 1.2209, "step": 594 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 1.124, "step": 595 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.7926, "step": 596 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.8573, "step": 597 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.8204, "step": 598 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.7193, "step": 599 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.7782, "step": 600 }, { "epoch": 0.1, "eval_loss": 0.8959276676177979, "eval_runtime": 110.3877, "eval_samples_per_second": 9.059, "eval_steps_per_second": 4.529, "step": 600 }, { "epoch": 0.1, "mmlu_eval_accuracy": 0.5554035320736654, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.5, "mmlu_eval_accuracy_astronomy": 0.6875, "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, "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": 0.18181818181818182, "mmlu_eval_accuracy_college_mathematics": 0.36363636363636365, "mmlu_eval_accuracy_college_medicine": 0.5454545454545454, "mmlu_eval_accuracy_college_physics": 0.45454545454545453, "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": 0.375, "mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244, "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, "mmlu_eval_accuracy_global_facts": 0.4, "mmlu_eval_accuracy_high_school_biology": 0.46875, "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": 0.8181818181818182, "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": 0.11764705882352941, "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": 0.4166666666666667, "mmlu_eval_accuracy_international_law": 0.9230769230769231, "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, "mmlu_eval_accuracy_management": 0.9090909090909091, "mmlu_eval_accuracy_marketing": 0.96, "mmlu_eval_accuracy_medical_genetics": 1.0, "mmlu_eval_accuracy_miscellaneous": 0.7325581395348837, "mmlu_eval_accuracy_moral_disputes": 0.5, "mmlu_eval_accuracy_moral_scenarios": 0.39, "mmlu_eval_accuracy_nutrition": 0.696969696969697, "mmlu_eval_accuracy_philosophy": 0.7352941176470589, "mmlu_eval_accuracy_prehistory": 0.5428571428571428, "mmlu_eval_accuracy_professional_accounting": 0.45161290322580644, "mmlu_eval_accuracy_professional_law": 0.40588235294117647, "mmlu_eval_accuracy_professional_medicine": 0.5483870967741935, "mmlu_eval_accuracy_professional_psychology": 0.6521739130434783, "mmlu_eval_accuracy_public_relations": 0.4166666666666667, "mmlu_eval_accuracy_security_studies": 0.5925925925925926, "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": 0.7368421052631579, "mmlu_loss": 1.1482681673282742, "step": 600 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 1.0475, "step": 601 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 1.1101, "step": 602 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.7927, "step": 603 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 1.0947, "step": 604 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 1.0342, "step": 605 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 1.0879, "step": 606 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.973, "step": 607 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.6956, "step": 608 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.7115, "step": 609 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.7143, "step": 610 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 1.0316, "step": 611 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 1.2098, "step": 612 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.986, "step": 613 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 1.1287, "step": 614 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 1.0154, "step": 615 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.9026, "step": 616 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.9482, "step": 617 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 1.0013, "step": 618 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 1.126, "step": 619 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.7324, "step": 620 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 1.0184, "step": 621 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.8661, "step": 622 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 1.2338, "step": 623 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.8476, "step": 624 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.9629, "step": 625 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.7419, "step": 626 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.9526, "step": 627 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.7579, "step": 628 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.9444, "step": 629 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.8458, "step": 630 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 1.0362, "step": 631 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.9346, "step": 632 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.9146, "step": 633 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 1.0963, "step": 634 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.9795, "step": 635 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.9038, "step": 636 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.535, "step": 637 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.7015, "step": 638 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.7218, "step": 639 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 1.0136, "step": 640 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.8069, "step": 641 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 1.0618, "step": 642 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 1.006, "step": 643 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 1.1451, "step": 644 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.6404, "step": 645 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.903, "step": 646 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.7406, "step": 647 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.8788, "step": 648 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.8459, "step": 649 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.7771, "step": 650 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.6741, "step": 651 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.8838, "step": 652 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.8366, "step": 653 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.9178, "step": 654 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.7905, "step": 655 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.6259, "step": 656 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.8719, "step": 657 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 1.1669, "step": 658 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 1.0562, "step": 659 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.9446, "step": 660 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.7979, "step": 661 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.8521, "step": 662 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.8821, "step": 663 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.9733, "step": 664 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.9495, "step": 665 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 1.189, "step": 666 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.8951, "step": 667 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 1.1549, "step": 668 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.9495, "step": 669 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.8637, "step": 670 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.9063, "step": 671 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.972, "step": 672 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 1.0103, "step": 673 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.9671, "step": 674 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.8758, "step": 675 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 1.2366, "step": 676 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.6488, "step": 677 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 1.1536, "step": 678 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.6694, "step": 679 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 1.1138, "step": 680 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.9928, "step": 681 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.8346, "step": 682 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.7293, "step": 683 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.9905, "step": 684 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.8548, "step": 685 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.8885, "step": 686 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.8515, "step": 687 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 1.0839, "step": 688 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.755, "step": 689 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 1.0531, "step": 690 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.8139, "step": 691 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.9699, "step": 692 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.9014, "step": 693 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.852, "step": 694 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 1.0517, "step": 695 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.9544, "step": 696 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.9509, "step": 697 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 1.0476, "step": 698 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.6746, "step": 699 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.9791, "step": 700 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.8659, "step": 701 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.7749, "step": 702 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 1.1128, "step": 703 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 1.0436, "step": 704 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 1.0279, "step": 705 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.7892, "step": 706 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.9907, "step": 707 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 1.1397, "step": 708 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.9331, "step": 709 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 1.0565, "step": 710 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.8835, "step": 711 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.8568, "step": 712 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.9542, "step": 713 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 1.0033, "step": 714 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.9608, "step": 715 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 1.0965, "step": 716 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.854, "step": 717 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.6439, "step": 718 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.963, "step": 719 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 1.0932, "step": 720 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.939, "step": 721 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.9221, "step": 722 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.9345, "step": 723 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 1.0329, "step": 724 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.8524, "step": 725 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.9227, "step": 726 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.9177, "step": 727 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.9117, "step": 728 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 1.0336, "step": 729 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.78, "step": 730 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 1.0301, "step": 731 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.7722, "step": 732 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.7383, "step": 733 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.8078, "step": 734 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.8037, "step": 735 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 1.0351, "step": 736 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.967, "step": 737 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.5368, "step": 738 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.9765, "step": 739 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.8697, "step": 740 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.872, "step": 741 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.9829, "step": 742 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.6812, "step": 743 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 1.0387, "step": 744 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.8825, "step": 745 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.8284, "step": 746 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 1.1724, "step": 747 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.9653, "step": 748 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.8985, "step": 749 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.902, "step": 750 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.7859, "step": 751 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 1.0482, "step": 752 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.8196, "step": 753 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 1.0391, "step": 754 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 1.0175, "step": 755 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.8726, "step": 756 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 1.0793, "step": 757 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.9445, "step": 758 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 1.112, "step": 759 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 1.0795, "step": 760 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.8867, "step": 761 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.8919, "step": 762 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.5391, "step": 763 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.9764, "step": 764 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.7394, "step": 765 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 1.1167, "step": 766 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.9152, "step": 767 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 1.0247, "step": 768 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.7684, "step": 769 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.8143, "step": 770 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.719, "step": 771 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.855, "step": 772 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.6708, "step": 773 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.8447, "step": 774 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.9143, "step": 775 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 1.0368, "step": 776 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.7918, "step": 777 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 1.0584, "step": 778 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.9354, "step": 779 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.8301, "step": 780 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.6534, "step": 781 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.8587, "step": 782 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 1.1506, "step": 783 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 1.0942, "step": 784 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 1.0776, "step": 785 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.8941, "step": 786 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.9403, "step": 787 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.7983, "step": 788 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 1.0698, "step": 789 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.5851, "step": 790 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.8589, "step": 791 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 1.0345, "step": 792 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.8684, "step": 793 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.9744, "step": 794 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 1.1138, "step": 795 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.9641, "step": 796 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 1.0204, "step": 797 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.8939, "step": 798 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 1.1619, "step": 799 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.998, "step": 800 }, { "epoch": 0.14, "eval_loss": 0.9124863147735596, "eval_runtime": 110.4004, "eval_samples_per_second": 9.058, "eval_steps_per_second": 4.529, "step": 800 }, { "epoch": 0.14, "mmlu_eval_accuracy": 0.5758069299434334, "mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182, "mmlu_eval_accuracy_anatomy": 0.5, "mmlu_eval_accuracy_astronomy": 0.6875, "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, "mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241, "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": 0.6363636363636364, "mmlu_eval_accuracy_college_medicine": 0.5909090909090909, "mmlu_eval_accuracy_college_physics": 0.45454545454545453, "mmlu_eval_accuracy_computer_security": 0.5454545454545454, "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": 0.4146341463414634, "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, "mmlu_eval_accuracy_global_facts": 0.4, "mmlu_eval_accuracy_high_school_biology": 0.5, "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": 0.8181818181818182, "mmlu_eval_accuracy_high_school_government_and_politics": 0.7619047619047619, "mmlu_eval_accuracy_high_school_macroeconomics": 0.6046511627906976, "mmlu_eval_accuracy_high_school_mathematics": 0.3448275862068966, "mmlu_eval_accuracy_high_school_microeconomics": 0.5384615384615384, "mmlu_eval_accuracy_high_school_physics": 0.058823529411764705, "mmlu_eval_accuracy_high_school_psychology": 0.8166666666666667, "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, "mmlu_eval_accuracy_high_school_us_history": 0.8181818181818182, "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": 0.6363636363636364, "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, "mmlu_eval_accuracy_machine_learning": 0.2727272727272727, "mmlu_eval_accuracy_management": 0.8181818181818182, "mmlu_eval_accuracy_marketing": 0.84, "mmlu_eval_accuracy_medical_genetics": 1.0, "mmlu_eval_accuracy_miscellaneous": 0.7906976744186046, "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, "mmlu_eval_accuracy_moral_scenarios": 0.29, "mmlu_eval_accuracy_nutrition": 0.7272727272727273, "mmlu_eval_accuracy_philosophy": 0.7352941176470589, "mmlu_eval_accuracy_prehistory": 0.5142857142857142, "mmlu_eval_accuracy_professional_accounting": 0.5806451612903226, "mmlu_eval_accuracy_professional_law": 0.38235294117647056, "mmlu_eval_accuracy_professional_medicine": 0.6451612903225806, "mmlu_eval_accuracy_professional_psychology": 0.5797101449275363, "mmlu_eval_accuracy_public_relations": 0.5, "mmlu_eval_accuracy_security_studies": 0.6666666666666666, "mmlu_eval_accuracy_sociology": 0.9090909090909091, "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, "mmlu_eval_accuracy_virology": 0.5555555555555556, "mmlu_eval_accuracy_world_religions": 0.8947368421052632, "mmlu_loss": 1.316920878448312, "step": 800 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.8005, "step": 801 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.8288, "step": 802 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.7589, "step": 803 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.6758, "step": 804 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.8794, "step": 805 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.7097, "step": 806 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.9789, "step": 807 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.9371, "step": 808 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 1.0501, "step": 809 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 1.0155, "step": 810 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.7805, "step": 811 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 1.0226, "step": 812 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 1.0906, "step": 813 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 1.0386, "step": 814 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.9999, "step": 815 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.74, "step": 816 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.8272, "step": 817 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.8118, "step": 818 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.6616, "step": 819 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.5222, "step": 820 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.8532, "step": 821 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.9594, "step": 822 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.7988, "step": 823 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.6426, "step": 824 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.8584, "step": 825 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.9062, "step": 826 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.7976, "step": 827 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.5831, "step": 828 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 1.0005, "step": 829 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.8652, "step": 830 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 1.1654, "step": 831 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 1.1038, "step": 832 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.9054, "step": 833 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.783, "step": 834 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.9152, "step": 835 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 1.0302, "step": 836 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.886, "step": 837 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.9693, "step": 838 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 1.3515, "step": 839 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.9487, "step": 840 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 1.0399, "step": 841 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.9178, "step": 842 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.8976, "step": 843 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.7103, "step": 844 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.8837, "step": 845 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.7368, "step": 846 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.8079, "step": 847 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 1.1107, "step": 848 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.793, "step": 849 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.7123, "step": 850 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.9722, "step": 851 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 1.0226, "step": 852 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 1.0417, "step": 853 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.7485, "step": 854 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.7143, "step": 855 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.7935, "step": 856 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 1.0169, "step": 857 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.8445, "step": 858 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.644, "step": 859 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.7356, "step": 860 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.8857, "step": 861 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.8484, "step": 862 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.9273, "step": 863 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.8739, "step": 864 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.9565, "step": 865 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 1.0009, "step": 866 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 1.1201, "step": 867 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.9045, "step": 868 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.9529, "step": 869 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.96, "step": 870 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 1.0572, "step": 871 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 1.1143, "step": 872 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.8692, "step": 873 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.9015, "step": 874 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.811, "step": 875 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 1.0058, "step": 876 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.9685, "step": 877 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.6322, "step": 878 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 1.0413, "step": 879 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.9666, "step": 880 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.779, "step": 881 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.7885, "step": 882 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 1.0222, "step": 883 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.9275, "step": 884 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.9551, "step": 885 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.9036, "step": 886 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.9647, "step": 887 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.9405, "step": 888 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.6388, "step": 889 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.8582, "step": 890 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.9561, "step": 891 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.9083, "step": 892 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.8481, "step": 893 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.9427, "step": 894 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.883, "step": 895 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.8254, "step": 896 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.7921, "step": 897 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 1.0221, "step": 898 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.793, "step": 899 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.9214, "step": 900 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.9096, "step": 901 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 1.148, "step": 902 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.9591, "step": 903 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 1.0026, "step": 904 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.994, "step": 905 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 1.0864, "step": 906 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.9972, "step": 907 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.8283, "step": 908 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.8531, "step": 909 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.8453, "step": 910 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.7667, "step": 911 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.8806, "step": 912 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 1.0259, "step": 913 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.899, "step": 914 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.852, "step": 915 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.9467, "step": 916 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 1.1862, "step": 917 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 1.0091, "step": 918 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.97, "step": 919 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.9016, "step": 920 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.8938, "step": 921 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.7905, "step": 922 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.7822, "step": 923 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.8413, "step": 924 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.7978, "step": 925 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.8639, "step": 926 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.7734, "step": 927 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.9318, "step": 928 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.8195, "step": 929 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.678, "step": 930 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.835, "step": 931 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 1.1077, "step": 932 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.8637, "step": 933 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 1.2457, "step": 934 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.9953, "step": 935 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.862, "step": 936 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.8056, "step": 937 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.9808, "step": 938 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.9366, "step": 939 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 1.1652, "step": 940 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.9065, "step": 941 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.7337, "step": 942 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 1.056, "step": 943 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.9831, "step": 944 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 1.018, "step": 945 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.7848, "step": 946 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.8634, "step": 947 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 1.0275, "step": 948 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 1.1806, "step": 949 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.9866, "step": 950 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 1.0199, "step": 951 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.7149, "step": 952 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.6079, "step": 953 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 1.0392, "step": 954 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 1.2443, "step": 955 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 1.101, "step": 956 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.6789, "step": 957 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 1.1666, "step": 958 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.8126, "step": 959 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.6806, "step": 960 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 1.05, "step": 961 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 1.0109, "step": 962 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.9256, "step": 963 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 1.0231, "step": 964 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.8742, "step": 965 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 1.143, "step": 966 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 1.0101, "step": 967 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.9678, "step": 968 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 1.1193, "step": 969 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 1.1231, "step": 970 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.9374, "step": 971 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.8594, "step": 972 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.9457, "step": 973 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.9299, "step": 974 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.8972, "step": 975 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.9677, "step": 976 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.5881, "step": 977 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.8891, "step": 978 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 1.0118, "step": 979 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.7318, "step": 980 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 1.0057, "step": 981 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.8177, "step": 982 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 1.03, "step": 983 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.9967, "step": 984 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 1.0669, "step": 985 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.6805, "step": 986 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.8637, "step": 987 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 1.0284, "step": 988 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.8445, "step": 989 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.7419, "step": 990 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 1.0252, "step": 991 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 1.0158, "step": 992 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.9237, "step": 993 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.8878, "step": 994 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.9293, "step": 995 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.9423, "step": 996 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 1.1049, "step": 997 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 1.0537, "step": 998 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.9266, "step": 999 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.9483, "step": 1000 }, { "epoch": 0.17, "eval_loss": 0.9045089483261108, "eval_runtime": 110.3647, "eval_samples_per_second": 9.061, "eval_steps_per_second": 4.53, "step": 1000 }, { "epoch": 0.17, "mmlu_eval_accuracy": 0.56673132081626, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.5714285714285714, "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": 0.625, "mmlu_eval_accuracy_college_chemistry": 0.25, "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365, "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727, "mmlu_eval_accuracy_college_medicine": 0.6818181818181818, "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": 0.5, "mmlu_eval_accuracy_electrical_engineering": 0.5, "mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244, "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, "mmlu_eval_accuracy_global_facts": 0.3, "mmlu_eval_accuracy_high_school_biology": 0.59375, "mmlu_eval_accuracy_high_school_chemistry": 0.2727272727272727, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, "mmlu_eval_accuracy_high_school_government_and_politics": 0.7619047619047619, "mmlu_eval_accuracy_high_school_macroeconomics": 0.627906976744186, "mmlu_eval_accuracy_high_school_mathematics": 0.3103448275862069, "mmlu_eval_accuracy_high_school_microeconomics": 0.6153846153846154, "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, "mmlu_eval_accuracy_high_school_psychology": 0.85, "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, "mmlu_eval_accuracy_human_aging": 0.7391304347826086, "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": 0.6666666666666666, "mmlu_eval_accuracy_machine_learning": 0.2727272727272727, "mmlu_eval_accuracy_management": 0.8181818181818182, "mmlu_eval_accuracy_marketing": 0.88, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.7209302325581395, "mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, "mmlu_eval_accuracy_moral_scenarios": 0.28, "mmlu_eval_accuracy_nutrition": 0.7575757575757576, "mmlu_eval_accuracy_philosophy": 0.6764705882352942, "mmlu_eval_accuracy_prehistory": 0.6285714285714286, "mmlu_eval_accuracy_professional_accounting": 0.41935483870967744, "mmlu_eval_accuracy_professional_law": 0.3764705882352941, "mmlu_eval_accuracy_professional_medicine": 0.6129032258064516, "mmlu_eval_accuracy_professional_psychology": 0.5362318840579711, "mmlu_eval_accuracy_public_relations": 0.4166666666666667, "mmlu_eval_accuracy_security_studies": 0.7407407407407407, "mmlu_eval_accuracy_sociology": 0.8636363636363636, "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, "mmlu_eval_accuracy_virology": 0.5, "mmlu_eval_accuracy_world_religions": 0.8947368421052632, "mmlu_loss": 1.2369381791228724, "step": 1000 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 1.1481, "step": 1001 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.8302, "step": 1002 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.6806, "step": 1003 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.953, "step": 1004 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.9101, "step": 1005 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.8908, "step": 1006 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.7157, "step": 1007 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 1.0298, "step": 1008 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.9499, "step": 1009 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.893, "step": 1010 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.7989, "step": 1011 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.8754, "step": 1012 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 1.024, "step": 1013 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 1.0331, "step": 1014 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.7898, "step": 1015 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.7879, "step": 1016 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.921, "step": 1017 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 1.0583, "step": 1018 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.8412, "step": 1019 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.739, "step": 1020 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.8158, "step": 1021 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.783, "step": 1022 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.7141, "step": 1023 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 1.1612, "step": 1024 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 1.0621, "step": 1025 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.9937, "step": 1026 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.9006, "step": 1027 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.9043, "step": 1028 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.7868, "step": 1029 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.9044, "step": 1030 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 1.0129, "step": 1031 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 1.1426, "step": 1032 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.9282, "step": 1033 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.9714, "step": 1034 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.8813, "step": 1035 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.9102, "step": 1036 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.855, "step": 1037 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.9303, "step": 1038 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.9261, "step": 1039 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.8643, "step": 1040 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.8341, "step": 1041 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.9019, "step": 1042 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.9385, "step": 1043 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 1.1969, "step": 1044 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.8093, "step": 1045 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.95, "step": 1046 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.9144, "step": 1047 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.9427, "step": 1048 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.8801, "step": 1049 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.796, "step": 1050 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.8805, "step": 1051 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.7013, "step": 1052 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.6871, "step": 1053 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.7913, "step": 1054 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 1.0249, "step": 1055 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.7755, "step": 1056 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.9262, "step": 1057 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.8666, "step": 1058 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.6438, "step": 1059 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.8024, "step": 1060 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.9163, "step": 1061 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.6318, "step": 1062 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.8864, "step": 1063 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 1.2133, "step": 1064 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 1.1054, "step": 1065 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.8581, "step": 1066 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.9839, "step": 1067 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.8718, "step": 1068 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.8639, "step": 1069 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 1.3082, "step": 1070 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 1.1153, "step": 1071 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 1.1062, "step": 1072 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.8755, "step": 1073 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.8979, "step": 1074 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7347, "step": 1075 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.9937, "step": 1076 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 1.074, "step": 1077 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.8918, "step": 1078 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.9335, "step": 1079 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.8275, "step": 1080 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.8445, "step": 1081 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.9492, "step": 1082 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.8363, "step": 1083 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.9252, "step": 1084 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.787, "step": 1085 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.9984, "step": 1086 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 1.1817, "step": 1087 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.946, "step": 1088 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.994, "step": 1089 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.8972, "step": 1090 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7535, "step": 1091 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 1.0712, "step": 1092 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 1.1298, "step": 1093 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.9882, "step": 1094 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 1.1972, "step": 1095 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.8247, "step": 1096 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.6892, "step": 1097 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.9255, "step": 1098 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.8792, "step": 1099 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 1.0496, "step": 1100 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7016, "step": 1101 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 1.0808, "step": 1102 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.9253, "step": 1103 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7184, "step": 1104 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.8506, "step": 1105 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 1.0012, "step": 1106 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.8851, "step": 1107 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.8795, "step": 1108 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7018, "step": 1109 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.9118, "step": 1110 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.9187, "step": 1111 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.81, "step": 1112 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 1.174, "step": 1113 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.8699, "step": 1114 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7991, "step": 1115 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.9175, "step": 1116 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.9354, "step": 1117 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.9988, "step": 1118 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7271, "step": 1119 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.6835, "step": 1120 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 1.0268, "step": 1121 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7808, "step": 1122 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.9397, "step": 1123 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.9517, "step": 1124 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.9259, "step": 1125 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 1.3078, "step": 1126 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 1.1462, "step": 1127 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 1.1425, "step": 1128 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.841, "step": 1129 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.9557, "step": 1130 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.7607, "step": 1131 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 1.0313, "step": 1132 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 1.1243, "step": 1133 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.9564, "step": 1134 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.8547, "step": 1135 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.9997, "step": 1136 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 1.0867, "step": 1137 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 1.0389, "step": 1138 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.7972, "step": 1139 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.8397, "step": 1140 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 1.0368, "step": 1141 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.953, "step": 1142 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.8785, "step": 1143 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.8771, "step": 1144 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 1.2005, "step": 1145 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.8995, "step": 1146 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 1.1637, "step": 1147 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.9237, "step": 1148 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.8615, "step": 1149 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.8657, "step": 1150 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.7616, "step": 1151 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.8695, "step": 1152 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.7333, "step": 1153 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 1.1041, "step": 1154 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.9883, "step": 1155 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 1.0493, "step": 1156 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 1.1446, "step": 1157 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 1.1359, "step": 1158 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.4907, "step": 1159 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 1.2185, "step": 1160 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.9323, "step": 1161 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 1.06, "step": 1162 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.9405, "step": 1163 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 1.1912, "step": 1164 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 1.0646, "step": 1165 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 1.1604, "step": 1166 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.981, "step": 1167 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 1.1493, "step": 1168 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.7864, "step": 1169 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.8999, "step": 1170 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.7323, "step": 1171 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 1.0071, "step": 1172 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 1.0701, "step": 1173 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.7696, "step": 1174 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 1.0443, "step": 1175 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 1.1195, "step": 1176 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.7754, "step": 1177 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.7168, "step": 1178 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 1.0484, "step": 1179 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.8043, "step": 1180 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.6593, "step": 1181 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 1.1025, "step": 1182 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.7549, "step": 1183 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.6013, "step": 1184 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 1.089, "step": 1185 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.7837, "step": 1186 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.9881, "step": 1187 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 1.0265, "step": 1188 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.8255, "step": 1189 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 1.022, "step": 1190 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 1.017, "step": 1191 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.8942, "step": 1192 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.9983, "step": 1193 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.6027, "step": 1194 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 1.0452, "step": 1195 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.9122, "step": 1196 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 1.0127, "step": 1197 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.9185, "step": 1198 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.84, "step": 1199 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.9924, "step": 1200 }, { "epoch": 0.21, "eval_loss": 0.902429461479187, "eval_runtime": 110.3753, "eval_samples_per_second": 9.06, "eval_steps_per_second": 4.53, "step": 1200 }, { "epoch": 0.21, "mmlu_eval_accuracy": 0.5832655263402889, "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": 0.6551724137931034, "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": 0.2727272727272727, "mmlu_eval_accuracy_college_medicine": 0.6363636363636364, "mmlu_eval_accuracy_college_physics": 0.5454545454545454, "mmlu_eval_accuracy_computer_security": 0.6363636363636364, "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": 0.43902439024390244, "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, "mmlu_eval_accuracy_global_facts": 0.3, "mmlu_eval_accuracy_high_school_biology": 0.65625, "mmlu_eval_accuracy_high_school_chemistry": 0.45454545454545453, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.7777777777777778, "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, "mmlu_eval_accuracy_high_school_macroeconomics": 0.6511627906976745, "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": 0.8333333333333334, "mmlu_eval_accuracy_high_school_statistics": 0.2608695652173913, "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, "mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307, "mmlu_eval_accuracy_human_aging": 0.7391304347826086, "mmlu_eval_accuracy_human_sexuality": 0.5833333333333334, "mmlu_eval_accuracy_international_law": 0.8461538461538461, "mmlu_eval_accuracy_jurisprudence": 0.7272727272727273, "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, "mmlu_eval_accuracy_machine_learning": 0.2727272727272727, "mmlu_eval_accuracy_management": 0.8181818181818182, "mmlu_eval_accuracy_marketing": 0.92, "mmlu_eval_accuracy_medical_genetics": 0.8181818181818182, "mmlu_eval_accuracy_miscellaneous": 0.7325581395348837, "mmlu_eval_accuracy_moral_disputes": 0.5, "mmlu_eval_accuracy_moral_scenarios": 0.45, "mmlu_eval_accuracy_nutrition": 0.696969696969697, "mmlu_eval_accuracy_philosophy": 0.7058823529411765, "mmlu_eval_accuracy_prehistory": 0.6, "mmlu_eval_accuracy_professional_accounting": 0.5483870967741935, "mmlu_eval_accuracy_professional_law": 0.37058823529411766, "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": 0.6296296296296297, "mmlu_eval_accuracy_sociology": 0.9090909090909091, "mmlu_eval_accuracy_us_foreign_policy": 0.9090909090909091, "mmlu_eval_accuracy_virology": 0.5, "mmlu_eval_accuracy_world_religions": 0.8421052631578947, "mmlu_loss": 1.1635421842881344, "step": 1200 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.8097, "step": 1201 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 1.0626, "step": 1202 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.9397, "step": 1203 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.7692, "step": 1204 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.7332, "step": 1205 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.7034, "step": 1206 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.8147, "step": 1207 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 1.0052, "step": 1208 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 1.0604, "step": 1209 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.7698, "step": 1210 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 1.1458, "step": 1211 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.7823, "step": 1212 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 1.1579, "step": 1213 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 1.0388, "step": 1214 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.697, "step": 1215 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.8483, "step": 1216 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.9323, "step": 1217 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.902, "step": 1218 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 1.1739, "step": 1219 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 1.0201, "step": 1220 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 1.0126, "step": 1221 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 1.1078, "step": 1222 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.9514, "step": 1223 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 1.1046, "step": 1224 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.9549, "step": 1225 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 1.0732, "step": 1226 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.8868, "step": 1227 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 1.0812, "step": 1228 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.6936, "step": 1229 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 1.0752, "step": 1230 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.8982, "step": 1231 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.89, "step": 1232 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 1.058, "step": 1233 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 1.2578, "step": 1234 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.8404, "step": 1235 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 1.0112, "step": 1236 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 1.0559, "step": 1237 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.9368, "step": 1238 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.9532, "step": 1239 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 1.0058, "step": 1240 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 1.0594, "step": 1241 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.981, "step": 1242 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.9701, "step": 1243 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.7468, "step": 1244 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 1.0194, "step": 1245 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.8014, "step": 1246 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.7302, "step": 1247 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.9203, "step": 1248 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.9062, "step": 1249 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.6687, "step": 1250 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.694, "step": 1251 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.7752, "step": 1252 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.9853, "step": 1253 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.9799, "step": 1254 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 1.0552, "step": 1255 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 1.1693, "step": 1256 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.7293, "step": 1257 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 1.1078, "step": 1258 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.9654, "step": 1259 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.8734, "step": 1260 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 1.0474, "step": 1261 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.9415, "step": 1262 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 1.0061, "step": 1263 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 1.0357, "step": 1264 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 1.1854, "step": 1265 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.844, "step": 1266 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 1.0516, "step": 1267 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 1.0301, "step": 1268 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 1.0358, "step": 1269 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.9894, "step": 1270 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 1.0916, "step": 1271 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.7851, "step": 1272 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 1.038, "step": 1273 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.9088, "step": 1274 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.8303, "step": 1275 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.9736, "step": 1276 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.8064, "step": 1277 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.9176, "step": 1278 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.6995, "step": 1279 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.9598, "step": 1280 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 1.0569, "step": 1281 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.8764, "step": 1282 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.9731, "step": 1283 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.7202, "step": 1284 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.8756, "step": 1285 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.8384, "step": 1286 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.702, "step": 1287 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 1.0376, "step": 1288 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.9372, "step": 1289 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 1.0099, "step": 1290 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 1.2173, "step": 1291 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 1.1006, "step": 1292 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.9366, "step": 1293 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 1.0648, "step": 1294 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.8932, "step": 1295 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.8869, "step": 1296 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.834, "step": 1297 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.8932, "step": 1298 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 1.2747, "step": 1299 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.6947, "step": 1300 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 1.1903, "step": 1301 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 1.0685, "step": 1302 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.7656, "step": 1303 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.7455, "step": 1304 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.9835, "step": 1305 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.8162, "step": 1306 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.9939, "step": 1307 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.8812, "step": 1308 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.8216, "step": 1309 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.8864, "step": 1310 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.9947, "step": 1311 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.8229, "step": 1312 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.9307, "step": 1313 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.9473, "step": 1314 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.9948, "step": 1315 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.752, "step": 1316 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.8907, "step": 1317 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.984, "step": 1318 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.6554, "step": 1319 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 1.0803, "step": 1320 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 1.01, "step": 1321 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.876, "step": 1322 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.9118, "step": 1323 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.9389, "step": 1324 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.9333, "step": 1325 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 1.0152, "step": 1326 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 1.0131, "step": 1327 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 1.1655, "step": 1328 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.4948, "step": 1329 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.6669, "step": 1330 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.7445, "step": 1331 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.4553, "step": 1332 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.9737, "step": 1333 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.8219, "step": 1334 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.8532, "step": 1335 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.8163, "step": 1336 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 1.0148, "step": 1337 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.5825, "step": 1338 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 1.0351, "step": 1339 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.628, "step": 1340 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.9552, "step": 1341 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.9137, "step": 1342 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.9298, "step": 1343 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.8616, "step": 1344 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.9116, "step": 1345 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.846, "step": 1346 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 1.024, "step": 1347 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.7328, "step": 1348 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 1.1097, "step": 1349 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.9645, "step": 1350 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.7432, "step": 1351 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 1.0135, "step": 1352 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 1.0688, "step": 1353 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.813, "step": 1354 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.9276, "step": 1355 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.8306, "step": 1356 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.9427, "step": 1357 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 1.0434, "step": 1358 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.6395, "step": 1359 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 1.0312, "step": 1360 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.8187, "step": 1361 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.9621, "step": 1362 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.854, "step": 1363 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.8773, "step": 1364 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.6002, "step": 1365 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.9677, "step": 1366 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.7966, "step": 1367 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 1.0711, "step": 1368 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 1.01, "step": 1369 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 1.0587, "step": 1370 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.8383, "step": 1371 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.8494, "step": 1372 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.6869, "step": 1373 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.9725, "step": 1374 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 1.0039, "step": 1375 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.6533, "step": 1376 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.9908, "step": 1377 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 1.2014, "step": 1378 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 1.0024, "step": 1379 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.7944, "step": 1380 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.9906, "step": 1381 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 1.0065, "step": 1382 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.6793, "step": 1383 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.7944, "step": 1384 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.9347, "step": 1385 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 1.0294, "step": 1386 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 1.102, "step": 1387 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.9752, "step": 1388 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 1.2588, "step": 1389 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.8222, "step": 1390 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.9017, "step": 1391 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.8803, "step": 1392 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.7798, "step": 1393 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 1.0143, "step": 1394 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.8735, "step": 1395 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.8637, "step": 1396 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.796, "step": 1397 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.9473, "step": 1398 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.7099, "step": 1399 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.7815, "step": 1400 }, { "epoch": 0.24, "eval_loss": 0.9047876000404358, "eval_runtime": 110.2923, "eval_samples_per_second": 9.067, "eval_steps_per_second": 4.533, "step": 1400 }, { "epoch": 0.24, "mmlu_eval_accuracy": 0.5734744170655494, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.5714285714285714, "mmlu_eval_accuracy_astronomy": 0.6875, "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, "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": 0.2727272727272727, "mmlu_eval_accuracy_college_medicine": 0.5454545454545454, "mmlu_eval_accuracy_college_physics": 0.5454545454545454, "mmlu_eval_accuracy_computer_security": 0.6363636363636364, "mmlu_eval_accuracy_conceptual_physics": 0.46153846153846156, "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": 0.4, "mmlu_eval_accuracy_high_school_biology": 0.65625, "mmlu_eval_accuracy_high_school_chemistry": 0.45454545454545453, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.7777777777777778, "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, "mmlu_eval_accuracy_high_school_macroeconomics": 0.5348837209302325, "mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483, "mmlu_eval_accuracy_high_school_microeconomics": 0.6153846153846154, "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, "mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334, "mmlu_eval_accuracy_high_school_statistics": 0.43478260869565216, "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, "mmlu_eval_accuracy_human_aging": 0.782608695652174, "mmlu_eval_accuracy_human_sexuality": 0.5, "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": 0.76, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.7209302325581395, "mmlu_eval_accuracy_moral_disputes": 0.5, "mmlu_eval_accuracy_moral_scenarios": 0.39, "mmlu_eval_accuracy_nutrition": 0.696969696969697, "mmlu_eval_accuracy_philosophy": 0.6470588235294118, "mmlu_eval_accuracy_prehistory": 0.5714285714285714, "mmlu_eval_accuracy_professional_accounting": 0.4838709677419355, "mmlu_eval_accuracy_professional_law": 0.3588235294117647, "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": 0.5925925925925926, "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": 0.7368421052631579, "mmlu_loss": 1.1021898447611314, "step": 1400 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 1.0457, "step": 1401 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.8239, "step": 1402 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.6931, "step": 1403 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.7205, "step": 1404 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 1.0662, "step": 1405 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.9866, "step": 1406 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.9005, "step": 1407 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 1.165, "step": 1408 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 1.0733, "step": 1409 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.8949, "step": 1410 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.8355, "step": 1411 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.8346, "step": 1412 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.7124, "step": 1413 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 1.1231, "step": 1414 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.6632, "step": 1415 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.9914, "step": 1416 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.977, "step": 1417 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 1.1596, "step": 1418 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.9905, "step": 1419 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 1.1433, "step": 1420 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.8535, "step": 1421 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.6492, "step": 1422 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 1.1419, "step": 1423 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.8554, "step": 1424 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.9325, "step": 1425 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 1.0594, "step": 1426 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.6479, "step": 1427 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 1.3523, "step": 1428 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 1.1132, "step": 1429 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.4613, "step": 1430 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.9653, "step": 1431 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 1.0625, "step": 1432 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 1.162, "step": 1433 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 1.1495, "step": 1434 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 1.1676, "step": 1435 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.9625, "step": 1436 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.9673, "step": 1437 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.975, "step": 1438 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.9439, "step": 1439 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.7358, "step": 1440 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.9486, "step": 1441 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.8917, "step": 1442 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 1.0158, "step": 1443 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.954, "step": 1444 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.6126, "step": 1445 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.6595, "step": 1446 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.8585, "step": 1447 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.7316, "step": 1448 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.7689, "step": 1449 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 1.1471, "step": 1450 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.9839, "step": 1451 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.8737, "step": 1452 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.9729, "step": 1453 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.9791, "step": 1454 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.9729, "step": 1455 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.9874, "step": 1456 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.9309, "step": 1457 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.7401, "step": 1458 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.8597, "step": 1459 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.6712, "step": 1460 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.92, "step": 1461 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.9252, "step": 1462 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.8659, "step": 1463 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.9293, "step": 1464 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 1.0095, "step": 1465 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 1.0274, "step": 1466 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.986, "step": 1467 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 1.0193, "step": 1468 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.6303, "step": 1469 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.9425, "step": 1470 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.9402, "step": 1471 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.8932, "step": 1472 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.6765, "step": 1473 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.6577, "step": 1474 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.8567, "step": 1475 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.8334, "step": 1476 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.8366, "step": 1477 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 1.0941, "step": 1478 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 1.0511, "step": 1479 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 1.0647, "step": 1480 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 1.0667, "step": 1481 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 1.2602, "step": 1482 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.7396, "step": 1483 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.7607, "step": 1484 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.9259, "step": 1485 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.9851, "step": 1486 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.8868, "step": 1487 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.9309, "step": 1488 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.9507, "step": 1489 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.7386, "step": 1490 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.9873, "step": 1491 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.7522, "step": 1492 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.9752, "step": 1493 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.8809, "step": 1494 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 1.031, "step": 1495 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.9962, "step": 1496 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.7537, "step": 1497 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.9612, "step": 1498 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.9943, "step": 1499 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 1.0412, "step": 1500 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.9955, "step": 1501 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.9103, "step": 1502 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.9044, "step": 1503 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.7098, "step": 1504 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 1.1084, "step": 1505 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 1.0248, "step": 1506 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.9312, "step": 1507 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 1.0046, "step": 1508 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.9152, "step": 1509 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.967, "step": 1510 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.7832, "step": 1511 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.9026, "step": 1512 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 1.0499, "step": 1513 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.8158, "step": 1514 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.9261, "step": 1515 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.8585, "step": 1516 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.9228, "step": 1517 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.6909, "step": 1518 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.7727, "step": 1519 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.8496, "step": 1520 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.9023, "step": 1521 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 1.0662, "step": 1522 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 1.0904, "step": 1523 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.9046, "step": 1524 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 1.1035, "step": 1525 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 1.0167, "step": 1526 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.7496, "step": 1527 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.8981, "step": 1528 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.9403, "step": 1529 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.882, "step": 1530 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.8476, "step": 1531 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.8706, "step": 1532 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.8657, "step": 1533 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.9698, "step": 1534 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.9684, "step": 1535 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.6554, "step": 1536 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.9755, "step": 1537 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.9288, "step": 1538 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.6373, "step": 1539 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 1.0162, "step": 1540 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.9316, "step": 1541 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.9899, "step": 1542 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 1.1791, "step": 1543 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.917, "step": 1544 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 1.0882, "step": 1545 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.9485, "step": 1546 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.9763, "step": 1547 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.9891, "step": 1548 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 1.0764, "step": 1549 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.7988, "step": 1550 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 1.0144, "step": 1551 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 1.2043, "step": 1552 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.9708, "step": 1553 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.867, "step": 1554 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.8886, "step": 1555 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 1.153, "step": 1556 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.9383, "step": 1557 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.871, "step": 1558 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 1.0667, "step": 1559 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.8628, "step": 1560 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.9578, "step": 1561 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.8989, "step": 1562 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.819, "step": 1563 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 1.1138, "step": 1564 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 1.1434, "step": 1565 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.8055, "step": 1566 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.8829, "step": 1567 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.8822, "step": 1568 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.9265, "step": 1569 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.6188, "step": 1570 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.8969, "step": 1571 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.9319, "step": 1572 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.9108, "step": 1573 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.979, "step": 1574 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.676, "step": 1575 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.6061, "step": 1576 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.7879, "step": 1577 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.9169, "step": 1578 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.9146, "step": 1579 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.9389, "step": 1580 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.899, "step": 1581 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.7975, "step": 1582 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 1.1952, "step": 1583 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.646, "step": 1584 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.9621, "step": 1585 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.9262, "step": 1586 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.6333, "step": 1587 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.9966, "step": 1588 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.8236, "step": 1589 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.9626, "step": 1590 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.9965, "step": 1591 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.7464, "step": 1592 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 1.1806, "step": 1593 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.9095, "step": 1594 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.6467, "step": 1595 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 1.1713, "step": 1596 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.8584, "step": 1597 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 1.1198, "step": 1598 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.8631, "step": 1599 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.7316, "step": 1600 }, { "epoch": 0.28, "eval_loss": 0.9026634097099304, "eval_runtime": 110.4587, "eval_samples_per_second": 9.053, "eval_steps_per_second": 4.527, "step": 1600 }, { "epoch": 0.28, "mmlu_eval_accuracy": 0.5773837858341665, "mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182, "mmlu_eval_accuracy_anatomy": 0.5714285714285714, "mmlu_eval_accuracy_astronomy": 0.75, "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, "mmlu_eval_accuracy_clinical_knowledge": 0.6896551724137931, "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": 0.36363636363636365, "mmlu_eval_accuracy_college_medicine": 0.5909090909090909, "mmlu_eval_accuracy_college_physics": 0.5454545454545454, "mmlu_eval_accuracy_computer_security": 0.7272727272727273, "mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464, "mmlu_eval_accuracy_econometrics": 0.4166666666666667, "mmlu_eval_accuracy_electrical_engineering": 0.5625, "mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637, "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, "mmlu_eval_accuracy_global_facts": 0.5, "mmlu_eval_accuracy_high_school_biology": 0.625, "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": 0.8181818181818182, "mmlu_eval_accuracy_high_school_government_and_politics": 0.7619047619047619, "mmlu_eval_accuracy_high_school_macroeconomics": 0.6744186046511628, "mmlu_eval_accuracy_high_school_mathematics": 0.3103448275862069, "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": 0.391304347826087, "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, "mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307, "mmlu_eval_accuracy_human_aging": 0.7391304347826086, "mmlu_eval_accuracy_human_sexuality": 0.5, "mmlu_eval_accuracy_international_law": 0.8461538461538461, "mmlu_eval_accuracy_jurisprudence": 0.7272727272727273, "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, "mmlu_eval_accuracy_machine_learning": 0.2727272727272727, "mmlu_eval_accuracy_management": 0.9090909090909091, "mmlu_eval_accuracy_marketing": 0.84, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.6976744186046512, "mmlu_eval_accuracy_moral_disputes": 0.47368421052631576, "mmlu_eval_accuracy_moral_scenarios": 0.26, "mmlu_eval_accuracy_nutrition": 0.6666666666666666, "mmlu_eval_accuracy_philosophy": 0.6764705882352942, "mmlu_eval_accuracy_prehistory": 0.6857142857142857, "mmlu_eval_accuracy_professional_accounting": 0.41935483870967744, "mmlu_eval_accuracy_professional_law": 0.36470588235294116, "mmlu_eval_accuracy_professional_medicine": 0.6451612903225806, "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": 0.9090909090909091, "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, "mmlu_eval_accuracy_virology": 0.5, "mmlu_eval_accuracy_world_religions": 0.6842105263157895, "mmlu_loss": 1.140036242787894, "step": 1600 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 1.0481, "step": 1601 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.8466, "step": 1602 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 1.0609, "step": 1603 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.6823, "step": 1604 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 1.1245, "step": 1605 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.9216, "step": 1606 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 1.0855, "step": 1607 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 1.1768, "step": 1608 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.7548, "step": 1609 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.8119, "step": 1610 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.7479, "step": 1611 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.7363, "step": 1612 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 1.1142, "step": 1613 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.8241, "step": 1614 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.6031, "step": 1615 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.893, "step": 1616 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.565, "step": 1617 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 1.0891, "step": 1618 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.5645, "step": 1619 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.7426, "step": 1620 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.8513, "step": 1621 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.8541, "step": 1622 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.9697, "step": 1623 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.8382, "step": 1624 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 1.1409, "step": 1625 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.8682, "step": 1626 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.9514, "step": 1627 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.7746, "step": 1628 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.9685, "step": 1629 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.8294, "step": 1630 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.9728, "step": 1631 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.8709, "step": 1632 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 1.0537, "step": 1633 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.7771, "step": 1634 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 1.1287, "step": 1635 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.8077, "step": 1636 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.4784, "step": 1637 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.7075, "step": 1638 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.9602, "step": 1639 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 1.1349, "step": 1640 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.8985, "step": 1641 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.8818, "step": 1642 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 1.1265, "step": 1643 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 1.0855, "step": 1644 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 1.0399, "step": 1645 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 1.004, "step": 1646 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.9005, "step": 1647 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.6967, "step": 1648 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.8893, "step": 1649 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 1.3159, "step": 1650 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.9298, "step": 1651 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.6982, "step": 1652 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 1.0605, "step": 1653 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.9307, "step": 1654 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.7907, "step": 1655 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 1.1456, "step": 1656 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 1.1608, "step": 1657 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 1.1122, "step": 1658 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.7278, "step": 1659 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 1.0165, "step": 1660 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.9284, "step": 1661 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.8734, "step": 1662 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.9734, "step": 1663 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.915, "step": 1664 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.8267, "step": 1665 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.8128, "step": 1666 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.7821, "step": 1667 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.9268, "step": 1668 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 1.1136, "step": 1669 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.9294, "step": 1670 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.7422, "step": 1671 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 1.0364, "step": 1672 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.8833, "step": 1673 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 1.2082, "step": 1674 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.4895, "step": 1675 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 1.2245, "step": 1676 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.6364, "step": 1677 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 1.0856, "step": 1678 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.6596, "step": 1679 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 1.0019, "step": 1680 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.9143, "step": 1681 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.8857, "step": 1682 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.9062, "step": 1683 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.8131, "step": 1684 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.9473, "step": 1685 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.9367, "step": 1686 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.8505, "step": 1687 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.8769, "step": 1688 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.9556, "step": 1689 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 1.1358, "step": 1690 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.9999, "step": 1691 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.9405, "step": 1692 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.7477, "step": 1693 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.9446, "step": 1694 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.9333, "step": 1695 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.9709, "step": 1696 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.8907, "step": 1697 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 1.0255, "step": 1698 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.5662, "step": 1699 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.6037, "step": 1700 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 1.2396, "step": 1701 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 1.1345, "step": 1702 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.7037, "step": 1703 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 1.003, "step": 1704 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.965, "step": 1705 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.5819, "step": 1706 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 1.2952, "step": 1707 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.7551, "step": 1708 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.9841, "step": 1709 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.884, "step": 1710 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.9698, "step": 1711 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.9356, "step": 1712 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.9701, "step": 1713 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.9728, "step": 1714 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.8275, "step": 1715 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.9773, "step": 1716 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.9532, "step": 1717 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.9248, "step": 1718 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 1.015, "step": 1719 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.969, "step": 1720 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.8727, "step": 1721 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.9513, "step": 1722 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.7787, "step": 1723 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.8789, "step": 1724 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.7601, "step": 1725 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.9839, "step": 1726 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.741, "step": 1727 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 1.1651, "step": 1728 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.7537, "step": 1729 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.7428, "step": 1730 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 1.073, "step": 1731 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 1.2669, "step": 1732 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 1.3538, "step": 1733 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.8155, "step": 1734 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.5169, "step": 1735 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 1.3257, "step": 1736 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.932, "step": 1737 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 1.0033, "step": 1738 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.6314, "step": 1739 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 1.0774, "step": 1740 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 1.0201, "step": 1741 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.9513, "step": 1742 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 1.1012, "step": 1743 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.7773, "step": 1744 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.7121, "step": 1745 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 1.0273, "step": 1746 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.8657, "step": 1747 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.7096, "step": 1748 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.9786, "step": 1749 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 1.1128, "step": 1750 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 1.1068, "step": 1751 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 1.1605, "step": 1752 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.9198, "step": 1753 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.8049, "step": 1754 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.8641, "step": 1755 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 1.0075, "step": 1756 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.7693, "step": 1757 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.8952, "step": 1758 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 1.119, "step": 1759 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.6276, "step": 1760 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.9552, "step": 1761 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.7045, "step": 1762 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.5621, "step": 1763 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.7785, "step": 1764 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.6828, "step": 1765 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.8037, "step": 1766 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.7932, "step": 1767 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.9171, "step": 1768 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.8103, "step": 1769 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.8704, "step": 1770 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.7397, "step": 1771 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.8509, "step": 1772 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.8393, "step": 1773 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.8154, "step": 1774 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.6799, "step": 1775 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.9006, "step": 1776 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.7603, "step": 1777 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 1.1583, "step": 1778 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.8554, "step": 1779 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 1.1041, "step": 1780 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.9084, "step": 1781 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 1.0952, "step": 1782 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.8405, "step": 1783 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.72, "step": 1784 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.9186, "step": 1785 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.8696, "step": 1786 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 1.2332, "step": 1787 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.9331, "step": 1788 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.8249, "step": 1789 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.8024, "step": 1790 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.9808, "step": 1791 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 1.1609, "step": 1792 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 1.0432, "step": 1793 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.5744, "step": 1794 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.9126, "step": 1795 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.7519, "step": 1796 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.7399, "step": 1797 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.8335, "step": 1798 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.7204, "step": 1799 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.9239, "step": 1800 }, { "epoch": 0.31, "eval_loss": 0.9016578197479248, "eval_runtime": 110.3853, "eval_samples_per_second": 9.059, "eval_steps_per_second": 4.53, "step": 1800 }, { "epoch": 0.31, "mmlu_eval_accuracy": 0.5835431886993963, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.6428571428571429, "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": 0.6363636363636364, "mmlu_eval_accuracy_college_physics": 0.5454545454545454, "mmlu_eval_accuracy_computer_security": 0.5454545454545454, "mmlu_eval_accuracy_conceptual_physics": 0.46153846153846156, "mmlu_eval_accuracy_econometrics": 0.5, "mmlu_eval_accuracy_electrical_engineering": 0.3125, "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": 0.625, "mmlu_eval_accuracy_high_school_chemistry": 0.45454545454545453, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.7777777777777778, "mmlu_eval_accuracy_high_school_geography": 0.8636363636363636, "mmlu_eval_accuracy_high_school_government_and_politics": 0.7619047619047619, "mmlu_eval_accuracy_high_school_macroeconomics": 0.6046511627906976, "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, "mmlu_eval_accuracy_high_school_microeconomics": 0.6153846153846154, "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, "mmlu_eval_accuracy_high_school_psychology": 0.85, "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, "mmlu_eval_accuracy_high_school_world_history": 0.7692307692307693, "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": 0.45454545454545453, "mmlu_eval_accuracy_management": 0.8181818181818182, "mmlu_eval_accuracy_marketing": 0.8, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.7325581395348837, "mmlu_eval_accuracy_moral_disputes": 0.47368421052631576, "mmlu_eval_accuracy_moral_scenarios": 0.39, "mmlu_eval_accuracy_nutrition": 0.7272727272727273, "mmlu_eval_accuracy_philosophy": 0.7058823529411765, "mmlu_eval_accuracy_prehistory": 0.6, "mmlu_eval_accuracy_professional_accounting": 0.41935483870967744, "mmlu_eval_accuracy_professional_law": 0.3588235294117647, "mmlu_eval_accuracy_professional_medicine": 0.5806451612903226, "mmlu_eval_accuracy_professional_psychology": 0.5942028985507246, "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": 0.7368421052631579, "mmlu_loss": 1.290982566015216, "step": 1800 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.8861, "step": 1801 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.9973, "step": 1802 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.5797, "step": 1803 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 1.0669, "step": 1804 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.9888, "step": 1805 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.6615, "step": 1806 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.9412, "step": 1807 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 1.0279, "step": 1808 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.9713, "step": 1809 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 1.0208, "step": 1810 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.8319, "step": 1811 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.582, "step": 1812 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 1.1667, "step": 1813 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.8356, "step": 1814 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.7417, "step": 1815 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.8849, "step": 1816 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.7581, "step": 1817 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.9463, "step": 1818 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.8709, "step": 1819 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.9345, "step": 1820 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 1.0096, "step": 1821 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.8177, "step": 1822 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.7529, "step": 1823 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.9538, "step": 1824 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.7097, "step": 1825 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.9537, "step": 1826 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.8703, "step": 1827 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.8714, "step": 1828 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.6401, "step": 1829 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.8124, "step": 1830 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.8967, "step": 1831 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 1.0948, "step": 1832 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.7096, "step": 1833 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.9558, "step": 1834 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.9528, "step": 1835 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 1.0237, "step": 1836 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.5626, "step": 1837 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.9811, "step": 1838 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.5826, "step": 1839 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.8602, "step": 1840 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 1.0508, "step": 1841 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.7068, "step": 1842 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.3676, "step": 1843 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 1.132, "step": 1844 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.9544, "step": 1845 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.9713, "step": 1846 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 1.0606, "step": 1847 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 1.0574, "step": 1848 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.9056, "step": 1849 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.857, "step": 1850 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.8006, "step": 1851 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.9826, "step": 1852 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.9934, "step": 1853 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.7081, "step": 1854 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 1.0037, "step": 1855 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 1.1109, "step": 1856 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 1.0055, "step": 1857 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.9694, "step": 1858 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.878, "step": 1859 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.9343, "step": 1860 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.9441, "step": 1861 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.8539, "step": 1862 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.9388, "step": 1863 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.9866, "step": 1864 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 1.019, "step": 1865 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.783, "step": 1866 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.9656, "step": 1867 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.8388, "step": 1868 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.9911, "step": 1869 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.9199, "step": 1870 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.9383, "step": 1871 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.9882, "step": 1872 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.83, "step": 1873 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.7932, "step": 1874 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.7278, "step": 1875 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 1.1047, "step": 1876 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 1.0479, "step": 1877 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 1.0382, "step": 1878 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 1.0444, "step": 1879 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 1.0204, "step": 1880 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.9802, "step": 1881 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.8928, "step": 1882 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 1.137, "step": 1883 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.9081, "step": 1884 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 1.078, "step": 1885 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 1.0388, "step": 1886 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.917, "step": 1887 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.848, "step": 1888 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.9595, "step": 1889 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.9203, "step": 1890 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 1.107, "step": 1891 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 1.0873, "step": 1892 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.8284, "step": 1893 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.9256, "step": 1894 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.9287, "step": 1895 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.8771, "step": 1896 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.9388, "step": 1897 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.8986, "step": 1898 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.7856, "step": 1899 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 1.1539, "step": 1900 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.8248, "step": 1901 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 1.0704, "step": 1902 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.8061, "step": 1903 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.8487, "step": 1904 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.7871, "step": 1905 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 1.0811, "step": 1906 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.876, "step": 1907 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 1.0014, "step": 1908 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.941, "step": 1909 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.9903, "step": 1910 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.9848, "step": 1911 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.827, "step": 1912 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.9607, "step": 1913 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 1.1567, "step": 1914 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 1.2419, "step": 1915 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.7169, "step": 1916 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.7567, "step": 1917 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.7846, "step": 1918 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 1.2057, "step": 1919 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.9669, "step": 1920 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.9772, "step": 1921 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.917, "step": 1922 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.6853, "step": 1923 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.8962, "step": 1924 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 1.0153, "step": 1925 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.9483, "step": 1926 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.7316, "step": 1927 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.7645, "step": 1928 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.8776, "step": 1929 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 1.0547, "step": 1930 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 1.244, "step": 1931 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.8882, "step": 1932 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.805, "step": 1933 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.9784, "step": 1934 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.9533, "step": 1935 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.9506, "step": 1936 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.8547, "step": 1937 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.7829, "step": 1938 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.8727, "step": 1939 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 1.0177, "step": 1940 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 1.2156, "step": 1941 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 1.2015, "step": 1942 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.7217, "step": 1943 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 1.0639, "step": 1944 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.9373, "step": 1945 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.9204, "step": 1946 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.7761, "step": 1947 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 1.1031, "step": 1948 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.9225, "step": 1949 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.9749, "step": 1950 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.5441, "step": 1951 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 1.0727, "step": 1952 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.8769, "step": 1953 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.7757, "step": 1954 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 1.0264, "step": 1955 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.872, "step": 1956 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 1.0032, "step": 1957 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 1.0125, "step": 1958 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.833, "step": 1959 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.8379, "step": 1960 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.9098, "step": 1961 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 1.1083, "step": 1962 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.7103, "step": 1963 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.9414, "step": 1964 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.8108, "step": 1965 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.9826, "step": 1966 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.8703, "step": 1967 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.9133, "step": 1968 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.9266, "step": 1969 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.9246, "step": 1970 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.8698, "step": 1971 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.9331, "step": 1972 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.7282, "step": 1973 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 1.0804, "step": 1974 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.5188, "step": 1975 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.9075, "step": 1976 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 1.1036, "step": 1977 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.7017, "step": 1978 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 1.0593, "step": 1979 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.9196, "step": 1980 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.8718, "step": 1981 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.9056, "step": 1982 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 1.0921, "step": 1983 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 1.1394, "step": 1984 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.6592, "step": 1985 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.8442, "step": 1986 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.8606, "step": 1987 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.877, "step": 1988 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.9505, "step": 1989 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.7702, "step": 1990 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 1.1512, "step": 1991 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.8666, "step": 1992 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.9492, "step": 1993 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.9529, "step": 1994 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 1.0949, "step": 1995 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 1.0599, "step": 1996 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 1.1557, "step": 1997 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.808, "step": 1998 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.9303, "step": 1999 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 1.0117, "step": 2000 }, { "epoch": 0.35, "eval_loss": 0.9080213904380798, "eval_runtime": 110.3308, "eval_samples_per_second": 9.064, "eval_steps_per_second": 4.532, "step": 2000 }, { "epoch": 0.35, "mmlu_eval_accuracy": 0.5746202076019232, "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, "mmlu_eval_accuracy_anatomy": 0.5714285714285714, "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": 0.625, "mmlu_eval_accuracy_college_chemistry": 0.25, "mmlu_eval_accuracy_college_computer_science": 0.2727272727272727, "mmlu_eval_accuracy_college_mathematics": 0.36363636363636365, "mmlu_eval_accuracy_college_medicine": 0.5909090909090909, "mmlu_eval_accuracy_college_physics": 0.5454545454545454, "mmlu_eval_accuracy_computer_security": 0.7272727272727273, "mmlu_eval_accuracy_conceptual_physics": 0.5, "mmlu_eval_accuracy_econometrics": 0.3333333333333333, "mmlu_eval_accuracy_electrical_engineering": 0.625, "mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244, "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, "mmlu_eval_accuracy_global_facts": 0.4, "mmlu_eval_accuracy_high_school_biology": 0.625, "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": 0.627906976744186, "mmlu_eval_accuracy_high_school_mathematics": 0.41379310344827586, "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": 0.7272727272727273, "mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307, "mmlu_eval_accuracy_human_aging": 0.6956521739130435, "mmlu_eval_accuracy_human_sexuality": 0.3333333333333333, "mmlu_eval_accuracy_international_law": 0.8461538461538461, "mmlu_eval_accuracy_jurisprudence": 0.7272727272727273, "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, "mmlu_eval_accuracy_machine_learning": 0.36363636363636365, "mmlu_eval_accuracy_management": 0.8181818181818182, "mmlu_eval_accuracy_marketing": 0.88, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.7209302325581395, "mmlu_eval_accuracy_moral_disputes": 0.5, "mmlu_eval_accuracy_moral_scenarios": 0.26, "mmlu_eval_accuracy_nutrition": 0.6666666666666666, "mmlu_eval_accuracy_philosophy": 0.7058823529411765, "mmlu_eval_accuracy_prehistory": 0.6285714285714286, "mmlu_eval_accuracy_professional_accounting": 0.41935483870967744, "mmlu_eval_accuracy_professional_law": 0.38235294117647056, "mmlu_eval_accuracy_professional_medicine": 0.6451612903225806, "mmlu_eval_accuracy_professional_psychology": 0.5507246376811594, "mmlu_eval_accuracy_public_relations": 0.4166666666666667, "mmlu_eval_accuracy_security_studies": 0.6666666666666666, "mmlu_eval_accuracy_sociology": 0.7727272727272727, "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, "mmlu_eval_accuracy_virology": 0.5555555555555556, "mmlu_eval_accuracy_world_religions": 0.7894736842105263, "mmlu_loss": 0.9344300687040735, "step": 2000 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.9952, "step": 2001 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.9037, "step": 2002 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.8263, "step": 2003 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.7958, "step": 2004 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.773, "step": 2005 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.8491, "step": 2006 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 1.1072, "step": 2007 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.582, "step": 2008 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.9697, "step": 2009 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.9407, "step": 2010 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.5698, "step": 2011 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.8442, "step": 2012 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.8907, "step": 2013 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 1.1056, "step": 2014 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.8629, "step": 2015 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.6491, "step": 2016 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.9281, "step": 2017 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 1.1942, "step": 2018 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.9752, "step": 2019 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.7328, "step": 2020 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 1.2035, "step": 2021 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.9379, "step": 2022 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.8901, "step": 2023 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.9346, "step": 2024 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.8448, "step": 2025 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.817, "step": 2026 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.9975, "step": 2027 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.7574, "step": 2028 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.7715, "step": 2029 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.8818, "step": 2030 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.9364, "step": 2031 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.774, "step": 2032 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 1.045, "step": 2033 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 1.0385, "step": 2034 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.6523, "step": 2035 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.8913, "step": 2036 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.8883, "step": 2037 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.7504, "step": 2038 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.9895, "step": 2039 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.9049, "step": 2040 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.6508, "step": 2041 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.9662, "step": 2042 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.5888, "step": 2043 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 1.0204, "step": 2044 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.7545, "step": 2045 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.6436, "step": 2046 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.9044, "step": 2047 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.6673, "step": 2048 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 1.1131, "step": 2049 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.9441, "step": 2050 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.819, "step": 2051 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 1.1013, "step": 2052 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.7185, "step": 2053 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.9458, "step": 2054 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.9931, "step": 2055 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.9365, "step": 2056 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.9401, "step": 2057 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.7923, "step": 2058 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 1.2806, "step": 2059 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.7523, "step": 2060 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.9119, "step": 2061 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 1.143, "step": 2062 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.4914, "step": 2063 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.7204, "step": 2064 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 1.0523, "step": 2065 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.9833, "step": 2066 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 1.0241, "step": 2067 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.9166, "step": 2068 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.9621, "step": 2069 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.8666, "step": 2070 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.6649, "step": 2071 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.9221, "step": 2072 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.3156, "step": 2073 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 1.2357, "step": 2074 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.6854, "step": 2075 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.7813, "step": 2076 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.9267, "step": 2077 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.995, "step": 2078 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.7146, "step": 2079 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.8107, "step": 2080 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 1.1127, "step": 2081 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.9008, "step": 2082 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.7385, "step": 2083 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.6761, "step": 2084 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 1.0096, "step": 2085 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.8927, "step": 2086 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.8308, "step": 2087 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.7998, "step": 2088 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 1.0259, "step": 2089 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 1.012, "step": 2090 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.7784, "step": 2091 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.8975, "step": 2092 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.8821, "step": 2093 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.9902, "step": 2094 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.9042, "step": 2095 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.8111, "step": 2096 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.8562, "step": 2097 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.8918, "step": 2098 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.8309, "step": 2099 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.8029, "step": 2100 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 1.133, "step": 2101 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.7767, "step": 2102 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.7755, "step": 2103 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.7522, "step": 2104 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.9051, "step": 2105 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.9585, "step": 2106 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.8706, "step": 2107 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.899, "step": 2108 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.9662, "step": 2109 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.998, "step": 2110 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.9978, "step": 2111 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.9564, "step": 2112 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 1.146, "step": 2113 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 1.0891, "step": 2114 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.9982, "step": 2115 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 1.0882, "step": 2116 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.9053, "step": 2117 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 1.2171, "step": 2118 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.9186, "step": 2119 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 1.0179, "step": 2120 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 1.0957, "step": 2121 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 1.1715, "step": 2122 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.9055, "step": 2123 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.8766, "step": 2124 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 1.0212, "step": 2125 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 1.1009, "step": 2126 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.9297, "step": 2127 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.9089, "step": 2128 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.9805, "step": 2129 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.7713, "step": 2130 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 1.0771, "step": 2131 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.9245, "step": 2132 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.8529, "step": 2133 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.7142, "step": 2134 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 1.074, "step": 2135 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.8223, "step": 2136 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.7972, "step": 2137 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 1.0366, "step": 2138 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.9175, "step": 2139 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 1.0792, "step": 2140 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.8436, "step": 2141 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.3737, "step": 2142 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.8522, "step": 2143 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.8607, "step": 2144 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.712, "step": 2145 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.9815, "step": 2146 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 1.1881, "step": 2147 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.9778, "step": 2148 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.966, "step": 2149 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 1.1066, "step": 2150 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.8196, "step": 2151 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 1.2207, "step": 2152 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.7402, "step": 2153 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 1.044, "step": 2154 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.7672, "step": 2155 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.879, "step": 2156 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.8841, "step": 2157 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.9166, "step": 2158 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.9139, "step": 2159 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.9433, "step": 2160 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.91, "step": 2161 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.7912, "step": 2162 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.8971, "step": 2163 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.6751, "step": 2164 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 1.1885, "step": 2165 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 1.0015, "step": 2166 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 1.0335, "step": 2167 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.8651, "step": 2168 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.9286, "step": 2169 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.9044, "step": 2170 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.9918, "step": 2171 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.9132, "step": 2172 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 1.056, "step": 2173 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.8788, "step": 2174 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.8414, "step": 2175 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 1.0333, "step": 2176 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.8968, "step": 2177 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.8376, "step": 2178 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.7685, "step": 2179 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.9119, "step": 2180 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.7055, "step": 2181 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 1.1562, "step": 2182 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 1.085, "step": 2183 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.8232, "step": 2184 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.916, "step": 2185 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.9839, "step": 2186 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.8597, "step": 2187 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.9933, "step": 2188 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.8569, "step": 2189 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 1.0591, "step": 2190 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 1.209, "step": 2191 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 1.0552, "step": 2192 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 1.0285, "step": 2193 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.8728, "step": 2194 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.8855, "step": 2195 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.8087, "step": 2196 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.8707, "step": 2197 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 1.0339, "step": 2198 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.9687, "step": 2199 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 1.159, "step": 2200 }, { "epoch": 0.38, "eval_loss": 0.8984089493751526, "eval_runtime": 110.3899, "eval_samples_per_second": 9.059, "eval_steps_per_second": 4.529, "step": 2200 }, { "epoch": 0.38, "mmlu_eval_accuracy": 0.5437481492439012, "mmlu_eval_accuracy_abstract_algebra": 0.09090909090909091, "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": 0.36363636363636365, "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": 0.4230769230769231, "mmlu_eval_accuracy_econometrics": 0.25, "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": 0.46875, "mmlu_eval_accuracy_high_school_chemistry": 0.2727272727272727, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.8888888888888888, "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, "mmlu_eval_accuracy_high_school_government_and_politics": 0.7619047619047619, "mmlu_eval_accuracy_high_school_macroeconomics": 0.627906976744186, "mmlu_eval_accuracy_high_school_mathematics": 0.3448275862068966, "mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156, "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, "mmlu_eval_accuracy_high_school_psychology": 0.85, "mmlu_eval_accuracy_high_school_statistics": 0.43478260869565216, "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, "mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307, "mmlu_eval_accuracy_human_aging": 0.782608695652174, "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, "mmlu_eval_accuracy_international_law": 0.8461538461538461, "mmlu_eval_accuracy_jurisprudence": 0.7272727272727273, "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, "mmlu_eval_accuracy_machine_learning": 0.2727272727272727, "mmlu_eval_accuracy_management": 0.7272727272727273, "mmlu_eval_accuracy_marketing": 0.88, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.7209302325581395, "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, "mmlu_eval_accuracy_moral_scenarios": 0.3, "mmlu_eval_accuracy_nutrition": 0.6060606060606061, "mmlu_eval_accuracy_philosophy": 0.7647058823529411, "mmlu_eval_accuracy_prehistory": 0.5142857142857142, "mmlu_eval_accuracy_professional_accounting": 0.5483870967741935, "mmlu_eval_accuracy_professional_law": 0.32941176470588235, "mmlu_eval_accuracy_professional_medicine": 0.5161290322580645, "mmlu_eval_accuracy_professional_psychology": 0.6231884057971014, "mmlu_eval_accuracy_public_relations": 0.3333333333333333, "mmlu_eval_accuracy_security_studies": 0.5925925925925926, "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": 1.0509194482127617, "step": 2200 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.9104, "step": 2201 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.889, "step": 2202 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 1.0069, "step": 2203 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 1.0214, "step": 2204 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.9769, "step": 2205 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.7884, "step": 2206 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.9876, "step": 2207 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 1.0112, "step": 2208 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.7887, "step": 2209 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.8957, "step": 2210 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.9512, "step": 2211 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 1.0379, "step": 2212 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.6204, "step": 2213 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.9991, "step": 2214 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.7998, "step": 2215 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 1.0703, "step": 2216 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.8789, "step": 2217 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.91, "step": 2218 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 1.0819, "step": 2219 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.8084, "step": 2220 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.649, "step": 2221 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.8051, "step": 2222 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.9363, "step": 2223 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 1.0575, "step": 2224 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.9734, "step": 2225 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.8792, "step": 2226 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.6813, "step": 2227 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.9216, "step": 2228 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.884, "step": 2229 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.9915, "step": 2230 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 1.0418, "step": 2231 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 1.0262, "step": 2232 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.4824, "step": 2233 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 1.1389, "step": 2234 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.9309, "step": 2235 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 1.0182, "step": 2236 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.9444, "step": 2237 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.7859, "step": 2238 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.8489, "step": 2239 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.8109, "step": 2240 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.9882, "step": 2241 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 1.2128, "step": 2242 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.7573, "step": 2243 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.848, "step": 2244 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 1.1021, "step": 2245 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.8789, "step": 2246 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.8703, "step": 2247 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 1.0375, "step": 2248 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.7155, "step": 2249 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 1.0135, "step": 2250 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.934, "step": 2251 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.8631, "step": 2252 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 1.0869, "step": 2253 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.9288, "step": 2254 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 1.0499, "step": 2255 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.8054, "step": 2256 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 1.0299, "step": 2257 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 1.0734, "step": 2258 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.9915, "step": 2259 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.6724, "step": 2260 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 1.3296, "step": 2261 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.7365, "step": 2262 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.8202, "step": 2263 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 1.0635, "step": 2264 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.9636, "step": 2265 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 1.1173, "step": 2266 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.8827, "step": 2267 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 1.2391, "step": 2268 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.9088, "step": 2269 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.8818, "step": 2270 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.963, "step": 2271 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.6992, "step": 2272 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.9811, "step": 2273 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 1.2104, "step": 2274 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.9834, "step": 2275 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.8405, "step": 2276 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.7316, "step": 2277 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 1.0023, "step": 2278 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 1.0835, "step": 2279 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.9247, "step": 2280 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.68, "step": 2281 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.864, "step": 2282 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.7944, "step": 2283 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.8688, "step": 2284 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.8549, "step": 2285 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.998, "step": 2286 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 1.0276, "step": 2287 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.8476, "step": 2288 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.8927, "step": 2289 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 1.3146, "step": 2290 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.8451, "step": 2291 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.9684, "step": 2292 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.9904, "step": 2293 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 1.0331, "step": 2294 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.9783, "step": 2295 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.7968, "step": 2296 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.8066, "step": 2297 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.9057, "step": 2298 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.5387, "step": 2299 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.7837, "step": 2300 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.9941, "step": 2301 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.917, "step": 2302 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.9169, "step": 2303 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.8542, "step": 2304 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.9436, "step": 2305 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.8672, "step": 2306 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.8136, "step": 2307 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.8522, "step": 2308 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 1.0793, "step": 2309 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.9711, "step": 2310 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 1.1168, "step": 2311 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.792, "step": 2312 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.9746, "step": 2313 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.9325, "step": 2314 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.8401, "step": 2315 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.943, "step": 2316 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.6722, "step": 2317 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.7603, "step": 2318 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.8198, "step": 2319 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 1.0654, "step": 2320 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.8195, "step": 2321 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.7878, "step": 2322 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.7228, "step": 2323 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.9557, "step": 2324 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.8609, "step": 2325 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.6681, "step": 2326 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.9364, "step": 2327 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.8597, "step": 2328 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.9075, "step": 2329 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 1.0046, "step": 2330 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.9087, "step": 2331 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 1.5566, "step": 2332 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.7549, "step": 2333 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.7552, "step": 2334 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.942, "step": 2335 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.8335, "step": 2336 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 1.1403, "step": 2337 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.7726, "step": 2338 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.9638, "step": 2339 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.7546, "step": 2340 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.6751, "step": 2341 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.9128, "step": 2342 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.9992, "step": 2343 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.997, "step": 2344 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.8695, "step": 2345 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.934, "step": 2346 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 1.256, "step": 2347 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.7982, "step": 2348 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.638, "step": 2349 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.979, "step": 2350 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 1.0664, "step": 2351 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.8265, "step": 2352 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 1.0225, "step": 2353 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.9218, "step": 2354 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.8377, "step": 2355 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.6982, "step": 2356 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.9857, "step": 2357 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.6776, "step": 2358 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.8543, "step": 2359 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.9227, "step": 2360 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.8818, "step": 2361 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.9963, "step": 2362 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.512, "step": 2363 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.761, "step": 2364 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.8358, "step": 2365 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.7348, "step": 2366 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.6923, "step": 2367 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 1.0769, "step": 2368 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.9776, "step": 2369 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.8275, "step": 2370 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.9807, "step": 2371 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 1.0599, "step": 2372 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.7688, "step": 2373 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.9354, "step": 2374 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.7052, "step": 2375 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.7836, "step": 2376 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 1.071, "step": 2377 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.9773, "step": 2378 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.7118, "step": 2379 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.8711, "step": 2380 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.5534, "step": 2381 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.8832, "step": 2382 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.7922, "step": 2383 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 1.0244, "step": 2384 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.8726, "step": 2385 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 1.1549, "step": 2386 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 1.04, "step": 2387 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.8692, "step": 2388 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.7383, "step": 2389 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.9307, "step": 2390 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 1.0106, "step": 2391 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.8818, "step": 2392 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.9385, "step": 2393 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.9132, "step": 2394 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.6992, "step": 2395 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.9018, "step": 2396 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.988, "step": 2397 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.9566, "step": 2398 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.9956, "step": 2399 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.6444, "step": 2400 }, { "epoch": 0.42, "eval_loss": 0.8968870639801025, "eval_runtime": 110.3745, "eval_samples_per_second": 9.06, "eval_steps_per_second": 4.53, "step": 2400 }, { "epoch": 0.42, "mmlu_eval_accuracy": 0.5635320976887818, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.5714285714285714, "mmlu_eval_accuracy_astronomy": 0.75, "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, "mmlu_eval_accuracy_clinical_knowledge": 0.5172413793103449, "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": 0.36363636363636365, "mmlu_eval_accuracy_college_medicine": 0.5454545454545454, "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": 0.3333333333333333, "mmlu_eval_accuracy_electrical_engineering": 0.4375, "mmlu_eval_accuracy_elementary_mathematics": 0.4878048780487805, "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, "mmlu_eval_accuracy_global_facts": 0.3, "mmlu_eval_accuracy_high_school_biology": 0.5625, "mmlu_eval_accuracy_high_school_chemistry": 0.2727272727272727, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, "mmlu_eval_accuracy_high_school_macroeconomics": 0.6744186046511628, "mmlu_eval_accuracy_high_school_mathematics": 0.27586206896551724, "mmlu_eval_accuracy_high_school_microeconomics": 0.5769230769230769, "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": 0.6818181818181818, "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, "mmlu_eval_accuracy_human_aging": 0.6956521739130435, "mmlu_eval_accuracy_human_sexuality": 0.5, "mmlu_eval_accuracy_international_law": 0.9230769230769231, "mmlu_eval_accuracy_jurisprudence": 0.7272727272727273, "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": 0.7441860465116279, "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, "mmlu_eval_accuracy_moral_scenarios": 0.37, "mmlu_eval_accuracy_nutrition": 0.6363636363636364, "mmlu_eval_accuracy_philosophy": 0.6764705882352942, "mmlu_eval_accuracy_prehistory": 0.6285714285714286, "mmlu_eval_accuracy_professional_accounting": 0.5161290322580645, "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": 0.4166666666666667, "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": 0.5, "mmlu_eval_accuracy_world_religions": 0.6842105263157895, "mmlu_loss": 1.427709179665339, "step": 2400 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.8952, "step": 2401 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.9556, "step": 2402 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.8502, "step": 2403 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.8271, "step": 2404 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.8847, "step": 2405 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 1.0617, "step": 2406 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 1.1388, "step": 2407 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.8774, "step": 2408 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 1.1396, "step": 2409 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.9474, "step": 2410 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.8295, "step": 2411 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.8485, "step": 2412 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 1.037, "step": 2413 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.9972, "step": 2414 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.6409, "step": 2415 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.8496, "step": 2416 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 1.0181, "step": 2417 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 1.1156, "step": 2418 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.9161, "step": 2419 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.9238, "step": 2420 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.9758, "step": 2421 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.9556, "step": 2422 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.7411, "step": 2423 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 1.0104, "step": 2424 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.4541, "step": 2425 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.7559, "step": 2426 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 1.1462, "step": 2427 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.7156, "step": 2428 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 1.092, "step": 2429 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 1.0372, "step": 2430 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.814, "step": 2431 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.6362, "step": 2432 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.851, "step": 2433 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.8895, "step": 2434 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.8438, "step": 2435 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.8605, "step": 2436 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.9933, "step": 2437 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.5805, "step": 2438 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.938, "step": 2439 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 1.013, "step": 2440 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.7921, "step": 2441 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.8779, "step": 2442 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.9677, "step": 2443 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.7941, "step": 2444 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.6297, "step": 2445 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.8817, "step": 2446 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.6562, "step": 2447 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 1.1809, "step": 2448 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.7665, "step": 2449 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.7866, "step": 2450 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.722, "step": 2451 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.9219, "step": 2452 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.8487, "step": 2453 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 1.0712, "step": 2454 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.9742, "step": 2455 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 1.0403, "step": 2456 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 1.1125, "step": 2457 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.7543, "step": 2458 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.5176, "step": 2459 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.9292, "step": 2460 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.8897, "step": 2461 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.9613, "step": 2462 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.9554, "step": 2463 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.8294, "step": 2464 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.9746, "step": 2465 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 1.1198, "step": 2466 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.9713, "step": 2467 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.9858, "step": 2468 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 1.1673, "step": 2469 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.9276, "step": 2470 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.9656, "step": 2471 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.9983, "step": 2472 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 1.2951, "step": 2473 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 1.0552, "step": 2474 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 1.1086, "step": 2475 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 1.0388, "step": 2476 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.6599, "step": 2477 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.9305, "step": 2478 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 1.0802, "step": 2479 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 1.0056, "step": 2480 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.9443, "step": 2481 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.7703, "step": 2482 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 1.0788, "step": 2483 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.8192, "step": 2484 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.8694, "step": 2485 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.6446, "step": 2486 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 1.1027, "step": 2487 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 1.2275, "step": 2488 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.8038, "step": 2489 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.9088, "step": 2490 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.7105, "step": 2491 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.7974, "step": 2492 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 1.3721, "step": 2493 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 1.1234, "step": 2494 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 1.0797, "step": 2495 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 1.007, "step": 2496 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 1.0765, "step": 2497 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.8756, "step": 2498 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.542, "step": 2499 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 1.0763, "step": 2500 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.5445, "step": 2501 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 1.0878, "step": 2502 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.7974, "step": 2503 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.9382, "step": 2504 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.9498, "step": 2505 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.7959, "step": 2506 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 1.0188, "step": 2507 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.8907, "step": 2508 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.9334, "step": 2509 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 1.0751, "step": 2510 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.8713, "step": 2511 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.9616, "step": 2512 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.8613, "step": 2513 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 1.2193, "step": 2514 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.9345, "step": 2515 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.9079, "step": 2516 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.8152, "step": 2517 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.8581, "step": 2518 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 1.268, "step": 2519 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.8847, "step": 2520 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.6181, "step": 2521 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.9265, "step": 2522 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 1.1122, "step": 2523 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 1.0066, "step": 2524 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.9401, "step": 2525 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.8388, "step": 2526 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.6513, "step": 2527 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 1.5726, "step": 2528 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.8772, "step": 2529 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 1.0924, "step": 2530 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.8446, "step": 2531 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 1.2351, "step": 2532 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.9158, "step": 2533 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.9965, "step": 2534 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.9546, "step": 2535 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.8331, "step": 2536 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.8944, "step": 2537 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.8719, "step": 2538 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.7828, "step": 2539 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.7572, "step": 2540 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.7414, "step": 2541 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 1.1464, "step": 2542 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.6791, "step": 2543 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 1.2151, "step": 2544 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.9382, "step": 2545 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 1.2149, "step": 2546 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 1.0016, "step": 2547 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.642, "step": 2548 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 1.1271, "step": 2549 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 1.1438, "step": 2550 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.9165, "step": 2551 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.785, "step": 2552 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.8218, "step": 2553 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 1.038, "step": 2554 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 1.0498, "step": 2555 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.8675, "step": 2556 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.8646, "step": 2557 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 1.0259, "step": 2558 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.9956, "step": 2559 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.9428, "step": 2560 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.7295, "step": 2561 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.9065, "step": 2562 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.7991, "step": 2563 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.9147, "step": 2564 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.73, "step": 2565 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.9066, "step": 2566 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.8729, "step": 2567 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.9201, "step": 2568 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.7766, "step": 2569 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 1.2558, "step": 2570 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.8493, "step": 2571 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.9762, "step": 2572 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.9912, "step": 2573 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 1.0156, "step": 2574 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 1.0763, "step": 2575 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.7863, "step": 2576 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.9712, "step": 2577 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.8158, "step": 2578 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.5915, "step": 2579 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 1.196, "step": 2580 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 1.0765, "step": 2581 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.856, "step": 2582 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.7047, "step": 2583 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.9032, "step": 2584 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 1.0937, "step": 2585 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 1.0147, "step": 2586 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 1.1712, "step": 2587 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.952, "step": 2588 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 1.3514, "step": 2589 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.9998, "step": 2590 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.9984, "step": 2591 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.8656, "step": 2592 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.9361, "step": 2593 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.8697, "step": 2594 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.9485, "step": 2595 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.9746, "step": 2596 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 1.246, "step": 2597 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.8261, "step": 2598 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.9121, "step": 2599 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 1.042, "step": 2600 }, { "epoch": 0.45, "eval_loss": 0.9026604294776917, "eval_runtime": 110.3149, "eval_samples_per_second": 9.065, "eval_steps_per_second": 4.532, "step": 2600 }, { "epoch": 0.45, "mmlu_eval_accuracy": 0.532106348064953, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.5714285714285714, "mmlu_eval_accuracy_astronomy": 0.5625, "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, "mmlu_eval_accuracy_clinical_knowledge": 0.4827586206896552, "mmlu_eval_accuracy_college_biology": 0.625, "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": 0.36363636363636365, "mmlu_eval_accuracy_computer_security": 0.45454545454545453, "mmlu_eval_accuracy_conceptual_physics": 0.34615384615384615, "mmlu_eval_accuracy_econometrics": 0.25, "mmlu_eval_accuracy_electrical_engineering": 0.4375, "mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637, "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, "mmlu_eval_accuracy_global_facts": 0.4, "mmlu_eval_accuracy_high_school_biology": 0.34375, "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": 0.7142857142857143, "mmlu_eval_accuracy_high_school_macroeconomics": 0.5348837209302325, "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, "mmlu_eval_accuracy_high_school_microeconomics": 0.4230769230769231, "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, "mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334, "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, "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": 0.8181818181818182, "mmlu_eval_accuracy_marketing": 0.84, "mmlu_eval_accuracy_medical_genetics": 1.0, "mmlu_eval_accuracy_miscellaneous": 0.7209302325581395, "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, "mmlu_eval_accuracy_moral_scenarios": 0.39, "mmlu_eval_accuracy_nutrition": 0.6666666666666666, "mmlu_eval_accuracy_philosophy": 0.5588235294117647, "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": 0.6086956521739131, "mmlu_eval_accuracy_public_relations": 0.5833333333333334, "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": 0.5555555555555556, "mmlu_eval_accuracy_world_religions": 0.6842105263157895, "mmlu_loss": 1.0487286608967705, "step": 2600 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.7087, "step": 2601 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.6391, "step": 2602 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.8299, "step": 2603 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.9366, "step": 2604 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 1.1704, "step": 2605 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.932, "step": 2606 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 1.0719, "step": 2607 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 1.0468, "step": 2608 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.8264, "step": 2609 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.8439, "step": 2610 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 1.0007, "step": 2611 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.8339, "step": 2612 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.8607, "step": 2613 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.9786, "step": 2614 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.7807, "step": 2615 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.8733, "step": 2616 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.8925, "step": 2617 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.6912, "step": 2618 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 1.0497, "step": 2619 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.936, "step": 2620 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.9347, "step": 2621 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 1.0629, "step": 2622 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 1.0266, "step": 2623 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.8872, "step": 2624 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.8815, "step": 2625 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.7444, "step": 2626 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 1.0486, "step": 2627 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 1.0053, "step": 2628 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.926, "step": 2629 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 1.0822, "step": 2630 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.98, "step": 2631 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.9147, "step": 2632 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.9305, "step": 2633 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.9485, "step": 2634 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 1.3903, "step": 2635 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 1.0334, "step": 2636 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.7571, "step": 2637 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 1.0823, "step": 2638 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 1.0794, "step": 2639 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 1.1057, "step": 2640 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.8697, "step": 2641 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.7519, "step": 2642 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.8654, "step": 2643 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 1.1039, "step": 2644 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.7595, "step": 2645 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.8981, "step": 2646 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.9598, "step": 2647 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.9977, "step": 2648 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 1.1031, "step": 2649 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 1.006, "step": 2650 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 1.1319, "step": 2651 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.9461, "step": 2652 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.623, "step": 2653 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.9508, "step": 2654 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.8671, "step": 2655 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.92, "step": 2656 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.5402, "step": 2657 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.8508, "step": 2658 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.9746, "step": 2659 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.665, "step": 2660 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 1.2158, "step": 2661 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 1.0086, "step": 2662 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.6695, "step": 2663 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.929, "step": 2664 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.8479, "step": 2665 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.8512, "step": 2666 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.9906, "step": 2667 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.7427, "step": 2668 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 1.1677, "step": 2669 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.7493, "step": 2670 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 1.0627, "step": 2671 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.8038, "step": 2672 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.853, "step": 2673 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.9003, "step": 2674 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.987, "step": 2675 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.7759, "step": 2676 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 1.0824, "step": 2677 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.8688, "step": 2678 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 1.0376, "step": 2679 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 1.0578, "step": 2680 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.8119, "step": 2681 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.9184, "step": 2682 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 1.0192, "step": 2683 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.7385, "step": 2684 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.825, "step": 2685 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.8762, "step": 2686 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.9545, "step": 2687 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.8356, "step": 2688 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 1.0361, "step": 2689 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 1.016, "step": 2690 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.8674, "step": 2691 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.9502, "step": 2692 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 1.0425, "step": 2693 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.9449, "step": 2694 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.8518, "step": 2695 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.9205, "step": 2696 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.7354, "step": 2697 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.8237, "step": 2698 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.8656, "step": 2699 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.9938, "step": 2700 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.9326, "step": 2701 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.882, "step": 2702 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.978, "step": 2703 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 1.0532, "step": 2704 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.9833, "step": 2705 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 1.2043, "step": 2706 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.8197, "step": 2707 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.822, "step": 2708 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.9467, "step": 2709 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 1.1576, "step": 2710 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.8553, "step": 2711 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 1.0299, "step": 2712 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.8295, "step": 2713 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.9015, "step": 2714 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.9354, "step": 2715 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 1.0557, "step": 2716 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.9126, "step": 2717 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.786, "step": 2718 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.9239, "step": 2719 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 1.0074, "step": 2720 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.713, "step": 2721 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.8212, "step": 2722 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.8515, "step": 2723 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 1.0707, "step": 2724 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.8161, "step": 2725 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.939, "step": 2726 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.7054, "step": 2727 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.9481, "step": 2728 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.8719, "step": 2729 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.7551, "step": 2730 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.9022, "step": 2731 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.7636, "step": 2732 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.7737, "step": 2733 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.9664, "step": 2734 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.9388, "step": 2735 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.4161, "step": 2736 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.8157, "step": 2737 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 1.0653, "step": 2738 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 1.0331, "step": 2739 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 1.0627, "step": 2740 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.854, "step": 2741 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.9309, "step": 2742 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.6236, "step": 2743 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.7332, "step": 2744 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 1.1913, "step": 2745 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.9857, "step": 2746 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.8513, "step": 2747 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.8796, "step": 2748 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.8354, "step": 2749 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.7769, "step": 2750 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.6815, "step": 2751 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 1.0551, "step": 2752 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.9876, "step": 2753 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.7779, "step": 2754 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 1.0413, "step": 2755 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.789, "step": 2756 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.8292, "step": 2757 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.9946, "step": 2758 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 1.005, "step": 2759 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.9449, "step": 2760 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.8691, "step": 2761 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.7446, "step": 2762 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.9228, "step": 2763 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.6823, "step": 2764 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.972, "step": 2765 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.9797, "step": 2766 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.8654, "step": 2767 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 1.0319, "step": 2768 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.9667, "step": 2769 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 1.0594, "step": 2770 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 1.0956, "step": 2771 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 1.1654, "step": 2772 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 1.139, "step": 2773 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.8733, "step": 2774 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 1.028, "step": 2775 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 1.0609, "step": 2776 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.9754, "step": 2777 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.7016, "step": 2778 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.9857, "step": 2779 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 1.1226, "step": 2780 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.9374, "step": 2781 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 1.0218, "step": 2782 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 1.0328, "step": 2783 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.9651, "step": 2784 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.841, "step": 2785 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.6244, "step": 2786 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.7853, "step": 2787 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.7704, "step": 2788 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.8024, "step": 2789 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 1.0495, "step": 2790 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.7817, "step": 2791 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.9122, "step": 2792 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.6119, "step": 2793 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.98, "step": 2794 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.9686, "step": 2795 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 1.2192, "step": 2796 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.8782, "step": 2797 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 1.1613, "step": 2798 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.9479, "step": 2799 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.9282, "step": 2800 }, { "epoch": 0.49, "eval_loss": 0.8911744356155396, "eval_runtime": 110.3229, "eval_samples_per_second": 9.064, "eval_steps_per_second": 4.532, "step": 2800 }, { "epoch": 0.49, "mmlu_eval_accuracy": 0.5353976874158105, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.5714285714285714, "mmlu_eval_accuracy_astronomy": 0.5, "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, "mmlu_eval_accuracy_clinical_knowledge": 0.4827586206896552, "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": 0.5454545454545454, "mmlu_eval_accuracy_college_medicine": 0.45454545454545453, "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": 0.08333333333333333, "mmlu_eval_accuracy_electrical_engineering": 0.4375, "mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637, "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": 0.7222222222222222, "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, "mmlu_eval_accuracy_high_school_macroeconomics": 0.5116279069767442, "mmlu_eval_accuracy_high_school_mathematics": 0.27586206896551724, "mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156, "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, "mmlu_eval_accuracy_high_school_psychology": 0.8166666666666667, "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, "mmlu_eval_accuracy_high_school_world_history": 0.5769230769230769, "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": 0.92, "mmlu_eval_accuracy_medical_genetics": 1.0, "mmlu_eval_accuracy_miscellaneous": 0.7325581395348837, "mmlu_eval_accuracy_moral_disputes": 0.5, "mmlu_eval_accuracy_moral_scenarios": 0.42, "mmlu_eval_accuracy_nutrition": 0.6363636363636364, "mmlu_eval_accuracy_philosophy": 0.6470588235294118, "mmlu_eval_accuracy_prehistory": 0.45714285714285713, "mmlu_eval_accuracy_professional_accounting": 0.5483870967741935, "mmlu_eval_accuracy_professional_law": 0.3235294117647059, "mmlu_eval_accuracy_professional_medicine": 0.5483870967741935, "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": 0.6111111111111112, "mmlu_eval_accuracy_world_religions": 0.6842105263157895, "mmlu_loss": 1.113190432499812, "step": 2800 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.8398, "step": 2801 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.9082, "step": 2802 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 1.1306, "step": 2803 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.9218, "step": 2804 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.9111, "step": 2805 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.9649, "step": 2806 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 1.0217, "step": 2807 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.9815, "step": 2808 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.6853, "step": 2809 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.8451, "step": 2810 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.9635, "step": 2811 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.927, "step": 2812 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.9608, "step": 2813 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.6359, "step": 2814 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.6436, "step": 2815 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.7346, "step": 2816 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.8078, "step": 2817 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.8085, "step": 2818 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.9978, "step": 2819 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.7971, "step": 2820 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.8126, "step": 2821 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 1.0168, "step": 2822 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.9046, "step": 2823 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.7935, "step": 2824 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.9558, "step": 2825 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 1.0655, "step": 2826 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.5102, "step": 2827 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 1.114, "step": 2828 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.5609, "step": 2829 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 1.0286, "step": 2830 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.6776, "step": 2831 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.9426, "step": 2832 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.7363, "step": 2833 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.9411, "step": 2834 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 1.0181, "step": 2835 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.7287, "step": 2836 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 1.1995, "step": 2837 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.9456, "step": 2838 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.9974, "step": 2839 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 1.0121, "step": 2840 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.8802, "step": 2841 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.9308, "step": 2842 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.6376, "step": 2843 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 1.0511, "step": 2844 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 1.0381, "step": 2845 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 1.292, "step": 2846 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.8407, "step": 2847 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.8083, "step": 2848 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.9213, "step": 2849 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 1.0622, "step": 2850 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.8684, "step": 2851 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 1.112, "step": 2852 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.7791, "step": 2853 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 1.136, "step": 2854 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 1.0468, "step": 2855 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.9936, "step": 2856 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.8129, "step": 2857 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.8312, "step": 2858 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.6621, "step": 2859 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.9586, "step": 2860 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.942, "step": 2861 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.9017, "step": 2862 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.9313, "step": 2863 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.8977, "step": 2864 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.8397, "step": 2865 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.8251, "step": 2866 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 1.093, "step": 2867 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.7893, "step": 2868 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.7188, "step": 2869 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.5492, "step": 2870 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 1.0885, "step": 2871 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 1.0124, "step": 2872 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 1.1139, "step": 2873 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 1.091, "step": 2874 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.9163, "step": 2875 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.9986, "step": 2876 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.8868, "step": 2877 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.9535, "step": 2878 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.8134, "step": 2879 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 1.0484, "step": 2880 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.7746, "step": 2881 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.7968, "step": 2882 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 1.06, "step": 2883 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.8402, "step": 2884 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.8773, "step": 2885 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 1.2739, "step": 2886 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.9903, "step": 2887 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.6902, "step": 2888 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 1.0095, "step": 2889 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.7166, "step": 2890 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 1.1762, "step": 2891 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.8377, "step": 2892 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.7947, "step": 2893 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.9523, "step": 2894 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.8087, "step": 2895 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.8916, "step": 2896 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.955, "step": 2897 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 1.0069, "step": 2898 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.8194, "step": 2899 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.7437, "step": 2900 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.8682, "step": 2901 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.681, "step": 2902 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.792, "step": 2903 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.8615, "step": 2904 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.8712, "step": 2905 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.9741, "step": 2906 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.848, "step": 2907 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 1.0743, "step": 2908 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.7402, "step": 2909 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 1.0783, "step": 2910 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.6889, "step": 2911 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 1.1905, "step": 2912 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.9406, "step": 2913 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.6638, "step": 2914 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.8231, "step": 2915 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.9541, "step": 2916 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.9196, "step": 2917 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 1.0113, "step": 2918 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.8786, "step": 2919 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 1.1192, "step": 2920 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 1.0247, "step": 2921 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.9074, "step": 2922 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 1.1077, "step": 2923 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.7397, "step": 2924 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.7316, "step": 2925 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.6897, "step": 2926 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.9445, "step": 2927 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.8051, "step": 2928 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.9639, "step": 2929 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.8132, "step": 2930 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.8965, "step": 2931 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.5445, "step": 2932 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.8235, "step": 2933 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.782, "step": 2934 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 1.0423, "step": 2935 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 1.0356, "step": 2936 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 1.111, "step": 2937 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.5502, "step": 2938 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 1.0514, "step": 2939 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.7822, "step": 2940 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.9305, "step": 2941 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 1.0227, "step": 2942 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.9183, "step": 2943 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.8249, "step": 2944 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 1.1024, "step": 2945 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.8785, "step": 2946 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.9436, "step": 2947 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.8632, "step": 2948 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.9098, "step": 2949 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.9715, "step": 2950 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.8708, "step": 2951 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.8842, "step": 2952 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 1.0015, "step": 2953 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.9981, "step": 2954 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 1.047, "step": 2955 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 1.3427, "step": 2956 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.8611, "step": 2957 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.7762, "step": 2958 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 1.0822, "step": 2959 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.8515, "step": 2960 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 1.1491, "step": 2961 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.9318, "step": 2962 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.9671, "step": 2963 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.7693, "step": 2964 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.5091, "step": 2965 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.961, "step": 2966 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 1.0775, "step": 2967 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.8314, "step": 2968 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.8154, "step": 2969 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.9778, "step": 2970 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 1.1191, "step": 2971 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.9995, "step": 2972 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 1.0863, "step": 2973 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.528, "step": 2974 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.8926, "step": 2975 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 1.0254, "step": 2976 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.7703, "step": 2977 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.965, "step": 2978 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.811, "step": 2979 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 1.2281, "step": 2980 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 1.1464, "step": 2981 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.5901, "step": 2982 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.9871, "step": 2983 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 1.0059, "step": 2984 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.9325, "step": 2985 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.7047, "step": 2986 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.7576, "step": 2987 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.7384, "step": 2988 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 1.1542, "step": 2989 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.8708, "step": 2990 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.3721, "step": 2991 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 1.2441, "step": 2992 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 1.1071, "step": 2993 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.9692, "step": 2994 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.9451, "step": 2995 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.905, "step": 2996 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.9643, "step": 2997 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.8635, "step": 2998 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 1.0198, "step": 2999 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.8519, "step": 3000 }, { "epoch": 0.52, "eval_loss": 0.8910711407661438, "eval_runtime": 110.2934, "eval_samples_per_second": 9.067, "eval_steps_per_second": 4.533, "step": 3000 }, { "epoch": 0.52, "mmlu_eval_accuracy": 0.534887545813611, "mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182, "mmlu_eval_accuracy_anatomy": 0.5714285714285714, "mmlu_eval_accuracy_astronomy": 0.5625, "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, "mmlu_eval_accuracy_clinical_knowledge": 0.4827586206896552, "mmlu_eval_accuracy_college_biology": 0.5, "mmlu_eval_accuracy_college_chemistry": 0.125, "mmlu_eval_accuracy_college_computer_science": 0.18181818181818182, "mmlu_eval_accuracy_college_mathematics": 0.5454545454545454, "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": 0.34615384615384615, "mmlu_eval_accuracy_econometrics": 0.08333333333333333, "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": 0.4, "mmlu_eval_accuracy_high_school_biology": 0.375, "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182, "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, "mmlu_eval_accuracy_high_school_european_history": 0.6666666666666666, "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, "mmlu_eval_accuracy_high_school_macroeconomics": 0.5581395348837209, "mmlu_eval_accuracy_high_school_mathematics": 0.3103448275862069, "mmlu_eval_accuracy_high_school_microeconomics": 0.5384615384615384, "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, "mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334, "mmlu_eval_accuracy_high_school_statistics": 0.4782608695652174, "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, "mmlu_eval_accuracy_human_aging": 0.8260869565217391, "mmlu_eval_accuracy_human_sexuality": 0.5, "mmlu_eval_accuracy_international_law": 0.7692307692307693, "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, "mmlu_eval_accuracy_machine_learning": 0.2727272727272727, "mmlu_eval_accuracy_management": 0.7272727272727273, "mmlu_eval_accuracy_marketing": 0.84, "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": 0.31, "mmlu_eval_accuracy_nutrition": 0.6060606060606061, "mmlu_eval_accuracy_philosophy": 0.6764705882352942, "mmlu_eval_accuracy_prehistory": 0.5428571428571428, "mmlu_eval_accuracy_professional_accounting": 0.5161290322580645, "mmlu_eval_accuracy_professional_law": 0.32941176470588235, "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": 0.8181818181818182, "mmlu_eval_accuracy_virology": 0.5555555555555556, "mmlu_eval_accuracy_world_religions": 0.6842105263157895, "mmlu_loss": 0.9234903470537681, "step": 3000 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 1.0434, "step": 3001 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 1.0591, "step": 3002 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 1.0462, "step": 3003 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 1.1194, "step": 3004 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 1.0164, "step": 3005 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.9256, "step": 3006 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.9577, "step": 3007 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 1.0007, "step": 3008 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.9943, "step": 3009 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.9972, "step": 3010 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.7455, "step": 3011 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 1.0115, "step": 3012 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.784, "step": 3013 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.858, "step": 3014 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.8482, "step": 3015 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.8694, "step": 3016 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.9753, "step": 3017 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.8516, "step": 3018 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.8931, "step": 3019 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.9784, "step": 3020 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.9898, "step": 3021 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.8917, "step": 3022 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 1.0092, "step": 3023 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.9636, "step": 3024 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.8563, "step": 3025 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 1.0084, "step": 3026 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.984, "step": 3027 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.9656, "step": 3028 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 1.0037, "step": 3029 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.8528, "step": 3030 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.8891, "step": 3031 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.6844, "step": 3032 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.6903, "step": 3033 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.9145, "step": 3034 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.9762, "step": 3035 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.9191, "step": 3036 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 1.0653, "step": 3037 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 1.1035, "step": 3038 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.6949, "step": 3039 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.9343, "step": 3040 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 1.0376, "step": 3041 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.963, "step": 3042 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.8574, "step": 3043 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.7334, "step": 3044 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 1.0895, "step": 3045 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.7471, "step": 3046 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.8143, "step": 3047 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.8381, "step": 3048 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 1.0312, "step": 3049 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.7938, "step": 3050 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.7065, "step": 3051 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.9902, "step": 3052 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.8662, "step": 3053 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.9823, "step": 3054 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.9736, "step": 3055 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.9783, "step": 3056 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.8775, "step": 3057 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.9779, "step": 3058 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.7927, "step": 3059 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.9112, "step": 3060 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.9251, "step": 3061 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.9185, "step": 3062 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.582, "step": 3063 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 1.1415, "step": 3064 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 1.0946, "step": 3065 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.6714, "step": 3066 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.94, "step": 3067 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.9462, "step": 3068 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 1.194, "step": 3069 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 1.0842, "step": 3070 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.9162, "step": 3071 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.6009, "step": 3072 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.8185, "step": 3073 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.7652, "step": 3074 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.8204, "step": 3075 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.8556, "step": 3076 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.8298, "step": 3077 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.9718, "step": 3078 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.7809, "step": 3079 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 1.037, "step": 3080 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.9865, "step": 3081 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 1.1105, "step": 3082 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.7548, "step": 3083 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.7245, "step": 3084 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.8046, "step": 3085 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.7937, "step": 3086 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.7155, "step": 3087 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.8861, "step": 3088 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.9367, "step": 3089 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.8784, "step": 3090 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.9103, "step": 3091 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 1.0121, "step": 3092 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 1.0351, "step": 3093 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.8136, "step": 3094 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.6945, "step": 3095 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.983, "step": 3096 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.9388, "step": 3097 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.8019, "step": 3098 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.9843, "step": 3099 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.9499, "step": 3100 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 1.0547, "step": 3101 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.821, "step": 3102 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.9644, "step": 3103 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 1.0351, "step": 3104 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.9054, "step": 3105 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.9054, "step": 3106 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.6731, "step": 3107 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.9218, "step": 3108 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.6618, "step": 3109 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.9911, "step": 3110 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.8753, "step": 3111 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.9767, "step": 3112 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.841, "step": 3113 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.7619, "step": 3114 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 1.0664, "step": 3115 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.9401, "step": 3116 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.6897, "step": 3117 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 1.023, "step": 3118 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.8392, "step": 3119 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.7188, "step": 3120 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.9814, "step": 3121 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.6406, "step": 3122 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.9909, "step": 3123 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.7229, "step": 3124 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 1.0374, "step": 3125 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.8905, "step": 3126 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.887, "step": 3127 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 1.1822, "step": 3128 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.8562, "step": 3129 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.9164, "step": 3130 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.8395, "step": 3131 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 1.0048, "step": 3132 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 1.0429, "step": 3133 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.7378, "step": 3134 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.9845, "step": 3135 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.9989, "step": 3136 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 1.0789, "step": 3137 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.8813, "step": 3138 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.7981, "step": 3139 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.9771, "step": 3140 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.8664, "step": 3141 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.6699, "step": 3142 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.945, "step": 3143 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 1.0025, "step": 3144 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.8703, "step": 3145 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.934, "step": 3146 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.6907, "step": 3147 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.6569, "step": 3148 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.7361, "step": 3149 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.8319, "step": 3150 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.8235, "step": 3151 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 1.0738, "step": 3152 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 1.0377, "step": 3153 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.8183, "step": 3154 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.8224, "step": 3155 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 1.0339, "step": 3156 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.8342, "step": 3157 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.7988, "step": 3158 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.6638, "step": 3159 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.7402, "step": 3160 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.6576, "step": 3161 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.7729, "step": 3162 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.667, "step": 3163 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.8037, "step": 3164 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.746, "step": 3165 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.8074, "step": 3166 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 1.0012, "step": 3167 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.8867, "step": 3168 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 1.0926, "step": 3169 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.753, "step": 3170 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.9425, "step": 3171 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.9445, "step": 3172 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.9999, "step": 3173 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 1.0657, "step": 3174 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 1.1917, "step": 3175 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.8821, "step": 3176 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 1.228, "step": 3177 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.9467, "step": 3178 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.9003, "step": 3179 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.8268, "step": 3180 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.9247, "step": 3181 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.9185, "step": 3182 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.6284, "step": 3183 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.6694, "step": 3184 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.9075, "step": 3185 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.9803, "step": 3186 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.7017, "step": 3187 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.6784, "step": 3188 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.7347, "step": 3189 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.9233, "step": 3190 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 1.0447, "step": 3191 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 1.022, "step": 3192 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.7582, "step": 3193 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.8466, "step": 3194 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.8377, "step": 3195 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.8777, "step": 3196 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.8737, "step": 3197 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.8844, "step": 3198 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.7661, "step": 3199 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.8906, "step": 3200 }, { "epoch": 0.55, "eval_loss": 0.8905744552612305, "eval_runtime": 110.3715, "eval_samples_per_second": 9.06, "eval_steps_per_second": 4.53, "step": 3200 }, { "epoch": 0.55, "mmlu_eval_accuracy": 0.5521878069862972, "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, "mmlu_eval_accuracy_anatomy": 0.5, "mmlu_eval_accuracy_astronomy": 0.625, "mmlu_eval_accuracy_business_ethics": 0.7272727272727273, "mmlu_eval_accuracy_clinical_knowledge": 0.5172413793103449, "mmlu_eval_accuracy_college_biology": 0.5, "mmlu_eval_accuracy_college_chemistry": 0.375, "mmlu_eval_accuracy_college_computer_science": 0.09090909090909091, "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453, "mmlu_eval_accuracy_college_medicine": 0.45454545454545453, "mmlu_eval_accuracy_college_physics": 0.36363636363636365, "mmlu_eval_accuracy_computer_security": 0.45454545454545453, "mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231, "mmlu_eval_accuracy_econometrics": 0.25, "mmlu_eval_accuracy_electrical_engineering": 0.5, "mmlu_eval_accuracy_elementary_mathematics": 0.43902439024390244, "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": 0.3181818181818182, "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, "mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, "mmlu_eval_accuracy_high_school_macroeconomics": 0.5813953488372093, "mmlu_eval_accuracy_high_school_mathematics": 0.3448275862068966, "mmlu_eval_accuracy_high_school_microeconomics": 0.5384615384615384, "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": 0.7272727272727273, "mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539, "mmlu_eval_accuracy_human_aging": 0.8260869565217391, "mmlu_eval_accuracy_human_sexuality": 0.6666666666666666, "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": 0.2727272727272727, "mmlu_eval_accuracy_management": 0.7272727272727273, "mmlu_eval_accuracy_marketing": 0.84, "mmlu_eval_accuracy_medical_genetics": 1.0, "mmlu_eval_accuracy_miscellaneous": 0.7558139534883721, "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, "mmlu_eval_accuracy_moral_scenarios": 0.29, "mmlu_eval_accuracy_nutrition": 0.6060606060606061, "mmlu_eval_accuracy_philosophy": 0.6176470588235294, "mmlu_eval_accuracy_prehistory": 0.5428571428571428, "mmlu_eval_accuracy_professional_accounting": 0.45161290322580644, "mmlu_eval_accuracy_professional_law": 0.32941176470588235, "mmlu_eval_accuracy_professional_medicine": 0.6451612903225806, "mmlu_eval_accuracy_professional_psychology": 0.6086956521739131, "mmlu_eval_accuracy_public_relations": 0.5833333333333334, "mmlu_eval_accuracy_security_studies": 0.5555555555555556, "mmlu_eval_accuracy_sociology": 0.7727272727272727, "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, "mmlu_eval_accuracy_virology": 0.5, "mmlu_eval_accuracy_world_religions": 0.631578947368421, "mmlu_loss": 1.1304238035341156, "step": 3200 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.8928, "step": 3201 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 1.1659, "step": 3202 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.9827, "step": 3203 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.7172, "step": 3204 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.7403, "step": 3205 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.7366, "step": 3206 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.9601, "step": 3207 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 1.133, "step": 3208 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.9269, "step": 3209 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.9371, "step": 3210 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.976, "step": 3211 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.8404, "step": 3212 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.8516, "step": 3213 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.8106, "step": 3214 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.9231, "step": 3215 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 1.0162, "step": 3216 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.8916, "step": 3217 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.8758, "step": 3218 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 1.0559, "step": 3219 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.7271, "step": 3220 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.7921, "step": 3221 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.9556, "step": 3222 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.7549, "step": 3223 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.8982, "step": 3224 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.9998, "step": 3225 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.7645, "step": 3226 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.8584, "step": 3227 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 1.0137, "step": 3228 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 1.1198, "step": 3229 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.9144, "step": 3230 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 1.0117, "step": 3231 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.8493, "step": 3232 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.8701, "step": 3233 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.8654, "step": 3234 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.8632, "step": 3235 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 1.167, "step": 3236 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 1.0, "step": 3237 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.7867, "step": 3238 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 1.0875, "step": 3239 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.9715, "step": 3240 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.752, "step": 3241 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 1.0441, "step": 3242 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.9076, "step": 3243 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.899, "step": 3244 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 1.0853, "step": 3245 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.8727, "step": 3246 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.646, "step": 3247 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.9631, "step": 3248 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.9534, "step": 3249 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.8144, "step": 3250 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 1.1096, "step": 3251 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.9102, "step": 3252 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.9115, "step": 3253 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 1.0888, "step": 3254 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 1.0286, "step": 3255 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.8666, "step": 3256 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 1.1106, "step": 3257 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 1.0828, "step": 3258 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 1.087, "step": 3259 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.6339, "step": 3260 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.9233, "step": 3261 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.8705, "step": 3262 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.862, "step": 3263 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.8996, "step": 3264 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.699, "step": 3265 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.9676, "step": 3266 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.9856, "step": 3267 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.9477, "step": 3268 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.8623, "step": 3269 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 1.2184, "step": 3270 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.3267, "step": 3271 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.653, "step": 3272 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.9586, "step": 3273 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 1.0727, "step": 3274 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.974, "step": 3275 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.8456, "step": 3276 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.9008, "step": 3277 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 1.0202, "step": 3278 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 1.014, "step": 3279 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 1.0619, "step": 3280 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.9001, "step": 3281 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 1.0163, "step": 3282 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.7624, "step": 3283 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.9774, "step": 3284 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.9871, "step": 3285 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 1.064, "step": 3286 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.8941, "step": 3287 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.8498, "step": 3288 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.6669, "step": 3289 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 1.0017, "step": 3290 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.8763, "step": 3291 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 1.3106, "step": 3292 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 1.1984, "step": 3293 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.9919, "step": 3294 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 1.0504, "step": 3295 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.9271, "step": 3296 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 1.1664, "step": 3297 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.5506, "step": 3298 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.9658, "step": 3299 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 1.0387, "step": 3300 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.8891, "step": 3301 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 1.2301, "step": 3302 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.9414, "step": 3303 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.7133, "step": 3304 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 1.0598, "step": 3305 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.8448, "step": 3306 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.8803, "step": 3307 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.8137, "step": 3308 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.9719, "step": 3309 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.6062, "step": 3310 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.9418, "step": 3311 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 1.2333, "step": 3312 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.8048, "step": 3313 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.894, "step": 3314 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 1.0712, "step": 3315 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.6514, "step": 3316 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 1.028, "step": 3317 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 1.0355, "step": 3318 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.8317, "step": 3319 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.8623, "step": 3320 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 1.0608, "step": 3321 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 1.0029, "step": 3322 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.8994, "step": 3323 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 1.2047, "step": 3324 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.7031, "step": 3325 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 1.0491, "step": 3326 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.9356, "step": 3327 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 1.0334, "step": 3328 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.9871, "step": 3329 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.6729, "step": 3330 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.7183, "step": 3331 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 1.0195, "step": 3332 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 1.0734, "step": 3333 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 1.0667, "step": 3334 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.6986, "step": 3335 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.7507, "step": 3336 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.7956, "step": 3337 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.8992, "step": 3338 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.7901, "step": 3339 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 1.1317, "step": 3340 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 1.1036, "step": 3341 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.9032, "step": 3342 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.7969, "step": 3343 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.8733, "step": 3344 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.9498, "step": 3345 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.9681, "step": 3346 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 1.0142, "step": 3347 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.9168, "step": 3348 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.5613, "step": 3349 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 1.0169, "step": 3350 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.8049, "step": 3351 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 1.5269, "step": 3352 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.8896, "step": 3353 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.8424, "step": 3354 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.742, "step": 3355 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 1.1546, "step": 3356 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.817, "step": 3357 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.7893, "step": 3358 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.8402, "step": 3359 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.8641, "step": 3360 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.8379, "step": 3361 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.8741, "step": 3362 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 1.1856, "step": 3363 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.943, "step": 3364 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.7877, "step": 3365 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.996, "step": 3366 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.6974, "step": 3367 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.7877, "step": 3368 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.7, "step": 3369 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.8389, "step": 3370 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.7821, "step": 3371 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 1.0142, "step": 3372 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.9302, "step": 3373 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.6999, "step": 3374 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 1.127, "step": 3375 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 1.0026, "step": 3376 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.5974, "step": 3377 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 1.0024, "step": 3378 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.9634, "step": 3379 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 1.0532, "step": 3380 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.9379, "step": 3381 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.6755, "step": 3382 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 1.0044, "step": 3383 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.8331, "step": 3384 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 1.1312, "step": 3385 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 1.0641, "step": 3386 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.8722, "step": 3387 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.8175, "step": 3388 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.6749, "step": 3389 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.9605, "step": 3390 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.9788, "step": 3391 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.6547, "step": 3392 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 1.0562, "step": 3393 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.9414, "step": 3394 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.739, "step": 3395 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.7607, "step": 3396 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.8151, "step": 3397 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.9509, "step": 3398 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.6428, "step": 3399 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.9167, "step": 3400 }, { "epoch": 0.59, "eval_loss": 0.8932087421417236, "eval_runtime": 110.3523, "eval_samples_per_second": 9.062, "eval_steps_per_second": 4.531, "step": 3400 }, { "epoch": 0.59, "mmlu_eval_accuracy": 0.5151547908018922, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.5, "mmlu_eval_accuracy_astronomy": 0.5, "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, "mmlu_eval_accuracy_college_biology": 0.5, "mmlu_eval_accuracy_college_chemistry": 0.25, "mmlu_eval_accuracy_college_computer_science": 0.09090909090909091, "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453, "mmlu_eval_accuracy_college_medicine": 0.36363636363636365, "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": 0.25, "mmlu_eval_accuracy_electrical_engineering": 0.3125, "mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244, "mmlu_eval_accuracy_formal_logic": 0.35714285714285715, "mmlu_eval_accuracy_global_facts": 0.3, "mmlu_eval_accuracy_high_school_biology": 0.625, "mmlu_eval_accuracy_high_school_chemistry": 0.2727272727272727, "mmlu_eval_accuracy_high_school_computer_science": 0.7777777777777778, "mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, "mmlu_eval_accuracy_high_school_geography": 0.7272727272727273, "mmlu_eval_accuracy_high_school_government_and_politics": 0.5714285714285714, "mmlu_eval_accuracy_high_school_macroeconomics": 0.5348837209302325, "mmlu_eval_accuracy_high_school_mathematics": 0.13793103448275862, "mmlu_eval_accuracy_high_school_microeconomics": 0.6153846153846154, "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, "mmlu_eval_accuracy_high_school_psychology": 0.7666666666666667, "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, "mmlu_eval_accuracy_high_school_world_history": 0.5384615384615384, "mmlu_eval_accuracy_human_aging": 0.782608695652174, "mmlu_eval_accuracy_human_sexuality": 0.3333333333333333, "mmlu_eval_accuracy_international_law": 0.8461538461538461, "mmlu_eval_accuracy_jurisprudence": 0.36363636363636365, "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, "mmlu_eval_accuracy_machine_learning": 0.36363636363636365, "mmlu_eval_accuracy_management": 0.5454545454545454, "mmlu_eval_accuracy_marketing": 0.84, "mmlu_eval_accuracy_medical_genetics": 0.8181818181818182, "mmlu_eval_accuracy_miscellaneous": 0.6976744186046512, "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, "mmlu_eval_accuracy_moral_scenarios": 0.26, "mmlu_eval_accuracy_nutrition": 0.5454545454545454, "mmlu_eval_accuracy_philosophy": 0.6176470588235294, "mmlu_eval_accuracy_prehistory": 0.6571428571428571, "mmlu_eval_accuracy_professional_accounting": 0.5161290322580645, "mmlu_eval_accuracy_professional_law": 0.3411764705882353, "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": 0.7272727272727273, "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, "mmlu_eval_accuracy_virology": 0.6111111111111112, "mmlu_eval_accuracy_world_religions": 0.631578947368421, "mmlu_loss": 0.9649002948683485, "step": 3400 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.8986, "step": 3401 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.9249, "step": 3402 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 1.0297, "step": 3403 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 1.0376, "step": 3404 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.8242, "step": 3405 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 1.1997, "step": 3406 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 1.0835, "step": 3407 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.9306, "step": 3408 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.847, "step": 3409 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 1.0013, "step": 3410 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 1.0462, "step": 3411 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.9077, "step": 3412 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.9211, "step": 3413 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.9917, "step": 3414 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 1.0773, "step": 3415 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.9138, "step": 3416 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.8867, "step": 3417 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 1.1623, "step": 3418 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 1.0091, "step": 3419 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.6693, "step": 3420 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.7069, "step": 3421 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 1.1597, "step": 3422 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.9341, "step": 3423 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.6511, "step": 3424 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 1.0639, "step": 3425 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.9259, "step": 3426 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.7362, "step": 3427 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 1.1505, "step": 3428 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.916, "step": 3429 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 1.0029, "step": 3430 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 1.072, "step": 3431 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 1.0719, "step": 3432 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.8466, "step": 3433 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.8761, "step": 3434 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.9802, "step": 3435 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 1.054, "step": 3436 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.6825, "step": 3437 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 1.0867, "step": 3438 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.9632, "step": 3439 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.9765, "step": 3440 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.9374, "step": 3441 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.6846, "step": 3442 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.8108, "step": 3443 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.7524, "step": 3444 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.8341, "step": 3445 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.9981, "step": 3446 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.9261, "step": 3447 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.6514, "step": 3448 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.8125, "step": 3449 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.9265, "step": 3450 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.8311, "step": 3451 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.9675, "step": 3452 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.8482, "step": 3453 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 1.0081, "step": 3454 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 1.168, "step": 3455 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 1.0123, "step": 3456 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.9655, "step": 3457 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 1.1018, "step": 3458 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.9137, "step": 3459 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.6619, "step": 3460 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.7211, "step": 3461 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 1.0713, "step": 3462 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.8245, "step": 3463 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 1.5159, "step": 3464 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.9412, "step": 3465 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.7774, "step": 3466 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 1.046, "step": 3467 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 1.0472, "step": 3468 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.759, "step": 3469 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.6413, "step": 3470 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.8504, "step": 3471 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.9099, "step": 3472 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.976, "step": 3473 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.8404, "step": 3474 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 1.1776, "step": 3475 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.892, "step": 3476 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.9226, "step": 3477 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.8546, "step": 3478 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 1.0963, "step": 3479 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.7395, "step": 3480 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 1.1559, "step": 3481 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.924, "step": 3482 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.6152, "step": 3483 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 1.1436, "step": 3484 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.9, "step": 3485 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 1.0099, "step": 3486 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.7505, "step": 3487 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.9493, "step": 3488 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.6337, "step": 3489 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.9033, "step": 3490 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.6162, "step": 3491 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.6499, "step": 3492 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.7668, "step": 3493 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 1.1191, "step": 3494 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.8834, "step": 3495 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.9362, "step": 3496 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 1.0809, "step": 3497 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.8329, "step": 3498 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.8425, "step": 3499 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.8402, "step": 3500 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.9387, "step": 3501 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.8598, "step": 3502 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.659, "step": 3503 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 1.025, "step": 3504 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.774, "step": 3505 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 1.013, "step": 3506 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 1.0779, "step": 3507 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.5849, "step": 3508 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.9453, "step": 3509 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.7146, "step": 3510 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 1.0776, "step": 3511 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.6919, "step": 3512 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.974, "step": 3513 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 1.0047, "step": 3514 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.653, "step": 3515 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 1.1397, "step": 3516 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.9854, "step": 3517 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.9428, "step": 3518 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.8965, "step": 3519 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.9574, "step": 3520 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.9745, "step": 3521 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.787, "step": 3522 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.984, "step": 3523 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.7157, "step": 3524 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.9012, "step": 3525 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.7829, "step": 3526 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.8042, "step": 3527 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.8999, "step": 3528 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.9635, "step": 3529 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.9893, "step": 3530 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.7619, "step": 3531 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.8808, "step": 3532 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 1.1255, "step": 3533 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.7304, "step": 3534 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 1.1483, "step": 3535 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 1.1133, "step": 3536 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.9044, "step": 3537 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.7503, "step": 3538 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 1.0287, "step": 3539 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 1.1384, "step": 3540 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 1.0913, "step": 3541 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.9525, "step": 3542 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 1.0302, "step": 3543 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.7136, "step": 3544 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.7769, "step": 3545 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.8393, "step": 3546 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.9852, "step": 3547 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.8306, "step": 3548 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 1.2193, "step": 3549 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.8225, "step": 3550 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 1.1542, "step": 3551 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.5562, "step": 3552 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 1.0208, "step": 3553 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 1.0836, "step": 3554 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 1.0134, "step": 3555 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.8326, "step": 3556 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.9972, "step": 3557 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.8757, "step": 3558 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.7026, "step": 3559 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 1.0314, "step": 3560 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.9618, "step": 3561 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 1.0282, "step": 3562 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.8775, "step": 3563 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.8915, "step": 3564 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 1.0786, "step": 3565 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 1.2789, "step": 3566 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.84, "step": 3567 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.8278, "step": 3568 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.7418, "step": 3569 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 1.3728, "step": 3570 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 1.0399, "step": 3571 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 1.292, "step": 3572 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.861, "step": 3573 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.9392, "step": 3574 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.9547, "step": 3575 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 1.0221, "step": 3576 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.8385, "step": 3577 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.8134, "step": 3578 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.8498, "step": 3579 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.9789, "step": 3580 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.8275, "step": 3581 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.8282, "step": 3582 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.928, "step": 3583 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.7185, "step": 3584 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.8344, "step": 3585 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.9795, "step": 3586 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.945, "step": 3587 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.9394, "step": 3588 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.8788, "step": 3589 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 1.0708, "step": 3590 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.8509, "step": 3591 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.7936, "step": 3592 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.968, "step": 3593 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 1.0855, "step": 3594 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.7692, "step": 3595 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 1.0525, "step": 3596 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.9345, "step": 3597 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 1.2032, "step": 3598 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.924, "step": 3599 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 1.1087, "step": 3600 }, { "epoch": 0.62, "eval_loss": 0.8965550661087036, "eval_runtime": 110.2936, "eval_samples_per_second": 9.067, "eval_steps_per_second": 4.533, "step": 3600 }, { "epoch": 0.62, "mmlu_eval_accuracy": 0.5024268778209781, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.42857142857142855, "mmlu_eval_accuracy_astronomy": 0.5, "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, "mmlu_eval_accuracy_college_biology": 0.5, "mmlu_eval_accuracy_college_chemistry": 0.125, "mmlu_eval_accuracy_college_computer_science": 0.18181818181818182, "mmlu_eval_accuracy_college_mathematics": 0.36363636363636365, "mmlu_eval_accuracy_college_medicine": 0.45454545454545453, "mmlu_eval_accuracy_college_physics": 0.45454545454545453, "mmlu_eval_accuracy_computer_security": 0.36363636363636365, "mmlu_eval_accuracy_conceptual_physics": 0.34615384615384615, "mmlu_eval_accuracy_econometrics": 0.3333333333333333, "mmlu_eval_accuracy_electrical_engineering": 0.5, "mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244, "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, "mmlu_eval_accuracy_global_facts": 0.4, "mmlu_eval_accuracy_high_school_biology": 0.4375, "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.6666666666666666, "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, "mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191, "mmlu_eval_accuracy_high_school_macroeconomics": 0.5116279069767442, "mmlu_eval_accuracy_high_school_mathematics": 0.27586206896551724, "mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156, "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, "mmlu_eval_accuracy_high_school_psychology": 0.8166666666666667, "mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654, "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, "mmlu_eval_accuracy_high_school_world_history": 0.5769230769230769, "mmlu_eval_accuracy_human_aging": 0.8260869565217391, "mmlu_eval_accuracy_human_sexuality": 0.25, "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": 0.36363636363636365, "mmlu_eval_accuracy_management": 0.5454545454545454, "mmlu_eval_accuracy_marketing": 0.88, "mmlu_eval_accuracy_medical_genetics": 1.0, "mmlu_eval_accuracy_miscellaneous": 0.6744186046511628, "mmlu_eval_accuracy_moral_disputes": 0.5, "mmlu_eval_accuracy_moral_scenarios": 0.34, "mmlu_eval_accuracy_nutrition": 0.5151515151515151, "mmlu_eval_accuracy_philosophy": 0.5882352941176471, "mmlu_eval_accuracy_prehistory": 0.5142857142857142, "mmlu_eval_accuracy_professional_accounting": 0.3870967741935484, "mmlu_eval_accuracy_professional_law": 0.3176470588235294, "mmlu_eval_accuracy_professional_medicine": 0.45161290322580644, "mmlu_eval_accuracy_professional_psychology": 0.6086956521739131, "mmlu_eval_accuracy_public_relations": 0.5, "mmlu_eval_accuracy_security_studies": 0.5555555555555556, "mmlu_eval_accuracy_sociology": 0.6818181818181818, "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, "mmlu_eval_accuracy_virology": 0.5, "mmlu_eval_accuracy_world_religions": 0.6842105263157895, "mmlu_loss": 0.8098373221471789, "step": 3600 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.8533, "step": 3601 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.8899, "step": 3602 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.7332, "step": 3603 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.8897, "step": 3604 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 1.0052, "step": 3605 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.8942, "step": 3606 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 1.0369, "step": 3607 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.8245, "step": 3608 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.9912, "step": 3609 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.7782, "step": 3610 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 1.0012, "step": 3611 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 1.0954, "step": 3612 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 1.0156, "step": 3613 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.7891, "step": 3614 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 1.057, "step": 3615 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.8579, "step": 3616 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.9522, "step": 3617 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.8747, "step": 3618 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.8111, "step": 3619 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 1.1886, "step": 3620 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.9744, "step": 3621 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.8078, "step": 3622 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.6088, "step": 3623 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.9054, "step": 3624 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.8524, "step": 3625 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.9794, "step": 3626 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.826, "step": 3627 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.9319, "step": 3628 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 1.2184, "step": 3629 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 1.0006, "step": 3630 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.9935, "step": 3631 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.9352, "step": 3632 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 1.0831, "step": 3633 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.713, "step": 3634 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 1.0685, "step": 3635 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.9337, "step": 3636 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.9047, "step": 3637 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.7307, "step": 3638 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.9622, "step": 3639 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.9894, "step": 3640 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 1.131, "step": 3641 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.9545, "step": 3642 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.7493, "step": 3643 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.8852, "step": 3644 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.9425, "step": 3645 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.7585, "step": 3646 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 1.0, "step": 3647 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.9031, "step": 3648 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.95, "step": 3649 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.8227, "step": 3650 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.9223, "step": 3651 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.7384, "step": 3652 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.8691, "step": 3653 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 1.0284, "step": 3654 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.7565, "step": 3655 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.779, "step": 3656 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 1.0562, "step": 3657 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.8889, "step": 3658 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 1.1552, "step": 3659 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 1.0168, "step": 3660 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.8149, "step": 3661 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.9081, "step": 3662 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.6462, "step": 3663 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.9871, "step": 3664 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.8228, "step": 3665 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 1.0347, "step": 3666 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 1.1995, "step": 3667 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.7644, "step": 3668 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 1.1317, "step": 3669 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.9335, "step": 3670 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.8469, "step": 3671 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.9137, "step": 3672 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.5948, "step": 3673 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.6216, "step": 3674 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.7707, "step": 3675 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.8455, "step": 3676 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 1.2015, "step": 3677 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.9465, "step": 3678 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.941, "step": 3679 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.7571, "step": 3680 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.7713, "step": 3681 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.9915, "step": 3682 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 1.1097, "step": 3683 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.9078, "step": 3684 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.5829, "step": 3685 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.7834, "step": 3686 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.9649, "step": 3687 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 1.1676, "step": 3688 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.91, "step": 3689 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.8586, "step": 3690 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 1.1538, "step": 3691 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 1.0148, "step": 3692 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.8785, "step": 3693 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.9414, "step": 3694 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 1.0173, "step": 3695 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.8075, "step": 3696 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.9371, "step": 3697 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.6976, "step": 3698 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.6993, "step": 3699 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.8451, "step": 3700 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.9089, "step": 3701 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 1.2921, "step": 3702 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.8158, "step": 3703 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 1.0709, "step": 3704 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 1.0647, "step": 3705 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 1.2251, "step": 3706 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.8724, "step": 3707 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 1.1488, "step": 3708 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.8047, "step": 3709 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.8252, "step": 3710 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 1.2467, "step": 3711 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.8908, "step": 3712 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 1.0713, "step": 3713 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 1.2019, "step": 3714 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.8659, "step": 3715 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.9351, "step": 3716 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.7613, "step": 3717 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.8318, "step": 3718 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.9878, "step": 3719 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.7657, "step": 3720 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 0.824, "step": 3721 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.9146, "step": 3722 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.6915, "step": 3723 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.9148, "step": 3724 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 1.1104, "step": 3725 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.8736, "step": 3726 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.8421, "step": 3727 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.7557, "step": 3728 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.8759, "step": 3729 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.8704, "step": 3730 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.9843, "step": 3731 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.6871, "step": 3732 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.8483, "step": 3733 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.8887, "step": 3734 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.9102, "step": 3735 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 1.0491, "step": 3736 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.9205, "step": 3737 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 1.0168, "step": 3738 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.9417, "step": 3739 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.8346, "step": 3740 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.8074, "step": 3741 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 1.1618, "step": 3742 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.8413, "step": 3743 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.9243, "step": 3744 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.9789, "step": 3745 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 1.0433, "step": 3746 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.7359, "step": 3747 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.8869, "step": 3748 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.7476, "step": 3749 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.7621, "step": 3750 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 1.0737, "step": 3751 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 1.1721, "step": 3752 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.4393, "step": 3753 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.9423, "step": 3754 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.8929, "step": 3755 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.909, "step": 3756 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.6923, "step": 3757 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 1.0133, "step": 3758 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 1.1035, "step": 3759 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.7616, "step": 3760 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.829, "step": 3761 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.7805, "step": 3762 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.822, "step": 3763 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.7563, "step": 3764 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 1.0155, "step": 3765 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 1.0485, "step": 3766 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 1.0403, "step": 3767 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.7223, "step": 3768 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.8523, "step": 3769 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 1.0138, "step": 3770 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.6941, "step": 3771 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.8275, "step": 3772 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.7374, "step": 3773 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.8725, "step": 3774 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 1.1071, "step": 3775 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.7772, "step": 3776 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.9007, "step": 3777 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 1.0413, "step": 3778 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 1.0466, "step": 3779 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.8871, "step": 3780 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.9287, "step": 3781 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 1.0396, "step": 3782 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.6887, "step": 3783 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.8441, "step": 3784 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.9345, "step": 3785 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.9585, "step": 3786 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 1.0217, "step": 3787 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.8941, "step": 3788 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.8054, "step": 3789 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.916, "step": 3790 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.9675, "step": 3791 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.9719, "step": 3792 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 1.0791, "step": 3793 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.91, "step": 3794 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.8096, "step": 3795 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.9614, "step": 3796 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 1.0988, "step": 3797 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.7066, "step": 3798 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.9526, "step": 3799 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.7937, "step": 3800 }, { "epoch": 0.66, "eval_loss": 0.893892228603363, "eval_runtime": 110.2932, "eval_samples_per_second": 9.067, "eval_steps_per_second": 4.533, "step": 3800 }, { "epoch": 0.66, "mmlu_eval_accuracy": 0.47211258078137064, "mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182, "mmlu_eval_accuracy_anatomy": 0.42857142857142855, "mmlu_eval_accuracy_astronomy": 0.5, "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, "mmlu_eval_accuracy_clinical_knowledge": 0.4827586206896552, "mmlu_eval_accuracy_college_biology": 0.375, "mmlu_eval_accuracy_college_chemistry": 0.125, "mmlu_eval_accuracy_college_computer_science": 0.09090909090909091, "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453, "mmlu_eval_accuracy_college_medicine": 0.4090909090909091, "mmlu_eval_accuracy_college_physics": 0.45454545454545453, "mmlu_eval_accuracy_computer_security": 0.36363636363636365, "mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464, "mmlu_eval_accuracy_econometrics": 0.3333333333333333, "mmlu_eval_accuracy_electrical_engineering": 0.3125, "mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244, "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, "mmlu_eval_accuracy_global_facts": 0.3, "mmlu_eval_accuracy_high_school_biology": 0.3125, "mmlu_eval_accuracy_high_school_chemistry": 0.2727272727272727, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, "mmlu_eval_accuracy_high_school_government_and_politics": 0.5238095238095238, "mmlu_eval_accuracy_high_school_macroeconomics": 0.4418604651162791, "mmlu_eval_accuracy_high_school_mathematics": 0.13793103448275862, "mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156, "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, "mmlu_eval_accuracy_high_school_psychology": 0.7666666666666667, "mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654, "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, "mmlu_eval_accuracy_high_school_world_history": 0.5384615384615384, "mmlu_eval_accuracy_human_aging": 0.7391304347826086, "mmlu_eval_accuracy_human_sexuality": 0.25, "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": 0.2727272727272727, "mmlu_eval_accuracy_management": 0.45454545454545453, "mmlu_eval_accuracy_marketing": 0.84, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.6395348837209303, "mmlu_eval_accuracy_moral_disputes": 0.5, "mmlu_eval_accuracy_moral_scenarios": 0.35, "mmlu_eval_accuracy_nutrition": 0.5151515151515151, "mmlu_eval_accuracy_philosophy": 0.5294117647058824, "mmlu_eval_accuracy_prehistory": 0.42857142857142855, "mmlu_eval_accuracy_professional_accounting": 0.3870967741935484, "mmlu_eval_accuracy_professional_law": 0.3176470588235294, "mmlu_eval_accuracy_professional_medicine": 0.5161290322580645, "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": 0.7272727272727273, "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, "mmlu_eval_accuracy_virology": 0.5, "mmlu_eval_accuracy_world_religions": 0.5789473684210527, "mmlu_loss": 1.0786811426554275, "step": 3800 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.8978, "step": 3801 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.9554, "step": 3802 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.8968, "step": 3803 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.8406, "step": 3804 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.673, "step": 3805 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.9075, "step": 3806 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 1.0223, "step": 3807 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.8667, "step": 3808 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.5676, "step": 3809 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.8474, "step": 3810 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.9733, "step": 3811 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 1.1402, "step": 3812 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 1.0997, "step": 3813 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.7887, "step": 3814 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.964, "step": 3815 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.9045, "step": 3816 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.7794, "step": 3817 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.9694, "step": 3818 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.6876, "step": 3819 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.9556, "step": 3820 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.8122, "step": 3821 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 1.0654, "step": 3822 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 1.0697, "step": 3823 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.9531, "step": 3824 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.9464, "step": 3825 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.938, "step": 3826 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.7458, "step": 3827 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.7897, "step": 3828 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.9315, "step": 3829 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.8509, "step": 3830 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.86, "step": 3831 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.9243, "step": 3832 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.7544, "step": 3833 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.7777, "step": 3834 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 0.9125, "step": 3835 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 1.1853, "step": 3836 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 1.2754, "step": 3837 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 1.0082, "step": 3838 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.7443, "step": 3839 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.9128, "step": 3840 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.7262, "step": 3841 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.8426, "step": 3842 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.7906, "step": 3843 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.7521, "step": 3844 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.982, "step": 3845 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.8176, "step": 3846 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 1.0085, "step": 3847 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.768, "step": 3848 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.9904, "step": 3849 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.9444, "step": 3850 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.7557, "step": 3851 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 1.0277, "step": 3852 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 1.0233, "step": 3853 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.8816, "step": 3854 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.7447, "step": 3855 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.7809, "step": 3856 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 1.0633, "step": 3857 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.8002, "step": 3858 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.6461, "step": 3859 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 1.2093, "step": 3860 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 1.2438, "step": 3861 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.9228, "step": 3862 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.8398, "step": 3863 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.9511, "step": 3864 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.9215, "step": 3865 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.9591, "step": 3866 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.7795, "step": 3867 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.8968, "step": 3868 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.9028, "step": 3869 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.8605, "step": 3870 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.8403, "step": 3871 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.9981, "step": 3872 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.7783, "step": 3873 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.7447, "step": 3874 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.6959, "step": 3875 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.8009, "step": 3876 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.871, "step": 3877 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.9073, "step": 3878 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 1.006, "step": 3879 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.6984, "step": 3880 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.7149, "step": 3881 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.6226, "step": 3882 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 1.1475, "step": 3883 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.943, "step": 3884 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 1.17, "step": 3885 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.8485, "step": 3886 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.716, "step": 3887 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 1.0295, "step": 3888 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.8801, "step": 3889 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.8074, "step": 3890 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.8537, "step": 3891 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 1.0794, "step": 3892 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.6832, "step": 3893 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.8196, "step": 3894 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 1.2064, "step": 3895 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 0.9847, "step": 3896 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 0.8541, "step": 3897 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 0.767, "step": 3898 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 0.9254, "step": 3899 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 1.1364, "step": 3900 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 1.0078, "step": 3901 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 0.7561, "step": 3902 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 1.2064, "step": 3903 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 0.7412, "step": 3904 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 0.7916, "step": 3905 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 0.7739, "step": 3906 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 1.256, "step": 3907 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 1.057, "step": 3908 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 0.7333, "step": 3909 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 0.982, "step": 3910 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 0.9579, "step": 3911 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 1.0216, "step": 3912 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 0.9744, "step": 3913 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 0.8908, "step": 3914 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 0.6385, "step": 3915 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 0.8638, "step": 3916 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 0.7329, "step": 3917 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 1.0569, "step": 3918 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 0.9038, "step": 3919 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 0.9173, "step": 3920 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 0.9149, "step": 3921 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 0.8179, "step": 3922 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 1.0091, "step": 3923 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 0.9304, "step": 3924 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 1.1173, "step": 3925 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 0.7864, "step": 3926 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 0.9418, "step": 3927 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 0.751, "step": 3928 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 0.8822, "step": 3929 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 0.9574, "step": 3930 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 1.0648, "step": 3931 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 0.8673, "step": 3932 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 0.7344, "step": 3933 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 1.0317, "step": 3934 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 0.9235, "step": 3935 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 0.8815, "step": 3936 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 0.8961, "step": 3937 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 1.0615, "step": 3938 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 0.9422, "step": 3939 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 0.9075, "step": 3940 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 0.8335, "step": 3941 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 1.0745, "step": 3942 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 0.8123, "step": 3943 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 0.8518, "step": 3944 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 0.7318, "step": 3945 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 0.8127, "step": 3946 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 0.8405, "step": 3947 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 0.8147, "step": 3948 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 1.0386, "step": 3949 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 0.7947, "step": 3950 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 0.8129, "step": 3951 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 0.7347, "step": 3952 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 0.9185, "step": 3953 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 1.1002, "step": 3954 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 0.9214, "step": 3955 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 0.7525, "step": 3956 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 0.7748, "step": 3957 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 0.9723, "step": 3958 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 0.9101, "step": 3959 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 0.7454, "step": 3960 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 1.0029, "step": 3961 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 0.4232, "step": 3962 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 1.1118, "step": 3963 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 1.1153, "step": 3964 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 1.0415, "step": 3965 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 0.895, "step": 3966 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 0.9947, "step": 3967 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 1.0856, "step": 3968 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 0.9414, "step": 3969 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 1.1361, "step": 3970 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 0.7619, "step": 3971 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 1.0813, "step": 3972 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 1.0266, "step": 3973 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 0.8146, "step": 3974 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 0.7959, "step": 3975 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 0.8144, "step": 3976 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 0.8128, "step": 3977 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 0.8898, "step": 3978 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 1.1038, "step": 3979 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 0.8617, "step": 3980 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 0.9737, "step": 3981 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 0.7826, "step": 3982 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 0.7924, "step": 3983 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 1.0902, "step": 3984 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 1.1896, "step": 3985 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 0.8029, "step": 3986 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 0.7059, "step": 3987 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 1.1683, "step": 3988 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 0.8532, "step": 3989 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 0.9355, "step": 3990 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 0.547, "step": 3991 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 0.8544, "step": 3992 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 0.9328, "step": 3993 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 0.9675, "step": 3994 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 1.0555, "step": 3995 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 0.6893, "step": 3996 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 1.0179, "step": 3997 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 0.936, "step": 3998 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 0.9503, "step": 3999 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 1.0415, "step": 4000 }, { "epoch": 0.69, "eval_loss": 0.8997776508331299, "eval_runtime": 110.2814, "eval_samples_per_second": 9.068, "eval_steps_per_second": 4.534, "step": 4000 }, { "epoch": 0.69, "mmlu_eval_accuracy": 0.5272258092082162, "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, "mmlu_eval_accuracy_anatomy": 0.5, "mmlu_eval_accuracy_astronomy": 0.5625, "mmlu_eval_accuracy_business_ethics": 0.36363636363636365, "mmlu_eval_accuracy_clinical_knowledge": 0.5517241379310345, "mmlu_eval_accuracy_college_biology": 0.6875, "mmlu_eval_accuracy_college_chemistry": 0.25, "mmlu_eval_accuracy_college_computer_science": 0.2727272727272727, "mmlu_eval_accuracy_college_mathematics": 0.18181818181818182, "mmlu_eval_accuracy_college_medicine": 0.5, "mmlu_eval_accuracy_college_physics": 0.45454545454545453, "mmlu_eval_accuracy_computer_security": 0.6363636363636364, "mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464, "mmlu_eval_accuracy_econometrics": 0.5833333333333334, "mmlu_eval_accuracy_electrical_engineering": 0.5, "mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536, "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, "mmlu_eval_accuracy_global_facts": 0.4, "mmlu_eval_accuracy_high_school_biology": 0.53125, "mmlu_eval_accuracy_high_school_chemistry": 0.22727272727272727, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112, "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, "mmlu_eval_accuracy_high_school_macroeconomics": 0.5116279069767442, "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, "mmlu_eval_accuracy_high_school_microeconomics": 0.5384615384615384, "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, "mmlu_eval_accuracy_high_school_psychology": 0.85, "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": 0.6956521739130435, "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": 0.7222222222222222, "mmlu_eval_accuracy_machine_learning": 0.2727272727272727, "mmlu_eval_accuracy_management": 0.6363636363636364, "mmlu_eval_accuracy_marketing": 0.84, "mmlu_eval_accuracy_medical_genetics": 0.8181818181818182, "mmlu_eval_accuracy_miscellaneous": 0.7209302325581395, "mmlu_eval_accuracy_moral_disputes": 0.5, "mmlu_eval_accuracy_moral_scenarios": 0.31, "mmlu_eval_accuracy_nutrition": 0.6363636363636364, "mmlu_eval_accuracy_philosophy": 0.6176470588235294, "mmlu_eval_accuracy_prehistory": 0.6571428571428571, "mmlu_eval_accuracy_professional_accounting": 0.3870967741935484, "mmlu_eval_accuracy_professional_law": 0.36470588235294116, "mmlu_eval_accuracy_professional_medicine": 0.5806451612903226, "mmlu_eval_accuracy_professional_psychology": 0.5362318840579711, "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": 0.7272727272727273, "mmlu_eval_accuracy_virology": 0.5, "mmlu_eval_accuracy_world_religions": 0.5789473684210527, "mmlu_loss": 1.3683674419517617, "step": 4000 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 0.8536, "step": 4001 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 0.9995, "step": 4002 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 0.8294, "step": 4003 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 0.7681, "step": 4004 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 0.88, "step": 4005 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 0.7933, "step": 4006 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 0.9137, "step": 4007 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 0.927, "step": 4008 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 1.0885, "step": 4009 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.8706, "step": 4010 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.8034, "step": 4011 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 1.0071, "step": 4012 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 1.1648, "step": 4013 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.734, "step": 4014 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 1.0491, "step": 4015 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.7545, "step": 4016 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.7312, "step": 4017 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.8092, "step": 4018 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.8138, "step": 4019 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 1.1798, "step": 4020 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.6923, "step": 4021 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.893, "step": 4022 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.989, "step": 4023 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.6531, "step": 4024 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.5733, "step": 4025 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 1.1353, "step": 4026 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.9896, "step": 4027 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.7842, "step": 4028 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.8266, "step": 4029 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.7633, "step": 4030 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.5497, "step": 4031 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.65, "step": 4032 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.9698, "step": 4033 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.7723, "step": 4034 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.6936, "step": 4035 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.6624, "step": 4036 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 1.0125, "step": 4037 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.9987, "step": 4038 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.7468, "step": 4039 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 1.0165, "step": 4040 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.9325, "step": 4041 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.8142, "step": 4042 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 1.1856, "step": 4043 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.932, "step": 4044 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 1.0409, "step": 4045 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 1.0302, "step": 4046 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.8667, "step": 4047 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.9909, "step": 4048 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.8591, "step": 4049 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 1.1248, "step": 4050 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.8043, "step": 4051 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.8093, "step": 4052 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.7595, "step": 4053 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 1.1111, "step": 4054 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 1.0286, "step": 4055 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.6652, "step": 4056 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.7006, "step": 4057 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.8736, "step": 4058 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.8403, "step": 4059 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.7785, "step": 4060 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.9582, "step": 4061 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 1.2395, "step": 4062 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.9781, "step": 4063 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.7395, "step": 4064 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.9686, "step": 4065 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.9742, "step": 4066 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.8169, "step": 4067 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 1.2283, "step": 4068 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 1.0593, "step": 4069 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 0.7952, "step": 4070 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 0.9032, "step": 4071 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 1.0601, "step": 4072 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 0.7142, "step": 4073 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 0.5603, "step": 4074 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 1.0476, "step": 4075 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 0.6638, "step": 4076 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 0.9639, "step": 4077 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 1.0399, "step": 4078 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 0.6146, "step": 4079 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 0.9079, "step": 4080 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 0.7066, "step": 4081 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 0.7663, "step": 4082 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 0.9456, "step": 4083 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 0.9781, "step": 4084 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 0.9686, "step": 4085 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 0.9448, "step": 4086 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 1.112, "step": 4087 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 0.8705, "step": 4088 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 0.8342, "step": 4089 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 0.9392, "step": 4090 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 1.0047, "step": 4091 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 0.7942, "step": 4092 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 0.9207, "step": 4093 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 1.144, "step": 4094 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 0.964, "step": 4095 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 0.9734, "step": 4096 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 0.8675, "step": 4097 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 0.8363, "step": 4098 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 1.0526, "step": 4099 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 1.0258, "step": 4100 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 0.8998, "step": 4101 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 0.7745, "step": 4102 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 0.9756, "step": 4103 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 0.7597, "step": 4104 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 0.9461, "step": 4105 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 1.1214, "step": 4106 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 0.9099, "step": 4107 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 0.8298, "step": 4108 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 0.9834, "step": 4109 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 0.7735, "step": 4110 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 1.1266, "step": 4111 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 1.1171, "step": 4112 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 1.1357, "step": 4113 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 0.8465, "step": 4114 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 1.2499, "step": 4115 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 0.9472, "step": 4116 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 0.8494, "step": 4117 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 1.0122, "step": 4118 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 0.8869, "step": 4119 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 0.9949, "step": 4120 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 0.8151, "step": 4121 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 1.1475, "step": 4122 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 0.7221, "step": 4123 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 0.6157, "step": 4124 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 0.9078, "step": 4125 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 0.8733, "step": 4126 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 0.6608, "step": 4127 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 0.8029, "step": 4128 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 0.7819, "step": 4129 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 1.1853, "step": 4130 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 0.9474, "step": 4131 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 0.7187, "step": 4132 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 1.0201, "step": 4133 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 0.8177, "step": 4134 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 1.0835, "step": 4135 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 0.9683, "step": 4136 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 1.0001, "step": 4137 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 0.6714, "step": 4138 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 0.9337, "step": 4139 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 0.7665, "step": 4140 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 1.0345, "step": 4141 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 1.0612, "step": 4142 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 1.0599, "step": 4143 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 0.766, "step": 4144 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 1.1062, "step": 4145 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 0.9537, "step": 4146 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 0.7941, "step": 4147 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 1.1978, "step": 4148 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 0.8901, "step": 4149 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 0.8171, "step": 4150 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 0.8584, "step": 4151 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 1.1119, "step": 4152 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 0.8957, "step": 4153 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 1.0406, "step": 4154 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 0.6939, "step": 4155 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 0.7721, "step": 4156 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 0.8234, "step": 4157 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 0.8059, "step": 4158 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 0.9174, "step": 4159 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 1.1671, "step": 4160 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 0.8232, "step": 4161 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 0.9272, "step": 4162 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 1.0462, "step": 4163 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 0.6321, "step": 4164 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 1.1089, "step": 4165 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 0.7274, "step": 4166 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 0.6143, "step": 4167 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 1.0469, "step": 4168 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 1.0226, "step": 4169 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 1.0454, "step": 4170 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 0.7663, "step": 4171 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 0.8596, "step": 4172 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 0.9626, "step": 4173 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 0.8545, "step": 4174 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 0.9758, "step": 4175 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 0.8905, "step": 4176 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 0.8067, "step": 4177 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 1.1279, "step": 4178 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 0.9592, "step": 4179 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 0.8668, "step": 4180 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 0.8756, "step": 4181 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 0.7015, "step": 4182 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.6384, "step": 4183 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.863, "step": 4184 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.8445, "step": 4185 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.8152, "step": 4186 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.8536, "step": 4187 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.7889, "step": 4188 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 1.1026, "step": 4189 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 1.0243, "step": 4190 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.9313, "step": 4191 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.9957, "step": 4192 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.7533, "step": 4193 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.8165, "step": 4194 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.7802, "step": 4195 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 1.171, "step": 4196 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 1.0807, "step": 4197 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.8709, "step": 4198 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 1.0, "step": 4199 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.8368, "step": 4200 }, { "epoch": 0.73, "eval_loss": 0.8931112885475159, "eval_runtime": 110.3489, "eval_samples_per_second": 9.062, "eval_steps_per_second": 4.531, "step": 4200 }, { "epoch": 0.73, "mmlu_eval_accuracy": 0.5436584563919489, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.7142857142857143, "mmlu_eval_accuracy_astronomy": 0.625, "mmlu_eval_accuracy_business_ethics": 0.45454545454545453, "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": 0.2727272727272727, "mmlu_eval_accuracy_college_medicine": 0.45454545454545453, "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": 0.25, "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": 0.5625, "mmlu_eval_accuracy_high_school_chemistry": 0.2727272727272727, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112, "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": 0.3448275862068966, "mmlu_eval_accuracy_high_school_microeconomics": 0.6538461538461539, "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, "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": 0.8461538461538461, "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, "mmlu_eval_accuracy_machine_learning": 0.5454545454545454, "mmlu_eval_accuracy_management": 0.7272727272727273, "mmlu_eval_accuracy_marketing": 0.84, "mmlu_eval_accuracy_medical_genetics": 0.8181818181818182, "mmlu_eval_accuracy_miscellaneous": 0.7325581395348837, "mmlu_eval_accuracy_moral_disputes": 0.47368421052631576, "mmlu_eval_accuracy_moral_scenarios": 0.24, "mmlu_eval_accuracy_nutrition": 0.7272727272727273, "mmlu_eval_accuracy_philosophy": 0.5294117647058824, "mmlu_eval_accuracy_prehistory": 0.5428571428571428, "mmlu_eval_accuracy_professional_accounting": 0.41935483870967744, "mmlu_eval_accuracy_professional_law": 0.36470588235294116, "mmlu_eval_accuracy_professional_medicine": 0.5806451612903226, "mmlu_eval_accuracy_professional_psychology": 0.6086956521739131, "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": 0.6111111111111112, "mmlu_eval_accuracy_world_religions": 0.5789473684210527, "mmlu_loss": 1.0510119991109514, "step": 4200 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.9482, "step": 4201 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.9726, "step": 4202 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.8599, "step": 4203 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.9433, "step": 4204 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 1.0766, "step": 4205 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.9668, "step": 4206 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 1.0493, "step": 4207 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.7514, "step": 4208 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.9674, "step": 4209 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.9546, "step": 4210 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.902, "step": 4211 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.8981, "step": 4212 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.9312, "step": 4213 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.901, "step": 4214 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.9135, "step": 4215 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.7571, "step": 4216 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.7995, "step": 4217 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.7199, "step": 4218 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 1.0216, "step": 4219 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.8415, "step": 4220 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 1.0023, "step": 4221 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 1.0815, "step": 4222 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.9204, "step": 4223 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.8702, "step": 4224 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 1.0645, "step": 4225 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.7651, "step": 4226 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.9394, "step": 4227 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.802, "step": 4228 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 1.0138, "step": 4229 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.7886, "step": 4230 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 1.0861, "step": 4231 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.882, "step": 4232 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.8206, "step": 4233 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.8038, "step": 4234 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.7563, "step": 4235 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.7794, "step": 4236 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.8912, "step": 4237 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.8158, "step": 4238 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.9753, "step": 4239 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 0.6895, "step": 4240 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 1.0365, "step": 4241 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.9696, "step": 4242 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.7881, "step": 4243 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.9128, "step": 4244 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.9978, "step": 4245 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.7937, "step": 4246 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.9146, "step": 4247 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.9791, "step": 4248 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 1.1196, "step": 4249 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.9015, "step": 4250 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.8918, "step": 4251 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.9114, "step": 4252 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.9101, "step": 4253 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 1.0183, "step": 4254 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.9423, "step": 4255 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.885, "step": 4256 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.8731, "step": 4257 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.797, "step": 4258 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 1.0407, "step": 4259 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.5493, "step": 4260 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.9908, "step": 4261 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.7756, "step": 4262 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.9611, "step": 4263 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 1.0504, "step": 4264 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.9146, "step": 4265 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.8384, "step": 4266 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.775, "step": 4267 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.9137, "step": 4268 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.9674, "step": 4269 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.9124, "step": 4270 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.8276, "step": 4271 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 1.0147, "step": 4272 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.837, "step": 4273 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.7596, "step": 4274 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 1.0038, "step": 4275 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.9211, "step": 4276 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.8591, "step": 4277 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 1.0256, "step": 4278 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.6155, "step": 4279 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.9351, "step": 4280 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.923, "step": 4281 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.8091, "step": 4282 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 1.0203, "step": 4283 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.8634, "step": 4284 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.6202, "step": 4285 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.9608, "step": 4286 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.8226, "step": 4287 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.7991, "step": 4288 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.8127, "step": 4289 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.7975, "step": 4290 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.9151, "step": 4291 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 1.2002, "step": 4292 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.8998, "step": 4293 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.8501, "step": 4294 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.9358, "step": 4295 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.6899, "step": 4296 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 1.0986, "step": 4297 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.8387, "step": 4298 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 0.9007, "step": 4299 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 1.0756, "step": 4300 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 1.0191, "step": 4301 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 0.7807, "step": 4302 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 1.1305, "step": 4303 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 0.9082, "step": 4304 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 0.973, "step": 4305 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 0.7822, "step": 4306 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 0.8625, "step": 4307 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 1.0087, "step": 4308 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 1.129, "step": 4309 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 0.9464, "step": 4310 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 1.0529, "step": 4311 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 1.1048, "step": 4312 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 0.9419, "step": 4313 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 0.7813, "step": 4314 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 0.7734, "step": 4315 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 0.7855, "step": 4316 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 1.0949, "step": 4317 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 0.8782, "step": 4318 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 0.9736, "step": 4319 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 0.7241, "step": 4320 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 1.0396, "step": 4321 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 1.184, "step": 4322 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 0.8988, "step": 4323 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 0.7499, "step": 4324 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 1.0655, "step": 4325 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 0.9618, "step": 4326 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 0.9261, "step": 4327 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 0.9816, "step": 4328 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 0.9198, "step": 4329 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 0.8478, "step": 4330 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 1.0885, "step": 4331 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 0.9113, "step": 4332 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 1.0001, "step": 4333 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 0.9198, "step": 4334 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 0.9989, "step": 4335 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 0.6799, "step": 4336 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 0.9276, "step": 4337 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 0.8218, "step": 4338 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 0.9109, "step": 4339 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 0.7409, "step": 4340 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 1.0152, "step": 4341 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 0.9832, "step": 4342 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 0.5835, "step": 4343 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 1.1592, "step": 4344 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 0.8751, "step": 4345 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 0.5737, "step": 4346 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 0.8644, "step": 4347 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 0.8831, "step": 4348 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 0.8326, "step": 4349 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 1.1878, "step": 4350 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 0.8061, "step": 4351 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 0.751, "step": 4352 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 1.0108, "step": 4353 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 1.0204, "step": 4354 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 1.0736, "step": 4355 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 0.9848, "step": 4356 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 0.9517, "step": 4357 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 0.8789, "step": 4358 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 0.7862, "step": 4359 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 0.6984, "step": 4360 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 0.8703, "step": 4361 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 0.9822, "step": 4362 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 0.988, "step": 4363 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 0.7337, "step": 4364 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 0.7636, "step": 4365 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 1.0119, "step": 4366 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 0.9364, "step": 4367 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 1.1312, "step": 4368 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 0.762, "step": 4369 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 0.759, "step": 4370 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 1.2068, "step": 4371 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 1.1336, "step": 4372 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 0.899, "step": 4373 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 1.1082, "step": 4374 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 1.0708, "step": 4375 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 1.1502, "step": 4376 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 1.0174, "step": 4377 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 0.8408, "step": 4378 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 0.7788, "step": 4379 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 0.9313, "step": 4380 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 0.6777, "step": 4381 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 0.8831, "step": 4382 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 0.5117, "step": 4383 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 0.9784, "step": 4384 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 1.1334, "step": 4385 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 0.7745, "step": 4386 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 0.8869, "step": 4387 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 0.9572, "step": 4388 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 0.8318, "step": 4389 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 1.0245, "step": 4390 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 0.7446, "step": 4391 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 0.8524, "step": 4392 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 0.9882, "step": 4393 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 0.7929, "step": 4394 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 0.8274, "step": 4395 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 1.0877, "step": 4396 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 0.7411, "step": 4397 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 1.067, "step": 4398 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 0.5403, "step": 4399 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 0.6989, "step": 4400 }, { "epoch": 0.76, "eval_loss": 0.8974679112434387, "eval_runtime": 110.3403, "eval_samples_per_second": 9.063, "eval_steps_per_second": 4.531, "step": 4400 }, { "epoch": 0.76, "mmlu_eval_accuracy": 0.48552504301633853, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.5714285714285714, "mmlu_eval_accuracy_astronomy": 0.625, "mmlu_eval_accuracy_business_ethics": 0.45454545454545453, "mmlu_eval_accuracy_clinical_knowledge": 0.5172413793103449, "mmlu_eval_accuracy_college_biology": 0.625, "mmlu_eval_accuracy_college_chemistry": 0.0, "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365, "mmlu_eval_accuracy_college_mathematics": 0.09090909090909091, "mmlu_eval_accuracy_college_medicine": 0.45454545454545453, "mmlu_eval_accuracy_college_physics": 0.5454545454545454, "mmlu_eval_accuracy_computer_security": 0.7272727272727273, "mmlu_eval_accuracy_conceptual_physics": 0.5384615384615384, "mmlu_eval_accuracy_econometrics": 0.25, "mmlu_eval_accuracy_electrical_engineering": 0.1875, "mmlu_eval_accuracy_elementary_mathematics": 0.3170731707317073, "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, "mmlu_eval_accuracy_global_facts": 0.4, "mmlu_eval_accuracy_high_school_biology": 0.5625, "mmlu_eval_accuracy_high_school_chemistry": 0.2727272727272727, "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, "mmlu_eval_accuracy_high_school_european_history": 0.5555555555555556, "mmlu_eval_accuracy_high_school_geography": 0.6818181818181818, "mmlu_eval_accuracy_high_school_government_and_politics": 0.5238095238095238, "mmlu_eval_accuracy_high_school_macroeconomics": 0.46511627906976744, "mmlu_eval_accuracy_high_school_mathematics": 0.10344827586206896, "mmlu_eval_accuracy_high_school_microeconomics": 0.5384615384615384, "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, "mmlu_eval_accuracy_high_school_psychology": 0.7166666666666667, "mmlu_eval_accuracy_high_school_statistics": 0.21739130434782608, "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, "mmlu_eval_accuracy_high_school_world_history": 0.6153846153846154, "mmlu_eval_accuracy_human_aging": 0.5652173913043478, "mmlu_eval_accuracy_human_sexuality": 0.25, "mmlu_eval_accuracy_international_law": 0.8461538461538461, "mmlu_eval_accuracy_jurisprudence": 0.36363636363636365, "mmlu_eval_accuracy_logical_fallacies": 0.7222222222222222, "mmlu_eval_accuracy_machine_learning": 0.2727272727272727, "mmlu_eval_accuracy_management": 0.5454545454545454, "mmlu_eval_accuracy_marketing": 0.84, "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, "mmlu_eval_accuracy_miscellaneous": 0.6976744186046512, "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, "mmlu_eval_accuracy_moral_scenarios": 0.28, "mmlu_eval_accuracy_nutrition": 0.5151515151515151, "mmlu_eval_accuracy_philosophy": 0.5294117647058824, "mmlu_eval_accuracy_prehistory": 0.7714285714285715, "mmlu_eval_accuracy_professional_accounting": 0.3225806451612903, "mmlu_eval_accuracy_professional_law": 0.3176470588235294, "mmlu_eval_accuracy_professional_medicine": 0.41935483870967744, "mmlu_eval_accuracy_professional_psychology": 0.5507246376811594, "mmlu_eval_accuracy_public_relations": 0.5, "mmlu_eval_accuracy_security_studies": 0.5185185185185185, "mmlu_eval_accuracy_sociology": 0.8181818181818182, "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, "mmlu_eval_accuracy_virology": 0.4444444444444444, "mmlu_eval_accuracy_world_religions": 0.5789473684210527, "mmlu_loss": 0.9598013067292172, "step": 4400 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 0.8838, "step": 4401 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 0.5702, "step": 4402 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 1.0406, "step": 4403 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 0.6272, "step": 4404 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 1.007, "step": 4405 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 0.8853, "step": 4406 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 0.9049, "step": 4407 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 0.8996, "step": 4408 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 0.8227, "step": 4409 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 0.6128, "step": 4410 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 1.1437, "step": 4411 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 0.681, "step": 4412 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 1.0026, "step": 4413 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 0.8957, "step": 4414 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 0.8093, "step": 4415 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 1.1673, "step": 4416 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 0.9434, "step": 4417 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 0.9592, "step": 4418 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 1.0062, "step": 4419 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 1.0812, "step": 4420 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 0.7764, "step": 4421 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 0.8682, "step": 4422 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 1.0567, "step": 4423 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 0.9684, "step": 4424 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 0.6453, "step": 4425 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 0.7928, "step": 4426 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 1.2365, "step": 4427 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 1.0316, "step": 4428 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 1.0529, "step": 4429 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 1.0454, "step": 4430 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 0.9432, "step": 4431 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 0.9356, "step": 4432 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 0.9498, "step": 4433 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 0.9971, "step": 4434 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 0.9152, "step": 4435 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 0.9819, "step": 4436 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 0.8431, "step": 4437 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 0.559, "step": 4438 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 0.9661, "step": 4439 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 0.976, "step": 4440 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 0.8221, "step": 4441 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 0.8897, "step": 4442 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 1.0851, "step": 4443 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 0.9899, "step": 4444 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 0.7761, "step": 4445 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 1.0337, "step": 4446 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 0.9412, "step": 4447 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 0.8252, "step": 4448 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 0.8784, "step": 4449 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 1.0867, "step": 4450 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 0.8025, "step": 4451 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 0.8942, "step": 4452 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 0.5753, "step": 4453 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 1.0116, "step": 4454 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 0.6685, "step": 4455 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 0.8808, "step": 4456 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 0.9936, "step": 4457 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 0.8845, "step": 4458 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 0.8805, "step": 4459 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 0.6845, "step": 4460 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 0.7906, "step": 4461 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 0.9368, "step": 4462 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 1.0971, "step": 4463 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 0.6422, "step": 4464 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 0.82, "step": 4465 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 0.9442, "step": 4466 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 1.2033, "step": 4467 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 0.9136, "step": 4468 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 1.0187, "step": 4469 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 1.013, "step": 4470 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 0.827, "step": 4471 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 0.8132, "step": 4472 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 0.3148, "step": 4473 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 0.9496, "step": 4474 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 0.9479, "step": 4475 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 0.9921, "step": 4476 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 0.6733, "step": 4477 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 0.9706, "step": 4478 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 0.8654, "step": 4479 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 0.9956, "step": 4480 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 0.9503, "step": 4481 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 0.9832, "step": 4482 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 0.778, "step": 4483 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 1.2118, "step": 4484 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 1.107, "step": 4485 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 0.999, "step": 4486 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 0.842, "step": 4487 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 0.9242, "step": 4488 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 0.8024, "step": 4489 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 1.0728, "step": 4490 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 0.988, "step": 4491 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 0.9454, "step": 4492 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 1.1067, "step": 4493 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 1.0919, "step": 4494 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 0.9311, "step": 4495 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 0.8756, "step": 4496 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 1.0969, "step": 4497 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 0.7916, "step": 4498 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 0.9452, "step": 4499 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 0.9434, "step": 4500 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 1.1857, "step": 4501 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 0.8475, "step": 4502 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 1.138, "step": 4503 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 0.7523, "step": 4504 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 0.9659, "step": 4505 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 0.7966, "step": 4506 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 0.5794, "step": 4507 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 1.242, "step": 4508 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 0.8217, "step": 4509 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 0.6549, "step": 4510 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 0.704, "step": 4511 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 0.8443, "step": 4512 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 0.6073, "step": 4513 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 0.8466, "step": 4514 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 0.8761, "step": 4515 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 1.0191, "step": 4516 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 0.971, "step": 4517 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 1.079, "step": 4518 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 0.9972, "step": 4519 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 0.8651, "step": 4520 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 1.1555, "step": 4521 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 1.0829, "step": 4522 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 1.0227, "step": 4523 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 1.0283, "step": 4524 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 0.854, "step": 4525 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 1.0193, "step": 4526 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 0.8023, "step": 4527 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 0.8872, "step": 4528 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 1.1974, "step": 4529 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.8974, "step": 4530 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 1.0393, "step": 4531 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.9293, "step": 4532 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.9577, "step": 4533 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.8877, "step": 4534 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 1.1286, "step": 4535 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.8456, "step": 4536 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.7766, "step": 4537 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.6493, "step": 4538 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.9688, "step": 4539 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.8208, "step": 4540 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.9562, "step": 4541 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 1.0515, "step": 4542 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.8805, "step": 4543 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.9334, "step": 4544 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.9294, "step": 4545 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 1.0032, "step": 4546 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.7232, "step": 4547 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.8188, "step": 4548 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.8426, "step": 4549 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.9626, "step": 4550 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.8244, "step": 4551 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.8477, "step": 4552 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.733, "step": 4553 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.634, "step": 4554 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.9098, "step": 4555 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.9578, "step": 4556 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.7564, "step": 4557 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.8862, "step": 4558 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.803, "step": 4559 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.8297, "step": 4560 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.5888, "step": 4561 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.8994, "step": 4562 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.7486, "step": 4563 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 1.0252, "step": 4564 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.9793, "step": 4565 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.947, "step": 4566 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.789, "step": 4567 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 1.1852, "step": 4568 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.7302, "step": 4569 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.7886, "step": 4570 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.8626, "step": 4571 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.8396, "step": 4572 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 1.1353, "step": 4573 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.8379, "step": 4574 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.8345, "step": 4575 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.9203, "step": 4576 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.8147, "step": 4577 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 1.2234, "step": 4578 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 1.1645, "step": 4579 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.7568, "step": 4580 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 1.0371, "step": 4581 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 1.1145, "step": 4582 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.9048, "step": 4583 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.8688, "step": 4584 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.95, "step": 4585 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 1.008, "step": 4586 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 0.8, "step": 4587 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 1.0187, "step": 4588 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 0.872, "step": 4589 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 0.8079, "step": 4590 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 1.294, "step": 4591 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 0.8251, "step": 4592 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 1.1128, "step": 4593 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 0.9333, "step": 4594 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 0.922, "step": 4595 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 1.1692, "step": 4596 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 0.8432, "step": 4597 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 1.0279, "step": 4598 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 1.1943, "step": 4599 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 0.6356, "step": 4600 }, { "epoch": 0.8, "eval_loss": 0.8959365487098694, "eval_runtime": 110.3111, "eval_samples_per_second": 9.065, "eval_steps_per_second": 4.533, "step": 4600 }, { "epoch": 0.8, "mmlu_eval_accuracy": 0.4911448250571527, "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": 0.375, "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": 0.3181818181818182, "mmlu_eval_accuracy_college_physics": 0.36363636363636365, "mmlu_eval_accuracy_computer_security": 0.45454545454545453, "mmlu_eval_accuracy_conceptual_physics": 0.5, "mmlu_eval_accuracy_econometrics": 0.3333333333333333, "mmlu_eval_accuracy_electrical_engineering": 0.375, "mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536, "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, "mmlu_eval_accuracy_global_facts": 0.2, "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": 0.6666666666666666, "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, "mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191, "mmlu_eval_accuracy_high_school_macroeconomics": 0.5116279069767442, "mmlu_eval_accuracy_high_school_mathematics": 0.41379310344827586, "mmlu_eval_accuracy_high_school_microeconomics": 0.5769230769230769, "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, "mmlu_eval_accuracy_high_school_psychology": 0.6333333333333333, "mmlu_eval_accuracy_high_school_statistics": 0.43478260869565216, "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, "mmlu_eval_accuracy_high_school_world_history": 0.6153846153846154, "mmlu_eval_accuracy_human_aging": 0.6956521739130435, "mmlu_eval_accuracy_human_sexuality": 0.3333333333333333, "mmlu_eval_accuracy_international_law": 0.7692307692307693, "mmlu_eval_accuracy_jurisprudence": 0.5454545454545454, "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, "mmlu_eval_accuracy_machine_learning": 0.18181818181818182, "mmlu_eval_accuracy_management": 0.6363636363636364, "mmlu_eval_accuracy_marketing": 0.8, "mmlu_eval_accuracy_medical_genetics": 0.8181818181818182, "mmlu_eval_accuracy_miscellaneous": 0.6511627906976745, "mmlu_eval_accuracy_moral_disputes": 0.42105263157894735, "mmlu_eval_accuracy_moral_scenarios": 0.24, "mmlu_eval_accuracy_nutrition": 0.5151515151515151, "mmlu_eval_accuracy_philosophy": 0.6176470588235294, "mmlu_eval_accuracy_prehistory": 0.5714285714285714, "mmlu_eval_accuracy_professional_accounting": 0.41935483870967744, "mmlu_eval_accuracy_professional_law": 0.3176470588235294, "mmlu_eval_accuracy_professional_medicine": 0.4838709677419355, "mmlu_eval_accuracy_professional_psychology": 0.4927536231884058, "mmlu_eval_accuracy_public_relations": 0.4166666666666667, "mmlu_eval_accuracy_security_studies": 0.5555555555555556, "mmlu_eval_accuracy_sociology": 0.6818181818181818, "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, "mmlu_eval_accuracy_virology": 0.4444444444444444, "mmlu_eval_accuracy_world_religions": 0.7368421052631579, "mmlu_loss": 1.3844653603769157, "step": 4600 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 0.9314, "step": 4601 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 0.8224, "step": 4602 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 0.9892, "step": 4603 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 0.7907, "step": 4604 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 0.7623, "step": 4605 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 1.0408, "step": 4606 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 0.7239, "step": 4607 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 0.9449, "step": 4608 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 0.8223, "step": 4609 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 1.0249, "step": 4610 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 0.9353, "step": 4611 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 0.9137, "step": 4612 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 1.052, "step": 4613 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 1.3646, "step": 4614 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 1.1768, "step": 4615 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 0.7547, "step": 4616 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 1.0476, "step": 4617 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 0.9147, "step": 4618 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 1.2338, "step": 4619 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 1.0108, "step": 4620 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 0.9187, "step": 4621 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 0.7598, "step": 4622 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 0.8001, "step": 4623 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 0.8846, "step": 4624 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 0.7857, "step": 4625 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 1.0678, "step": 4626 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 0.8594, "step": 4627 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 0.7998, "step": 4628 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 0.9966, "step": 4629 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 1.0448, "step": 4630 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 0.7644, "step": 4631 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 0.7402, "step": 4632 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 1.007, "step": 4633 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 0.756, "step": 4634 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 0.9912, "step": 4635 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 0.8096, "step": 4636 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 0.8738, "step": 4637 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 1.0347, "step": 4638 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 0.7395, "step": 4639 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 0.6932, "step": 4640 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 0.8047, "step": 4641 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 0.8191, "step": 4642 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 0.8661, "step": 4643 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 0.9764, "step": 4644 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 0.8868, "step": 4645 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 0.9232, "step": 4646 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 0.8415, "step": 4647 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 0.5851, "step": 4648 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 1.0679, "step": 4649 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 0.3508, "step": 4650 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 0.9149, "step": 4651 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 0.9397, "step": 4652 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 1.0421, "step": 4653 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 0.9503, "step": 4654 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 0.759, "step": 4655 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 1.1178, "step": 4656 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 1.0105, "step": 4657 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 0.7808, "step": 4658 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 0.9315, "step": 4659 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 0.8626, "step": 4660 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 0.8984, "step": 4661 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 0.6788, "step": 4662 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 0.8312, "step": 4663 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 1.0718, "step": 4664 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 0.9184, "step": 4665 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 1.0489, "step": 4666 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 0.8446, "step": 4667 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 0.9057, "step": 4668 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 0.6485, "step": 4669 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 0.805, "step": 4670 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 0.9962, "step": 4671 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 0.8608, "step": 4672 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 0.8164, "step": 4673 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 0.8365, "step": 4674 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 1.0963, "step": 4675 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 0.7721, "step": 4676 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 1.1673, "step": 4677 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 0.9524, "step": 4678 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 0.715, "step": 4679 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 0.7319, "step": 4680 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 1.1187, "step": 4681 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 0.9142, "step": 4682 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 0.8295, "step": 4683 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 0.7891, "step": 4684 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 1.0911, "step": 4685 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 0.9516, "step": 4686 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 1.1312, "step": 4687 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 1.0563, "step": 4688 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 0.9251, "step": 4689 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 1.0418, "step": 4690 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 0.8979, "step": 4691 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 0.9551, "step": 4692 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 0.8806, "step": 4693 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 1.0033, "step": 4694 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 0.7845, "step": 4695 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 1.0739, "step": 4696 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 1.0115, "step": 4697 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 0.9395, "step": 4698 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 0.8886, "step": 4699 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 0.7865, "step": 4700 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 0.9363, "step": 4701 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 1.1033, "step": 4702 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 0.9983, "step": 4703 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 0.8186, "step": 4704 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 0.9342, "step": 4705 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 1.0272, "step": 4706 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 1.0188, "step": 4707 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 0.789, "step": 4708 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 1.1195, "step": 4709 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 0.9401, "step": 4710 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 0.9387, "step": 4711 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 0.7138, "step": 4712 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 0.7363, "step": 4713 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 0.7349, "step": 4714 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 0.845, "step": 4715 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 0.8677, "step": 4716 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 0.8239, "step": 4717 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 1.1947, "step": 4718 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 0.8481, "step": 4719 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 0.9271, "step": 4720 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 1.0273, "step": 4721 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 0.9875, "step": 4722 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 0.9992, "step": 4723 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 1.0506, "step": 4724 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 0.9008, "step": 4725 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 1.2144, "step": 4726 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 0.9104, "step": 4727 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 0.7134, "step": 4728 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 1.0576, "step": 4729 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 1.1007, "step": 4730 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 0.5212, "step": 4731 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 0.773, "step": 4732 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 0.7987, "step": 4733 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 0.859, "step": 4734 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 0.9871, "step": 4735 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 0.9522, "step": 4736 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 0.8219, "step": 4737 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 0.6282, "step": 4738 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 1.0796, "step": 4739 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 0.8107, "step": 4740 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 0.9955, "step": 4741 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 1.0135, "step": 4742 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 1.1611, "step": 4743 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 0.8423, "step": 4744 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 0.8895, "step": 4745 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 0.9822, "step": 4746 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 0.7608, "step": 4747 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 1.0409, "step": 4748 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 1.0099, "step": 4749 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 0.8783, "step": 4750 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 0.8289, "step": 4751 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 0.8988, "step": 4752 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 1.0761, "step": 4753 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 1.1262, "step": 4754 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 0.7867, "step": 4755 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 0.729, "step": 4756 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 1.1894, "step": 4757 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 1.0425, "step": 4758 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 0.963, "step": 4759 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 0.771, "step": 4760 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 0.9284, "step": 4761 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 1.0902, "step": 4762 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 0.7987, "step": 4763 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 1.0471, "step": 4764 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 0.8439, "step": 4765 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 0.845, "step": 4766 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 0.9325, "step": 4767 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 0.9234, "step": 4768 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 1.1805, "step": 4769 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 1.016, "step": 4770 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 0.7903, "step": 4771 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 0.6343, "step": 4772 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 0.8942, "step": 4773 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 0.9055, "step": 4774 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 0.8009, "step": 4775 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 0.6513, "step": 4776 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 0.9447, "step": 4777 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 1.2919, "step": 4778 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 0.8536, "step": 4779 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 0.8032, "step": 4780 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 0.9947, "step": 4781 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 0.8966, "step": 4782 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 0.9365, "step": 4783 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 0.8108, "step": 4784 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 1.0666, "step": 4785 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 0.9396, "step": 4786 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 1.2726, "step": 4787 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 0.866, "step": 4788 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 1.2563, "step": 4789 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 1.0881, "step": 4790 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 1.1815, "step": 4791 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 0.7579, "step": 4792 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 0.9742, "step": 4793 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 1.2383, "step": 4794 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 0.8406, "step": 4795 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 0.6636, "step": 4796 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 0.8758, "step": 4797 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 0.8847, "step": 4798 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 0.7332, "step": 4799 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 1.3571, "step": 4800 }, { "epoch": 0.83, "eval_loss": 0.8959394097328186, "eval_runtime": 110.2912, "eval_samples_per_second": 9.067, "eval_steps_per_second": 4.533, "step": 4800 }, { "epoch": 0.83, "mmlu_eval_accuracy": 0.4946636371082329, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.42857142857142855, "mmlu_eval_accuracy_astronomy": 0.625, "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, "mmlu_eval_accuracy_college_biology": 0.5, "mmlu_eval_accuracy_college_chemistry": 0.25, "mmlu_eval_accuracy_college_computer_science": 0.0, "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727, "mmlu_eval_accuracy_college_medicine": 0.5, "mmlu_eval_accuracy_college_physics": 0.5454545454545454, "mmlu_eval_accuracy_computer_security": 0.5454545454545454, "mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231, "mmlu_eval_accuracy_econometrics": 0.3333333333333333, "mmlu_eval_accuracy_electrical_engineering": 0.25, "mmlu_eval_accuracy_elementary_mathematics": 0.3170731707317073, "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, "mmlu_eval_accuracy_global_facts": 0.3, "mmlu_eval_accuracy_high_school_biology": 0.625, "mmlu_eval_accuracy_high_school_chemistry": 0.22727272727272727, "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, "mmlu_eval_accuracy_high_school_european_history": 0.6666666666666666, "mmlu_eval_accuracy_high_school_geography": 0.6818181818181818, "mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191, "mmlu_eval_accuracy_high_school_macroeconomics": 0.5348837209302325, "mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483, "mmlu_eval_accuracy_high_school_microeconomics": 0.6153846153846154, "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, "mmlu_eval_accuracy_high_school_psychology": 0.7333333333333333, "mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654, "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, "mmlu_eval_accuracy_high_school_world_history": 0.5769230769230769, "mmlu_eval_accuracy_human_aging": 0.6956521739130435, "mmlu_eval_accuracy_human_sexuality": 0.16666666666666666, "mmlu_eval_accuracy_international_law": 0.8461538461538461, "mmlu_eval_accuracy_jurisprudence": 0.5454545454545454, "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, "mmlu_eval_accuracy_machine_learning": 0.2727272727272727, "mmlu_eval_accuracy_management": 0.7272727272727273, "mmlu_eval_accuracy_marketing": 0.8, "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, "mmlu_eval_accuracy_miscellaneous": 0.6627906976744186, "mmlu_eval_accuracy_moral_disputes": 0.5, "mmlu_eval_accuracy_moral_scenarios": 0.27, "mmlu_eval_accuracy_nutrition": 0.48484848484848486, "mmlu_eval_accuracy_philosophy": 0.5882352941176471, "mmlu_eval_accuracy_prehistory": 0.6, "mmlu_eval_accuracy_professional_accounting": 0.3548387096774194, "mmlu_eval_accuracy_professional_law": 0.3411764705882353, "mmlu_eval_accuracy_professional_medicine": 0.45161290322580644, "mmlu_eval_accuracy_professional_psychology": 0.6086956521739131, "mmlu_eval_accuracy_public_relations": 0.5833333333333334, "mmlu_eval_accuracy_security_studies": 0.5185185185185185, "mmlu_eval_accuracy_sociology": 0.6363636363636364, "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, "mmlu_eval_accuracy_virology": 0.5, "mmlu_eval_accuracy_world_religions": 0.6842105263157895, "mmlu_loss": 1.1069670431607697, "step": 4800 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 1.4331, "step": 4801 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 0.782, "step": 4802 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 1.0122, "step": 4803 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 0.9181, "step": 4804 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 1.1293, "step": 4805 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 1.1743, "step": 4806 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 0.865, "step": 4807 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 1.1215, "step": 4808 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 0.9471, "step": 4809 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 1.0555, "step": 4810 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 1.0216, "step": 4811 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 0.923, "step": 4812 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 0.7459, "step": 4813 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 0.8889, "step": 4814 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 1.0646, "step": 4815 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 1.0736, "step": 4816 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 0.8344, "step": 4817 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 0.9479, "step": 4818 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 0.8452, "step": 4819 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 0.7801, "step": 4820 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 0.8321, "step": 4821 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 1.3036, "step": 4822 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 0.7693, "step": 4823 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 0.7702, "step": 4824 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 1.0407, "step": 4825 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 0.9925, "step": 4826 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 0.9177, "step": 4827 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 1.1204, "step": 4828 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 0.8616, "step": 4829 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 0.7887, "step": 4830 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 0.9178, "step": 4831 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 1.0231, "step": 4832 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 1.0661, "step": 4833 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 0.789, "step": 4834 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 1.0151, "step": 4835 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 1.0533, "step": 4836 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 0.7555, "step": 4837 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 0.9159, "step": 4838 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 0.9006, "step": 4839 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 0.9189, "step": 4840 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 0.7047, "step": 4841 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 1.0078, "step": 4842 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 0.9715, "step": 4843 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 0.8204, "step": 4844 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 0.8459, "step": 4845 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 0.8242, "step": 4846 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 1.0218, "step": 4847 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 1.0077, "step": 4848 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 0.9306, "step": 4849 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 0.9662, "step": 4850 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 0.9023, "step": 4851 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 0.8346, "step": 4852 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 1.0845, "step": 4853 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 0.7617, "step": 4854 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 0.8591, "step": 4855 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 0.9432, "step": 4856 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 1.0071, "step": 4857 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 0.8594, "step": 4858 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 1.064, "step": 4859 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 0.955, "step": 4860 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 0.8871, "step": 4861 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 1.07, "step": 4862 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 0.9395, "step": 4863 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 1.013, "step": 4864 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 1.037, "step": 4865 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 0.6965, "step": 4866 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 0.9207, "step": 4867 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 1.0348, "step": 4868 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 1.0163, "step": 4869 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 0.7605, "step": 4870 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 0.6601, "step": 4871 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 0.8826, "step": 4872 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 0.9125, "step": 4873 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 0.9563, "step": 4874 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 1.1463, "step": 4875 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 0.7522, "step": 4876 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 0.8399, "step": 4877 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 0.964, "step": 4878 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 0.9382, "step": 4879 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 1.0225, "step": 4880 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 0.9707, "step": 4881 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 0.9575, "step": 4882 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 1.0088, "step": 4883 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 1.142, "step": 4884 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 0.9521, "step": 4885 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 0.7642, "step": 4886 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 0.8456, "step": 4887 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 1.0683, "step": 4888 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 0.9413, "step": 4889 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 0.9521, "step": 4890 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 0.9835, "step": 4891 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 0.9735, "step": 4892 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 1.0882, "step": 4893 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 0.7754, "step": 4894 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 0.9443, "step": 4895 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 1.0977, "step": 4896 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 1.1587, "step": 4897 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 1.0586, "step": 4898 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 0.8729, "step": 4899 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 1.0327, "step": 4900 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 0.7326, "step": 4901 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 1.0769, "step": 4902 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 0.8446, "step": 4903 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 0.7474, "step": 4904 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 0.8178, "step": 4905 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 0.8264, "step": 4906 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 1.028, "step": 4907 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 0.9779, "step": 4908 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 0.8659, "step": 4909 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 1.049, "step": 4910 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 0.8363, "step": 4911 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 0.7607, "step": 4912 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 1.0074, "step": 4913 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 0.4843, "step": 4914 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 1.0229, "step": 4915 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 0.6864, "step": 4916 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 0.7885, "step": 4917 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 1.0121, "step": 4918 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 0.8784, "step": 4919 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 0.6486, "step": 4920 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 0.7821, "step": 4921 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 1.2405, "step": 4922 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 1.3317, "step": 4923 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 1.0693, "step": 4924 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 0.918, "step": 4925 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 1.1349, "step": 4926 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 1.0546, "step": 4927 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 0.8779, "step": 4928 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 0.8282, "step": 4929 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 1.1035, "step": 4930 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 1.0438, "step": 4931 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 1.1836, "step": 4932 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 0.8744, "step": 4933 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 0.7341, "step": 4934 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 1.101, "step": 4935 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 0.9994, "step": 4936 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 0.8045, "step": 4937 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 0.8801, "step": 4938 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 0.7608, "step": 4939 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 1.0087, "step": 4940 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 0.8696, "step": 4941 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 0.8137, "step": 4942 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 0.9447, "step": 4943 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 0.9499, "step": 4944 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 1.0124, "step": 4945 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 0.8065, "step": 4946 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 0.994, "step": 4947 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 0.9162, "step": 4948 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 0.4665, "step": 4949 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 0.9925, "step": 4950 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 0.9071, "step": 4951 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 0.8948, "step": 4952 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 1.1749, "step": 4953 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 0.8248, "step": 4954 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 0.8831, "step": 4955 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 1.0922, "step": 4956 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 1.0928, "step": 4957 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 0.9573, "step": 4958 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 0.9493, "step": 4959 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 0.698, "step": 4960 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 1.1232, "step": 4961 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 0.6778, "step": 4962 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 1.0369, "step": 4963 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 1.0014, "step": 4964 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 0.5182, "step": 4965 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 0.923, "step": 4966 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 0.8127, "step": 4967 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 1.0933, "step": 4968 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 0.9509, "step": 4969 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 0.7493, "step": 4970 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 0.9608, "step": 4971 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 0.9958, "step": 4972 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 0.8932, "step": 4973 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 0.818, "step": 4974 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 1.1969, "step": 4975 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 0.824, "step": 4976 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 1.1428, "step": 4977 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 1.0995, "step": 4978 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 1.097, "step": 4979 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 0.8943, "step": 4980 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 1.0637, "step": 4981 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 0.9253, "step": 4982 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 0.9712, "step": 4983 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 1.1113, "step": 4984 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 1.1332, "step": 4985 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 0.9268, "step": 4986 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 0.7405, "step": 4987 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 0.801, "step": 4988 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 0.8986, "step": 4989 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 1.0293, "step": 4990 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 0.883, "step": 4991 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 0.838, "step": 4992 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 0.7156, "step": 4993 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 0.972, "step": 4994 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 1.0241, "step": 4995 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 1.0229, "step": 4996 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 0.771, "step": 4997 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 0.884, "step": 4998 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 1.0651, "step": 4999 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 1.0617, "step": 5000 }, { "epoch": 0.87, "eval_loss": 0.8946854472160339, "eval_runtime": 110.2856, "eval_samples_per_second": 9.067, "eval_steps_per_second": 4.534, "step": 5000 }, { "epoch": 0.87, "mmlu_eval_accuracy": 0.48792441479952575, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.42857142857142855, "mmlu_eval_accuracy_astronomy": 0.6875, "mmlu_eval_accuracy_business_ethics": 0.7272727272727273, "mmlu_eval_accuracy_clinical_knowledge": 0.41379310344827586, "mmlu_eval_accuracy_college_biology": 0.5, "mmlu_eval_accuracy_college_chemistry": 0.125, "mmlu_eval_accuracy_college_computer_science": 0.0, "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": 0.5454545454545454, "mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231, "mmlu_eval_accuracy_econometrics": 0.25, "mmlu_eval_accuracy_electrical_engineering": 0.375, "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": 0.53125, "mmlu_eval_accuracy_high_school_chemistry": 0.2727272727272727, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112, "mmlu_eval_accuracy_high_school_geography": 0.7272727272727273, "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, "mmlu_eval_accuracy_high_school_macroeconomics": 0.5348837209302325, "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, "mmlu_eval_accuracy_high_school_microeconomics": 0.5, "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, "mmlu_eval_accuracy_high_school_psychology": 0.7, "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, "mmlu_eval_accuracy_high_school_world_history": 0.5, "mmlu_eval_accuracy_human_aging": 0.782608695652174, "mmlu_eval_accuracy_human_sexuality": 0.16666666666666666, "mmlu_eval_accuracy_international_law": 0.8461538461538461, "mmlu_eval_accuracy_jurisprudence": 0.5454545454545454, "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, "mmlu_eval_accuracy_machine_learning": 0.2727272727272727, "mmlu_eval_accuracy_management": 0.6363636363636364, "mmlu_eval_accuracy_marketing": 0.8, "mmlu_eval_accuracy_medical_genetics": 0.8181818181818182, "mmlu_eval_accuracy_miscellaneous": 0.6744186046511628, "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, "mmlu_eval_accuracy_moral_scenarios": 0.26, "mmlu_eval_accuracy_nutrition": 0.5151515151515151, "mmlu_eval_accuracy_philosophy": 0.5588235294117647, "mmlu_eval_accuracy_prehistory": 0.5428571428571428, "mmlu_eval_accuracy_professional_accounting": 0.3225806451612903, "mmlu_eval_accuracy_professional_law": 0.3235294117647059, "mmlu_eval_accuracy_professional_medicine": 0.4838709677419355, "mmlu_eval_accuracy_professional_psychology": 0.5362318840579711, "mmlu_eval_accuracy_public_relations": 0.5833333333333334, "mmlu_eval_accuracy_security_studies": 0.5925925925925926, "mmlu_eval_accuracy_sociology": 0.6363636363636364, "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, "mmlu_eval_accuracy_virology": 0.5, "mmlu_eval_accuracy_world_religions": 0.7368421052631579, "mmlu_loss": 1.6139201077562089, "step": 5000 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 0.9134, "step": 5001 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 0.9335, "step": 5002 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 0.829, "step": 5003 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 0.8141, "step": 5004 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 0.7378, "step": 5005 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 1.0049, "step": 5006 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 1.0245, "step": 5007 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 0.9652, "step": 5008 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 1.1814, "step": 5009 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 0.9259, "step": 5010 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 0.9583, "step": 5011 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 0.7024, "step": 5012 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 0.814, "step": 5013 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 0.9489, "step": 5014 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 0.6725, "step": 5015 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 0.9621, "step": 5016 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 0.9933, "step": 5017 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 0.841, "step": 5018 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 0.9567, "step": 5019 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 1.0095, "step": 5020 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 0.8517, "step": 5021 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 0.8269, "step": 5022 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 0.9751, "step": 5023 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 0.8984, "step": 5024 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 0.7134, "step": 5025 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 0.7901, "step": 5026 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 1.0164, "step": 5027 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 0.8906, "step": 5028 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 0.7338, "step": 5029 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 0.7333, "step": 5030 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 1.0547, "step": 5031 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 0.8531, "step": 5032 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 0.6644, "step": 5033 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 0.658, "step": 5034 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 1.0048, "step": 5035 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 0.8821, "step": 5036 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 1.0669, "step": 5037 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 0.6713, "step": 5038 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 0.9817, "step": 5039 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 0.8345, "step": 5040 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 0.745, "step": 5041 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 1.1047, "step": 5042 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 1.1457, "step": 5043 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 1.1635, "step": 5044 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 1.1274, "step": 5045 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 0.8548, "step": 5046 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 0.9287, "step": 5047 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 0.8911, "step": 5048 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 0.7415, "step": 5049 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 0.6881, "step": 5050 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 1.0365, "step": 5051 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 1.0755, "step": 5052 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 1.0312, "step": 5053 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 1.0204, "step": 5054 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 0.9516, "step": 5055 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 0.8197, "step": 5056 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 1.094, "step": 5057 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 1.208, "step": 5058 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 1.0025, "step": 5059 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 0.696, "step": 5060 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 0.9927, "step": 5061 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 0.7379, "step": 5062 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 0.796, "step": 5063 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 0.882, "step": 5064 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 1.1075, "step": 5065 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 0.8938, "step": 5066 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 1.1557, "step": 5067 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 0.7622, "step": 5068 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 0.9578, "step": 5069 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 0.9324, "step": 5070 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 1.1828, "step": 5071 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 0.9644, "step": 5072 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 0.9185, "step": 5073 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 1.0865, "step": 5074 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 1.0351, "step": 5075 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 0.9287, "step": 5076 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 1.0377, "step": 5077 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 0.7518, "step": 5078 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 0.6029, "step": 5079 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 1.0513, "step": 5080 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 0.8668, "step": 5081 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 0.8375, "step": 5082 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 0.9018, "step": 5083 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 0.6808, "step": 5084 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 0.9352, "step": 5085 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 0.7248, "step": 5086 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 0.7947, "step": 5087 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 0.9447, "step": 5088 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 1.0548, "step": 5089 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 0.6588, "step": 5090 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 0.7353, "step": 5091 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 0.7298, "step": 5092 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 0.9928, "step": 5093 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 1.1058, "step": 5094 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 0.4143, "step": 5095 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 1.0913, "step": 5096 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 0.8402, "step": 5097 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 0.9273, "step": 5098 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 0.9015, "step": 5099 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 0.8941, "step": 5100 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 0.6368, "step": 5101 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 0.9083, "step": 5102 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 0.9045, "step": 5103 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 1.1456, "step": 5104 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 1.0229, "step": 5105 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 1.0406, "step": 5106 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 1.0447, "step": 5107 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 0.8851, "step": 5108 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 0.7671, "step": 5109 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 0.5486, "step": 5110 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 0.9224, "step": 5111 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 1.1495, "step": 5112 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 0.5655, "step": 5113 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 0.7101, "step": 5114 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 0.6779, "step": 5115 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 0.7108, "step": 5116 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 0.6471, "step": 5117 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 0.7379, "step": 5118 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 0.7763, "step": 5119 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 0.6929, "step": 5120 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 1.1178, "step": 5121 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 1.0216, "step": 5122 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 1.1276, "step": 5123 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 1.3032, "step": 5124 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 0.7552, "step": 5125 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 0.7581, "step": 5126 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 0.8361, "step": 5127 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 1.0355, "step": 5128 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 0.9797, "step": 5129 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 0.9241, "step": 5130 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 0.907, "step": 5131 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 1.0866, "step": 5132 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 0.8802, "step": 5133 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 0.8807, "step": 5134 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 0.7679, "step": 5135 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 0.8237, "step": 5136 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 0.9586, "step": 5137 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 0.861, "step": 5138 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 0.9906, "step": 5139 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 1.1007, "step": 5140 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 0.6842, "step": 5141 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 1.1397, "step": 5142 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 1.1726, "step": 5143 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 1.0211, "step": 5144 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 0.719, "step": 5145 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 0.8223, "step": 5146 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 0.7987, "step": 5147 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 0.7071, "step": 5148 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 1.0609, "step": 5149 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 0.96, "step": 5150 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 1.1026, "step": 5151 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 1.0295, "step": 5152 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 0.7134, "step": 5153 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 1.0363, "step": 5154 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 0.8966, "step": 5155 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 0.9791, "step": 5156 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 1.1037, "step": 5157 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 0.7928, "step": 5158 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 1.0261, "step": 5159 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 1.1121, "step": 5160 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 0.8416, "step": 5161 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 0.9354, "step": 5162 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 0.7263, "step": 5163 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 1.0056, "step": 5164 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.9073, "step": 5165 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 1.013, "step": 5166 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 1.1092, "step": 5167 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.8159, "step": 5168 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.7335, "step": 5169 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.8681, "step": 5170 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 1.1151, "step": 5171 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.8604, "step": 5172 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 1.0611, "step": 5173 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 1.1969, "step": 5174 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.8247, "step": 5175 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.8636, "step": 5176 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.8504, "step": 5177 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.7073, "step": 5178 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.8728, "step": 5179 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.9081, "step": 5180 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.7355, "step": 5181 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 1.1145, "step": 5182 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.8449, "step": 5183 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.7995, "step": 5184 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.8002, "step": 5185 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.9558, "step": 5186 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.6672, "step": 5187 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.6621, "step": 5188 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.9761, "step": 5189 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.9248, "step": 5190 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.9047, "step": 5191 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 1.0287, "step": 5192 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.8858, "step": 5193 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.761, "step": 5194 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.915, "step": 5195 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.7612, "step": 5196 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.7481, "step": 5197 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.8734, "step": 5198 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.8833, "step": 5199 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.9504, "step": 5200 }, { "epoch": 0.9, "eval_loss": 0.8960095643997192, "eval_runtime": 110.2716, "eval_samples_per_second": 9.069, "eval_steps_per_second": 4.534, "step": 5200 }, { "epoch": 0.9, "mmlu_eval_accuracy": 0.4925859084102503, "mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182, "mmlu_eval_accuracy_anatomy": 0.42857142857142855, "mmlu_eval_accuracy_astronomy": 0.4375, "mmlu_eval_accuracy_business_ethics": 0.7272727272727273, "mmlu_eval_accuracy_clinical_knowledge": 0.41379310344827586, "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": 0.4090909090909091, "mmlu_eval_accuracy_college_physics": 0.36363636363636365, "mmlu_eval_accuracy_computer_security": 0.45454545454545453, "mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231, "mmlu_eval_accuracy_econometrics": 0.25, "mmlu_eval_accuracy_electrical_engineering": 0.3125, "mmlu_eval_accuracy_elementary_mathematics": 0.3170731707317073, "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": 0.2727272727272727, "mmlu_eval_accuracy_high_school_computer_science": 0.4444444444444444, "mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, "mmlu_eval_accuracy_high_school_geography": 0.8636363636363636, "mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191, "mmlu_eval_accuracy_high_school_macroeconomics": 0.5581395348837209, "mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483, "mmlu_eval_accuracy_high_school_microeconomics": 0.6153846153846154, "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, "mmlu_eval_accuracy_high_school_psychology": 0.7166666666666667, "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, "mmlu_eval_accuracy_high_school_us_history": 0.8181818181818182, "mmlu_eval_accuracy_high_school_world_history": 0.5384615384615384, "mmlu_eval_accuracy_human_aging": 0.782608695652174, "mmlu_eval_accuracy_human_sexuality": 0.3333333333333333, "mmlu_eval_accuracy_international_law": 0.7692307692307693, "mmlu_eval_accuracy_jurisprudence": 0.45454545454545453, "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, "mmlu_eval_accuracy_machine_learning": 0.18181818181818182, "mmlu_eval_accuracy_management": 0.6363636363636364, "mmlu_eval_accuracy_marketing": 0.84, "mmlu_eval_accuracy_medical_genetics": 0.8181818181818182, "mmlu_eval_accuracy_miscellaneous": 0.7325581395348837, "mmlu_eval_accuracy_moral_disputes": 0.5, "mmlu_eval_accuracy_moral_scenarios": 0.25, "mmlu_eval_accuracy_nutrition": 0.5151515151515151, "mmlu_eval_accuracy_philosophy": 0.6764705882352942, "mmlu_eval_accuracy_prehistory": 0.45714285714285713, "mmlu_eval_accuracy_professional_accounting": 0.4838709677419355, "mmlu_eval_accuracy_professional_law": 0.35294117647058826, "mmlu_eval_accuracy_professional_medicine": 0.5161290322580645, "mmlu_eval_accuracy_professional_psychology": 0.5652173913043478, "mmlu_eval_accuracy_public_relations": 0.4166666666666667, "mmlu_eval_accuracy_security_studies": 0.5555555555555556, "mmlu_eval_accuracy_sociology": 0.7272727272727273, "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, "mmlu_eval_accuracy_virology": 0.5555555555555556, "mmlu_eval_accuracy_world_religions": 0.6842105263157895, "mmlu_loss": 1.2766450295715979, "step": 5200 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.9158, "step": 5201 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.9833, "step": 5202 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 1.155, "step": 5203 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.9274, "step": 5204 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.9565, "step": 5205 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.7833, "step": 5206 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.6616, "step": 5207 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.824, "step": 5208 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.8416, "step": 5209 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.7597, "step": 5210 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.5499, "step": 5211 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 1.0189, "step": 5212 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.7672, "step": 5213 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.8296, "step": 5214 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 1.1468, "step": 5215 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 1.0693, "step": 5216 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.6763, "step": 5217 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 1.0432, "step": 5218 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.9564, "step": 5219 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.846, "step": 5220 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.8827, "step": 5221 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.9972, "step": 5222 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.8304, "step": 5223 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.8366, "step": 5224 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.7569, "step": 5225 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.953, "step": 5226 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.5435, "step": 5227 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.6703, "step": 5228 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.9491, "step": 5229 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.6778, "step": 5230 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.9473, "step": 5231 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.4962, "step": 5232 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.5648, "step": 5233 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.8373, "step": 5234 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.575, "step": 5235 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.9431, "step": 5236 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 1.055, "step": 5237 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.9862, "step": 5238 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.6851, "step": 5239 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.7543, "step": 5240 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.9406, "step": 5241 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.9453, "step": 5242 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.7843, "step": 5243 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.6543, "step": 5244 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.9539, "step": 5245 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 1.0285, "step": 5246 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 1.0319, "step": 5247 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 1.1436, "step": 5248 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 1.0328, "step": 5249 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.8441, "step": 5250 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.943, "step": 5251 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.9834, "step": 5252 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.9939, "step": 5253 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.9257, "step": 5254 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.7561, "step": 5255 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 1.0054, "step": 5256 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 1.1647, "step": 5257 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.8512, "step": 5258 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.5663, "step": 5259 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.8736, "step": 5260 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.6173, "step": 5261 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.773, "step": 5262 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.9647, "step": 5263 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.4544, "step": 5264 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.7511, "step": 5265 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.8475, "step": 5266 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 1.0706, "step": 5267 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.9149, "step": 5268 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 1.1519, "step": 5269 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.7561, "step": 5270 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 1.0296, "step": 5271 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.9934, "step": 5272 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.9524, "step": 5273 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.7944, "step": 5274 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.9029, "step": 5275 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.9669, "step": 5276 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.8503, "step": 5277 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 0.5513, "step": 5278 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 0.9243, "step": 5279 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 1.0529, "step": 5280 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 1.2185, "step": 5281 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 1.0021, "step": 5282 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 0.8808, "step": 5283 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 1.0846, "step": 5284 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 0.7814, "step": 5285 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 0.8974, "step": 5286 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 0.8229, "step": 5287 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 0.9341, "step": 5288 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 0.8831, "step": 5289 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 0.9179, "step": 5290 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 0.9186, "step": 5291 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 0.8777, "step": 5292 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 0.7255, "step": 5293 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 1.0302, "step": 5294 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 0.9415, "step": 5295 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 1.0504, "step": 5296 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 0.8139, "step": 5297 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 0.9961, "step": 5298 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 1.1169, "step": 5299 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 0.9137, "step": 5300 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 0.8932, "step": 5301 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 0.9449, "step": 5302 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 0.7332, "step": 5303 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 0.98, "step": 5304 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 0.9012, "step": 5305 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 1.0039, "step": 5306 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 0.9306, "step": 5307 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 1.0178, "step": 5308 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 0.7076, "step": 5309 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 1.1564, "step": 5310 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 0.7928, "step": 5311 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 1.0893, "step": 5312 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 1.0666, "step": 5313 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 1.0603, "step": 5314 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 1.1114, "step": 5315 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 0.9594, "step": 5316 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 1.0533, "step": 5317 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 0.812, "step": 5318 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 1.004, "step": 5319 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 0.9908, "step": 5320 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 0.9139, "step": 5321 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 0.9728, "step": 5322 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 1.0247, "step": 5323 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 0.9352, "step": 5324 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 0.7856, "step": 5325 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 0.8811, "step": 5326 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 0.9569, "step": 5327 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 0.7703, "step": 5328 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 1.0535, "step": 5329 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 1.0083, "step": 5330 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 1.0299, "step": 5331 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 0.874, "step": 5332 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 0.9907, "step": 5333 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 1.0397, "step": 5334 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 1.0321, "step": 5335 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 0.6972, "step": 5336 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 1.0085, "step": 5337 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 1.1611, "step": 5338 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 0.8522, "step": 5339 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 0.7829, "step": 5340 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 1.2004, "step": 5341 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 0.6456, "step": 5342 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 0.6828, "step": 5343 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 0.8453, "step": 5344 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 1.047, "step": 5345 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 0.7195, "step": 5346 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 0.793, "step": 5347 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 0.9405, "step": 5348 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 0.665, "step": 5349 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 1.2935, "step": 5350 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 0.8293, "step": 5351 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 0.7836, "step": 5352 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 1.1148, "step": 5353 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 1.0806, "step": 5354 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 0.7622, "step": 5355 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 0.7565, "step": 5356 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 1.0463, "step": 5357 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 0.9394, "step": 5358 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 1.0873, "step": 5359 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 0.6682, "step": 5360 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 1.0478, "step": 5361 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 0.977, "step": 5362 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 0.8882, "step": 5363 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 0.9898, "step": 5364 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 0.8433, "step": 5365 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 0.8454, "step": 5366 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 0.9152, "step": 5367 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 0.974, "step": 5368 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 1.018, "step": 5369 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 0.8328, "step": 5370 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 0.8895, "step": 5371 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 1.0715, "step": 5372 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 0.9016, "step": 5373 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 0.4409, "step": 5374 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 0.8493, "step": 5375 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 0.7255, "step": 5376 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 0.7418, "step": 5377 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 0.9538, "step": 5378 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 0.8955, "step": 5379 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 0.9011, "step": 5380 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 0.9152, "step": 5381 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 0.7544, "step": 5382 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 0.9226, "step": 5383 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 0.9478, "step": 5384 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 1.0512, "step": 5385 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 0.9126, "step": 5386 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 0.9671, "step": 5387 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 0.644, "step": 5388 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 0.8563, "step": 5389 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 1.1343, "step": 5390 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 0.9975, "step": 5391 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 0.8778, "step": 5392 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 0.9502, "step": 5393 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 1.0228, "step": 5394 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 1.0961, "step": 5395 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 0.7099, "step": 5396 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 0.8579, "step": 5397 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 1.1315, "step": 5398 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 1.1063, "step": 5399 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 0.8865, "step": 5400 }, { "epoch": 0.94, "eval_loss": 0.89686119556427, "eval_runtime": 110.3516, "eval_samples_per_second": 9.062, "eval_steps_per_second": 4.531, "step": 5400 }, { "epoch": 0.94, "mmlu_eval_accuracy": 0.5117493742420233, "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, "mmlu_eval_accuracy_anatomy": 0.6428571428571429, "mmlu_eval_accuracy_astronomy": 0.5, "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": 0.125, "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": 0.36363636363636365, "mmlu_eval_accuracy_computer_security": 0.36363636363636365, "mmlu_eval_accuracy_conceptual_physics": 0.3076923076923077, "mmlu_eval_accuracy_econometrics": 0.3333333333333333, "mmlu_eval_accuracy_electrical_engineering": 0.375, "mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244, "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": 0.2727272727272727, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112, "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": 0.1724137931034483, "mmlu_eval_accuracy_high_school_microeconomics": 0.6153846153846154, "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, "mmlu_eval_accuracy_high_school_psychology": 0.8, "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": 0.25, "mmlu_eval_accuracy_international_law": 0.7692307692307693, "mmlu_eval_accuracy_jurisprudence": 0.5454545454545454, "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, "mmlu_eval_accuracy_management": 0.7272727272727273, "mmlu_eval_accuracy_marketing": 0.76, "mmlu_eval_accuracy_medical_genetics": 0.8181818181818182, "mmlu_eval_accuracy_miscellaneous": 0.6976744186046512, "mmlu_eval_accuracy_moral_disputes": 0.5, "mmlu_eval_accuracy_moral_scenarios": 0.32, "mmlu_eval_accuracy_nutrition": 0.6666666666666666, "mmlu_eval_accuracy_philosophy": 0.5882352941176471, "mmlu_eval_accuracy_prehistory": 0.5714285714285714, "mmlu_eval_accuracy_professional_accounting": 0.41935483870967744, "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": 0.5833333333333334, "mmlu_eval_accuracy_security_studies": 0.5925925925925926, "mmlu_eval_accuracy_sociology": 0.7272727272727273, "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, "mmlu_eval_accuracy_virology": 0.5, "mmlu_eval_accuracy_world_religions": 0.5789473684210527, "mmlu_loss": 1.215617013195476, "step": 5400 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 0.7737, "step": 5401 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 0.9238, "step": 5402 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 1.0652, "step": 5403 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 1.2682, "step": 5404 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 1.1212, "step": 5405 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 1.1306, "step": 5406 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 0.6643, "step": 5407 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 0.7229, "step": 5408 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 0.7454, "step": 5409 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 1.0316, "step": 5410 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 0.866, "step": 5411 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 0.6649, "step": 5412 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 0.8027, "step": 5413 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 0.9439, "step": 5414 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 0.8822, "step": 5415 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 0.9166, "step": 5416 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 0.8445, "step": 5417 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 0.9568, "step": 5418 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 0.843, "step": 5419 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 0.8822, "step": 5420 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 0.8643, "step": 5421 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 0.9268, "step": 5422 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 0.9536, "step": 5423 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 0.9664, "step": 5424 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 0.7749, "step": 5425 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 1.0285, "step": 5426 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 0.9658, "step": 5427 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 1.0421, "step": 5428 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 0.9201, "step": 5429 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 1.1534, "step": 5430 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 1.2216, "step": 5431 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 0.8525, "step": 5432 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 1.1161, "step": 5433 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 0.8904, "step": 5434 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 0.79, "step": 5435 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 0.9762, "step": 5436 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 1.019, "step": 5437 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 0.8967, "step": 5438 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 0.7437, "step": 5439 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 0.9244, "step": 5440 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 0.6847, "step": 5441 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 0.9976, "step": 5442 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 0.7553, "step": 5443 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 1.5262, "step": 5444 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 0.9644, "step": 5445 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 1.225, "step": 5446 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 1.2055, "step": 5447 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 1.0227, "step": 5448 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 1.0546, "step": 5449 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 0.9556, "step": 5450 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 0.7301, "step": 5451 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 1.0095, "step": 5452 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 1.0712, "step": 5453 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 0.653, "step": 5454 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 0.9329, "step": 5455 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 1.0334, "step": 5456 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 0.8138, "step": 5457 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 0.8184, "step": 5458 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 0.7998, "step": 5459 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 1.0008, "step": 5460 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 1.0357, "step": 5461 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 0.6731, "step": 5462 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 0.7196, "step": 5463 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 0.9135, "step": 5464 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 0.9028, "step": 5465 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 1.0334, "step": 5466 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 0.8041, "step": 5467 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 0.8749, "step": 5468 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 0.7947, "step": 5469 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 0.74, "step": 5470 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 1.131, "step": 5471 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 1.0606, "step": 5472 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 0.8132, "step": 5473 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 0.8936, "step": 5474 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 0.6225, "step": 5475 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 0.8118, "step": 5476 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 0.9868, "step": 5477 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 1.1023, "step": 5478 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 0.9974, "step": 5479 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 0.8349, "step": 5480 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 0.6864, "step": 5481 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 0.812, "step": 5482 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 0.9466, "step": 5483 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 0.7977, "step": 5484 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 0.7447, "step": 5485 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 1.0975, "step": 5486 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 1.0649, "step": 5487 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 0.7796, "step": 5488 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 1.0314, "step": 5489 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 0.7512, "step": 5490 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 1.2222, "step": 5491 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 0.7137, "step": 5492 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 1.032, "step": 5493 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 0.7176, "step": 5494 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 0.8251, "step": 5495 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 0.9602, "step": 5496 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 0.6952, "step": 5497 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 1.0, "step": 5498 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 0.7939, "step": 5499 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 0.5862, "step": 5500 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 1.1078, "step": 5501 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 0.6993, "step": 5502 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 0.8493, "step": 5503 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 0.798, "step": 5504 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 0.6449, "step": 5505 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 0.9322, "step": 5506 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 0.8069, "step": 5507 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 1.1131, "step": 5508 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 0.8126, "step": 5509 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 0.9157, "step": 5510 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 0.9374, "step": 5511 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 0.9207, "step": 5512 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 0.804, "step": 5513 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 0.9075, "step": 5514 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 0.9772, "step": 5515 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 0.8494, "step": 5516 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 0.8972, "step": 5517 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 0.6452, "step": 5518 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 0.7281, "step": 5519 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 0.6281, "step": 5520 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 0.9184, "step": 5521 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 0.8595, "step": 5522 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 0.988, "step": 5523 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 0.9563, "step": 5524 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 1.0434, "step": 5525 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 0.7067, "step": 5526 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 0.8134, "step": 5527 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 1.0929, "step": 5528 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 0.8541, "step": 5529 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 0.7603, "step": 5530 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 0.9106, "step": 5531 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 0.9502, "step": 5532 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 0.9631, "step": 5533 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 1.0535, "step": 5534 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 1.1496, "step": 5535 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 0.8917, "step": 5536 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 0.9789, "step": 5537 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 1.0151, "step": 5538 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 0.8801, "step": 5539 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 1.065, "step": 5540 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 0.9805, "step": 5541 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 0.7482, "step": 5542 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 1.1198, "step": 5543 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 1.0194, "step": 5544 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 1.2622, "step": 5545 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 1.2221, "step": 5546 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 0.9837, "step": 5547 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 0.9266, "step": 5548 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 1.0247, "step": 5549 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 0.9495, "step": 5550 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 0.933, "step": 5551 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 0.7256, "step": 5552 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 0.9001, "step": 5553 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 0.9066, "step": 5554 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 0.7797, "step": 5555 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 1.0462, "step": 5556 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 0.5047, "step": 5557 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 0.8979, "step": 5558 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 0.8322, "step": 5559 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 1.0304, "step": 5560 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 1.0288, "step": 5561 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 0.8514, "step": 5562 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 0.8534, "step": 5563 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 1.092, "step": 5564 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 1.124, "step": 5565 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 0.9663, "step": 5566 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 1.0689, "step": 5567 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.9804, "step": 5568 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.8503, "step": 5569 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.7541, "step": 5570 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.95, "step": 5571 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.899, "step": 5572 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 1.0553, "step": 5573 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 1.076, "step": 5574 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.9199, "step": 5575 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.705, "step": 5576 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 1.1743, "step": 5577 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.7637, "step": 5578 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.9251, "step": 5579 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.9423, "step": 5580 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.903, "step": 5581 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.9422, "step": 5582 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.8384, "step": 5583 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 1.0713, "step": 5584 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.8936, "step": 5585 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.888, "step": 5586 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.9323, "step": 5587 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.8578, "step": 5588 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.8434, "step": 5589 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 1.0585, "step": 5590 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.9128, "step": 5591 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.9895, "step": 5592 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.9204, "step": 5593 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.9861, "step": 5594 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 1.0052, "step": 5595 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.6961, "step": 5596 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.84, "step": 5597 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.9778, "step": 5598 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.8318, "step": 5599 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.7703, "step": 5600 }, { "epoch": 0.97, "eval_loss": 0.8917251229286194, "eval_runtime": 110.3518, "eval_samples_per_second": 9.062, "eval_steps_per_second": 4.531, "step": 5600 }, { "epoch": 0.97, "mmlu_eval_accuracy": 0.5117759330024678, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.35714285714285715, "mmlu_eval_accuracy_astronomy": 0.6875, "mmlu_eval_accuracy_business_ethics": 0.2727272727272727, "mmlu_eval_accuracy_clinical_knowledge": 0.5172413793103449, "mmlu_eval_accuracy_college_biology": 0.5, "mmlu_eval_accuracy_college_chemistry": 0.375, "mmlu_eval_accuracy_college_computer_science": 0.2727272727272727, "mmlu_eval_accuracy_college_mathematics": 0.0, "mmlu_eval_accuracy_college_medicine": 0.5454545454545454, "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": 0.25, "mmlu_eval_accuracy_electrical_engineering": 0.4375, "mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637, "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, "mmlu_eval_accuracy_global_facts": 0.4, "mmlu_eval_accuracy_high_school_biology": 0.53125, "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182, "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, "mmlu_eval_accuracy_high_school_european_history": 0.6666666666666666, "mmlu_eval_accuracy_high_school_geography": 0.6818181818181818, "mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191, "mmlu_eval_accuracy_high_school_macroeconomics": 0.5116279069767442, "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, "mmlu_eval_accuracy_high_school_microeconomics": 0.5384615384615384, "mmlu_eval_accuracy_high_school_physics": 0.058823529411764705, "mmlu_eval_accuracy_high_school_psychology": 0.85, "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, "mmlu_eval_accuracy_high_school_us_history": 0.8181818181818182, "mmlu_eval_accuracy_high_school_world_history": 0.7692307692307693, "mmlu_eval_accuracy_human_aging": 0.6956521739130435, "mmlu_eval_accuracy_human_sexuality": 0.5, "mmlu_eval_accuracy_international_law": 0.7692307692307693, "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": 0.84, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.686046511627907, "mmlu_eval_accuracy_moral_disputes": 0.42105263157894735, "mmlu_eval_accuracy_moral_scenarios": 0.32, "mmlu_eval_accuracy_nutrition": 0.5454545454545454, "mmlu_eval_accuracy_philosophy": 0.6764705882352942, "mmlu_eval_accuracy_prehistory": 0.6571428571428571, "mmlu_eval_accuracy_professional_accounting": 0.3225806451612903, "mmlu_eval_accuracy_professional_law": 0.35294117647058826, "mmlu_eval_accuracy_professional_medicine": 0.6451612903225806, "mmlu_eval_accuracy_professional_psychology": 0.5217391304347826, "mmlu_eval_accuracy_public_relations": 0.4166666666666667, "mmlu_eval_accuracy_security_studies": 0.48148148148148145, "mmlu_eval_accuracy_sociology": 0.7272727272727273, "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, "mmlu_eval_accuracy_virology": 0.5, "mmlu_eval_accuracy_world_religions": 0.631578947368421, "mmlu_loss": 1.3094718662472369, "step": 5600 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.9714, "step": 5601 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 1.2264, "step": 5602 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.8887, "step": 5603 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.9363, "step": 5604 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.9805, "step": 5605 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.899, "step": 5606 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.9271, "step": 5607 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.6907, "step": 5608 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.9672, "step": 5609 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.5606, "step": 5610 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.7763, "step": 5611 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.9886, "step": 5612 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 1.0223, "step": 5613 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.9328, "step": 5614 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.8341, "step": 5615 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.9725, "step": 5616 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.8371, "step": 5617 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 1.0029, "step": 5618 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.7887, "step": 5619 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.8211, "step": 5620 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.8503, "step": 5621 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 1.0131, "step": 5622 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.7535, "step": 5623 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.9315, "step": 5624 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.9151, "step": 5625 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 0.7202, "step": 5626 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 1.1703, "step": 5627 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 0.9018, "step": 5628 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 0.8626, "step": 5629 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 0.5755, "step": 5630 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 0.7853, "step": 5631 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 0.8443, "step": 5632 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 1.1223, "step": 5633 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 1.0374, "step": 5634 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 0.8518, "step": 5635 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 0.6792, "step": 5636 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 0.8455, "step": 5637 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 0.8146, "step": 5638 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 1.0195, "step": 5639 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 1.1186, "step": 5640 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 0.8453, "step": 5641 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 0.5338, "step": 5642 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 0.8563, "step": 5643 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 0.8792, "step": 5644 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 0.9649, "step": 5645 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 0.9147, "step": 5646 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 1.1121, "step": 5647 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 1.0382, "step": 5648 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 1.1274, "step": 5649 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 0.8642, "step": 5650 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 0.8841, "step": 5651 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 0.8012, "step": 5652 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 0.9467, "step": 5653 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 1.2299, "step": 5654 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 0.9737, "step": 5655 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 0.8671, "step": 5656 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 0.9248, "step": 5657 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 0.9659, "step": 5658 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 1.707, "step": 5659 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 0.9918, "step": 5660 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 1.1397, "step": 5661 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 0.8789, "step": 5662 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 1.0659, "step": 5663 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 0.9545, "step": 5664 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 0.5335, "step": 5665 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 1.0697, "step": 5666 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 0.7666, "step": 5667 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 0.8163, "step": 5668 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 0.9484, "step": 5669 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 0.8791, "step": 5670 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 1.1731, "step": 5671 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 0.8003, "step": 5672 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 0.7304, "step": 5673 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 0.853, "step": 5674 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 0.8324, "step": 5675 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 1.0251, "step": 5676 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 0.7862, "step": 5677 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 0.8499, "step": 5678 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 1.1444, "step": 5679 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 0.9201, "step": 5680 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 0.4877, "step": 5681 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 0.9781, "step": 5682 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 0.9638, "step": 5683 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 0.8541, "step": 5684 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 0.8526, "step": 5685 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 0.869, "step": 5686 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 0.7638, "step": 5687 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 0.901, "step": 5688 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 0.8744, "step": 5689 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 0.9353, "step": 5690 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 0.9905, "step": 5691 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 0.9492, "step": 5692 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 0.9503, "step": 5693 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 0.6226, "step": 5694 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 1.1288, "step": 5695 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 0.9282, "step": 5696 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 0.9666, "step": 5697 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 1.1054, "step": 5698 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 0.6594, "step": 5699 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 0.8256, "step": 5700 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 1.021, "step": 5701 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 0.8311, "step": 5702 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 0.5712, "step": 5703 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 0.7304, "step": 5704 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 1.0337, "step": 5705 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 0.9466, "step": 5706 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 1.1062, "step": 5707 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 0.9133, "step": 5708 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 1.004, "step": 5709 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 1.2744, "step": 5710 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 0.9194, "step": 5711 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 0.9478, "step": 5712 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 0.9092, "step": 5713 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 1.05, "step": 5714 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 0.9094, "step": 5715 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 0.8752, "step": 5716 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 0.9199, "step": 5717 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 0.5598, "step": 5718 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 0.9996, "step": 5719 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 0.947, "step": 5720 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 0.9391, "step": 5721 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 1.0179, "step": 5722 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 1.1399, "step": 5723 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 1.0776, "step": 5724 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 0.9522, "step": 5725 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 0.9019, "step": 5726 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 0.9289, "step": 5727 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 0.8298, "step": 5728 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 1.0063, "step": 5729 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 0.741, "step": 5730 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 0.7548, "step": 5731 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 1.0092, "step": 5732 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 0.9727, "step": 5733 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 1.0711, "step": 5734 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 0.6464, "step": 5735 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 0.7988, "step": 5736 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 0.9427, "step": 5737 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 1.1216, "step": 5738 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 1.0606, "step": 5739 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 1.0034, "step": 5740 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 1.1402, "step": 5741 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 1.1388, "step": 5742 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 1.0905, "step": 5743 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.6276, "step": 5744 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.6787, "step": 5745 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.931, "step": 5746 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.9581, "step": 5747 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.7335, "step": 5748 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.7031, "step": 5749 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.8751, "step": 5750 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.9897, "step": 5751 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.9603, "step": 5752 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.9638, "step": 5753 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.8694, "step": 5754 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 1.0866, "step": 5755 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.8275, "step": 5756 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 1.2518, "step": 5757 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.8418, "step": 5758 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 1.011, "step": 5759 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.9342, "step": 5760 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.8409, "step": 5761 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.8957, "step": 5762 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.9783, "step": 5763 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.7863, "step": 5764 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.8619, "step": 5765 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.5858, "step": 5766 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.9126, "step": 5767 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.5072, "step": 5768 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.9363, "step": 5769 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.7034, "step": 5770 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.8318, "step": 5771 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.8779, "step": 5772 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.7038, "step": 5773 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.883, "step": 5774 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.7749, "step": 5775 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.6231, "step": 5776 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.6077, "step": 5777 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.8911, "step": 5778 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.9796, "step": 5779 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.5624, "step": 5780 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.734, "step": 5781 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.6908, "step": 5782 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.8542, "step": 5783 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.6654, "step": 5784 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.6717, "step": 5785 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.8643, "step": 5786 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 1.0102, "step": 5787 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.6316, "step": 5788 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.6219, "step": 5789 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.7836, "step": 5790 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.7318, "step": 5791 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.7136, "step": 5792 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.5627, "step": 5793 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.9276, "step": 5794 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.7594, "step": 5795 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.974, "step": 5796 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.4826, "step": 5797 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.8877, "step": 5798 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.8251, "step": 5799 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.4326, "step": 5800 }, { "epoch": 1.01, "eval_loss": 0.9009182453155518, "eval_runtime": 110.268, "eval_samples_per_second": 9.069, "eval_steps_per_second": 4.534, "step": 5800 }, { "epoch": 1.01, "mmlu_eval_accuracy": 0.5315214765120829, "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, "mmlu_eval_accuracy_anatomy": 0.5, "mmlu_eval_accuracy_astronomy": 0.6875, "mmlu_eval_accuracy_business_ethics": 0.45454545454545453, "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": 0.18181818181818182, "mmlu_eval_accuracy_college_medicine": 0.5, "mmlu_eval_accuracy_college_physics": 0.5454545454545454, "mmlu_eval_accuracy_computer_security": 0.36363636363636365, "mmlu_eval_accuracy_conceptual_physics": 0.34615384615384615, "mmlu_eval_accuracy_econometrics": 0.4166666666666667, "mmlu_eval_accuracy_electrical_engineering": 0.4375, "mmlu_eval_accuracy_elementary_mathematics": 0.43902439024390244, "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, "mmlu_eval_accuracy_global_facts": 0.4, "mmlu_eval_accuracy_high_school_biology": 0.53125, "mmlu_eval_accuracy_high_school_chemistry": 0.22727272727272727, "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, "mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112, "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, "mmlu_eval_accuracy_high_school_government_and_politics": 0.5714285714285714, "mmlu_eval_accuracy_high_school_macroeconomics": 0.5581395348837209, "mmlu_eval_accuracy_high_school_mathematics": 0.13793103448275862, "mmlu_eval_accuracy_high_school_microeconomics": 0.5, "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, "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": 0.7692307692307693, "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, "mmlu_eval_accuracy_logical_fallacies": 0.7222222222222222, "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, "mmlu_eval_accuracy_management": 0.8181818181818182, "mmlu_eval_accuracy_marketing": 0.8, "mmlu_eval_accuracy_medical_genetics": 0.8181818181818182, "mmlu_eval_accuracy_miscellaneous": 0.686046511627907, "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, "mmlu_eval_accuracy_moral_scenarios": 0.34, "mmlu_eval_accuracy_nutrition": 0.5757575757575758, "mmlu_eval_accuracy_philosophy": 0.6470588235294118, "mmlu_eval_accuracy_prehistory": 0.6571428571428571, "mmlu_eval_accuracy_professional_accounting": 0.2903225806451613, "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": 0.5833333333333334, "mmlu_eval_accuracy_security_studies": 0.4444444444444444, "mmlu_eval_accuracy_sociology": 0.7272727272727273, "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, "mmlu_eval_accuracy_virology": 0.4444444444444444, "mmlu_eval_accuracy_world_religions": 0.6842105263157895, "mmlu_loss": 1.2494180680644107, "step": 5800 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.9848, "step": 5801 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.8916, "step": 5802 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.7663, "step": 5803 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.7084, "step": 5804 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.8401, "step": 5805 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.8987, "step": 5806 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.8155, "step": 5807 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.6309, "step": 5808 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 1.1019, "step": 5809 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.8991, "step": 5810 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.59, "step": 5811 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.8592, "step": 5812 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.6651, "step": 5813 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.792, "step": 5814 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.6713, "step": 5815 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.7074, "step": 5816 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.7882, "step": 5817 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.721, "step": 5818 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.7395, "step": 5819 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.7071, "step": 5820 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.8375, "step": 5821 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.7407, "step": 5822 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.7663, "step": 5823 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.7985, "step": 5824 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.8737, "step": 5825 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.6136, "step": 5826 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.9104, "step": 5827 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.769, "step": 5828 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.699, "step": 5829 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.5306, "step": 5830 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.7325, "step": 5831 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 1.2357, "step": 5832 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.6989, "step": 5833 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.7906, "step": 5834 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 1.0079, "step": 5835 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.7919, "step": 5836 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.9685, "step": 5837 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.7764, "step": 5838 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.8551, "step": 5839 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.7877, "step": 5840 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.781, "step": 5841 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.8865, "step": 5842 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.5326, "step": 5843 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.6733, "step": 5844 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.7787, "step": 5845 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.801, "step": 5846 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.812, "step": 5847 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.8006, "step": 5848 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.7645, "step": 5849 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.7099, "step": 5850 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.7325, "step": 5851 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.6797, "step": 5852 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.8145, "step": 5853 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.8834, "step": 5854 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 0.7072, "step": 5855 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.8803, "step": 5856 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.6803, "step": 5857 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.4269, "step": 5858 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.7657, "step": 5859 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.8856, "step": 5860 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.8049, "step": 5861 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.803, "step": 5862 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.5439, "step": 5863 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.742, "step": 5864 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 1.0275, "step": 5865 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.8773, "step": 5866 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.6892, "step": 5867 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.8833, "step": 5868 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.724, "step": 5869 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.7956, "step": 5870 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.6005, "step": 5871 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.799, "step": 5872 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.7439, "step": 5873 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.7608, "step": 5874 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.8975, "step": 5875 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.6917, "step": 5876 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.4497, "step": 5877 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.8866, "step": 5878 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.8214, "step": 5879 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.7748, "step": 5880 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 1.0118, "step": 5881 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.5829, "step": 5882 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.7937, "step": 5883 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.5781, "step": 5884 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.7668, "step": 5885 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.7851, "step": 5886 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.8947, "step": 5887 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.9139, "step": 5888 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.7677, "step": 5889 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.6947, "step": 5890 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 1.005, "step": 5891 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.855, "step": 5892 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.63, "step": 5893 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.9615, "step": 5894 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.9066, "step": 5895 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 1.011, "step": 5896 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.7148, "step": 5897 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.754, "step": 5898 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.8525, "step": 5899 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.6404, "step": 5900 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.8397, "step": 5901 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.6724, "step": 5902 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 1.1831, "step": 5903 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.7308, "step": 5904 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.6983, "step": 5905 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.6824, "step": 5906 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.5702, "step": 5907 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.794, "step": 5908 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.7127, "step": 5909 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.6761, "step": 5910 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.7644, "step": 5911 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.5653, "step": 5912 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.8412, "step": 5913 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.7362, "step": 5914 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.7968, "step": 5915 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.5333, "step": 5916 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.8497, "step": 5917 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.7618, "step": 5918 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.6764, "step": 5919 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.5773, "step": 5920 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.9407, "step": 5921 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.6528, "step": 5922 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.8788, "step": 5923 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.7139, "step": 5924 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.7886, "step": 5925 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.6784, "step": 5926 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.7222, "step": 5927 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 1.1153, "step": 5928 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.7761, "step": 5929 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.6055, "step": 5930 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.7048, "step": 5931 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.828, "step": 5932 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.7874, "step": 5933 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.8326, "step": 5934 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.9924, "step": 5935 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.6549, "step": 5936 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.7916, "step": 5937 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.5599, "step": 5938 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.7211, "step": 5939 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.8645, "step": 5940 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.6887, "step": 5941 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.4628, "step": 5942 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.7812, "step": 5943 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.7607, "step": 5944 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.5672, "step": 5945 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.788, "step": 5946 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.8801, "step": 5947 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.7784, "step": 5948 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.9345, "step": 5949 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.5841, "step": 5950 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.8868, "step": 5951 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.8083, "step": 5952 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.9841, "step": 5953 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.5975, "step": 5954 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.3559, "step": 5955 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.718, "step": 5956 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.8982, "step": 5957 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.5805, "step": 5958 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.3659, "step": 5959 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.7829, "step": 5960 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.8412, "step": 5961 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.8818, "step": 5962 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.8061, "step": 5963 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.7671, "step": 5964 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.7774, "step": 5965 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.8445, "step": 5966 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.876, "step": 5967 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.6698, "step": 5968 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.7162, "step": 5969 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.6243, "step": 5970 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 0.7153, "step": 5971 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.7112, "step": 5972 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.8898, "step": 5973 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.8951, "step": 5974 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.6465, "step": 5975 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.5444, "step": 5976 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.7932, "step": 5977 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.8821, "step": 5978 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.7867, "step": 5979 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.7051, "step": 5980 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.924, "step": 5981 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.4181, "step": 5982 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.7881, "step": 5983 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.6679, "step": 5984 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.4873, "step": 5985 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.5531, "step": 5986 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.9584, "step": 5987 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.6471, "step": 5988 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.6196, "step": 5989 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.9169, "step": 5990 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.7799, "step": 5991 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.6908, "step": 5992 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.6258, "step": 5993 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.8033, "step": 5994 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.6488, "step": 5995 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.707, "step": 5996 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.6404, "step": 5997 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.779, "step": 5998 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.6863, "step": 5999 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.5464, "step": 6000 }, { "epoch": 1.04, "eval_loss": 0.9055065512657166, "eval_runtime": 110.2819, "eval_samples_per_second": 9.068, "eval_steps_per_second": 4.534, "step": 6000 }, { "epoch": 1.04, "mmlu_eval_accuracy": 0.5419261059082009, "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, "mmlu_eval_accuracy_anatomy": 0.6428571428571429, "mmlu_eval_accuracy_astronomy": 0.6875, "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, "mmlu_eval_accuracy_clinical_knowledge": 0.6551724137931034, "mmlu_eval_accuracy_college_biology": 0.5, "mmlu_eval_accuracy_college_chemistry": 0.25, "mmlu_eval_accuracy_college_computer_science": 0.2727272727272727, "mmlu_eval_accuracy_college_mathematics": 0.36363636363636365, "mmlu_eval_accuracy_college_medicine": 0.5, "mmlu_eval_accuracy_college_physics": 0.45454545454545453, "mmlu_eval_accuracy_computer_security": 0.36363636363636365, "mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464, "mmlu_eval_accuracy_econometrics": 0.4166666666666667, "mmlu_eval_accuracy_electrical_engineering": 0.4375, "mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244, "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, "mmlu_eval_accuracy_global_facts": 0.3, "mmlu_eval_accuracy_high_school_biology": 0.5, "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182, "mmlu_eval_accuracy_high_school_computer_science": 0.4444444444444444, "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": 0.6190476190476191, "mmlu_eval_accuracy_high_school_macroeconomics": 0.5581395348837209, "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, "mmlu_eval_accuracy_high_school_microeconomics": 0.5, "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, "mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334, "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, "mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307, "mmlu_eval_accuracy_human_aging": 0.782608695652174, "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": 0.5454545454545454, "mmlu_eval_accuracy_management": 0.8181818181818182, "mmlu_eval_accuracy_marketing": 0.8, "mmlu_eval_accuracy_medical_genetics": 0.8181818181818182, "mmlu_eval_accuracy_miscellaneous": 0.6744186046511628, "mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, "mmlu_eval_accuracy_moral_scenarios": 0.4, "mmlu_eval_accuracy_nutrition": 0.5757575757575758, "mmlu_eval_accuracy_philosophy": 0.7352941176470589, "mmlu_eval_accuracy_prehistory": 0.6285714285714286, "mmlu_eval_accuracy_professional_accounting": 0.3548387096774194, "mmlu_eval_accuracy_professional_law": 0.35294117647058826, "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": 0.4074074074074074, "mmlu_eval_accuracy_sociology": 0.7727272727272727, "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, "mmlu_eval_accuracy_virology": 0.5555555555555556, "mmlu_eval_accuracy_world_religions": 0.631578947368421, "mmlu_loss": 1.3990495629005582, "step": 6000 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.8253, "step": 6001 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.8535, "step": 6002 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 1.0164, "step": 6003 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.5035, "step": 6004 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.781, "step": 6005 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.8073, "step": 6006 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.6427, "step": 6007 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.7663, "step": 6008 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.902, "step": 6009 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.866, "step": 6010 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.7285, "step": 6011 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.7745, "step": 6012 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.696, "step": 6013 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.5684, "step": 6014 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.8213, "step": 6015 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.7093, "step": 6016 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.852, "step": 6017 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.6068, "step": 6018 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.9835, "step": 6019 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.8822, "step": 6020 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.9561, "step": 6021 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.7565, "step": 6022 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.3458, "step": 6023 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.7632, "step": 6024 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.6221, "step": 6025 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.7917, "step": 6026 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.6973, "step": 6027 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.736, "step": 6028 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.5919, "step": 6029 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.8555, "step": 6030 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.6066, "step": 6031 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.9813, "step": 6032 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.8013, "step": 6033 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.6547, "step": 6034 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.474, "step": 6035 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.4473, "step": 6036 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.9094, "step": 6037 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.8177, "step": 6038 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.7116, "step": 6039 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.8535, "step": 6040 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.752, "step": 6041 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.9145, "step": 6042 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.7092, "step": 6043 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.6946, "step": 6044 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.7328, "step": 6045 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.8129, "step": 6046 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.4627, "step": 6047 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.5658, "step": 6048 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 1.0308, "step": 6049 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.9544, "step": 6050 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.6379, "step": 6051 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.5416, "step": 6052 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.7303, "step": 6053 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.6813, "step": 6054 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.8354, "step": 6055 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.8467, "step": 6056 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.8525, "step": 6057 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 1.0025, "step": 6058 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.8203, "step": 6059 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.6448, "step": 6060 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.5191, "step": 6061 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.6644, "step": 6062 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.7684, "step": 6063 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.7011, "step": 6064 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.8784, "step": 6065 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.7611, "step": 6066 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 1.0632, "step": 6067 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 1.1792, "step": 6068 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.6925, "step": 6069 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.7152, "step": 6070 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.8454, "step": 6071 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.7411, "step": 6072 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.4983, "step": 6073 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.7602, "step": 6074 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.8048, "step": 6075 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.9329, "step": 6076 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.6917, "step": 6077 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.7496, "step": 6078 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.5102, "step": 6079 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.8544, "step": 6080 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.7493, "step": 6081 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.6626, "step": 6082 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.9165, "step": 6083 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.9248, "step": 6084 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.7158, "step": 6085 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.6432, "step": 6086 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.7117, "step": 6087 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.7374, "step": 6088 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.812, "step": 6089 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.9731, "step": 6090 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.8783, "step": 6091 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.8483, "step": 6092 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.582, "step": 6093 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.7765, "step": 6094 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.7353, "step": 6095 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.6341, "step": 6096 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.3674, "step": 6097 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.5628, "step": 6098 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.8091, "step": 6099 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.4947, "step": 6100 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.8179, "step": 6101 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.6675, "step": 6102 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.7694, "step": 6103 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.6176, "step": 6104 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.7413, "step": 6105 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.7577, "step": 6106 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.7755, "step": 6107 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.759, "step": 6108 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.7947, "step": 6109 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 1.0679, "step": 6110 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.7093, "step": 6111 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.9664, "step": 6112 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.7246, "step": 6113 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.6445, "step": 6114 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.6249, "step": 6115 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.716, "step": 6116 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.8893, "step": 6117 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.9247, "step": 6118 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.7333, "step": 6119 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.8398, "step": 6120 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.6026, "step": 6121 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.9379, "step": 6122 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.7529, "step": 6123 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.8379, "step": 6124 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.9715, "step": 6125 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.8303, "step": 6126 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.7885, "step": 6127 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.7215, "step": 6128 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.4518, "step": 6129 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.7366, "step": 6130 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.8948, "step": 6131 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.7673, "step": 6132 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.9025, "step": 6133 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 1.0081, "step": 6134 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.6669, "step": 6135 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.8313, "step": 6136 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.7174, "step": 6137 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.7717, "step": 6138 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.7702, "step": 6139 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.5754, "step": 6140 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.9227, "step": 6141 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.8163, "step": 6142 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.6548, "step": 6143 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 0.6892, "step": 6144 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.8668, "step": 6145 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.9253, "step": 6146 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.4151, "step": 6147 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.9071, "step": 6148 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.8237, "step": 6149 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.9044, "step": 6150 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.8822, "step": 6151 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.8912, "step": 6152 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.7506, "step": 6153 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.7296, "step": 6154 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.9085, "step": 6155 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.8809, "step": 6156 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.7659, "step": 6157 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.585, "step": 6158 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.642, "step": 6159 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.6981, "step": 6160 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.8482, "step": 6161 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.7262, "step": 6162 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 1.0235, "step": 6163 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.994, "step": 6164 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.9287, "step": 6165 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.7633, "step": 6166 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.7035, "step": 6167 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.5213, "step": 6168 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.7056, "step": 6169 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.8701, "step": 6170 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.6938, "step": 6171 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.6875, "step": 6172 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.6384, "step": 6173 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.6142, "step": 6174 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.5021, "step": 6175 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 1.1208, "step": 6176 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 1.0364, "step": 6177 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.7628, "step": 6178 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.998, "step": 6179 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.8829, "step": 6180 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.848, "step": 6181 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.6039, "step": 6182 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.688, "step": 6183 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.7784, "step": 6184 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.8064, "step": 6185 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.7301, "step": 6186 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.762, "step": 6187 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.8823, "step": 6188 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.6364, "step": 6189 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.8698, "step": 6190 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.2774, "step": 6191 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.637, "step": 6192 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.4579, "step": 6193 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.9371, "step": 6194 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.9428, "step": 6195 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 1.1167, "step": 6196 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.8385, "step": 6197 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.5749, "step": 6198 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.8668, "step": 6199 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.7302, "step": 6200 }, { "epoch": 1.07, "eval_loss": 0.9152551293373108, "eval_runtime": 110.3782, "eval_samples_per_second": 9.06, "eval_steps_per_second": 4.53, "step": 6200 }, { "epoch": 1.07, "mmlu_eval_accuracy": 0.5149834111707702, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.5714285714285714, "mmlu_eval_accuracy_astronomy": 0.5, "mmlu_eval_accuracy_business_ethics": 0.7272727272727273, "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": 0.2727272727272727, "mmlu_eval_accuracy_college_medicine": 0.45454545454545453, "mmlu_eval_accuracy_college_physics": 0.45454545454545453, "mmlu_eval_accuracy_computer_security": 0.36363636363636365, "mmlu_eval_accuracy_conceptual_physics": 0.2692307692307692, "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": 0.2857142857142857, "mmlu_eval_accuracy_global_facts": 0.3, "mmlu_eval_accuracy_high_school_biology": 0.53125, "mmlu_eval_accuracy_high_school_chemistry": 0.22727272727272727, "mmlu_eval_accuracy_high_school_computer_science": 0.4444444444444444, "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": 0.5581395348837209, "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, "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": 0.6153846153846154, "mmlu_eval_accuracy_human_aging": 0.7391304347826086, "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, "mmlu_eval_accuracy_international_law": 0.7692307692307693, "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, "mmlu_eval_accuracy_management": 0.8181818181818182, "mmlu_eval_accuracy_marketing": 0.76, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.6976744186046512, "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, "mmlu_eval_accuracy_moral_scenarios": 0.38, "mmlu_eval_accuracy_nutrition": 0.5151515151515151, "mmlu_eval_accuracy_philosophy": 0.5294117647058824, "mmlu_eval_accuracy_prehistory": 0.6, "mmlu_eval_accuracy_professional_accounting": 0.3548387096774194, "mmlu_eval_accuracy_professional_law": 0.31176470588235294, "mmlu_eval_accuracy_professional_medicine": 0.5483870967741935, "mmlu_eval_accuracy_professional_psychology": 0.5942028985507246, "mmlu_eval_accuracy_public_relations": 0.5, "mmlu_eval_accuracy_security_studies": 0.5185185185185185, "mmlu_eval_accuracy_sociology": 0.5454545454545454, "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, "mmlu_eval_accuracy_virology": 0.5, "mmlu_eval_accuracy_world_religions": 0.631578947368421, "mmlu_loss": 1.3140809277641556, "step": 6200 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.9657, "step": 6201 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 1.0129, "step": 6202 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.7519, "step": 6203 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.7878, "step": 6204 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.7519, "step": 6205 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.7979, "step": 6206 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.9235, "step": 6207 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.76, "step": 6208 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.7936, "step": 6209 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.8357, "step": 6210 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.5053, "step": 6211 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.8968, "step": 6212 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.6901, "step": 6213 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.5111, "step": 6214 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.9699, "step": 6215 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.8175, "step": 6216 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.7621, "step": 6217 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.6866, "step": 6218 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.7267, "step": 6219 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.6874, "step": 6220 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.7967, "step": 6221 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.7374, "step": 6222 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.8271, "step": 6223 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.7433, "step": 6224 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.8613, "step": 6225 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.6743, "step": 6226 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.6925, "step": 6227 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.7691, "step": 6228 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.6238, "step": 6229 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 1.0531, "step": 6230 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.9638, "step": 6231 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.6375, "step": 6232 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.6314, "step": 6233 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.8101, "step": 6234 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.9333, "step": 6235 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.8469, "step": 6236 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.7931, "step": 6237 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.7236, "step": 6238 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.8692, "step": 6239 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.7326, "step": 6240 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.9279, "step": 6241 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.8613, "step": 6242 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.8189, "step": 6243 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.6669, "step": 6244 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.8107, "step": 6245 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.6794, "step": 6246 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.8492, "step": 6247 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.7473, "step": 6248 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.6375, "step": 6249 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.7591, "step": 6250 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.7611, "step": 6251 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.8766, "step": 6252 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.6377, "step": 6253 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.7661, "step": 6254 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.8986, "step": 6255 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.7512, "step": 6256 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.5989, "step": 6257 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.7041, "step": 6258 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 0.6922, "step": 6259 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.6605, "step": 6260 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.5524, "step": 6261 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.7762, "step": 6262 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.7648, "step": 6263 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.6765, "step": 6264 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.7318, "step": 6265 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.6473, "step": 6266 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.8858, "step": 6267 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.8141, "step": 6268 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.981, "step": 6269 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.7991, "step": 6270 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.9024, "step": 6271 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.8668, "step": 6272 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 1.2307, "step": 6273 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.7858, "step": 6274 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.6622, "step": 6275 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.8441, "step": 6276 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.9515, "step": 6277 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 1.0271, "step": 6278 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.8181, "step": 6279 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.9339, "step": 6280 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.5514, "step": 6281 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.6667, "step": 6282 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.7606, "step": 6283 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.7156, "step": 6284 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.5352, "step": 6285 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.6809, "step": 6286 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.5833, "step": 6287 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.8323, "step": 6288 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.7493, "step": 6289 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.6611, "step": 6290 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.7687, "step": 6291 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.7137, "step": 6292 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.8048, "step": 6293 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.6168, "step": 6294 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.5067, "step": 6295 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.5744, "step": 6296 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.9035, "step": 6297 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.8746, "step": 6298 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.4091, "step": 6299 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.8338, "step": 6300 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 1.0206, "step": 6301 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.5529, "step": 6302 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.8393, "step": 6303 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.6969, "step": 6304 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.8269, "step": 6305 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.8612, "step": 6306 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.8384, "step": 6307 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.7899, "step": 6308 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.587, "step": 6309 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.7515, "step": 6310 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.6736, "step": 6311 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.5082, "step": 6312 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.6279, "step": 6313 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.8419, "step": 6314 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.6493, "step": 6315 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.7873, "step": 6316 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.9226, "step": 6317 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 1.0136, "step": 6318 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.7355, "step": 6319 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.7146, "step": 6320 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.6419, "step": 6321 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.625, "step": 6322 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.4949, "step": 6323 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.5954, "step": 6324 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.9707, "step": 6325 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.7938, "step": 6326 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.87, "step": 6327 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.7517, "step": 6328 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.8959, "step": 6329 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.7559, "step": 6330 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.6462, "step": 6331 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 1.1773, "step": 6332 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.9809, "step": 6333 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.686, "step": 6334 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.6726, "step": 6335 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.7187, "step": 6336 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.6456, "step": 6337 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.819, "step": 6338 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 1.0784, "step": 6339 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.8275, "step": 6340 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.7587, "step": 6341 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.7938, "step": 6342 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.6182, "step": 6343 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.5623, "step": 6344 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.9842, "step": 6345 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.9067, "step": 6346 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.8185, "step": 6347 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.8617, "step": 6348 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.7218, "step": 6349 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.6896, "step": 6350 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.5053, "step": 6351 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.8716, "step": 6352 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.5962, "step": 6353 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.6153, "step": 6354 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.7109, "step": 6355 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.623, "step": 6356 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.9326, "step": 6357 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.9757, "step": 6358 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.6858, "step": 6359 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.8067, "step": 6360 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.6609, "step": 6361 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.5805, "step": 6362 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.8189, "step": 6363 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.7685, "step": 6364 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 1.0025, "step": 6365 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.6885, "step": 6366 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.6663, "step": 6367 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.6811, "step": 6368 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.7697, "step": 6369 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.9283, "step": 6370 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 1.0258, "step": 6371 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.7729, "step": 6372 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.8655, "step": 6373 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.6614, "step": 6374 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.7234, "step": 6375 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.8681, "step": 6376 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.8683, "step": 6377 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.7856, "step": 6378 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.8541, "step": 6379 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.9674, "step": 6380 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.7698, "step": 6381 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.7193, "step": 6382 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.9666, "step": 6383 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.8613, "step": 6384 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.6156, "step": 6385 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 1.0848, "step": 6386 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.7847, "step": 6387 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.7724, "step": 6388 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.6023, "step": 6389 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.7775, "step": 6390 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.5397, "step": 6391 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.696, "step": 6392 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.7498, "step": 6393 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.7428, "step": 6394 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.5857, "step": 6395 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.6715, "step": 6396 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.7742, "step": 6397 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.5097, "step": 6398 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.7402, "step": 6399 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.6966, "step": 6400 }, { "epoch": 1.11, "eval_loss": 0.9109730124473572, "eval_runtime": 110.1563, "eval_samples_per_second": 9.078, "eval_steps_per_second": 4.539, "step": 6400 }, { "epoch": 1.11, "mmlu_eval_accuracy": 0.5160358328598926, "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, "mmlu_eval_accuracy_anatomy": 0.6428571428571429, "mmlu_eval_accuracy_astronomy": 0.5, "mmlu_eval_accuracy_business_ethics": 0.36363636363636365, "mmlu_eval_accuracy_clinical_knowledge": 0.6206896551724138, "mmlu_eval_accuracy_college_biology": 0.5625, "mmlu_eval_accuracy_college_chemistry": 0.125, "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365, "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727, "mmlu_eval_accuracy_college_medicine": 0.5, "mmlu_eval_accuracy_college_physics": 0.36363636363636365, "mmlu_eval_accuracy_computer_security": 0.36363636363636365, "mmlu_eval_accuracy_conceptual_physics": 0.3076923076923077, "mmlu_eval_accuracy_econometrics": 0.4166666666666667, "mmlu_eval_accuracy_electrical_engineering": 0.4375, "mmlu_eval_accuracy_elementary_mathematics": 0.43902439024390244, "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": 0.36363636363636365, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112, "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, "mmlu_eval_accuracy_high_school_macroeconomics": 0.4883720930232558, "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, "mmlu_eval_accuracy_high_school_microeconomics": 0.5, "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, "mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334, "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, "mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307, "mmlu_eval_accuracy_human_aging": 0.6956521739130435, "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": 0.9090909090909091, "mmlu_eval_accuracy_marketing": 0.8, "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, "mmlu_eval_accuracy_miscellaneous": 0.6976744186046512, "mmlu_eval_accuracy_moral_disputes": 0.5, "mmlu_eval_accuracy_moral_scenarios": 0.26, "mmlu_eval_accuracy_nutrition": 0.6363636363636364, "mmlu_eval_accuracy_philosophy": 0.5, "mmlu_eval_accuracy_prehistory": 0.6, "mmlu_eval_accuracy_professional_accounting": 0.3225806451612903, "mmlu_eval_accuracy_professional_law": 0.3588235294117647, "mmlu_eval_accuracy_professional_medicine": 0.5483870967741935, "mmlu_eval_accuracy_professional_psychology": 0.6231884057971014, "mmlu_eval_accuracy_public_relations": 0.4166666666666667, "mmlu_eval_accuracy_security_studies": 0.48148148148148145, "mmlu_eval_accuracy_sociology": 0.6818181818181818, "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, "mmlu_eval_accuracy_virology": 0.5, "mmlu_eval_accuracy_world_religions": 0.631578947368421, "mmlu_loss": 1.4956615460603728, "step": 6400 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.7622, "step": 6401 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.8731, "step": 6402 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.6121, "step": 6403 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.773, "step": 6404 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.6684, "step": 6405 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.575, "step": 6406 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.5695, "step": 6407 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.8345, "step": 6408 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.5938, "step": 6409 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.8208, "step": 6410 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.7988, "step": 6411 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.8287, "step": 6412 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.8151, "step": 6413 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.9077, "step": 6414 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.7324, "step": 6415 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.5181, "step": 6416 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.8745, "step": 6417 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.7348, "step": 6418 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.9163, "step": 6419 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.9545, "step": 6420 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.6016, "step": 6421 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.9415, "step": 6422 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.9506, "step": 6423 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.6966, "step": 6424 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.6985, "step": 6425 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.7825, "step": 6426 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.6678, "step": 6427 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.8479, "step": 6428 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.7583, "step": 6429 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.9153, "step": 6430 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.8098, "step": 6431 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 0.6002, "step": 6432 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.8672, "step": 6433 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.6851, "step": 6434 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.9249, "step": 6435 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.7516, "step": 6436 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.684, "step": 6437 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.7958, "step": 6438 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.8512, "step": 6439 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.6546, "step": 6440 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.83, "step": 6441 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.5479, "step": 6442 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.4954, "step": 6443 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.8611, "step": 6444 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 1.055, "step": 6445 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.8913, "step": 6446 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.5942, "step": 6447 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 1.0273, "step": 6448 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.9252, "step": 6449 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.9208, "step": 6450 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.9215, "step": 6451 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.6119, "step": 6452 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.6369, "step": 6453 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.7509, "step": 6454 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.8674, "step": 6455 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.8258, "step": 6456 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.9881, "step": 6457 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.7274, "step": 6458 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.644, "step": 6459 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.819, "step": 6460 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.7479, "step": 6461 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 1.1183, "step": 6462 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.8376, "step": 6463 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.7213, "step": 6464 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.783, "step": 6465 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.674, "step": 6466 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.7041, "step": 6467 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.8786, "step": 6468 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.7758, "step": 6469 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.7419, "step": 6470 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.8348, "step": 6471 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.7676, "step": 6472 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.9509, "step": 6473 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.7265, "step": 6474 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.8073, "step": 6475 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.5429, "step": 6476 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.9482, "step": 6477 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.6056, "step": 6478 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.5417, "step": 6479 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.8892, "step": 6480 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.7145, "step": 6481 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.6233, "step": 6482 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.8168, "step": 6483 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.838, "step": 6484 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.8904, "step": 6485 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.7233, "step": 6486 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.6608, "step": 6487 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.8893, "step": 6488 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.7964, "step": 6489 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.8544, "step": 6490 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.9655, "step": 6491 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.7928, "step": 6492 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.8335, "step": 6493 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.6864, "step": 6494 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.5934, "step": 6495 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.8357, "step": 6496 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.8298, "step": 6497 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.6964, "step": 6498 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 1.1063, "step": 6499 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 1.1706, "step": 6500 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 1.0224, "step": 6501 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.8921, "step": 6502 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.948, "step": 6503 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.8114, "step": 6504 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.7773, "step": 6505 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.8246, "step": 6506 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.8395, "step": 6507 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.8084, "step": 6508 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.7013, "step": 6509 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.8071, "step": 6510 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.7166, "step": 6511 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.9311, "step": 6512 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.8557, "step": 6513 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.67, "step": 6514 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.8433, "step": 6515 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.847, "step": 6516 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.9686, "step": 6517 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 1.0601, "step": 6518 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.8839, "step": 6519 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.9282, "step": 6520 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.7238, "step": 6521 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.4592, "step": 6522 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.6014, "step": 6523 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 1.038, "step": 6524 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.8465, "step": 6525 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.9834, "step": 6526 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.753, "step": 6527 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.9051, "step": 6528 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.8238, "step": 6529 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.75, "step": 6530 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 1.1049, "step": 6531 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 1.0461, "step": 6532 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.7016, "step": 6533 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.7492, "step": 6534 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.8394, "step": 6535 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.6673, "step": 6536 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.8034, "step": 6537 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.8212, "step": 6538 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.9984, "step": 6539 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.7243, "step": 6540 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.4905, "step": 6541 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.9174, "step": 6542 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.5335, "step": 6543 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.8006, "step": 6544 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.636, "step": 6545 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.8375, "step": 6546 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.6671, "step": 6547 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 0.4565, "step": 6548 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.6853, "step": 6549 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.9003, "step": 6550 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.8152, "step": 6551 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.8297, "step": 6552 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.989, "step": 6553 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.7846, "step": 6554 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.8105, "step": 6555 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.5988, "step": 6556 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.9205, "step": 6557 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.9868, "step": 6558 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.7441, "step": 6559 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.4588, "step": 6560 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.5197, "step": 6561 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.9372, "step": 6562 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.6829, "step": 6563 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.8154, "step": 6564 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.7571, "step": 6565 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.821, "step": 6566 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.7028, "step": 6567 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.7247, "step": 6568 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.6409, "step": 6569 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.87, "step": 6570 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 1.0141, "step": 6571 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.6527, "step": 6572 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.5867, "step": 6573 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.9466, "step": 6574 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.9516, "step": 6575 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.7939, "step": 6576 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.8967, "step": 6577 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.8135, "step": 6578 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.8527, "step": 6579 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 1.0088, "step": 6580 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.6949, "step": 6581 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.8223, "step": 6582 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.7507, "step": 6583 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.6802, "step": 6584 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.7497, "step": 6585 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.5569, "step": 6586 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.6763, "step": 6587 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.782, "step": 6588 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.6293, "step": 6589 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.8604, "step": 6590 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.87, "step": 6591 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.7203, "step": 6592 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.6656, "step": 6593 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.8549, "step": 6594 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.7915, "step": 6595 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.7087, "step": 6596 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.4175, "step": 6597 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.6184, "step": 6598 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.7605, "step": 6599 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 1.0214, "step": 6600 }, { "epoch": 1.14, "eval_loss": 0.9119489789009094, "eval_runtime": 110.24, "eval_samples_per_second": 9.071, "eval_steps_per_second": 4.536, "step": 6600 }, { "epoch": 1.14, "mmlu_eval_accuracy": 0.5108106793627062, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.5714285714285714, "mmlu_eval_accuracy_astronomy": 0.625, "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, "mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241, "mmlu_eval_accuracy_college_biology": 0.5, "mmlu_eval_accuracy_college_chemistry": 0.125, "mmlu_eval_accuracy_college_computer_science": 0.18181818181818182, "mmlu_eval_accuracy_college_mathematics": 0.36363636363636365, "mmlu_eval_accuracy_college_medicine": 0.5454545454545454, "mmlu_eval_accuracy_college_physics": 0.36363636363636365, "mmlu_eval_accuracy_computer_security": 0.36363636363636365, "mmlu_eval_accuracy_conceptual_physics": 0.34615384615384615, "mmlu_eval_accuracy_econometrics": 0.25, "mmlu_eval_accuracy_electrical_engineering": 0.4375, "mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536, "mmlu_eval_accuracy_formal_logic": 0.07142857142857142, "mmlu_eval_accuracy_global_facts": 0.3, "mmlu_eval_accuracy_high_school_biology": 0.53125, "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182, "mmlu_eval_accuracy_high_school_computer_science": 0.4444444444444444, "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": 0.5714285714285714, "mmlu_eval_accuracy_high_school_macroeconomics": 0.5581395348837209, "mmlu_eval_accuracy_high_school_mathematics": 0.3103448275862069, "mmlu_eval_accuracy_high_school_microeconomics": 0.5, "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, "mmlu_eval_accuracy_high_school_psychology": 0.85, "mmlu_eval_accuracy_high_school_statistics": 0.43478260869565216, "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, "mmlu_eval_accuracy_high_school_world_history": 0.6153846153846154, "mmlu_eval_accuracy_human_aging": 0.6956521739130435, "mmlu_eval_accuracy_human_sexuality": 0.3333333333333333, "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": 0.8181818181818182, "mmlu_eval_accuracy_marketing": 0.8, "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, "mmlu_eval_accuracy_miscellaneous": 0.686046511627907, "mmlu_eval_accuracy_moral_disputes": 0.5, "mmlu_eval_accuracy_moral_scenarios": 0.37, "mmlu_eval_accuracy_nutrition": 0.5454545454545454, "mmlu_eval_accuracy_philosophy": 0.5882352941176471, "mmlu_eval_accuracy_prehistory": 0.6, "mmlu_eval_accuracy_professional_accounting": 0.3548387096774194, "mmlu_eval_accuracy_professional_law": 0.3588235294117647, "mmlu_eval_accuracy_professional_medicine": 0.45161290322580644, "mmlu_eval_accuracy_professional_psychology": 0.6086956521739131, "mmlu_eval_accuracy_public_relations": 0.5, "mmlu_eval_accuracy_security_studies": 0.5185185185185185, "mmlu_eval_accuracy_sociology": 0.6363636363636364, "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, "mmlu_eval_accuracy_virology": 0.4444444444444444, "mmlu_eval_accuracy_world_religions": 0.6842105263157895, "mmlu_loss": 1.1009864563185614, "step": 6600 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.5757, "step": 6601 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.6018, "step": 6602 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.7237, "step": 6603 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.6508, "step": 6604 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.6697, "step": 6605 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.8058, "step": 6606 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.9012, "step": 6607 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.9128, "step": 6608 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.5561, "step": 6609 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.8698, "step": 6610 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.9135, "step": 6611 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.9707, "step": 6612 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.9652, "step": 6613 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.7762, "step": 6614 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 1.0033, "step": 6615 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.891, "step": 6616 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 1.0076, "step": 6617 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.7577, "step": 6618 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.536, "step": 6619 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 1.17, "step": 6620 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.6909, "step": 6621 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 1.079, "step": 6622 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.9718, "step": 6623 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.9861, "step": 6624 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.9924, "step": 6625 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.6927, "step": 6626 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.7354, "step": 6627 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.8366, "step": 6628 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.8303, "step": 6629 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.616, "step": 6630 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.7633, "step": 6631 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.713, "step": 6632 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.9713, "step": 6633 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.707, "step": 6634 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 1.0192, "step": 6635 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.8879, "step": 6636 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.7084, "step": 6637 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.6239, "step": 6638 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.6163, "step": 6639 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.7042, "step": 6640 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.6893, "step": 6641 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.4661, "step": 6642 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.7707, "step": 6643 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.9324, "step": 6644 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.8496, "step": 6645 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.9173, "step": 6646 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.491, "step": 6647 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.8368, "step": 6648 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.7438, "step": 6649 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.6834, "step": 6650 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.5216, "step": 6651 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.7264, "step": 6652 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.7593, "step": 6653 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.6725, "step": 6654 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.8785, "step": 6655 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.9335, "step": 6656 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.8652, "step": 6657 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.6785, "step": 6658 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.8623, "step": 6659 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.5357, "step": 6660 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.8359, "step": 6661 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.6889, "step": 6662 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.7034, "step": 6663 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.526, "step": 6664 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.8522, "step": 6665 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.7976, "step": 6666 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.7572, "step": 6667 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.6723, "step": 6668 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.3307, "step": 6669 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.6417, "step": 6670 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.7991, "step": 6671 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.8612, "step": 6672 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.9302, "step": 6673 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.4712, "step": 6674 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.7354, "step": 6675 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.5296, "step": 6676 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.6388, "step": 6677 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.5894, "step": 6678 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.708, "step": 6679 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.9234, "step": 6680 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.8855, "step": 6681 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.78, "step": 6682 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 1.0214, "step": 6683 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.5966, "step": 6684 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.5306, "step": 6685 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 1.1123, "step": 6686 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.8679, "step": 6687 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.9809, "step": 6688 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.8492, "step": 6689 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.6344, "step": 6690 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.7429, "step": 6691 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.7022, "step": 6692 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.7402, "step": 6693 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.5154, "step": 6694 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.8218, "step": 6695 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.6927, "step": 6696 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.7835, "step": 6697 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.9641, "step": 6698 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.7537, "step": 6699 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.6104, "step": 6700 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.6862, "step": 6701 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.8788, "step": 6702 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 1.1149, "step": 6703 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.8642, "step": 6704 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.7763, "step": 6705 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 1.0684, "step": 6706 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.6166, "step": 6707 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.737, "step": 6708 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.862, "step": 6709 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.5495, "step": 6710 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.964, "step": 6711 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.7808, "step": 6712 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 1.0336, "step": 6713 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.8243, "step": 6714 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.877, "step": 6715 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 1.0262, "step": 6716 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.603, "step": 6717 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.849, "step": 6718 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.801, "step": 6719 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.7592, "step": 6720 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 0.7873, "step": 6721 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 1.0281, "step": 6722 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.9613, "step": 6723 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.7695, "step": 6724 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.8522, "step": 6725 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.963, "step": 6726 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.8593, "step": 6727 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.8233, "step": 6728 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.6076, "step": 6729 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.8462, "step": 6730 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.9912, "step": 6731 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.8425, "step": 6732 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.6808, "step": 6733 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.8621, "step": 6734 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.6835, "step": 6735 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.8022, "step": 6736 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.6967, "step": 6737 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.7761, "step": 6738 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.7217, "step": 6739 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.7328, "step": 6740 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.6688, "step": 6741 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.6852, "step": 6742 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.6623, "step": 6743 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.6524, "step": 6744 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.7954, "step": 6745 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.8042, "step": 6746 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.4782, "step": 6747 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.7226, "step": 6748 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 1.1302, "step": 6749 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.8426, "step": 6750 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.6098, "step": 6751 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.6865, "step": 6752 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.8506, "step": 6753 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.5439, "step": 6754 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 1.045, "step": 6755 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.8948, "step": 6756 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.759, "step": 6757 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.8818, "step": 6758 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.7821, "step": 6759 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.6447, "step": 6760 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 1.0207, "step": 6761 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.729, "step": 6762 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.6068, "step": 6763 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.6809, "step": 6764 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.7906, "step": 6765 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.6958, "step": 6766 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 1.0242, "step": 6767 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.7643, "step": 6768 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.6175, "step": 6769 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.6761, "step": 6770 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.9085, "step": 6771 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.7485, "step": 6772 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.6535, "step": 6773 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.829, "step": 6774 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.6536, "step": 6775 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.958, "step": 6776 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.9524, "step": 6777 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.5893, "step": 6778 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.7444, "step": 6779 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.4484, "step": 6780 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.7056, "step": 6781 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.5712, "step": 6782 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.8332, "step": 6783 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.7603, "step": 6784 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.6538, "step": 6785 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.5275, "step": 6786 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.9099, "step": 6787 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.772, "step": 6788 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.6767, "step": 6789 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.985, "step": 6790 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.7188, "step": 6791 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.7741, "step": 6792 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.9356, "step": 6793 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.8216, "step": 6794 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.7547, "step": 6795 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.6977, "step": 6796 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.7546, "step": 6797 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.7344, "step": 6798 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.7445, "step": 6799 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.6128, "step": 6800 }, { "epoch": 1.18, "eval_loss": 0.9094594717025757, "eval_runtime": 110.2242, "eval_samples_per_second": 9.072, "eval_steps_per_second": 4.536, "step": 6800 }, { "epoch": 1.18, "mmlu_eval_accuracy": 0.5204891147352604, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.5, "mmlu_eval_accuracy_astronomy": 0.625, "mmlu_eval_accuracy_business_ethics": 0.45454545454545453, "mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241, "mmlu_eval_accuracy_college_biology": 0.4375, "mmlu_eval_accuracy_college_chemistry": 0.125, "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365, "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727, "mmlu_eval_accuracy_college_medicine": 0.5454545454545454, "mmlu_eval_accuracy_college_physics": 0.5454545454545454, "mmlu_eval_accuracy_computer_security": 0.36363636363636365, "mmlu_eval_accuracy_conceptual_physics": 0.3076923076923077, "mmlu_eval_accuracy_econometrics": 0.25, "mmlu_eval_accuracy_electrical_engineering": 0.5, "mmlu_eval_accuracy_elementary_mathematics": 0.2682926829268293, "mmlu_eval_accuracy_formal_logic": 0.07142857142857142, "mmlu_eval_accuracy_global_facts": 0.3, "mmlu_eval_accuracy_high_school_biology": 0.5625, "mmlu_eval_accuracy_high_school_chemistry": 0.22727272727272727, "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": 0.6666666666666666, "mmlu_eval_accuracy_high_school_macroeconomics": 0.5116279069767442, "mmlu_eval_accuracy_high_school_mathematics": 0.4482758620689655, "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": 0.43478260869565216, "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, "mmlu_eval_accuracy_human_aging": 0.6521739130434783, "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, "mmlu_eval_accuracy_international_law": 0.7692307692307693, "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, "mmlu_eval_accuracy_machine_learning": 0.36363636363636365, "mmlu_eval_accuracy_management": 0.8181818181818182, "mmlu_eval_accuracy_marketing": 0.88, "mmlu_eval_accuracy_medical_genetics": 0.8181818181818182, "mmlu_eval_accuracy_miscellaneous": 0.6511627906976745, "mmlu_eval_accuracy_moral_disputes": 0.42105263157894735, "mmlu_eval_accuracy_moral_scenarios": 0.27, "mmlu_eval_accuracy_nutrition": 0.5757575757575758, "mmlu_eval_accuracy_philosophy": 0.6470588235294118, "mmlu_eval_accuracy_prehistory": 0.7428571428571429, "mmlu_eval_accuracy_professional_accounting": 0.3225806451612903, "mmlu_eval_accuracy_professional_law": 0.38823529411764707, "mmlu_eval_accuracy_professional_medicine": 0.5161290322580645, "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": 0.6818181818181818, "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, "mmlu_eval_accuracy_virology": 0.5555555555555556, "mmlu_eval_accuracy_world_religions": 0.6842105263157895, "mmlu_loss": 1.2632118596576212, "step": 6800 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.7574, "step": 6801 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.8607, "step": 6802 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.2913, "step": 6803 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.916, "step": 6804 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.6246, "step": 6805 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.5431, "step": 6806 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 1.0244, "step": 6807 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.5264, "step": 6808 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.6623, "step": 6809 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.7884, "step": 6810 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.7017, "step": 6811 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.6311, "step": 6812 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.9981, "step": 6813 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.9375, "step": 6814 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.5939, "step": 6815 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.7065, "step": 6816 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.8546, "step": 6817 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.7419, "step": 6818 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.6741, "step": 6819 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.8099, "step": 6820 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.5633, "step": 6821 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.9835, "step": 6822 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.8131, "step": 6823 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.4688, "step": 6824 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.6995, "step": 6825 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.5888, "step": 6826 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.9644, "step": 6827 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.8132, "step": 6828 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.7605, "step": 6829 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.5778, "step": 6830 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 1.1986, "step": 6831 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.8209, "step": 6832 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.7394, "step": 6833 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.9545, "step": 6834 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 0.8708, "step": 6835 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 1.1338, "step": 6836 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.983, "step": 6837 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.9506, "step": 6838 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.7788, "step": 6839 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.8828, "step": 6840 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 1.0195, "step": 6841 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.7911, "step": 6842 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.9051, "step": 6843 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.6385, "step": 6844 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.962, "step": 6845 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.8397, "step": 6846 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.8451, "step": 6847 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.8073, "step": 6848 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.5721, "step": 6849 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.6495, "step": 6850 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.5345, "step": 6851 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.7864, "step": 6852 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.7391, "step": 6853 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.9538, "step": 6854 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.9547, "step": 6855 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.7163, "step": 6856 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.7788, "step": 6857 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.7006, "step": 6858 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.6495, "step": 6859 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.6273, "step": 6860 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.9683, "step": 6861 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.709, "step": 6862 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.6331, "step": 6863 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.7529, "step": 6864 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.6659, "step": 6865 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.931, "step": 6866 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.8505, "step": 6867 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.602, "step": 6868 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.6705, "step": 6869 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.7103, "step": 6870 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.7984, "step": 6871 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.7006, "step": 6872 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.9003, "step": 6873 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.5227, "step": 6874 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.9777, "step": 6875 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.8412, "step": 6876 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.8327, "step": 6877 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.8172, "step": 6878 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.702, "step": 6879 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 1.0298, "step": 6880 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.6723, "step": 6881 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.7704, "step": 6882 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.7325, "step": 6883 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.8137, "step": 6884 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.8925, "step": 6885 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.759, "step": 6886 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.7982, "step": 6887 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.7622, "step": 6888 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.6642, "step": 6889 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.5343, "step": 6890 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.8675, "step": 6891 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.9833, "step": 6892 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.9324, "step": 6893 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.7917, "step": 6894 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.8235, "step": 6895 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.5215, "step": 6896 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.6129, "step": 6897 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.8328, "step": 6898 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.7355, "step": 6899 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.8684, "step": 6900 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.6105, "step": 6901 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.6751, "step": 6902 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.5285, "step": 6903 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.6655, "step": 6904 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.6443, "step": 6905 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.6808, "step": 6906 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.5668, "step": 6907 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 1.0742, "step": 6908 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.7801, "step": 6909 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.988, "step": 6910 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.9706, "step": 6911 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.8343, "step": 6912 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.9549, "step": 6913 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.7481, "step": 6914 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.7978, "step": 6915 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.7198, "step": 6916 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.8498, "step": 6917 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.77, "step": 6918 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.9797, "step": 6919 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.5381, "step": 6920 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.8145, "step": 6921 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.7592, "step": 6922 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.8906, "step": 6923 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.6379, "step": 6924 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.7907, "step": 6925 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.7422, "step": 6926 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.6495, "step": 6927 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.7383, "step": 6928 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 1.0417, "step": 6929 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.5514, "step": 6930 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.7038, "step": 6931 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 1.4544, "step": 6932 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.7525, "step": 6933 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.6475, "step": 6934 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.7173, "step": 6935 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.5557, "step": 6936 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.6024, "step": 6937 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.7313, "step": 6938 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.5516, "step": 6939 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.6366, "step": 6940 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.9162, "step": 6941 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 1.1342, "step": 6942 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.8689, "step": 6943 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.7066, "step": 6944 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.7036, "step": 6945 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.8234, "step": 6946 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.794, "step": 6947 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.888, "step": 6948 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.4742, "step": 6949 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.8538, "step": 6950 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.7215, "step": 6951 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.6833, "step": 6952 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.8591, "step": 6953 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.9025, "step": 6954 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.7404, "step": 6955 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.8878, "step": 6956 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.8676, "step": 6957 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.7214, "step": 6958 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.7156, "step": 6959 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.754, "step": 6960 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.8647, "step": 6961 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.6168, "step": 6962 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.7335, "step": 6963 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.9032, "step": 6964 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.8802, "step": 6965 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.9649, "step": 6966 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.5301, "step": 6967 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.7776, "step": 6968 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.9385, "step": 6969 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.7241, "step": 6970 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.4345, "step": 6971 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.6497, "step": 6972 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.6523, "step": 6973 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.749, "step": 6974 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.8754, "step": 6975 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.8917, "step": 6976 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.9153, "step": 6977 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.7998, "step": 6978 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.6975, "step": 6979 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.9916, "step": 6980 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.843, "step": 6981 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 1.0594, "step": 6982 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.7672, "step": 6983 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.7417, "step": 6984 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.4337, "step": 6985 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.436, "step": 6986 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.8925, "step": 6987 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.8385, "step": 6988 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.959, "step": 6989 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.8815, "step": 6990 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.7462, "step": 6991 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.8812, "step": 6992 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.4811, "step": 6993 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.6382, "step": 6994 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.9682, "step": 6995 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.8533, "step": 6996 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.853, "step": 6997 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 1.0474, "step": 6998 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.7149, "step": 6999 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.9654, "step": 7000 }, { "epoch": 1.21, "eval_loss": 0.9102506041526794, "eval_runtime": 110.3357, "eval_samples_per_second": 9.063, "eval_steps_per_second": 4.532, "step": 7000 }, { "epoch": 1.21, "mmlu_eval_accuracy": 0.5128602902570066, "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": 0.5172413793103449, "mmlu_eval_accuracy_college_biology": 0.5625, "mmlu_eval_accuracy_college_chemistry": 0.125, "mmlu_eval_accuracy_college_computer_science": 0.09090909090909091, "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727, "mmlu_eval_accuracy_college_medicine": 0.45454545454545453, "mmlu_eval_accuracy_college_physics": 0.5454545454545454, "mmlu_eval_accuracy_computer_security": 0.36363636363636365, "mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231, "mmlu_eval_accuracy_econometrics": 0.5, "mmlu_eval_accuracy_electrical_engineering": 0.3125, "mmlu_eval_accuracy_elementary_mathematics": 0.24390243902439024, "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, "mmlu_eval_accuracy_global_facts": 0.5, "mmlu_eval_accuracy_high_school_biology": 0.46875, "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182, "mmlu_eval_accuracy_high_school_computer_science": 0.4444444444444444, "mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112, "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, "mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191, "mmlu_eval_accuracy_high_school_macroeconomics": 0.5116279069767442, "mmlu_eval_accuracy_high_school_mathematics": 0.13793103448275862, "mmlu_eval_accuracy_high_school_microeconomics": 0.5769230769230769, "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, "mmlu_eval_accuracy_high_school_psychology": 0.8, "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, "mmlu_eval_accuracy_high_school_world_history": 0.6153846153846154, "mmlu_eval_accuracy_human_aging": 0.6521739130434783, "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, "mmlu_eval_accuracy_international_law": 0.9230769230769231, "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, "mmlu_eval_accuracy_machine_learning": 0.36363636363636365, "mmlu_eval_accuracy_management": 0.7272727272727273, "mmlu_eval_accuracy_marketing": 0.76, "mmlu_eval_accuracy_medical_genetics": 0.8181818181818182, "mmlu_eval_accuracy_miscellaneous": 0.6976744186046512, "mmlu_eval_accuracy_moral_disputes": 0.5789473684210527, "mmlu_eval_accuracy_moral_scenarios": 0.39, "mmlu_eval_accuracy_nutrition": 0.6060606060606061, "mmlu_eval_accuracy_philosophy": 0.6764705882352942, "mmlu_eval_accuracy_prehistory": 0.7142857142857143, "mmlu_eval_accuracy_professional_accounting": 0.3225806451612903, "mmlu_eval_accuracy_professional_law": 0.37058823529411766, "mmlu_eval_accuracy_professional_medicine": 0.5161290322580645, "mmlu_eval_accuracy_professional_psychology": 0.5507246376811594, "mmlu_eval_accuracy_public_relations": 0.5, "mmlu_eval_accuracy_security_studies": 0.5185185185185185, "mmlu_eval_accuracy_sociology": 0.7272727272727273, "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, "mmlu_eval_accuracy_virology": 0.5, "mmlu_eval_accuracy_world_religions": 0.631578947368421, "mmlu_loss": 1.121203317109972, "step": 7000 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.8423, "step": 7001 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.7023, "step": 7002 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.815, "step": 7003 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.5368, "step": 7004 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.6757, "step": 7005 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.6907, "step": 7006 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.8596, "step": 7007 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.626, "step": 7008 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 0.5218, "step": 7009 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.7019, "step": 7010 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.9127, "step": 7011 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.7968, "step": 7012 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.7174, "step": 7013 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.7841, "step": 7014 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 1.0091, "step": 7015 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.8099, "step": 7016 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.8611, "step": 7017 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.7028, "step": 7018 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.7611, "step": 7019 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.8171, "step": 7020 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.6614, "step": 7021 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.7412, "step": 7022 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.8786, "step": 7023 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.9187, "step": 7024 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.7498, "step": 7025 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.7323, "step": 7026 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.9679, "step": 7027 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.6658, "step": 7028 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.706, "step": 7029 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.8327, "step": 7030 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.9111, "step": 7031 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.7682, "step": 7032 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.7785, "step": 7033 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.6258, "step": 7034 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.5178, "step": 7035 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.7124, "step": 7036 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.7095, "step": 7037 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 1.0838, "step": 7038 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.5339, "step": 7039 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.6663, "step": 7040 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.7775, "step": 7041 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.4874, "step": 7042 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.6947, "step": 7043 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.6937, "step": 7044 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.6359, "step": 7045 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.5698, "step": 7046 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.9833, "step": 7047 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.7033, "step": 7048 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.7117, "step": 7049 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.8002, "step": 7050 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.8219, "step": 7051 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.7319, "step": 7052 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.627, "step": 7053 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.6615, "step": 7054 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.9348, "step": 7055 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 1.0225, "step": 7056 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.6883, "step": 7057 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.9402, "step": 7058 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.889, "step": 7059 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.7017, "step": 7060 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.7226, "step": 7061 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.7025, "step": 7062 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.6486, "step": 7063 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.8654, "step": 7064 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.5564, "step": 7065 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.515, "step": 7066 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 1.0035, "step": 7067 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.8171, "step": 7068 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.7846, "step": 7069 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 1.0296, "step": 7070 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.8774, "step": 7071 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.9541, "step": 7072 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.8849, "step": 7073 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.9721, "step": 7074 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.7764, "step": 7075 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.693, "step": 7076 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.6435, "step": 7077 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.7013, "step": 7078 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.7561, "step": 7079 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.7345, "step": 7080 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.8087, "step": 7081 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.9126, "step": 7082 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.9885, "step": 7083 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.8168, "step": 7084 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.944, "step": 7085 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.825, "step": 7086 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.7356, "step": 7087 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.8051, "step": 7088 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.691, "step": 7089 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.6641, "step": 7090 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.794, "step": 7091 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.8287, "step": 7092 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.7208, "step": 7093 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.8777, "step": 7094 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.8661, "step": 7095 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.949, "step": 7096 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.6428, "step": 7097 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.6323, "step": 7098 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.8391, "step": 7099 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.8525, "step": 7100 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.7394, "step": 7101 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.7682, "step": 7102 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.8068, "step": 7103 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.9159, "step": 7104 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.61, "step": 7105 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.8818, "step": 7106 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.9499, "step": 7107 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.7631, "step": 7108 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.4774, "step": 7109 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.8302, "step": 7110 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.7155, "step": 7111 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.6709, "step": 7112 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.6922, "step": 7113 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.6222, "step": 7114 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 1.0036, "step": 7115 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.7889, "step": 7116 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 1.0408, "step": 7117 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 1.0698, "step": 7118 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.6433, "step": 7119 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.8776, "step": 7120 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.9196, "step": 7121 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.6401, "step": 7122 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.7557, "step": 7123 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.7262, "step": 7124 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 0.836, "step": 7125 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.7991, "step": 7126 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.9021, "step": 7127 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.6709, "step": 7128 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.6137, "step": 7129 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.7314, "step": 7130 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.6696, "step": 7131 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.7017, "step": 7132 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 1.0954, "step": 7133 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.9629, "step": 7134 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.716, "step": 7135 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.8884, "step": 7136 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.7673, "step": 7137 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.5894, "step": 7138 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.9234, "step": 7139 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.8021, "step": 7140 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.6257, "step": 7141 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.6684, "step": 7142 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.5427, "step": 7143 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.584, "step": 7144 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.7924, "step": 7145 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 1.1034, "step": 7146 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.7057, "step": 7147 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.6411, "step": 7148 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.7829, "step": 7149 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.9832, "step": 7150 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.6663, "step": 7151 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.8236, "step": 7152 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.4317, "step": 7153 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.7189, "step": 7154 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.8602, "step": 7155 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.9534, "step": 7156 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.6838, "step": 7157 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.6948, "step": 7158 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.6679, "step": 7159 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.8366, "step": 7160 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.7877, "step": 7161 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.9037, "step": 7162 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.6506, "step": 7163 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.7581, "step": 7164 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.9971, "step": 7165 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.7958, "step": 7166 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.7711, "step": 7167 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.7369, "step": 7168 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.9781, "step": 7169 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.7164, "step": 7170 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.8795, "step": 7171 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.6805, "step": 7172 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.8145, "step": 7173 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 1.0029, "step": 7174 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.7684, "step": 7175 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.777, "step": 7176 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.6651, "step": 7177 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.5003, "step": 7178 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 1.1451, "step": 7179 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.8059, "step": 7180 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.9438, "step": 7181 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.6996, "step": 7182 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.8333, "step": 7183 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.7917, "step": 7184 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.6303, "step": 7185 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.9905, "step": 7186 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.8239, "step": 7187 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.9364, "step": 7188 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 1.0294, "step": 7189 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.7874, "step": 7190 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.847, "step": 7191 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.8189, "step": 7192 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.9133, "step": 7193 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.7387, "step": 7194 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.6249, "step": 7195 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.9359, "step": 7196 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.9063, "step": 7197 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.7002, "step": 7198 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.811, "step": 7199 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.8415, "step": 7200 }, { "epoch": 1.25, "eval_loss": 0.9055303931236267, "eval_runtime": 110.3473, "eval_samples_per_second": 9.062, "eval_steps_per_second": 4.531, "step": 7200 }, { "epoch": 1.25, "mmlu_eval_accuracy": 0.5221917207673362, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.42857142857142855, "mmlu_eval_accuracy_astronomy": 0.625, "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, "mmlu_eval_accuracy_clinical_knowledge": 0.6206896551724138, "mmlu_eval_accuracy_college_biology": 0.6875, "mmlu_eval_accuracy_college_chemistry": 0.125, "mmlu_eval_accuracy_college_computer_science": 0.18181818181818182, "mmlu_eval_accuracy_college_mathematics": 0.18181818181818182, "mmlu_eval_accuracy_college_medicine": 0.5454545454545454, "mmlu_eval_accuracy_college_physics": 0.5454545454545454, "mmlu_eval_accuracy_computer_security": 0.36363636363636365, "mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464, "mmlu_eval_accuracy_econometrics": 0.4166666666666667, "mmlu_eval_accuracy_electrical_engineering": 0.375, "mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536, "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, "mmlu_eval_accuracy_global_facts": 0.4, "mmlu_eval_accuracy_high_school_biology": 0.625, "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, "mmlu_eval_accuracy_high_school_computer_science": 0.4444444444444444, "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": 0.6666666666666666, "mmlu_eval_accuracy_high_school_macroeconomics": 0.5348837209302325, "mmlu_eval_accuracy_high_school_mathematics": 0.13793103448275862, "mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156, "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, "mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334, "mmlu_eval_accuracy_high_school_statistics": 0.4782608695652174, "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, "mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539, "mmlu_eval_accuracy_human_aging": 0.6521739130434783, "mmlu_eval_accuracy_human_sexuality": 0.25, "mmlu_eval_accuracy_international_law": 0.8461538461538461, "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, "mmlu_eval_accuracy_management": 0.7272727272727273, "mmlu_eval_accuracy_marketing": 0.76, "mmlu_eval_accuracy_medical_genetics": 0.8181818181818182, "mmlu_eval_accuracy_miscellaneous": 0.7093023255813954, "mmlu_eval_accuracy_moral_disputes": 0.47368421052631576, "mmlu_eval_accuracy_moral_scenarios": 0.27, "mmlu_eval_accuracy_nutrition": 0.696969696969697, "mmlu_eval_accuracy_philosophy": 0.6176470588235294, "mmlu_eval_accuracy_prehistory": 0.6857142857142857, "mmlu_eval_accuracy_professional_accounting": 0.3548387096774194, "mmlu_eval_accuracy_professional_law": 0.3764705882352941, "mmlu_eval_accuracy_professional_medicine": 0.4838709677419355, "mmlu_eval_accuracy_professional_psychology": 0.6521739130434783, "mmlu_eval_accuracy_public_relations": 0.4166666666666667, "mmlu_eval_accuracy_security_studies": 0.5185185185185185, "mmlu_eval_accuracy_sociology": 0.7727272727272727, "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, "mmlu_eval_accuracy_virology": 0.4444444444444444, "mmlu_eval_accuracy_world_religions": 0.631578947368421, "mmlu_loss": 1.2767351670458174, "step": 7200 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.7262, "step": 7201 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.7055, "step": 7202 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.7485, "step": 7203 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.9318, "step": 7204 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.8171, "step": 7205 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 1.0152, "step": 7206 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.8907, "step": 7207 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.6946, "step": 7208 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.5337, "step": 7209 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.5796, "step": 7210 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.9657, "step": 7211 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.4861, "step": 7212 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.7999, "step": 7213 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.7209, "step": 7214 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.8263, "step": 7215 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.672, "step": 7216 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 1.0059, "step": 7217 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.625, "step": 7218 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.719, "step": 7219 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.866, "step": 7220 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.8094, "step": 7221 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.5199, "step": 7222 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.963, "step": 7223 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.8494, "step": 7224 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.7889, "step": 7225 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.7083, "step": 7226 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.7038, "step": 7227 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.7984, "step": 7228 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.9008, "step": 7229 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.9231, "step": 7230 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.868, "step": 7231 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.4725, "step": 7232 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.6134, "step": 7233 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.8808, "step": 7234 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.7902, "step": 7235 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.8128, "step": 7236 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.8454, "step": 7237 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.813, "step": 7238 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.8752, "step": 7239 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.7752, "step": 7240 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.819, "step": 7241 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.9881, "step": 7242 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.5977, "step": 7243 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.504, "step": 7244 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.825, "step": 7245 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.7875, "step": 7246 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.8907, "step": 7247 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.7489, "step": 7248 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.662, "step": 7249 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.8442, "step": 7250 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.5344, "step": 7251 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.6937, "step": 7252 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.891, "step": 7253 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.6826, "step": 7254 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.7673, "step": 7255 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.6909, "step": 7256 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.8881, "step": 7257 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.8786, "step": 7258 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.7282, "step": 7259 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.6846, "step": 7260 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.6606, "step": 7261 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.7308, "step": 7262 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.5392, "step": 7263 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.7706, "step": 7264 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.4128, "step": 7265 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.5004, "step": 7266 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 1.0339, "step": 7267 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.8518, "step": 7268 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.7688, "step": 7269 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 1.0195, "step": 7270 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.6437, "step": 7271 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.8438, "step": 7272 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.7778, "step": 7273 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.8713, "step": 7274 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.5335, "step": 7275 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.8665, "step": 7276 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 1.0138, "step": 7277 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.7602, "step": 7278 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 1.0074, "step": 7279 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.7489, "step": 7280 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.8531, "step": 7281 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.7092, "step": 7282 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 1.0184, "step": 7283 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.7852, "step": 7284 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 1.0592, "step": 7285 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.8259, "step": 7286 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.8698, "step": 7287 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 1.1457, "step": 7288 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 1.0983, "step": 7289 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.6287, "step": 7290 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.6652, "step": 7291 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.7587, "step": 7292 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 1.1509, "step": 7293 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.6289, "step": 7294 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.7255, "step": 7295 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.5743, "step": 7296 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.994, "step": 7297 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 0.9409, "step": 7298 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.7231, "step": 7299 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.9362, "step": 7300 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 1.1284, "step": 7301 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.9729, "step": 7302 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.6755, "step": 7303 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.5453, "step": 7304 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.7593, "step": 7305 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.895, "step": 7306 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.6555, "step": 7307 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.8542, "step": 7308 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.7085, "step": 7309 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.7111, "step": 7310 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.7407, "step": 7311 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.5882, "step": 7312 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.8005, "step": 7313 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.6944, "step": 7314 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.6007, "step": 7315 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.6574, "step": 7316 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.5085, "step": 7317 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.5017, "step": 7318 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.8795, "step": 7319 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.6777, "step": 7320 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.7312, "step": 7321 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.8682, "step": 7322 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.6019, "step": 7323 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.9168, "step": 7324 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 1.1246, "step": 7325 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.4192, "step": 7326 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.6831, "step": 7327 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.7759, "step": 7328 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.7664, "step": 7329 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.7428, "step": 7330 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.8994, "step": 7331 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.7809, "step": 7332 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.7782, "step": 7333 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.5051, "step": 7334 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.9654, "step": 7335 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.4735, "step": 7336 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.8892, "step": 7337 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.687, "step": 7338 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.7372, "step": 7339 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.7393, "step": 7340 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.8157, "step": 7341 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.7341, "step": 7342 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.8362, "step": 7343 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.7768, "step": 7344 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.8608, "step": 7345 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 1.0741, "step": 7346 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.8534, "step": 7347 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.8763, "step": 7348 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.8852, "step": 7349 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.691, "step": 7350 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.8387, "step": 7351 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.7265, "step": 7352 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.7475, "step": 7353 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.8574, "step": 7354 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.7387, "step": 7355 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.8887, "step": 7356 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.9094, "step": 7357 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 1.1342, "step": 7358 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.6818, "step": 7359 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.7114, "step": 7360 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.7549, "step": 7361 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.914, "step": 7362 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.9512, "step": 7363 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 1.0628, "step": 7364 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.9363, "step": 7365 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.8553, "step": 7366 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.6886, "step": 7367 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.7699, "step": 7368 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 1.0039, "step": 7369 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.6577, "step": 7370 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.8134, "step": 7371 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.9412, "step": 7372 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.902, "step": 7373 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.6761, "step": 7374 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.8498, "step": 7375 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.7307, "step": 7376 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.884, "step": 7377 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.7547, "step": 7378 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.7946, "step": 7379 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.9676, "step": 7380 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.6562, "step": 7381 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.9077, "step": 7382 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.4825, "step": 7383 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.6555, "step": 7384 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.98, "step": 7385 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.92, "step": 7386 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.6417, "step": 7387 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.8767, "step": 7388 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.8465, "step": 7389 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.7722, "step": 7390 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.7127, "step": 7391 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.7443, "step": 7392 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.4753, "step": 7393 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.5655, "step": 7394 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.7205, "step": 7395 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.832, "step": 7396 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.7774, "step": 7397 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.5955, "step": 7398 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.8447, "step": 7399 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.9924, "step": 7400 }, { "epoch": 1.28, "eval_loss": 0.9208407998085022, "eval_runtime": 110.2961, "eval_samples_per_second": 9.067, "eval_steps_per_second": 4.533, "step": 7400 }, { "epoch": 1.28, "mmlu_eval_accuracy": 0.5193991368421945, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.2857142857142857, "mmlu_eval_accuracy_astronomy": 0.6875, "mmlu_eval_accuracy_business_ethics": 0.7272727272727273, "mmlu_eval_accuracy_clinical_knowledge": 0.6206896551724138, "mmlu_eval_accuracy_college_biology": 0.5, "mmlu_eval_accuracy_college_chemistry": 0.125, "mmlu_eval_accuracy_college_computer_science": 0.18181818181818182, "mmlu_eval_accuracy_college_mathematics": 0.18181818181818182, "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": 0.34615384615384615, "mmlu_eval_accuracy_econometrics": 0.4166666666666667, "mmlu_eval_accuracy_electrical_engineering": 0.5625, "mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637, "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": 0.22727272727272727, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.8888888888888888, "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, "mmlu_eval_accuracy_high_school_macroeconomics": 0.5348837209302325, "mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483, "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": 0.4782608695652174, "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, "mmlu_eval_accuracy_high_school_world_history": 0.5384615384615384, "mmlu_eval_accuracy_human_aging": 0.6956521739130435, "mmlu_eval_accuracy_human_sexuality": 0.3333333333333333, "mmlu_eval_accuracy_international_law": 0.9230769230769231, "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, "mmlu_eval_accuracy_machine_learning": 0.2727272727272727, "mmlu_eval_accuracy_management": 0.7272727272727273, "mmlu_eval_accuracy_marketing": 0.84, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.6744186046511628, "mmlu_eval_accuracy_moral_disputes": 0.5, "mmlu_eval_accuracy_moral_scenarios": 0.24, "mmlu_eval_accuracy_nutrition": 0.6060606060606061, "mmlu_eval_accuracy_philosophy": 0.5588235294117647, "mmlu_eval_accuracy_prehistory": 0.5142857142857142, "mmlu_eval_accuracy_professional_accounting": 0.3870967741935484, "mmlu_eval_accuracy_professional_law": 0.3941176470588235, "mmlu_eval_accuracy_professional_medicine": 0.45161290322580644, "mmlu_eval_accuracy_professional_psychology": 0.6521739130434783, "mmlu_eval_accuracy_public_relations": 0.5, "mmlu_eval_accuracy_security_studies": 0.5925925925925926, "mmlu_eval_accuracy_sociology": 0.6363636363636364, "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, "mmlu_eval_accuracy_virology": 0.5, "mmlu_eval_accuracy_world_religions": 0.6842105263157895, "mmlu_loss": 1.1868741910700387, "step": 7400 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.6489, "step": 7401 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.7938, "step": 7402 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.7903, "step": 7403 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.866, "step": 7404 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.7404, "step": 7405 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.8127, "step": 7406 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.8011, "step": 7407 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.5998, "step": 7408 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.6112, "step": 7409 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.9316, "step": 7410 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.9888, "step": 7411 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 1.021, "step": 7412 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 0.8384, "step": 7413 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.7606, "step": 7414 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.962, "step": 7415 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.7882, "step": 7416 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.9785, "step": 7417 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.8206, "step": 7418 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.9301, "step": 7419 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.929, "step": 7420 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.8839, "step": 7421 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.7145, "step": 7422 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.6936, "step": 7423 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 1.0792, "step": 7424 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.7918, "step": 7425 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.9, "step": 7426 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.8591, "step": 7427 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.3954, "step": 7428 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.9366, "step": 7429 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.6171, "step": 7430 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.6395, "step": 7431 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.6685, "step": 7432 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.8847, "step": 7433 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 1.0134, "step": 7434 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.8586, "step": 7435 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.7162, "step": 7436 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 1.0303, "step": 7437 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.978, "step": 7438 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.4431, "step": 7439 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.7095, "step": 7440 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.4228, "step": 7441 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 1.0967, "step": 7442 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.5575, "step": 7443 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.8616, "step": 7444 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.9153, "step": 7445 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.9376, "step": 7446 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.5597, "step": 7447 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.8879, "step": 7448 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.4076, "step": 7449 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.7169, "step": 7450 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.7502, "step": 7451 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.76, "step": 7452 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.9222, "step": 7453 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.7423, "step": 7454 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.7123, "step": 7455 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.7122, "step": 7456 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.8488, "step": 7457 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.7709, "step": 7458 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 1.01, "step": 7459 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.7842, "step": 7460 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.6168, "step": 7461 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.9005, "step": 7462 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.6211, "step": 7463 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.7037, "step": 7464 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.7466, "step": 7465 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.919, "step": 7466 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.9012, "step": 7467 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.5136, "step": 7468 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.6844, "step": 7469 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.7532, "step": 7470 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.8778, "step": 7471 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.6044, "step": 7472 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.8497, "step": 7473 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.8546, "step": 7474 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.6841, "step": 7475 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.9061, "step": 7476 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.8504, "step": 7477 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.7402, "step": 7478 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.8943, "step": 7479 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.9178, "step": 7480 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.5654, "step": 7481 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.7857, "step": 7482 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.9102, "step": 7483 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.8833, "step": 7484 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 1.0156, "step": 7485 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.7989, "step": 7486 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.9412, "step": 7487 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.9634, "step": 7488 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.8384, "step": 7489 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.7304, "step": 7490 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.7083, "step": 7491 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.7173, "step": 7492 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.7317, "step": 7493 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.8042, "step": 7494 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.9288, "step": 7495 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.5397, "step": 7496 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.7225, "step": 7497 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.9541, "step": 7498 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.6251, "step": 7499 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.8345, "step": 7500 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.7477, "step": 7501 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.598, "step": 7502 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.8794, "step": 7503 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.9462, "step": 7504 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.9495, "step": 7505 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.7275, "step": 7506 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.6724, "step": 7507 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.825, "step": 7508 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.9844, "step": 7509 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.8431, "step": 7510 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.5147, "step": 7511 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.5979, "step": 7512 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.759, "step": 7513 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.8158, "step": 7514 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 1.0814, "step": 7515 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.8088, "step": 7516 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.5961, "step": 7517 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.5791, "step": 7518 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.8055, "step": 7519 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.7589, "step": 7520 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.5685, "step": 7521 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.6867, "step": 7522 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.8824, "step": 7523 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.6255, "step": 7524 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.7522, "step": 7525 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.5212, "step": 7526 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.8829, "step": 7527 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.9081, "step": 7528 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.709, "step": 7529 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.9588, "step": 7530 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 1.0254, "step": 7531 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.8832, "step": 7532 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.7198, "step": 7533 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.7877, "step": 7534 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.8169, "step": 7535 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.9414, "step": 7536 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.7788, "step": 7537 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.7407, "step": 7538 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.9636, "step": 7539 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.7019, "step": 7540 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.8684, "step": 7541 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.9517, "step": 7542 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.6982, "step": 7543 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.7232, "step": 7544 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 1.0934, "step": 7545 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.9351, "step": 7546 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.7292, "step": 7547 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.9505, "step": 7548 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.6575, "step": 7549 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.578, "step": 7550 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.8315, "step": 7551 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.6807, "step": 7552 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.8418, "step": 7553 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.7954, "step": 7554 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.5881, "step": 7555 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.9078, "step": 7556 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 1.0174, "step": 7557 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.6673, "step": 7558 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.883, "step": 7559 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.6999, "step": 7560 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.8433, "step": 7561 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.4671, "step": 7562 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.5595, "step": 7563 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.9728, "step": 7564 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.7683, "step": 7565 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.6243, "step": 7566 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.6728, "step": 7567 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.8677, "step": 7568 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 1.0728, "step": 7569 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.7814, "step": 7570 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.9172, "step": 7571 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 1.0096, "step": 7572 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.6489, "step": 7573 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.6732, "step": 7574 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.8188, "step": 7575 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.8308, "step": 7576 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.392, "step": 7577 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.7905, "step": 7578 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.7773, "step": 7579 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.793, "step": 7580 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.6616, "step": 7581 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.7448, "step": 7582 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.8846, "step": 7583 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 1.0956, "step": 7584 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.6365, "step": 7585 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 0.9566, "step": 7586 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.9523, "step": 7587 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.6965, "step": 7588 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.6679, "step": 7589 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.6753, "step": 7590 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.7035, "step": 7591 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.7911, "step": 7592 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.9812, "step": 7593 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.8666, "step": 7594 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.4548, "step": 7595 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.6427, "step": 7596 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 1.1068, "step": 7597 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 1.0893, "step": 7598 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.9031, "step": 7599 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.7225, "step": 7600 }, { "epoch": 1.32, "eval_loss": 0.9075359106063843, "eval_runtime": 110.3121, "eval_samples_per_second": 9.065, "eval_steps_per_second": 4.533, "step": 7600 }, { "epoch": 1.32, "mmlu_eval_accuracy": 0.5124715132448054, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.35714285714285715, "mmlu_eval_accuracy_astronomy": 0.5625, "mmlu_eval_accuracy_business_ethics": 0.45454545454545453, "mmlu_eval_accuracy_clinical_knowledge": 0.4827586206896552, "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": 0.18181818181818182, "mmlu_eval_accuracy_college_medicine": 0.5909090909090909, "mmlu_eval_accuracy_college_physics": 0.5454545454545454, "mmlu_eval_accuracy_computer_security": 0.5454545454545454, "mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464, "mmlu_eval_accuracy_econometrics": 0.5, "mmlu_eval_accuracy_electrical_engineering": 0.375, "mmlu_eval_accuracy_elementary_mathematics": 0.2926829268292683, "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, "mmlu_eval_accuracy_global_facts": 0.3, "mmlu_eval_accuracy_high_school_biology": 0.59375, "mmlu_eval_accuracy_high_school_chemistry": 0.2727272727272727, "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, "mmlu_eval_accuracy_high_school_european_history": 0.8888888888888888, "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, "mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191, "mmlu_eval_accuracy_high_school_macroeconomics": 0.46511627906976744, "mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483, "mmlu_eval_accuracy_high_school_microeconomics": 0.5, "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": 0.6153846153846154, "mmlu_eval_accuracy_human_aging": 0.6956521739130435, "mmlu_eval_accuracy_human_sexuality": 0.25, "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": 0.2727272727272727, "mmlu_eval_accuracy_management": 0.7272727272727273, "mmlu_eval_accuracy_marketing": 0.84, "mmlu_eval_accuracy_medical_genetics": 0.8181818181818182, "mmlu_eval_accuracy_miscellaneous": 0.6976744186046512, "mmlu_eval_accuracy_moral_disputes": 0.5, "mmlu_eval_accuracy_moral_scenarios": 0.29, "mmlu_eval_accuracy_nutrition": 0.6060606060606061, "mmlu_eval_accuracy_philosophy": 0.6470588235294118, "mmlu_eval_accuracy_prehistory": 0.6285714285714286, "mmlu_eval_accuracy_professional_accounting": 0.3225806451612903, "mmlu_eval_accuracy_professional_law": 0.3941176470588235, "mmlu_eval_accuracy_professional_medicine": 0.5161290322580645, "mmlu_eval_accuracy_professional_psychology": 0.6376811594202898, "mmlu_eval_accuracy_public_relations": 0.4166666666666667, "mmlu_eval_accuracy_security_studies": 0.4444444444444444, "mmlu_eval_accuracy_sociology": 0.5454545454545454, "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, "mmlu_eval_accuracy_virology": 0.5555555555555556, "mmlu_eval_accuracy_world_religions": 0.631578947368421, "mmlu_loss": 1.0786853476814129, "step": 7600 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.7465, "step": 7601 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 1.1633, "step": 7602 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.6051, "step": 7603 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.8283, "step": 7604 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.7299, "step": 7605 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.6685, "step": 7606 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.936, "step": 7607 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.811, "step": 7608 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.9324, "step": 7609 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.7939, "step": 7610 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.8824, "step": 7611 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.8239, "step": 7612 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.6784, "step": 7613 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.8711, "step": 7614 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.5665, "step": 7615 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.6517, "step": 7616 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.8555, "step": 7617 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.8286, "step": 7618 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.9259, "step": 7619 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.6669, "step": 7620 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 1.0407, "step": 7621 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.8346, "step": 7622 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.7183, "step": 7623 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.578, "step": 7624 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.773, "step": 7625 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.754, "step": 7626 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.835, "step": 7627 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 1.1484, "step": 7628 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.728, "step": 7629 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.771, "step": 7630 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.8252, "step": 7631 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.8414, "step": 7632 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.7288, "step": 7633 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.5758, "step": 7634 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.6152, "step": 7635 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.791, "step": 7636 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.657, "step": 7637 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.8223, "step": 7638 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.836, "step": 7639 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.6689, "step": 7640 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.7132, "step": 7641 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.8214, "step": 7642 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.8087, "step": 7643 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.8364, "step": 7644 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.5384, "step": 7645 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.9189, "step": 7646 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.6671, "step": 7647 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.9419, "step": 7648 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.6141, "step": 7649 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.8503, "step": 7650 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.8661, "step": 7651 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.6368, "step": 7652 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.5418, "step": 7653 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.6717, "step": 7654 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.6384, "step": 7655 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.7417, "step": 7656 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.5937, "step": 7657 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.8081, "step": 7658 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.8512, "step": 7659 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.9835, "step": 7660 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 1.1027, "step": 7661 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.8631, "step": 7662 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.8179, "step": 7663 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 1.0348, "step": 7664 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.7656, "step": 7665 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 1.055, "step": 7666 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.6246, "step": 7667 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.6949, "step": 7668 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.9056, "step": 7669 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.5448, "step": 7670 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.9131, "step": 7671 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.6211, "step": 7672 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.8488, "step": 7673 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.9248, "step": 7674 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.8159, "step": 7675 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.7518, "step": 7676 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.8179, "step": 7677 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.8454, "step": 7678 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.8141, "step": 7679 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.7615, "step": 7680 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.9028, "step": 7681 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 1.0001, "step": 7682 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.6467, "step": 7683 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.8935, "step": 7684 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.8748, "step": 7685 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.5852, "step": 7686 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.9694, "step": 7687 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.6018, "step": 7688 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.7518, "step": 7689 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.7634, "step": 7690 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.6859, "step": 7691 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.9717, "step": 7692 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.7899, "step": 7693 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.9191, "step": 7694 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.8659, "step": 7695 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.5872, "step": 7696 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.8892, "step": 7697 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.7986, "step": 7698 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.828, "step": 7699 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.8358, "step": 7700 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 0.9168, "step": 7701 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 1.0668, "step": 7702 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.9706, "step": 7703 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.8806, "step": 7704 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.833, "step": 7705 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.975, "step": 7706 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.8034, "step": 7707 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.8436, "step": 7708 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.8173, "step": 7709 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.6324, "step": 7710 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.9918, "step": 7711 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.7142, "step": 7712 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.5676, "step": 7713 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.6714, "step": 7714 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.8914, "step": 7715 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.86, "step": 7716 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.6797, "step": 7717 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 1.1569, "step": 7718 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.8122, "step": 7719 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 1.1274, "step": 7720 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.5963, "step": 7721 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.6433, "step": 7722 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.648, "step": 7723 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.9593, "step": 7724 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.9367, "step": 7725 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.9273, "step": 7726 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.7475, "step": 7727 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 1.0148, "step": 7728 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.8773, "step": 7729 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.6718, "step": 7730 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 1.1524, "step": 7731 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.7195, "step": 7732 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.8571, "step": 7733 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.5645, "step": 7734 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.8879, "step": 7735 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.5322, "step": 7736 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.8935, "step": 7737 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.7957, "step": 7738 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.8336, "step": 7739 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.5777, "step": 7740 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.8566, "step": 7741 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 1.0012, "step": 7742 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.8843, "step": 7743 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.8883, "step": 7744 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.6743, "step": 7745 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 1.0948, "step": 7746 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.6952, "step": 7747 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.8371, "step": 7748 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.5849, "step": 7749 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.6477, "step": 7750 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 1.0239, "step": 7751 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.6513, "step": 7752 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.8194, "step": 7753 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.6448, "step": 7754 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.5951, "step": 7755 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.649, "step": 7756 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.7143, "step": 7757 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.8384, "step": 7758 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.7363, "step": 7759 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.96, "step": 7760 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.9112, "step": 7761 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.8332, "step": 7762 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 1.1687, "step": 7763 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.5619, "step": 7764 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.6208, "step": 7765 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.5035, "step": 7766 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.614, "step": 7767 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.7416, "step": 7768 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.8237, "step": 7769 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.8334, "step": 7770 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 1.003, "step": 7771 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.893, "step": 7772 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.8308, "step": 7773 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.8723, "step": 7774 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.6936, "step": 7775 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.7925, "step": 7776 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.7628, "step": 7777 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.9597, "step": 7778 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.9609, "step": 7779 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.9149, "step": 7780 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.7378, "step": 7781 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.7034, "step": 7782 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.8415, "step": 7783 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.9097, "step": 7784 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.7016, "step": 7785 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.9007, "step": 7786 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.852, "step": 7787 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.8222, "step": 7788 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.7717, "step": 7789 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.8259, "step": 7790 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.8152, "step": 7791 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.6545, "step": 7792 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 1.0231, "step": 7793 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.6965, "step": 7794 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.9163, "step": 7795 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.8197, "step": 7796 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.4805, "step": 7797 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.5562, "step": 7798 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.7134, "step": 7799 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.8526, "step": 7800 }, { "epoch": 1.35, "eval_loss": 0.9075995087623596, "eval_runtime": 110.3532, "eval_samples_per_second": 9.062, "eval_steps_per_second": 4.531, "step": 7800 }, { "epoch": 1.35, "mmlu_eval_accuracy": 0.5339005055505602, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.42857142857142855, "mmlu_eval_accuracy_astronomy": 0.625, "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": 0.5454545454545454, "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": 0.38461538461538464, "mmlu_eval_accuracy_econometrics": 0.4166666666666667, "mmlu_eval_accuracy_electrical_engineering": 0.375, "mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536, "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, "mmlu_eval_accuracy_global_facts": 0.5, "mmlu_eval_accuracy_high_school_biology": 0.59375, "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.8333333333333334, "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, "mmlu_eval_accuracy_high_school_macroeconomics": 0.46511627906976744, "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, "mmlu_eval_accuracy_high_school_microeconomics": 0.4230769230769231, "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, "mmlu_eval_accuracy_high_school_psychology": 0.85, "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, "mmlu_eval_accuracy_high_school_world_history": 0.6153846153846154, "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": 0.2727272727272727, "mmlu_eval_accuracy_management": 0.8181818181818182, "mmlu_eval_accuracy_marketing": 0.84, "mmlu_eval_accuracy_medical_genetics": 0.8181818181818182, "mmlu_eval_accuracy_miscellaneous": 0.7093023255813954, "mmlu_eval_accuracy_moral_disputes": 0.5, "mmlu_eval_accuracy_moral_scenarios": 0.35, "mmlu_eval_accuracy_nutrition": 0.6363636363636364, "mmlu_eval_accuracy_philosophy": 0.6764705882352942, "mmlu_eval_accuracy_prehistory": 0.6285714285714286, "mmlu_eval_accuracy_professional_accounting": 0.3225806451612903, "mmlu_eval_accuracy_professional_law": 0.3764705882352941, "mmlu_eval_accuracy_professional_medicine": 0.5483870967741935, "mmlu_eval_accuracy_professional_psychology": 0.6956521739130435, "mmlu_eval_accuracy_public_relations": 0.5, "mmlu_eval_accuracy_security_studies": 0.4444444444444444, "mmlu_eval_accuracy_sociology": 0.6363636363636364, "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, "mmlu_eval_accuracy_virology": 0.6111111111111112, "mmlu_eval_accuracy_world_religions": 0.47368421052631576, "mmlu_loss": 1.10490124398361, "step": 7800 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.7506, "step": 7801 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.3907, "step": 7802 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.9323, "step": 7803 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.8436, "step": 7804 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.5535, "step": 7805 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.7871, "step": 7806 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.8079, "step": 7807 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.7661, "step": 7808 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.9165, "step": 7809 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.8076, "step": 7810 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.7147, "step": 7811 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.5821, "step": 7812 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.678, "step": 7813 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.9655, "step": 7814 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.9877, "step": 7815 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.5936, "step": 7816 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 0.8074, "step": 7817 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.8983, "step": 7818 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.6912, "step": 7819 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.7853, "step": 7820 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.5451, "step": 7821 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.6253, "step": 7822 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.3571, "step": 7823 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 1.1238, "step": 7824 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.5318, "step": 7825 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.5995, "step": 7826 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 1.0082, "step": 7827 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.8508, "step": 7828 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.8312, "step": 7829 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.868, "step": 7830 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.9845, "step": 7831 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.7856, "step": 7832 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.846, "step": 7833 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.7218, "step": 7834 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.8877, "step": 7835 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.9272, "step": 7836 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.7484, "step": 7837 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.7999, "step": 7838 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.9037, "step": 7839 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 1.0637, "step": 7840 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.8161, "step": 7841 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.7593, "step": 7842 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.7532, "step": 7843 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.9413, "step": 7844 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.7333, "step": 7845 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.8641, "step": 7846 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.7646, "step": 7847 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.9062, "step": 7848 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.8307, "step": 7849 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.7122, "step": 7850 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.8124, "step": 7851 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.697, "step": 7852 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.5379, "step": 7853 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.9568, "step": 7854 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.6795, "step": 7855 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.6976, "step": 7856 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.845, "step": 7857 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.9598, "step": 7858 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.5681, "step": 7859 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.6606, "step": 7860 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.8737, "step": 7861 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.5414, "step": 7862 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.7046, "step": 7863 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.81, "step": 7864 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.9535, "step": 7865 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 1.1331, "step": 7866 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.7479, "step": 7867 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.6759, "step": 7868 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.7243, "step": 7869 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.7609, "step": 7870 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.6719, "step": 7871 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.7159, "step": 7872 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.7804, "step": 7873 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 1.0521, "step": 7874 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 0.8609, "step": 7875 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.6007, "step": 7876 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 1.1291, "step": 7877 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.723, "step": 7878 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.9968, "step": 7879 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.7918, "step": 7880 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.7266, "step": 7881 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 1.09, "step": 7882 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.7536, "step": 7883 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.717, "step": 7884 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.832, "step": 7885 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.736, "step": 7886 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.8855, "step": 7887 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 1.039, "step": 7888 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.5726, "step": 7889 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.9633, "step": 7890 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 1.1496, "step": 7891 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.7524, "step": 7892 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.6034, "step": 7893 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.6903, "step": 7894 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.612, "step": 7895 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.8953, "step": 7896 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.74, "step": 7897 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.7664, "step": 7898 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.6286, "step": 7899 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.7333, "step": 7900 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.6799, "step": 7901 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.5764, "step": 7902 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.8396, "step": 7903 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.7176, "step": 7904 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.5879, "step": 7905 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.8028, "step": 7906 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.7334, "step": 7907 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.786, "step": 7908 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.9695, "step": 7909 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.8516, "step": 7910 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.907, "step": 7911 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.8524, "step": 7912 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.9458, "step": 7913 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.8677, "step": 7914 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.92, "step": 7915 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.6669, "step": 7916 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.9735, "step": 7917 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.9273, "step": 7918 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.9111, "step": 7919 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.6553, "step": 7920 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.7982, "step": 7921 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.9602, "step": 7922 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.7826, "step": 7923 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.7209, "step": 7924 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.7698, "step": 7925 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.7284, "step": 7926 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.826, "step": 7927 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 1.0104, "step": 7928 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.8363, "step": 7929 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.8943, "step": 7930 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.9236, "step": 7931 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 0.7688, "step": 7932 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.6749, "step": 7933 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.4764, "step": 7934 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.8235, "step": 7935 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.9195, "step": 7936 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.8759, "step": 7937 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.8475, "step": 7938 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 1.0678, "step": 7939 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.7638, "step": 7940 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.6962, "step": 7941 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.6893, "step": 7942 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.9511, "step": 7943 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.6744, "step": 7944 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.8908, "step": 7945 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.9614, "step": 7946 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.5455, "step": 7947 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.879, "step": 7948 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.9049, "step": 7949 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.7806, "step": 7950 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.6789, "step": 7951 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.782, "step": 7952 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.613, "step": 7953 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.8979, "step": 7954 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.654, "step": 7955 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.6295, "step": 7956 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.7595, "step": 7957 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 1.0609, "step": 7958 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.4448, "step": 7959 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.6655, "step": 7960 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.7949, "step": 7961 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.7837, "step": 7962 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.8046, "step": 7963 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.7215, "step": 7964 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.9682, "step": 7965 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.817, "step": 7966 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.9496, "step": 7967 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.8807, "step": 7968 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.8319, "step": 7969 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.636, "step": 7970 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.7367, "step": 7971 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.8885, "step": 7972 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.8702, "step": 7973 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.7065, "step": 7974 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.9023, "step": 7975 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.7748, "step": 7976 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.9567, "step": 7977 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.7475, "step": 7978 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.6242, "step": 7979 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.9197, "step": 7980 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 1.0061, "step": 7981 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.506, "step": 7982 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.7785, "step": 7983 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.5789, "step": 7984 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 1.0821, "step": 7985 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.5879, "step": 7986 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.8495, "step": 7987 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.4702, "step": 7988 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.7912, "step": 7989 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 0.7115, "step": 7990 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.6708, "step": 7991 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.8765, "step": 7992 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.5048, "step": 7993 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.7753, "step": 7994 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.5329, "step": 7995 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 1.0569, "step": 7996 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.7214, "step": 7997 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.8964, "step": 7998 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.8014, "step": 7999 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.7579, "step": 8000 }, { "epoch": 1.39, "eval_loss": 0.9048460721969604, "eval_runtime": 110.3316, "eval_samples_per_second": 9.064, "eval_steps_per_second": 4.532, "step": 8000 }, { "epoch": 1.39, "mmlu_eval_accuracy": 0.5245711020300107, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.42857142857142855, "mmlu_eval_accuracy_astronomy": 0.6875, "mmlu_eval_accuracy_business_ethics": 0.45454545454545453, "mmlu_eval_accuracy_clinical_knowledge": 0.5517241379310345, "mmlu_eval_accuracy_college_biology": 0.75, "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": 0.45454545454545453, "mmlu_eval_accuracy_college_physics": 0.45454545454545453, "mmlu_eval_accuracy_computer_security": 0.5454545454545454, "mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464, "mmlu_eval_accuracy_econometrics": 0.4166666666666667, "mmlu_eval_accuracy_electrical_engineering": 0.3125, "mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536, "mmlu_eval_accuracy_formal_logic": 0.35714285714285715, "mmlu_eval_accuracy_global_facts": 0.4, "mmlu_eval_accuracy_high_school_biology": 0.59375, "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, "mmlu_eval_accuracy_high_school_computer_science": 0.4444444444444444, "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": 0.6666666666666666, "mmlu_eval_accuracy_high_school_macroeconomics": 0.4883720930232558, "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": 0.8833333333333333, "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": 0.6956521739130435, "mmlu_eval_accuracy_human_sexuality": 0.3333333333333333, "mmlu_eval_accuracy_international_law": 0.8461538461538461, "mmlu_eval_accuracy_jurisprudence": 0.5454545454545454, "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, "mmlu_eval_accuracy_management": 0.8181818181818182, "mmlu_eval_accuracy_marketing": 0.76, "mmlu_eval_accuracy_medical_genetics": 0.8181818181818182, "mmlu_eval_accuracy_miscellaneous": 0.7093023255813954, "mmlu_eval_accuracy_moral_disputes": 0.47368421052631576, "mmlu_eval_accuracy_moral_scenarios": 0.34, "mmlu_eval_accuracy_nutrition": 0.6666666666666666, "mmlu_eval_accuracy_philosophy": 0.5294117647058824, "mmlu_eval_accuracy_prehistory": 0.6285714285714286, "mmlu_eval_accuracy_professional_accounting": 0.22580645161290322, "mmlu_eval_accuracy_professional_law": 0.4176470588235294, "mmlu_eval_accuracy_professional_medicine": 0.5161290322580645, "mmlu_eval_accuracy_professional_psychology": 0.6086956521739131, "mmlu_eval_accuracy_public_relations": 0.4166666666666667, "mmlu_eval_accuracy_security_studies": 0.5185185185185185, "mmlu_eval_accuracy_sociology": 0.7727272727272727, "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, "mmlu_eval_accuracy_virology": 0.5555555555555556, "mmlu_eval_accuracy_world_religions": 0.631578947368421, "mmlu_loss": 1.1387577713625239, "step": 8000 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.642, "step": 8001 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.6937, "step": 8002 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 1.0338, "step": 8003 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 1.0135, "step": 8004 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.6199, "step": 8005 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.9947, "step": 8006 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.7706, "step": 8007 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.6526, "step": 8008 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.7366, "step": 8009 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.8917, "step": 8010 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.7804, "step": 8011 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.9018, "step": 8012 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 1.0007, "step": 8013 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.9098, "step": 8014 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 1.2088, "step": 8015 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.7644, "step": 8016 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.7172, "step": 8017 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.6299, "step": 8018 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.9764, "step": 8019 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.735, "step": 8020 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.9417, "step": 8021 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.4552, "step": 8022 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.8174, "step": 8023 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.5774, "step": 8024 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.55, "step": 8025 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.7846, "step": 8026 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.9611, "step": 8027 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.8383, "step": 8028 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.6483, "step": 8029 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 1.0413, "step": 8030 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.6057, "step": 8031 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.9823, "step": 8032 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.7678, "step": 8033 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.8247, "step": 8034 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.6054, "step": 8035 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.7411, "step": 8036 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.7575, "step": 8037 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.7951, "step": 8038 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.7523, "step": 8039 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.7738, "step": 8040 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.8894, "step": 8041 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.6274, "step": 8042 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.8693, "step": 8043 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.7179, "step": 8044 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.753, "step": 8045 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.832, "step": 8046 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.7588, "step": 8047 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 0.8136, "step": 8048 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.7752, "step": 8049 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 1.0018, "step": 8050 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.8328, "step": 8051 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.9712, "step": 8052 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.8635, "step": 8053 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.6031, "step": 8054 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.8093, "step": 8055 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.7079, "step": 8056 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.9427, "step": 8057 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.8158, "step": 8058 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.7331, "step": 8059 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.94, "step": 8060 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.5582, "step": 8061 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.728, "step": 8062 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.6626, "step": 8063 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.8037, "step": 8064 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.6091, "step": 8065 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.886, "step": 8066 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.7647, "step": 8067 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.9985, "step": 8068 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.6747, "step": 8069 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.7413, "step": 8070 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.6809, "step": 8071 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.7248, "step": 8072 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.8646, "step": 8073 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.7455, "step": 8074 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.8647, "step": 8075 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.8319, "step": 8076 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.6038, "step": 8077 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.6698, "step": 8078 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.924, "step": 8079 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.6827, "step": 8080 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.5312, "step": 8081 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.9095, "step": 8082 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.8103, "step": 8083 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.647, "step": 8084 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.7615, "step": 8085 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.9666, "step": 8086 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.7216, "step": 8087 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.8359, "step": 8088 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.7341, "step": 8089 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.8361, "step": 8090 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.8284, "step": 8091 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.8394, "step": 8092 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.775, "step": 8093 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.7833, "step": 8094 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.6638, "step": 8095 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.7765, "step": 8096 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.5322, "step": 8097 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.8646, "step": 8098 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.7485, "step": 8099 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.7935, "step": 8100 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.4358, "step": 8101 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 1.0693, "step": 8102 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.4855, "step": 8103 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.8816, "step": 8104 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 0.7669, "step": 8105 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.8863, "step": 8106 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.954, "step": 8107 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.8655, "step": 8108 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.9907, "step": 8109 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.9666, "step": 8110 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.7042, "step": 8111 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.8213, "step": 8112 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.6158, "step": 8113 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.7193, "step": 8114 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 1.1896, "step": 8115 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.9004, "step": 8116 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.9652, "step": 8117 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.5106, "step": 8118 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.7527, "step": 8119 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.6892, "step": 8120 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.7943, "step": 8121 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.5278, "step": 8122 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.7058, "step": 8123 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.8206, "step": 8124 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.6586, "step": 8125 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.6736, "step": 8126 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.7228, "step": 8127 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.7312, "step": 8128 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.6835, "step": 8129 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 1.0227, "step": 8130 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.7626, "step": 8131 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.8045, "step": 8132 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.9204, "step": 8133 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.8876, "step": 8134 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.7833, "step": 8135 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.6567, "step": 8136 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.8605, "step": 8137 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.8105, "step": 8138 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.6392, "step": 8139 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.6708, "step": 8140 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.6082, "step": 8141 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.6775, "step": 8142 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.9247, "step": 8143 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.7464, "step": 8144 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.9631, "step": 8145 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.6397, "step": 8146 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.6945, "step": 8147 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.7067, "step": 8148 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.835, "step": 8149 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.5559, "step": 8150 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.8026, "step": 8151 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.8001, "step": 8152 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.804, "step": 8153 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.7345, "step": 8154 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.8662, "step": 8155 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.7222, "step": 8156 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.9408, "step": 8157 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.8567, "step": 8158 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.6854, "step": 8159 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.9258, "step": 8160 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.7796, "step": 8161 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.6802, "step": 8162 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 0.7109, "step": 8163 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.5074, "step": 8164 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.6798, "step": 8165 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.8927, "step": 8166 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.913, "step": 8167 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.7375, "step": 8168 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.7093, "step": 8169 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 1.0361, "step": 8170 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.9069, "step": 8171 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.6986, "step": 8172 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.7286, "step": 8173 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 1.0765, "step": 8174 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.9212, "step": 8175 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 1.0367, "step": 8176 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.6314, "step": 8177 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.9902, "step": 8178 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.7309, "step": 8179 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.6666, "step": 8180 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.719, "step": 8181 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.8168, "step": 8182 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.5246, "step": 8183 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.775, "step": 8184 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.554, "step": 8185 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.7689, "step": 8186 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.5992, "step": 8187 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.7275, "step": 8188 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.8388, "step": 8189 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.7422, "step": 8190 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.7876, "step": 8191 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.7397, "step": 8192 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.7166, "step": 8193 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 1.1205, "step": 8194 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.8123, "step": 8195 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.9044, "step": 8196 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.7166, "step": 8197 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.8283, "step": 8198 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.795, "step": 8199 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.5248, "step": 8200 }, { "epoch": 1.42, "eval_loss": 0.9096055030822754, "eval_runtime": 110.2652, "eval_samples_per_second": 9.069, "eval_steps_per_second": 4.535, "step": 8200 }, { "epoch": 1.42, "mmlu_eval_accuracy": 0.49756119246490815, "mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182, "mmlu_eval_accuracy_anatomy": 0.42857142857142855, "mmlu_eval_accuracy_astronomy": 0.625, "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, "mmlu_eval_accuracy_college_biology": 0.5, "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": 0.2727272727272727, "mmlu_eval_accuracy_conceptual_physics": 0.46153846153846156, "mmlu_eval_accuracy_econometrics": 0.16666666666666666, "mmlu_eval_accuracy_electrical_engineering": 0.375, "mmlu_eval_accuracy_elementary_mathematics": 0.2682926829268293, "mmlu_eval_accuracy_formal_logic": 0.07142857142857142, "mmlu_eval_accuracy_global_facts": 0.3, "mmlu_eval_accuracy_high_school_biology": 0.5, "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, "mmlu_eval_accuracy_high_school_computer_science": 0.4444444444444444, "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": 0.6190476190476191, "mmlu_eval_accuracy_high_school_macroeconomics": 0.4418604651162791, "mmlu_eval_accuracy_high_school_mathematics": 0.3793103448275862, "mmlu_eval_accuracy_high_school_microeconomics": 0.5384615384615384, "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, "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": 0.6153846153846154, "mmlu_eval_accuracy_human_aging": 0.7391304347826086, "mmlu_eval_accuracy_human_sexuality": 0.25, "mmlu_eval_accuracy_international_law": 0.7692307692307693, "mmlu_eval_accuracy_jurisprudence": 0.45454545454545453, "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, "mmlu_eval_accuracy_machine_learning": 0.36363636363636365, "mmlu_eval_accuracy_management": 0.7272727272727273, "mmlu_eval_accuracy_marketing": 0.84, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.6744186046511628, "mmlu_eval_accuracy_moral_disputes": 0.3684210526315789, "mmlu_eval_accuracy_moral_scenarios": 0.25, "mmlu_eval_accuracy_nutrition": 0.5454545454545454, "mmlu_eval_accuracy_philosophy": 0.6176470588235294, "mmlu_eval_accuracy_prehistory": 0.5714285714285714, "mmlu_eval_accuracy_professional_accounting": 0.3870967741935484, "mmlu_eval_accuracy_professional_law": 0.35294117647058826, "mmlu_eval_accuracy_professional_medicine": 0.4838709677419355, "mmlu_eval_accuracy_professional_psychology": 0.6376811594202898, "mmlu_eval_accuracy_public_relations": 0.5, "mmlu_eval_accuracy_security_studies": 0.5555555555555556, "mmlu_eval_accuracy_sociology": 0.6363636363636364, "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, "mmlu_eval_accuracy_virology": 0.5555555555555556, "mmlu_eval_accuracy_world_religions": 0.6842105263157895, "mmlu_loss": 0.8942611511242297, "step": 8200 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.7672, "step": 8201 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.7281, "step": 8202 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.7728, "step": 8203 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.9234, "step": 8204 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.7945, "step": 8205 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.8987, "step": 8206 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.8149, "step": 8207 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.8903, "step": 8208 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.8892, "step": 8209 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.8833, "step": 8210 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.889, "step": 8211 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.7129, "step": 8212 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 1.0074, "step": 8213 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.7825, "step": 8214 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.7101, "step": 8215 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.8458, "step": 8216 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.8688, "step": 8217 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.5813, "step": 8218 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.9867, "step": 8219 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.7498, "step": 8220 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 0.6604, "step": 8221 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 1.1093, "step": 8222 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.5636, "step": 8223 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.6787, "step": 8224 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.5283, "step": 8225 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.5539, "step": 8226 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.9673, "step": 8227 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.721, "step": 8228 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.9279, "step": 8229 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.8103, "step": 8230 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.8391, "step": 8231 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.8213, "step": 8232 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 1.1322, "step": 8233 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.956, "step": 8234 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.7053, "step": 8235 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.7836, "step": 8236 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.6784, "step": 8237 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.7392, "step": 8238 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 1.0186, "step": 8239 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.5508, "step": 8240 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.8197, "step": 8241 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.7928, "step": 8242 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.898, "step": 8243 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.7993, "step": 8244 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.9337, "step": 8245 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.8126, "step": 8246 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 1.0108, "step": 8247 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.6578, "step": 8248 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.6811, "step": 8249 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.8033, "step": 8250 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 1.183, "step": 8251 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.6788, "step": 8252 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.9067, "step": 8253 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.9082, "step": 8254 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.7113, "step": 8255 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.8162, "step": 8256 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.7179, "step": 8257 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.6823, "step": 8258 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.6898, "step": 8259 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.869, "step": 8260 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 1.1244, "step": 8261 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.9207, "step": 8262 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 1.0335, "step": 8263 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.672, "step": 8264 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 1.0006, "step": 8265 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.8739, "step": 8266 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.6812, "step": 8267 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.8537, "step": 8268 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.8593, "step": 8269 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.8258, "step": 8270 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.8135, "step": 8271 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.9057, "step": 8272 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.793, "step": 8273 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.7646, "step": 8274 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.9118, "step": 8275 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.9116, "step": 8276 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.9071, "step": 8277 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 0.8436, "step": 8278 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.7755, "step": 8279 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.462, "step": 8280 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.7421, "step": 8281 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.5548, "step": 8282 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 1.13, "step": 8283 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.874, "step": 8284 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.7194, "step": 8285 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 1.0843, "step": 8286 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 1.0297, "step": 8287 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.7516, "step": 8288 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.7956, "step": 8289 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.7912, "step": 8290 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.9978, "step": 8291 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.8587, "step": 8292 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.8514, "step": 8293 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.7537, "step": 8294 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.6552, "step": 8295 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.9687, "step": 8296 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.631, "step": 8297 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.6005, "step": 8298 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.7827, "step": 8299 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.7492, "step": 8300 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.5024, "step": 8301 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.5873, "step": 8302 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.6421, "step": 8303 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.7241, "step": 8304 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.7436, "step": 8305 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.8638, "step": 8306 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.7829, "step": 8307 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.8989, "step": 8308 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.8834, "step": 8309 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.6887, "step": 8310 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.7973, "step": 8311 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.6319, "step": 8312 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.7913, "step": 8313 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.9763, "step": 8314 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 1.0151, "step": 8315 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 1.054, "step": 8316 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.8215, "step": 8317 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.9173, "step": 8318 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.6199, "step": 8319 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.6608, "step": 8320 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.6799, "step": 8321 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.91, "step": 8322 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.6538, "step": 8323 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 1.0181, "step": 8324 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.8766, "step": 8325 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.4652, "step": 8326 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.4779, "step": 8327 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.8422, "step": 8328 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.848, "step": 8329 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.8959, "step": 8330 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.5357, "step": 8331 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.9907, "step": 8332 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.9305, "step": 8333 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.6856, "step": 8334 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.5916, "step": 8335 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 0.8857, "step": 8336 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.5235, "step": 8337 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.8237, "step": 8338 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.7641, "step": 8339 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.6607, "step": 8340 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 1.0416, "step": 8341 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.8311, "step": 8342 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.8073, "step": 8343 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.8262, "step": 8344 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.8414, "step": 8345 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.9731, "step": 8346 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.7125, "step": 8347 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.7856, "step": 8348 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.7575, "step": 8349 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.875, "step": 8350 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.844, "step": 8351 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.9606, "step": 8352 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.8547, "step": 8353 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.7521, "step": 8354 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.5558, "step": 8355 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.8245, "step": 8356 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.7482, "step": 8357 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.933, "step": 8358 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.7233, "step": 8359 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.8868, "step": 8360 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 1.0069, "step": 8361 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.8218, "step": 8362 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.7313, "step": 8363 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.8358, "step": 8364 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.9751, "step": 8365 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.5723, "step": 8366 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.6885, "step": 8367 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.8722, "step": 8368 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.9213, "step": 8369 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.8364, "step": 8370 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.6141, "step": 8371 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.7604, "step": 8372 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.7359, "step": 8373 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.8873, "step": 8374 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.797, "step": 8375 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.8377, "step": 8376 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.9149, "step": 8377 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.6959, "step": 8378 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.9313, "step": 8379 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.8006, "step": 8380 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.4894, "step": 8381 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 1.251, "step": 8382 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.7625, "step": 8383 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.7508, "step": 8384 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.8286, "step": 8385 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.8671, "step": 8386 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.7373, "step": 8387 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.9418, "step": 8388 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.8101, "step": 8389 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.8275, "step": 8390 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.6852, "step": 8391 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.7261, "step": 8392 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.742, "step": 8393 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 0.6824, "step": 8394 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.5482, "step": 8395 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.7859, "step": 8396 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.7697, "step": 8397 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.9027, "step": 8398 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.7865, "step": 8399 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.7898, "step": 8400 }, { "epoch": 1.46, "eval_loss": 0.9060565233230591, "eval_runtime": 110.3301, "eval_samples_per_second": 9.064, "eval_steps_per_second": 4.532, "step": 8400 }, { "epoch": 1.46, "mmlu_eval_accuracy": 0.4913856014145544, "mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182, "mmlu_eval_accuracy_anatomy": 0.5, "mmlu_eval_accuracy_astronomy": 0.5625, "mmlu_eval_accuracy_business_ethics": 0.45454545454545453, "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": 0.45454545454545453, "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": 0.45454545454545453, "mmlu_eval_accuracy_conceptual_physics": 0.34615384615384615, "mmlu_eval_accuracy_econometrics": 0.4166666666666667, "mmlu_eval_accuracy_electrical_engineering": 0.4375, "mmlu_eval_accuracy_elementary_mathematics": 0.2926829268292683, "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, "mmlu_eval_accuracy_global_facts": 0.5, "mmlu_eval_accuracy_high_school_biology": 0.34375, "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182, "mmlu_eval_accuracy_high_school_computer_science": 0.4444444444444444, "mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112, "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, "mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191, "mmlu_eval_accuracy_high_school_macroeconomics": 0.46511627906976744, "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, "mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156, "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, "mmlu_eval_accuracy_high_school_psychology": 0.85, "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, "mmlu_eval_accuracy_high_school_world_history": 0.6153846153846154, "mmlu_eval_accuracy_human_aging": 0.6956521739130435, "mmlu_eval_accuracy_human_sexuality": 0.25, "mmlu_eval_accuracy_international_law": 0.6923076923076923, "mmlu_eval_accuracy_jurisprudence": 0.5454545454545454, "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, "mmlu_eval_accuracy_machine_learning": 0.36363636363636365, "mmlu_eval_accuracy_management": 0.7272727272727273, "mmlu_eval_accuracy_marketing": 0.76, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.6976744186046512, "mmlu_eval_accuracy_moral_disputes": 0.42105263157894735, "mmlu_eval_accuracy_moral_scenarios": 0.34, "mmlu_eval_accuracy_nutrition": 0.5151515151515151, "mmlu_eval_accuracy_philosophy": 0.6764705882352942, "mmlu_eval_accuracy_prehistory": 0.4, "mmlu_eval_accuracy_professional_accounting": 0.3225806451612903, "mmlu_eval_accuracy_professional_law": 0.35294117647058826, "mmlu_eval_accuracy_professional_medicine": 0.4838709677419355, "mmlu_eval_accuracy_professional_psychology": 0.5942028985507246, "mmlu_eval_accuracy_public_relations": 0.4166666666666667, "mmlu_eval_accuracy_security_studies": 0.48148148148148145, "mmlu_eval_accuracy_sociology": 0.6818181818181818, "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, "mmlu_eval_accuracy_virology": 0.5, "mmlu_eval_accuracy_world_religions": 0.5789473684210527, "mmlu_loss": 0.8857356429917072, "step": 8400 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.4029, "step": 8401 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.7866, "step": 8402 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.6839, "step": 8403 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.6704, "step": 8404 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.9595, "step": 8405 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.7757, "step": 8406 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.7481, "step": 8407 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.8704, "step": 8408 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.7998, "step": 8409 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.664, "step": 8410 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.7556, "step": 8411 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.9979, "step": 8412 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.7399, "step": 8413 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.6091, "step": 8414 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.7448, "step": 8415 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.7934, "step": 8416 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.7369, "step": 8417 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.7234, "step": 8418 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.606, "step": 8419 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 1.1976, "step": 8420 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.7103, "step": 8421 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.9155, "step": 8422 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.852, "step": 8423 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.5462, "step": 8424 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.6809, "step": 8425 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 1.004, "step": 8426 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.8506, "step": 8427 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.9306, "step": 8428 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 1.0564, "step": 8429 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.9105, "step": 8430 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.816, "step": 8431 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 1.0552, "step": 8432 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.7539, "step": 8433 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.976, "step": 8434 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.9061, "step": 8435 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.8281, "step": 8436 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.8188, "step": 8437 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 1.0327, "step": 8438 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.4162, "step": 8439 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.8775, "step": 8440 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.8407, "step": 8441 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.8948, "step": 8442 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.7384, "step": 8443 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.7928, "step": 8444 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.5284, "step": 8445 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.8095, "step": 8446 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.8356, "step": 8447 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.579, "step": 8448 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.6984, "step": 8449 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.758, "step": 8450 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 0.8659, "step": 8451 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.5832, "step": 8452 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.65, "step": 8453 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.7616, "step": 8454 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.7767, "step": 8455 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.7868, "step": 8456 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.6473, "step": 8457 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.8896, "step": 8458 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.985, "step": 8459 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.6869, "step": 8460 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.7099, "step": 8461 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.9056, "step": 8462 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.5686, "step": 8463 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.7405, "step": 8464 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.7297, "step": 8465 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.6995, "step": 8466 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.967, "step": 8467 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.5994, "step": 8468 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.7941, "step": 8469 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.7803, "step": 8470 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.8323, "step": 8471 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.9611, "step": 8472 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.7867, "step": 8473 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.6486, "step": 8474 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.8275, "step": 8475 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.8417, "step": 8476 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 1.0187, "step": 8477 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.7312, "step": 8478 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.8905, "step": 8479 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.7347, "step": 8480 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.7886, "step": 8481 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.8251, "step": 8482 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.8814, "step": 8483 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.7857, "step": 8484 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.5956, "step": 8485 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 1.0812, "step": 8486 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.927, "step": 8487 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.7721, "step": 8488 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.825, "step": 8489 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 1.0117, "step": 8490 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.7743, "step": 8491 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.9183, "step": 8492 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.5973, "step": 8493 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.9423, "step": 8494 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.8639, "step": 8495 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.548, "step": 8496 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.9417, "step": 8497 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.5354, "step": 8498 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.7131, "step": 8499 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.9488, "step": 8500 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.4556, "step": 8501 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.9657, "step": 8502 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.9161, "step": 8503 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 1.1594, "step": 8504 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.8041, "step": 8505 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 1.017, "step": 8506 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.5982, "step": 8507 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.8433, "step": 8508 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 0.7006, "step": 8509 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.8417, "step": 8510 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.9396, "step": 8511 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.7344, "step": 8512 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.9706, "step": 8513 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.9194, "step": 8514 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.63, "step": 8515 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.7871, "step": 8516 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.7084, "step": 8517 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.9823, "step": 8518 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.7321, "step": 8519 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.8342, "step": 8520 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.8241, "step": 8521 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.8709, "step": 8522 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.87, "step": 8523 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.8107, "step": 8524 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.5762, "step": 8525 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.89, "step": 8526 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.9021, "step": 8527 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.8075, "step": 8528 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.6761, "step": 8529 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.7564, "step": 8530 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.7696, "step": 8531 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.9009, "step": 8532 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.8111, "step": 8533 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.6293, "step": 8534 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.8918, "step": 8535 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.8909, "step": 8536 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.8094, "step": 8537 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 1.0909, "step": 8538 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.6725, "step": 8539 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.8095, "step": 8540 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.8478, "step": 8541 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.7765, "step": 8542 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.9989, "step": 8543 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.872, "step": 8544 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.7631, "step": 8545 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.8522, "step": 8546 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.8881, "step": 8547 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.9129, "step": 8548 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.8761, "step": 8549 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.7769, "step": 8550 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.551, "step": 8551 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.871, "step": 8552 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.9303, "step": 8553 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.6346, "step": 8554 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.8034, "step": 8555 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.8476, "step": 8556 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.7912, "step": 8557 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.7128, "step": 8558 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.4937, "step": 8559 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.8353, "step": 8560 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.8914, "step": 8561 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.9445, "step": 8562 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 1.1927, "step": 8563 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.9065, "step": 8564 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.896, "step": 8565 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 0.7381, "step": 8566 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 1.0654, "step": 8567 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.8511, "step": 8568 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.7412, "step": 8569 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.7079, "step": 8570 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.8833, "step": 8571 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.732, "step": 8572 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.9814, "step": 8573 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.6149, "step": 8574 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.8562, "step": 8575 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.874, "step": 8576 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.9076, "step": 8577 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.9147, "step": 8578 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.6967, "step": 8579 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.8271, "step": 8580 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.8936, "step": 8581 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.8977, "step": 8582 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.7877, "step": 8583 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.685, "step": 8584 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.8557, "step": 8585 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.8436, "step": 8586 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.9379, "step": 8587 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.9194, "step": 8588 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.6788, "step": 8589 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.7926, "step": 8590 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 1.1807, "step": 8591 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.7224, "step": 8592 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.739, "step": 8593 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.3373, "step": 8594 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.9627, "step": 8595 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.6006, "step": 8596 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.9133, "step": 8597 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.7226, "step": 8598 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.8329, "step": 8599 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.6133, "step": 8600 }, { "epoch": 1.49, "eval_loss": 0.9057509899139404, "eval_runtime": 110.2177, "eval_samples_per_second": 9.073, "eval_steps_per_second": 4.536, "step": 8600 }, { "epoch": 1.49, "mmlu_eval_accuracy": 0.5030797591782125, "mmlu_eval_accuracy_abstract_algebra": 0.45454545454545453, "mmlu_eval_accuracy_anatomy": 0.35714285714285715, "mmlu_eval_accuracy_astronomy": 0.5625, "mmlu_eval_accuracy_business_ethics": 0.45454545454545453, "mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241, "mmlu_eval_accuracy_college_biology": 0.625, "mmlu_eval_accuracy_college_chemistry": 0.125, "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727, "mmlu_eval_accuracy_college_medicine": 0.5909090909090909, "mmlu_eval_accuracy_college_physics": 0.5454545454545454, "mmlu_eval_accuracy_computer_security": 0.36363636363636365, "mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464, "mmlu_eval_accuracy_econometrics": 0.4166666666666667, "mmlu_eval_accuracy_electrical_engineering": 0.5625, "mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244, "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, "mmlu_eval_accuracy_global_facts": 0.4, "mmlu_eval_accuracy_high_school_biology": 0.40625, "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.6666666666666666, "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, "mmlu_eval_accuracy_high_school_government_and_politics": 0.5714285714285714, "mmlu_eval_accuracy_high_school_macroeconomics": 0.4883720930232558, "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, "mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156, "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, "mmlu_eval_accuracy_high_school_psychology": 0.8, "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, "mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364, "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, "mmlu_eval_accuracy_human_aging": 0.6956521739130435, "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": 0.6666666666666666, "mmlu_eval_accuracy_machine_learning": 0.18181818181818182, "mmlu_eval_accuracy_management": 0.7272727272727273, "mmlu_eval_accuracy_marketing": 0.76, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.6744186046511628, "mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, "mmlu_eval_accuracy_moral_scenarios": 0.33, "mmlu_eval_accuracy_nutrition": 0.6363636363636364, "mmlu_eval_accuracy_philosophy": 0.5882352941176471, "mmlu_eval_accuracy_prehistory": 0.42857142857142855, "mmlu_eval_accuracy_professional_accounting": 0.41935483870967744, "mmlu_eval_accuracy_professional_law": 0.3176470588235294, "mmlu_eval_accuracy_professional_medicine": 0.5806451612903226, "mmlu_eval_accuracy_professional_psychology": 0.5362318840579711, "mmlu_eval_accuracy_public_relations": 0.4166666666666667, "mmlu_eval_accuracy_security_studies": 0.4074074074074074, "mmlu_eval_accuracy_sociology": 0.6818181818181818, "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, "mmlu_eval_accuracy_virology": 0.4444444444444444, "mmlu_eval_accuracy_world_religions": 0.47368421052631576, "mmlu_loss": 0.9551093283622445, "step": 8600 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.8006, "step": 8601 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.878, "step": 8602 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.5891, "step": 8603 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.5546, "step": 8604 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.8372, "step": 8605 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.6569, "step": 8606 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 1.2512, "step": 8607 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.9644, "step": 8608 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.7815, "step": 8609 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.6212, "step": 8610 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 1.0532, "step": 8611 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.7048, "step": 8612 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.8505, "step": 8613 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.891, "step": 8614 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.9845, "step": 8615 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.6224, "step": 8616 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.7885, "step": 8617 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.947, "step": 8618 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.8089, "step": 8619 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.7231, "step": 8620 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.8717, "step": 8621 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.7973, "step": 8622 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.9129, "step": 8623 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.7863, "step": 8624 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 0.6523, "step": 8625 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.8892, "step": 8626 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.9444, "step": 8627 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.4916, "step": 8628 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.6283, "step": 8629 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.6295, "step": 8630 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.7827, "step": 8631 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.591, "step": 8632 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.5798, "step": 8633 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.6524, "step": 8634 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 1.1053, "step": 8635 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.5116, "step": 8636 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.7688, "step": 8637 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.7861, "step": 8638 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.7611, "step": 8639 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.5424, "step": 8640 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.9559, "step": 8641 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.601, "step": 8642 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.9779, "step": 8643 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.9226, "step": 8644 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.8849, "step": 8645 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.6248, "step": 8646 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.5666, "step": 8647 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.6889, "step": 8648 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.7252, "step": 8649 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.8655, "step": 8650 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.9488, "step": 8651 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.7679, "step": 8652 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.7164, "step": 8653 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.6935, "step": 8654 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.7599, "step": 8655 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.8797, "step": 8656 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.8353, "step": 8657 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.8124, "step": 8658 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.9274, "step": 8659 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.6897, "step": 8660 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.7637, "step": 8661 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.7071, "step": 8662 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.6495, "step": 8663 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.7212, "step": 8664 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.8406, "step": 8665 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.761, "step": 8666 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.7954, "step": 8667 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.8627, "step": 8668 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.7444, "step": 8669 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.8973, "step": 8670 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.4786, "step": 8671 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.8364, "step": 8672 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.8239, "step": 8673 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 1.0093, "step": 8674 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.9872, "step": 8675 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.6441, "step": 8676 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.7872, "step": 8677 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.6491, "step": 8678 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.7751, "step": 8679 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.7029, "step": 8680 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 0.8799, "step": 8681 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 1.0092, "step": 8682 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.8403, "step": 8683 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.7303, "step": 8684 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.7951, "step": 8685 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 1.0194, "step": 8686 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.8468, "step": 8687 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.4721, "step": 8688 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.7025, "step": 8689 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.8193, "step": 8690 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.7533, "step": 8691 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.6977, "step": 8692 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.814, "step": 8693 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 1.1265, "step": 8694 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.9311, "step": 8695 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.7048, "step": 8696 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.8817, "step": 8697 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.6052, "step": 8698 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.5698, "step": 8699 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.8749, "step": 8700 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.7862, "step": 8701 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.8653, "step": 8702 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.9262, "step": 8703 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.9098, "step": 8704 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.7343, "step": 8705 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.8859, "step": 8706 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.8731, "step": 8707 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.4383, "step": 8708 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.8836, "step": 8709 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.782, "step": 8710 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.789, "step": 8711 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.862, "step": 8712 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.672, "step": 8713 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.8284, "step": 8714 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.4607, "step": 8715 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 1.2179, "step": 8716 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.8483, "step": 8717 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.9265, "step": 8718 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.7352, "step": 8719 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.8011, "step": 8720 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.7349, "step": 8721 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.8016, "step": 8722 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.8716, "step": 8723 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.9162, "step": 8724 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.9104, "step": 8725 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.7596, "step": 8726 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.6889, "step": 8727 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 1.1105, "step": 8728 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.7275, "step": 8729 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.991, "step": 8730 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.9618, "step": 8731 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.7154, "step": 8732 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.962, "step": 8733 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.8238, "step": 8734 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.7324, "step": 8735 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.6871, "step": 8736 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 1.1081, "step": 8737 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.7411, "step": 8738 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.755, "step": 8739 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 0.6884, "step": 8740 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.9577, "step": 8741 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.8832, "step": 8742 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.7513, "step": 8743 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.7615, "step": 8744 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.4866, "step": 8745 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 1.0196, "step": 8746 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.9576, "step": 8747 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.853, "step": 8748 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.5564, "step": 8749 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.6155, "step": 8750 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.9258, "step": 8751 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.6999, "step": 8752 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 1.0137, "step": 8753 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.778, "step": 8754 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.8439, "step": 8755 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.6716, "step": 8756 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.7974, "step": 8757 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.7244, "step": 8758 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.8835, "step": 8759 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.8075, "step": 8760 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.6395, "step": 8761 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.9324, "step": 8762 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.6291, "step": 8763 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.7595, "step": 8764 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.8024, "step": 8765 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.7485, "step": 8766 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.6328, "step": 8767 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.813, "step": 8768 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.7665, "step": 8769 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.9388, "step": 8770 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.6107, "step": 8771 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.7298, "step": 8772 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.6162, "step": 8773 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.8855, "step": 8774 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.6096, "step": 8775 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.7749, "step": 8776 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.8631, "step": 8777 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.8849, "step": 8778 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.7801, "step": 8779 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.8033, "step": 8780 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.6978, "step": 8781 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.7421, "step": 8782 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.9836, "step": 8783 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.9341, "step": 8784 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.9662, "step": 8785 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.7616, "step": 8786 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.6421, "step": 8787 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.9549, "step": 8788 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.6632, "step": 8789 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.7876, "step": 8790 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.68, "step": 8791 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.6459, "step": 8792 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.9136, "step": 8793 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.8477, "step": 8794 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.7468, "step": 8795 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.8223, "step": 8796 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 0.7131, "step": 8797 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 1.007, "step": 8798 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 1.1338, "step": 8799 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.8107, "step": 8800 }, { "epoch": 1.53, "eval_loss": 0.9056406021118164, "eval_runtime": 110.252, "eval_samples_per_second": 9.07, "eval_steps_per_second": 4.535, "step": 8800 }, { "epoch": 1.53, "mmlu_eval_accuracy": 0.5013731735842317, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.35714285714285715, "mmlu_eval_accuracy_astronomy": 0.4375, "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, "mmlu_eval_accuracy_clinical_knowledge": 0.5517241379310345, "mmlu_eval_accuracy_college_biology": 0.5, "mmlu_eval_accuracy_college_chemistry": 0.125, "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, "mmlu_eval_accuracy_college_mathematics": 0.36363636363636365, "mmlu_eval_accuracy_college_medicine": 0.5, "mmlu_eval_accuracy_college_physics": 0.5454545454545454, "mmlu_eval_accuracy_computer_security": 0.45454545454545453, "mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464, "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": 0.14285714285714285, "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": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.8333333333333334, "mmlu_eval_accuracy_high_school_geography": 0.7272727272727273, "mmlu_eval_accuracy_high_school_government_and_politics": 0.5714285714285714, "mmlu_eval_accuracy_high_school_macroeconomics": 0.5116279069767442, "mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483, "mmlu_eval_accuracy_high_school_microeconomics": 0.5, "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, "mmlu_eval_accuracy_high_school_psychology": 0.85, "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, "mmlu_eval_accuracy_high_school_world_history": 0.6153846153846154, "mmlu_eval_accuracy_human_aging": 0.6956521739130435, "mmlu_eval_accuracy_human_sexuality": 0.25, "mmlu_eval_accuracy_international_law": 0.7692307692307693, "mmlu_eval_accuracy_jurisprudence": 0.45454545454545453, "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, "mmlu_eval_accuracy_machine_learning": 0.2727272727272727, "mmlu_eval_accuracy_management": 0.6363636363636364, "mmlu_eval_accuracy_marketing": 0.84, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.7093023255813954, "mmlu_eval_accuracy_moral_disputes": 0.47368421052631576, "mmlu_eval_accuracy_moral_scenarios": 0.4, "mmlu_eval_accuracy_nutrition": 0.6060606060606061, "mmlu_eval_accuracy_philosophy": 0.6470588235294118, "mmlu_eval_accuracy_prehistory": 0.4857142857142857, "mmlu_eval_accuracy_professional_accounting": 0.3870967741935484, "mmlu_eval_accuracy_professional_law": 0.3764705882352941, "mmlu_eval_accuracy_professional_medicine": 0.5161290322580645, "mmlu_eval_accuracy_professional_psychology": 0.5652173913043478, "mmlu_eval_accuracy_public_relations": 0.5, "mmlu_eval_accuracy_security_studies": 0.5555555555555556, "mmlu_eval_accuracy_sociology": 0.6363636363636364, "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, "mmlu_eval_accuracy_virology": 0.5, "mmlu_eval_accuracy_world_religions": 0.5789473684210527, "mmlu_loss": 1.205804779036238, "step": 8800 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.8631, "step": 8801 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 1.0086, "step": 8802 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 1.0649, "step": 8803 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 1.0599, "step": 8804 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.807, "step": 8805 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.7545, "step": 8806 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.9364, "step": 8807 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.9716, "step": 8808 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.9317, "step": 8809 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.7299, "step": 8810 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.5718, "step": 8811 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.8115, "step": 8812 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.8536, "step": 8813 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.9803, "step": 8814 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.751, "step": 8815 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.6668, "step": 8816 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.8905, "step": 8817 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.8186, "step": 8818 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.4807, "step": 8819 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.9539, "step": 8820 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.8178, "step": 8821 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.6108, "step": 8822 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.8371, "step": 8823 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.5595, "step": 8824 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.7452, "step": 8825 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.6811, "step": 8826 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.7861, "step": 8827 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.9018, "step": 8828 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 1.0196, "step": 8829 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.905, "step": 8830 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.4781, "step": 8831 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.6676, "step": 8832 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.7113, "step": 8833 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.7016, "step": 8834 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.6556, "step": 8835 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 1.0089, "step": 8836 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.7939, "step": 8837 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.8339, "step": 8838 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.8097, "step": 8839 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.9059, "step": 8840 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.8964, "step": 8841 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.6834, "step": 8842 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.4965, "step": 8843 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.8636, "step": 8844 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.5398, "step": 8845 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.7691, "step": 8846 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.5487, "step": 8847 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.7681, "step": 8848 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 1.2909, "step": 8849 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.6849, "step": 8850 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.7011, "step": 8851 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.7588, "step": 8852 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.9182, "step": 8853 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.8184, "step": 8854 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 0.8387, "step": 8855 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.7366, "step": 8856 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.894, "step": 8857 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.9624, "step": 8858 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.762, "step": 8859 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.6303, "step": 8860 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.7829, "step": 8861 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.9341, "step": 8862 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.9656, "step": 8863 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.6615, "step": 8864 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.6647, "step": 8865 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.6047, "step": 8866 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 1.066, "step": 8867 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.6113, "step": 8868 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.9747, "step": 8869 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.5981, "step": 8870 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.8562, "step": 8871 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.8925, "step": 8872 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.695, "step": 8873 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.827, "step": 8874 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.9303, "step": 8875 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.5384, "step": 8876 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 1.055, "step": 8877 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 1.0634, "step": 8878 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.944, "step": 8879 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.62, "step": 8880 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.8861, "step": 8881 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.7939, "step": 8882 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.6369, "step": 8883 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.6598, "step": 8884 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.7739, "step": 8885 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.939, "step": 8886 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.7316, "step": 8887 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.8402, "step": 8888 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.6433, "step": 8889 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.7991, "step": 8890 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.8371, "step": 8891 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.8238, "step": 8892 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.8285, "step": 8893 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.617, "step": 8894 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.7899, "step": 8895 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.8747, "step": 8896 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.8748, "step": 8897 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.6153, "step": 8898 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.7426, "step": 8899 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.6494, "step": 8900 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.7627, "step": 8901 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.8681, "step": 8902 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.8197, "step": 8903 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.7741, "step": 8904 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.8089, "step": 8905 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.6226, "step": 8906 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.6101, "step": 8907 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.9952, "step": 8908 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.8084, "step": 8909 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.6829, "step": 8910 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 1.0918, "step": 8911 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.8836, "step": 8912 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 0.639, "step": 8913 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.6591, "step": 8914 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.8734, "step": 8915 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.4178, "step": 8916 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.7424, "step": 8917 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.8698, "step": 8918 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 1.1041, "step": 8919 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.748, "step": 8920 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.7149, "step": 8921 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.8313, "step": 8922 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.6434, "step": 8923 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.581, "step": 8924 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.935, "step": 8925 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.867, "step": 8926 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.5157, "step": 8927 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.8322, "step": 8928 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.9689, "step": 8929 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.6689, "step": 8930 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.8032, "step": 8931 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.6642, "step": 8932 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.872, "step": 8933 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.8731, "step": 8934 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 1.0009, "step": 8935 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.7295, "step": 8936 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.9927, "step": 8937 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.7324, "step": 8938 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.5713, "step": 8939 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.8512, "step": 8940 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.96, "step": 8941 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.8917, "step": 8942 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.9644, "step": 8943 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.7697, "step": 8944 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 1.0277, "step": 8945 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.6359, "step": 8946 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.637, "step": 8947 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.6232, "step": 8948 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.8153, "step": 8949 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.7656, "step": 8950 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.6635, "step": 8951 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.7661, "step": 8952 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.602, "step": 8953 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.7531, "step": 8954 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.8117, "step": 8955 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.7345, "step": 8956 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.923, "step": 8957 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.7232, "step": 8958 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.8731, "step": 8959 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.7143, "step": 8960 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.9602, "step": 8961 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.9583, "step": 8962 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.6713, "step": 8963 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.8833, "step": 8964 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.6105, "step": 8965 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.5541, "step": 8966 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 1.1132, "step": 8967 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.7764, "step": 8968 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.9456, "step": 8969 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.7705, "step": 8970 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 0.6212, "step": 8971 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.8084, "step": 8972 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.7005, "step": 8973 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.6745, "step": 8974 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.8376, "step": 8975 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.7323, "step": 8976 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.5053, "step": 8977 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.7527, "step": 8978 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.7544, "step": 8979 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.8287, "step": 8980 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.828, "step": 8981 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.9312, "step": 8982 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.829, "step": 8983 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.8158, "step": 8984 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.5571, "step": 8985 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.7927, "step": 8986 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.6861, "step": 8987 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.5731, "step": 8988 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.69, "step": 8989 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.9879, "step": 8990 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.9756, "step": 8991 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.9023, "step": 8992 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.8826, "step": 8993 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.9228, "step": 8994 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.6753, "step": 8995 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.9356, "step": 8996 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.628, "step": 8997 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.9647, "step": 8998 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.96, "step": 8999 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 1.0739, "step": 9000 }, { "epoch": 1.56, "eval_loss": 0.9126874804496765, "eval_runtime": 110.1426, "eval_samples_per_second": 9.079, "eval_steps_per_second": 4.54, "step": 9000 }, { "epoch": 1.56, "mmlu_eval_accuracy": 0.5227049240891322, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.2857142857142857, "mmlu_eval_accuracy_astronomy": 0.5625, "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": 0.125, "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, "mmlu_eval_accuracy_college_mathematics": 0.36363636363636365, "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": 0.5625, "mmlu_eval_accuracy_elementary_mathematics": 0.4146341463414634, "mmlu_eval_accuracy_formal_logic": 0.07142857142857142, "mmlu_eval_accuracy_global_facts": 0.3, "mmlu_eval_accuracy_high_school_biology": 0.46875, "mmlu_eval_accuracy_high_school_chemistry": 0.18181818181818182, "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": 0.5581395348837209, "mmlu_eval_accuracy_high_school_mathematics": 0.3793103448275862, "mmlu_eval_accuracy_high_school_microeconomics": 0.6538461538461539, "mmlu_eval_accuracy_high_school_physics": 0.058823529411764705, "mmlu_eval_accuracy_high_school_psychology": 0.7833333333333333, "mmlu_eval_accuracy_high_school_statistics": 0.43478260869565216, "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, "mmlu_eval_accuracy_high_school_world_history": 0.5384615384615384, "mmlu_eval_accuracy_human_aging": 0.6521739130434783, "mmlu_eval_accuracy_human_sexuality": 0.25, "mmlu_eval_accuracy_international_law": 0.7692307692307693, "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": 0.84, "mmlu_eval_accuracy_medical_genetics": 1.0, "mmlu_eval_accuracy_miscellaneous": 0.6511627906976745, "mmlu_eval_accuracy_moral_disputes": 0.47368421052631576, "mmlu_eval_accuracy_moral_scenarios": 0.32, "mmlu_eval_accuracy_nutrition": 0.7272727272727273, "mmlu_eval_accuracy_philosophy": 0.6470588235294118, "mmlu_eval_accuracy_prehistory": 0.5714285714285714, "mmlu_eval_accuracy_professional_accounting": 0.41935483870967744, "mmlu_eval_accuracy_professional_law": 0.38235294117647056, "mmlu_eval_accuracy_professional_medicine": 0.4838709677419355, "mmlu_eval_accuracy_professional_psychology": 0.6376811594202898, "mmlu_eval_accuracy_public_relations": 0.4166666666666667, "mmlu_eval_accuracy_security_studies": 0.48148148148148145, "mmlu_eval_accuracy_sociology": 0.6363636363636364, "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, "mmlu_eval_accuracy_virology": 0.5555555555555556, "mmlu_eval_accuracy_world_religions": 0.6842105263157895, "mmlu_loss": 1.209273759324308, "step": 9000 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.6961, "step": 9001 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.8261, "step": 9002 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.7116, "step": 9003 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.7518, "step": 9004 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.7504, "step": 9005 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.5557, "step": 9006 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.6133, "step": 9007 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.6077, "step": 9008 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.5753, "step": 9009 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.511, "step": 9010 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.6338, "step": 9011 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.6698, "step": 9012 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.8229, "step": 9013 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.5404, "step": 9014 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.7417, "step": 9015 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.4651, "step": 9016 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.7726, "step": 9017 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.7155, "step": 9018 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.7586, "step": 9019 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.922, "step": 9020 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.8397, "step": 9021 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.6193, "step": 9022 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 1.1871, "step": 9023 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.5703, "step": 9024 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.814, "step": 9025 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 1.019, "step": 9026 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.5027, "step": 9027 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 0.8068, "step": 9028 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.844, "step": 9029 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.836, "step": 9030 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.7604, "step": 9031 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.8957, "step": 9032 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.9512, "step": 9033 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.8309, "step": 9034 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.7208, "step": 9035 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.6984, "step": 9036 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.8443, "step": 9037 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.5723, "step": 9038 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.9568, "step": 9039 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.6686, "step": 9040 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.8658, "step": 9041 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.7056, "step": 9042 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.8127, "step": 9043 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.7418, "step": 9044 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.7749, "step": 9045 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.8843, "step": 9046 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.7553, "step": 9047 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.9116, "step": 9048 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.8606, "step": 9049 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.8509, "step": 9050 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.7027, "step": 9051 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.7417, "step": 9052 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.5937, "step": 9053 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.8434, "step": 9054 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.5315, "step": 9055 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.721, "step": 9056 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.8547, "step": 9057 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 1.1304, "step": 9058 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.8291, "step": 9059 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.8491, "step": 9060 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.8702, "step": 9061 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.7616, "step": 9062 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.694, "step": 9063 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.6647, "step": 9064 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.7789, "step": 9065 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.8625, "step": 9066 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.7532, "step": 9067 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.7128, "step": 9068 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.5512, "step": 9069 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.8836, "step": 9070 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.7473, "step": 9071 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.774, "step": 9072 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.9097, "step": 9073 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.6667, "step": 9074 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 1.0015, "step": 9075 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.9326, "step": 9076 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.6049, "step": 9077 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.9489, "step": 9078 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 1.0529, "step": 9079 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 1.035, "step": 9080 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.7554, "step": 9081 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.8071, "step": 9082 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.7836, "step": 9083 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.6189, "step": 9084 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.8278, "step": 9085 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 0.8325, "step": 9086 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.8857, "step": 9087 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.845, "step": 9088 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.8174, "step": 9089 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.7755, "step": 9090 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.9306, "step": 9091 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.6093, "step": 9092 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.6905, "step": 9093 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.8861, "step": 9094 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 1.1328, "step": 9095 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.7699, "step": 9096 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.7177, "step": 9097 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.8056, "step": 9098 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.9453, "step": 9099 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.8492, "step": 9100 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.8144, "step": 9101 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.6896, "step": 9102 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.562, "step": 9103 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.784, "step": 9104 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.9514, "step": 9105 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.9083, "step": 9106 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.7829, "step": 9107 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.7018, "step": 9108 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.7592, "step": 9109 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.7927, "step": 9110 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.6759, "step": 9111 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.9709, "step": 9112 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.6955, "step": 9113 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.8118, "step": 9114 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.6449, "step": 9115 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.8477, "step": 9116 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.9932, "step": 9117 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.7548, "step": 9118 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 1.0358, "step": 9119 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.6531, "step": 9120 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.7275, "step": 9121 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.7334, "step": 9122 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.9649, "step": 9123 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 1.1449, "step": 9124 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.9391, "step": 9125 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.7749, "step": 9126 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.7828, "step": 9127 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.9107, "step": 9128 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.8388, "step": 9129 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.9811, "step": 9130 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.7052, "step": 9131 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.9448, "step": 9132 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.5967, "step": 9133 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.7153, "step": 9134 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.6882, "step": 9135 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.8325, "step": 9136 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.8728, "step": 9137 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.7125, "step": 9138 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.6054, "step": 9139 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.7883, "step": 9140 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.7144, "step": 9141 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.9813, "step": 9142 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.5485, "step": 9143 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 0.8598, "step": 9144 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.9962, "step": 9145 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.8191, "step": 9146 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.7972, "step": 9147 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.7758, "step": 9148 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.8315, "step": 9149 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.8851, "step": 9150 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.69, "step": 9151 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 1.2518, "step": 9152 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.9288, "step": 9153 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.6758, "step": 9154 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.9257, "step": 9155 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.6049, "step": 9156 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.5302, "step": 9157 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.4996, "step": 9158 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.6921, "step": 9159 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.6958, "step": 9160 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 1.0163, "step": 9161 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.7534, "step": 9162 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.6286, "step": 9163 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.8549, "step": 9164 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 1.0463, "step": 9165 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.6731, "step": 9166 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.6946, "step": 9167 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.6411, "step": 9168 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.8848, "step": 9169 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 1.1934, "step": 9170 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.6731, "step": 9171 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.8599, "step": 9172 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 1.0546, "step": 9173 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.5968, "step": 9174 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 1.1678, "step": 9175 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.7279, "step": 9176 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.7484, "step": 9177 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.8082, "step": 9178 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.9368, "step": 9179 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.7271, "step": 9180 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.8861, "step": 9181 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.9595, "step": 9182 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 1.0987, "step": 9183 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.6744, "step": 9184 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.8399, "step": 9185 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.8262, "step": 9186 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.7383, "step": 9187 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.7608, "step": 9188 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 1.1648, "step": 9189 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.8265, "step": 9190 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.7082, "step": 9191 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.8692, "step": 9192 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.5734, "step": 9193 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.7366, "step": 9194 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.7677, "step": 9195 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.5237, "step": 9196 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.9489, "step": 9197 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 1.1768, "step": 9198 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.7591, "step": 9199 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.9258, "step": 9200 }, { "epoch": 1.59, "eval_loss": 0.9155954718589783, "eval_runtime": 110.2618, "eval_samples_per_second": 9.069, "eval_steps_per_second": 4.535, "step": 9200 }, { "epoch": 1.59, "mmlu_eval_accuracy": 0.4909711473586342, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.35714285714285715, "mmlu_eval_accuracy_astronomy": 0.4375, "mmlu_eval_accuracy_business_ethics": 0.45454545454545453, "mmlu_eval_accuracy_clinical_knowledge": 0.6206896551724138, "mmlu_eval_accuracy_college_biology": 0.5625, "mmlu_eval_accuracy_college_chemistry": 0.125, "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, "mmlu_eval_accuracy_college_mathematics": 0.36363636363636365, "mmlu_eval_accuracy_college_medicine": 0.4090909090909091, "mmlu_eval_accuracy_college_physics": 0.45454545454545453, "mmlu_eval_accuracy_computer_security": 0.36363636363636365, "mmlu_eval_accuracy_conceptual_physics": 0.34615384615384615, "mmlu_eval_accuracy_econometrics": 0.4166666666666667, "mmlu_eval_accuracy_electrical_engineering": 0.375, "mmlu_eval_accuracy_elementary_mathematics": 0.3170731707317073, "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, "mmlu_eval_accuracy_global_facts": 0.4, "mmlu_eval_accuracy_high_school_biology": 0.40625, "mmlu_eval_accuracy_high_school_chemistry": 0.2727272727272727, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, "mmlu_eval_accuracy_high_school_government_and_politics": 0.5238095238095238, "mmlu_eval_accuracy_high_school_macroeconomics": 0.5116279069767442, "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, "mmlu_eval_accuracy_high_school_microeconomics": 0.5, "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, "mmlu_eval_accuracy_high_school_psychology": 0.7833333333333333, "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, "mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364, "mmlu_eval_accuracy_high_school_world_history": 0.5769230769230769, "mmlu_eval_accuracy_human_aging": 0.6956521739130435, "mmlu_eval_accuracy_human_sexuality": 0.25, "mmlu_eval_accuracy_international_law": 0.7692307692307693, "mmlu_eval_accuracy_jurisprudence": 0.45454545454545453, "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, "mmlu_eval_accuracy_machine_learning": 0.36363636363636365, "mmlu_eval_accuracy_management": 0.7272727272727273, "mmlu_eval_accuracy_marketing": 0.84, "mmlu_eval_accuracy_medical_genetics": 1.0, "mmlu_eval_accuracy_miscellaneous": 0.686046511627907, "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, "mmlu_eval_accuracy_moral_scenarios": 0.34, "mmlu_eval_accuracy_nutrition": 0.6363636363636364, "mmlu_eval_accuracy_philosophy": 0.5, "mmlu_eval_accuracy_prehistory": 0.42857142857142855, "mmlu_eval_accuracy_professional_accounting": 0.3548387096774194, "mmlu_eval_accuracy_professional_law": 0.3764705882352941, "mmlu_eval_accuracy_professional_medicine": 0.5483870967741935, "mmlu_eval_accuracy_professional_psychology": 0.5652173913043478, "mmlu_eval_accuracy_public_relations": 0.4166666666666667, "mmlu_eval_accuracy_security_studies": 0.48148148148148145, "mmlu_eval_accuracy_sociology": 0.5454545454545454, "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, "mmlu_eval_accuracy_virology": 0.5, "mmlu_eval_accuracy_world_religions": 0.6842105263157895, "mmlu_loss": 1.1375457845997872, "step": 9200 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 0.8192, "step": 9201 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.7773, "step": 9202 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.5024, "step": 9203 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.6393, "step": 9204 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 1.1572, "step": 9205 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.7871, "step": 9206 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.7885, "step": 9207 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.9098, "step": 9208 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.8123, "step": 9209 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.9491, "step": 9210 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.8991, "step": 9211 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.8655, "step": 9212 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.7882, "step": 9213 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 1.1637, "step": 9214 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 1.0146, "step": 9215 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 1.1119, "step": 9216 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.6377, "step": 9217 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.675, "step": 9218 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.4919, "step": 9219 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.6197, "step": 9220 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.7491, "step": 9221 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 1.0288, "step": 9222 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.8075, "step": 9223 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.5353, "step": 9224 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.8461, "step": 9225 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.7832, "step": 9226 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.7606, "step": 9227 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.863, "step": 9228 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.6895, "step": 9229 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.9096, "step": 9230 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.8449, "step": 9231 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.7819, "step": 9232 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.8646, "step": 9233 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 1.0009, "step": 9234 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 1.0197, "step": 9235 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.7582, "step": 9236 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.8636, "step": 9237 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.7152, "step": 9238 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.7829, "step": 9239 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.9773, "step": 9240 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.8441, "step": 9241 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.7754, "step": 9242 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.9288, "step": 9243 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.9614, "step": 9244 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 1.152, "step": 9245 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.7169, "step": 9246 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.938, "step": 9247 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.7969, "step": 9248 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.7881, "step": 9249 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.708, "step": 9250 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.7727, "step": 9251 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.5802, "step": 9252 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 1.1614, "step": 9253 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.8279, "step": 9254 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.5194, "step": 9255 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.9295, "step": 9256 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.918, "step": 9257 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.8272, "step": 9258 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 0.7027, "step": 9259 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.7722, "step": 9260 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.8037, "step": 9261 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.8535, "step": 9262 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.9433, "step": 9263 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.6519, "step": 9264 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.8522, "step": 9265 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.4942, "step": 9266 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.9791, "step": 9267 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.8736, "step": 9268 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.7481, "step": 9269 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.752, "step": 9270 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.8226, "step": 9271 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 1.1333, "step": 9272 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.9128, "step": 9273 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.7322, "step": 9274 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.7719, "step": 9275 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.7367, "step": 9276 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.6531, "step": 9277 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 1.0053, "step": 9278 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.8906, "step": 9279 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.9178, "step": 9280 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.9729, "step": 9281 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.8634, "step": 9282 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 1.0248, "step": 9283 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.9024, "step": 9284 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.8592, "step": 9285 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.7325, "step": 9286 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.7536, "step": 9287 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.8093, "step": 9288 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.6495, "step": 9289 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.6256, "step": 9290 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.7584, "step": 9291 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.8998, "step": 9292 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 1.0079, "step": 9293 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.7357, "step": 9294 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.4396, "step": 9295 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.8839, "step": 9296 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.7255, "step": 9297 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.6749, "step": 9298 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.8077, "step": 9299 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.7456, "step": 9300 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.8517, "step": 9301 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 1.0604, "step": 9302 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.946, "step": 9303 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.6771, "step": 9304 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 1.1857, "step": 9305 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.7089, "step": 9306 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.6167, "step": 9307 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.705, "step": 9308 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.8612, "step": 9309 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.878, "step": 9310 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.5981, "step": 9311 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.7277, "step": 9312 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.5973, "step": 9313 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.6297, "step": 9314 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.9087, "step": 9315 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.8638, "step": 9316 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 0.9521, "step": 9317 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.8475, "step": 9318 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.6442, "step": 9319 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.7794, "step": 9320 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 1.0331, "step": 9321 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.5388, "step": 9322 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.8264, "step": 9323 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.757, "step": 9324 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.7467, "step": 9325 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.7526, "step": 9326 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.7945, "step": 9327 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.9391, "step": 9328 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.6828, "step": 9329 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.8358, "step": 9330 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.7744, "step": 9331 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.9944, "step": 9332 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.7499, "step": 9333 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.9043, "step": 9334 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.6856, "step": 9335 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 1.0085, "step": 9336 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.6887, "step": 9337 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.5513, "step": 9338 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.6945, "step": 9339 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.8265, "step": 9340 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.9188, "step": 9341 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.7664, "step": 9342 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.9117, "step": 9343 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.8551, "step": 9344 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.7897, "step": 9345 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.6154, "step": 9346 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.7656, "step": 9347 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.836, "step": 9348 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 1.0133, "step": 9349 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.9597, "step": 9350 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.8423, "step": 9351 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.7165, "step": 9352 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.7465, "step": 9353 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.6288, "step": 9354 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.7745, "step": 9355 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.6416, "step": 9356 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.9458, "step": 9357 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.6925, "step": 9358 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.7214, "step": 9359 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.9789, "step": 9360 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.4088, "step": 9361 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.7196, "step": 9362 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.6427, "step": 9363 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.9567, "step": 9364 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.6725, "step": 9365 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.7698, "step": 9366 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.8281, "step": 9367 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.5458, "step": 9368 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 1.2668, "step": 9369 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.7951, "step": 9370 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.5191, "step": 9371 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.6769, "step": 9372 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.5356, "step": 9373 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.8446, "step": 9374 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 0.7029, "step": 9375 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.9544, "step": 9376 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.6083, "step": 9377 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.6016, "step": 9378 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.5237, "step": 9379 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.7084, "step": 9380 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.8467, "step": 9381 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 1.0672, "step": 9382 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.892, "step": 9383 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.8432, "step": 9384 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.932, "step": 9385 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.8422, "step": 9386 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.9415, "step": 9387 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.8462, "step": 9388 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.9413, "step": 9389 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 1.0238, "step": 9390 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.7551, "step": 9391 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 1.0094, "step": 9392 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.8819, "step": 9393 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.8407, "step": 9394 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.674, "step": 9395 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.7564, "step": 9396 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.6204, "step": 9397 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.7077, "step": 9398 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.6817, "step": 9399 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.882, "step": 9400 }, { "epoch": 1.63, "eval_loss": 0.9106771945953369, "eval_runtime": 110.3343, "eval_samples_per_second": 9.063, "eval_steps_per_second": 4.532, "step": 9400 }, { "epoch": 1.63, "mmlu_eval_accuracy": 0.5177595587359722, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.35714285714285715, "mmlu_eval_accuracy_astronomy": 0.625, "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, "mmlu_eval_accuracy_clinical_knowledge": 0.4827586206896552, "mmlu_eval_accuracy_college_biology": 0.5, "mmlu_eval_accuracy_college_chemistry": 0.125, "mmlu_eval_accuracy_college_computer_science": 0.5454545454545454, "mmlu_eval_accuracy_college_mathematics": 0.36363636363636365, "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": 0.5, "mmlu_eval_accuracy_econometrics": 0.25, "mmlu_eval_accuracy_electrical_engineering": 0.5, "mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637, "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": 0.4444444444444444, "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": 0.6666666666666666, "mmlu_eval_accuracy_high_school_macroeconomics": 0.4883720930232558, "mmlu_eval_accuracy_high_school_mathematics": 0.3448275862068966, "mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156, "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, "mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334, "mmlu_eval_accuracy_high_school_statistics": 0.43478260869565216, "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, "mmlu_eval_accuracy_high_school_world_history": 0.5384615384615384, "mmlu_eval_accuracy_human_aging": 0.6956521739130435, "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, "mmlu_eval_accuracy_international_law": 0.6923076923076923, "mmlu_eval_accuracy_jurisprudence": 0.5454545454545454, "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, "mmlu_eval_accuracy_machine_learning": 0.2727272727272727, "mmlu_eval_accuracy_management": 0.6363636363636364, "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": 0.39, "mmlu_eval_accuracy_nutrition": 0.6060606060606061, "mmlu_eval_accuracy_philosophy": 0.6470588235294118, "mmlu_eval_accuracy_prehistory": 0.42857142857142855, "mmlu_eval_accuracy_professional_accounting": 0.3225806451612903, "mmlu_eval_accuracy_professional_law": 0.34705882352941175, "mmlu_eval_accuracy_professional_medicine": 0.5483870967741935, "mmlu_eval_accuracy_professional_psychology": 0.6376811594202898, "mmlu_eval_accuracy_public_relations": 0.4166666666666667, "mmlu_eval_accuracy_security_studies": 0.6296296296296297, "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": 0.8361191827385606, "step": 9400 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.8867, "step": 9401 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.697, "step": 9402 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.7285, "step": 9403 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.7155, "step": 9404 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.92, "step": 9405 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.8583, "step": 9406 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.6801, "step": 9407 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.7116, "step": 9408 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.7116, "step": 9409 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.4759, "step": 9410 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.6834, "step": 9411 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.7828, "step": 9412 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.6554, "step": 9413 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.8345, "step": 9414 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.7916, "step": 9415 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.7864, "step": 9416 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.7465, "step": 9417 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 1.0434, "step": 9418 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.6967, "step": 9419 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.8821, "step": 9420 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.6439, "step": 9421 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.6966, "step": 9422 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.7097, "step": 9423 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.787, "step": 9424 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.5569, "step": 9425 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.5492, "step": 9426 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.4512, "step": 9427 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.4112, "step": 9428 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.6066, "step": 9429 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.8388, "step": 9430 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.6827, "step": 9431 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 0.8199, "step": 9432 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.9374, "step": 9433 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.8981, "step": 9434 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.5973, "step": 9435 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.8683, "step": 9436 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.9218, "step": 9437 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.7106, "step": 9438 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.9402, "step": 9439 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.8664, "step": 9440 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.9224, "step": 9441 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.5868, "step": 9442 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.7602, "step": 9443 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 1.1348, "step": 9444 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.5284, "step": 9445 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.706, "step": 9446 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.7188, "step": 9447 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.9025, "step": 9448 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.8278, "step": 9449 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.847, "step": 9450 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.7336, "step": 9451 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.7947, "step": 9452 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.9429, "step": 9453 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.9019, "step": 9454 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.6339, "step": 9455 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.7957, "step": 9456 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 1.3645, "step": 9457 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.7008, "step": 9458 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.8687, "step": 9459 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.8297, "step": 9460 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.8554, "step": 9461 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.6642, "step": 9462 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.9684, "step": 9463 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.7423, "step": 9464 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.97, "step": 9465 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 1.0844, "step": 9466 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.9951, "step": 9467 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.7044, "step": 9468 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.8623, "step": 9469 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.6274, "step": 9470 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.6625, "step": 9471 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.9708, "step": 9472 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 1.0324, "step": 9473 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 1.0634, "step": 9474 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.9154, "step": 9475 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.6719, "step": 9476 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.6993, "step": 9477 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.7791, "step": 9478 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.9126, "step": 9479 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.7074, "step": 9480 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.7377, "step": 9481 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.6485, "step": 9482 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.5578, "step": 9483 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.561, "step": 9484 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.982, "step": 9485 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.9129, "step": 9486 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.7773, "step": 9487 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.6088, "step": 9488 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.9482, "step": 9489 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 0.8469, "step": 9490 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.6596, "step": 9491 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.8777, "step": 9492 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.7114, "step": 9493 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.8801, "step": 9494 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.8881, "step": 9495 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.9819, "step": 9496 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.7615, "step": 9497 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.9317, "step": 9498 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.9896, "step": 9499 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.7268, "step": 9500 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.6734, "step": 9501 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.5222, "step": 9502 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.8641, "step": 9503 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.8836, "step": 9504 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.6717, "step": 9505 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.5747, "step": 9506 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.7641, "step": 9507 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.3406, "step": 9508 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.8523, "step": 9509 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.875, "step": 9510 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.9791, "step": 9511 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.6041, "step": 9512 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.8501, "step": 9513 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.9873, "step": 9514 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.9365, "step": 9515 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.7226, "step": 9516 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.8348, "step": 9517 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.8404, "step": 9518 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.8434, "step": 9519 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.7763, "step": 9520 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.8803, "step": 9521 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.9332, "step": 9522 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.8341, "step": 9523 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.5836, "step": 9524 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.67, "step": 9525 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.8262, "step": 9526 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.6235, "step": 9527 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.8287, "step": 9528 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.6901, "step": 9529 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.9877, "step": 9530 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.9011, "step": 9531 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.8364, "step": 9532 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 1.0758, "step": 9533 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.8384, "step": 9534 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.9803, "step": 9535 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.8291, "step": 9536 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.956, "step": 9537 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.5502, "step": 9538 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.7825, "step": 9539 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.9014, "step": 9540 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.8694, "step": 9541 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.7681, "step": 9542 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 1.0521, "step": 9543 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.8479, "step": 9544 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.6877, "step": 9545 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.7668, "step": 9546 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.8361, "step": 9547 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 0.5296, "step": 9548 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.6366, "step": 9549 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.8576, "step": 9550 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.8444, "step": 9551 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.6471, "step": 9552 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.8873, "step": 9553 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.6477, "step": 9554 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.6886, "step": 9555 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.8026, "step": 9556 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.4939, "step": 9557 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 1.412, "step": 9558 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.7563, "step": 9559 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.8461, "step": 9560 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 1.1803, "step": 9561 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.8363, "step": 9562 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.7838, "step": 9563 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.8771, "step": 9564 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.8242, "step": 9565 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.6371, "step": 9566 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.693, "step": 9567 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.8886, "step": 9568 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.7626, "step": 9569 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.5552, "step": 9570 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.8616, "step": 9571 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.7489, "step": 9572 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.6309, "step": 9573 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 1.0014, "step": 9574 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.6038, "step": 9575 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.9286, "step": 9576 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.9492, "step": 9577 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.6442, "step": 9578 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.9275, "step": 9579 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.702, "step": 9580 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.6941, "step": 9581 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 1.0173, "step": 9582 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.6441, "step": 9583 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 1.038, "step": 9584 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.7528, "step": 9585 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.6773, "step": 9586 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.83, "step": 9587 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.7807, "step": 9588 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.9638, "step": 9589 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.6969, "step": 9590 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 1.144, "step": 9591 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.9353, "step": 9592 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.9022, "step": 9593 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.9308, "step": 9594 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.8843, "step": 9595 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.5975, "step": 9596 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.5543, "step": 9597 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.5488, "step": 9598 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.808, "step": 9599 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.5809, "step": 9600 }, { "epoch": 1.66, "eval_loss": 0.9143719673156738, "eval_runtime": 110.3121, "eval_samples_per_second": 9.065, "eval_steps_per_second": 4.533, "step": 9600 }, { "epoch": 1.66, "mmlu_eval_accuracy": 0.5117283434964611, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.42857142857142855, "mmlu_eval_accuracy_astronomy": 0.5, "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, "mmlu_eval_accuracy_clinical_knowledge": 0.4827586206896552, "mmlu_eval_accuracy_college_biology": 0.5625, "mmlu_eval_accuracy_college_chemistry": 0.125, "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365, "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727, "mmlu_eval_accuracy_college_medicine": 0.5, "mmlu_eval_accuracy_college_physics": 0.36363636363636365, "mmlu_eval_accuracy_computer_security": 0.36363636363636365, "mmlu_eval_accuracy_conceptual_physics": 0.46153846153846156, "mmlu_eval_accuracy_econometrics": 0.25, "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": 0.1, "mmlu_eval_accuracy_high_school_biology": 0.5, "mmlu_eval_accuracy_high_school_chemistry": 0.22727272727272727, "mmlu_eval_accuracy_high_school_computer_science": 0.3333333333333333, "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": 0.5116279069767442, "mmlu_eval_accuracy_high_school_mathematics": 0.3448275862068966, "mmlu_eval_accuracy_high_school_microeconomics": 0.6538461538461539, "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, "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": 0.6153846153846154, "mmlu_eval_accuracy_human_aging": 0.6521739130434783, "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": 0.6111111111111112, "mmlu_eval_accuracy_machine_learning": 0.2727272727272727, "mmlu_eval_accuracy_management": 0.8181818181818182, "mmlu_eval_accuracy_marketing": 0.88, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.7093023255813954, "mmlu_eval_accuracy_moral_disputes": 0.47368421052631576, "mmlu_eval_accuracy_moral_scenarios": 0.38, "mmlu_eval_accuracy_nutrition": 0.6060606060606061, "mmlu_eval_accuracy_philosophy": 0.5294117647058824, "mmlu_eval_accuracy_prehistory": 0.42857142857142855, "mmlu_eval_accuracy_professional_accounting": 0.41935483870967744, "mmlu_eval_accuracy_professional_law": 0.3411764705882353, "mmlu_eval_accuracy_professional_medicine": 0.6774193548387096, "mmlu_eval_accuracy_professional_psychology": 0.6231884057971014, "mmlu_eval_accuracy_public_relations": 0.3333333333333333, "mmlu_eval_accuracy_security_studies": 0.5555555555555556, "mmlu_eval_accuracy_sociology": 0.8181818181818182, "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, "mmlu_eval_accuracy_virology": 0.5555555555555556, "mmlu_eval_accuracy_world_religions": 0.631578947368421, "mmlu_loss": 0.8626193905798791, "step": 9600 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.8157, "step": 9601 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.7866, "step": 9602 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 1.0158, "step": 9603 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.8476, "step": 9604 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 0.7935, "step": 9605 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.7997, "step": 9606 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.9545, "step": 9607 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.863, "step": 9608 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.93, "step": 9609 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.8968, "step": 9610 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.5827, "step": 9611 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.8584, "step": 9612 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.8559, "step": 9613 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.8542, "step": 9614 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.6511, "step": 9615 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.9828, "step": 9616 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.849, "step": 9617 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.6499, "step": 9618 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.7792, "step": 9619 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.9295, "step": 9620 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.8632, "step": 9621 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.597, "step": 9622 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.858, "step": 9623 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.7619, "step": 9624 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.9127, "step": 9625 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.6373, "step": 9626 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.91, "step": 9627 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.7805, "step": 9628 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.5544, "step": 9629 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.7165, "step": 9630 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.8319, "step": 9631 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 1.0197, "step": 9632 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.8447, "step": 9633 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.7441, "step": 9634 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.7544, "step": 9635 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.8385, "step": 9636 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 1.0969, "step": 9637 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.7378, "step": 9638 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.6259, "step": 9639 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.9328, "step": 9640 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.7835, "step": 9641 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.7587, "step": 9642 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.914, "step": 9643 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.8142, "step": 9644 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.859, "step": 9645 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.9431, "step": 9646 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.7536, "step": 9647 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.6101, "step": 9648 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.6533, "step": 9649 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.8504, "step": 9650 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.9985, "step": 9651 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.895, "step": 9652 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 1.0447, "step": 9653 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.9061, "step": 9654 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.8355, "step": 9655 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.859, "step": 9656 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.9402, "step": 9657 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.7976, "step": 9658 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 1.0364, "step": 9659 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 1.022, "step": 9660 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 1.1414, "step": 9661 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.8593, "step": 9662 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 0.8686, "step": 9663 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.8172, "step": 9664 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.6971, "step": 9665 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 1.0177, "step": 9666 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 1.0454, "step": 9667 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.6368, "step": 9668 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.8624, "step": 9669 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.6585, "step": 9670 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.988, "step": 9671 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.8737, "step": 9672 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.8536, "step": 9673 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.7962, "step": 9674 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.8105, "step": 9675 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.8409, "step": 9676 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 1.0791, "step": 9677 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.6377, "step": 9678 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.8288, "step": 9679 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.8809, "step": 9680 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.7587, "step": 9681 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.7023, "step": 9682 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.6248, "step": 9683 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.8398, "step": 9684 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.8593, "step": 9685 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.7941, "step": 9686 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.8734, "step": 9687 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.8486, "step": 9688 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.9048, "step": 9689 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.8036, "step": 9690 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.8694, "step": 9691 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.9629, "step": 9692 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.7827, "step": 9693 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.87, "step": 9694 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.7787, "step": 9695 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.5368, "step": 9696 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.8287, "step": 9697 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.8182, "step": 9698 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.905, "step": 9699 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.831, "step": 9700 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.8621, "step": 9701 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.8219, "step": 9702 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.6142, "step": 9703 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.6753, "step": 9704 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.5849, "step": 9705 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.4846, "step": 9706 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.7397, "step": 9707 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.8794, "step": 9708 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.7405, "step": 9709 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.7117, "step": 9710 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.5598, "step": 9711 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.4286, "step": 9712 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.5916, "step": 9713 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.8729, "step": 9714 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.7539, "step": 9715 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.5841, "step": 9716 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.7678, "step": 9717 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.695, "step": 9718 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.7258, "step": 9719 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.7047, "step": 9720 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 0.7115, "step": 9721 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.8851, "step": 9722 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.5018, "step": 9723 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.6588, "step": 9724 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 1.1468, "step": 9725 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 1.028, "step": 9726 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.8775, "step": 9727 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 1.2068, "step": 9728 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.8153, "step": 9729 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.8276, "step": 9730 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.8043, "step": 9731 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 1.0191, "step": 9732 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.6217, "step": 9733 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.7761, "step": 9734 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.9852, "step": 9735 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.7382, "step": 9736 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.7016, "step": 9737 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.7118, "step": 9738 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.494, "step": 9739 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.7082, "step": 9740 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.9047, "step": 9741 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.9564, "step": 9742 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.8953, "step": 9743 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.6601, "step": 9744 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.7674, "step": 9745 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.6699, "step": 9746 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.6589, "step": 9747 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.7596, "step": 9748 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.7584, "step": 9749 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.8364, "step": 9750 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.8053, "step": 9751 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.8369, "step": 9752 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.7657, "step": 9753 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.7088, "step": 9754 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 1.033, "step": 9755 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.7935, "step": 9756 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.9261, "step": 9757 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.9328, "step": 9758 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.8232, "step": 9759 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.6904, "step": 9760 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.838, "step": 9761 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.4741, "step": 9762 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.8559, "step": 9763 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.6303, "step": 9764 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.8282, "step": 9765 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.9413, "step": 9766 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 1.0387, "step": 9767 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.9297, "step": 9768 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.7221, "step": 9769 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.6551, "step": 9770 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.9218, "step": 9771 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.9631, "step": 9772 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.9556, "step": 9773 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.6901, "step": 9774 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.9738, "step": 9775 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.5347, "step": 9776 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.8926, "step": 9777 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 0.5614, "step": 9778 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.8768, "step": 9779 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.6256, "step": 9780 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.8374, "step": 9781 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.6686, "step": 9782 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.8703, "step": 9783 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.8337, "step": 9784 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.815, "step": 9785 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.7606, "step": 9786 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.792, "step": 9787 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 1.0714, "step": 9788 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.9251, "step": 9789 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 1.1047, "step": 9790 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.9674, "step": 9791 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.8069, "step": 9792 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.8161, "step": 9793 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.68, "step": 9794 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.7277, "step": 9795 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 1.004, "step": 9796 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.8397, "step": 9797 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.9433, "step": 9798 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.8958, "step": 9799 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.8549, "step": 9800 }, { "epoch": 1.7, "eval_loss": 0.9064205884933472, "eval_runtime": 110.2811, "eval_samples_per_second": 9.068, "eval_steps_per_second": 4.534, "step": 9800 }, { "epoch": 1.7, "mmlu_eval_accuracy": 0.5240550691826382, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.35714285714285715, "mmlu_eval_accuracy_astronomy": 0.6875, "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, "mmlu_eval_accuracy_clinical_knowledge": 0.41379310344827586, "mmlu_eval_accuracy_college_biology": 0.5, "mmlu_eval_accuracy_college_chemistry": 0.25, "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727, "mmlu_eval_accuracy_college_medicine": 0.45454545454545453, "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": 0.3333333333333333, "mmlu_eval_accuracy_electrical_engineering": 0.3125, "mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244, "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, "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": 0.4444444444444444, "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": 0.6666666666666666, "mmlu_eval_accuracy_high_school_macroeconomics": 0.5348837209302325, "mmlu_eval_accuracy_high_school_mathematics": 0.3793103448275862, "mmlu_eval_accuracy_high_school_microeconomics": 0.6538461538461539, "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, "mmlu_eval_accuracy_high_school_psychology": 0.9, "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, "mmlu_eval_accuracy_high_school_world_history": 0.4230769230769231, "mmlu_eval_accuracy_human_aging": 0.7391304347826086, "mmlu_eval_accuracy_human_sexuality": 0.25, "mmlu_eval_accuracy_international_law": 0.7692307692307693, "mmlu_eval_accuracy_jurisprudence": 0.5454545454545454, "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, "mmlu_eval_accuracy_machine_learning": 0.18181818181818182, "mmlu_eval_accuracy_management": 0.6363636363636364, "mmlu_eval_accuracy_marketing": 0.88, "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": 0.4, "mmlu_eval_accuracy_nutrition": 0.6060606060606061, "mmlu_eval_accuracy_philosophy": 0.6470588235294118, "mmlu_eval_accuracy_prehistory": 0.5142857142857142, "mmlu_eval_accuracy_professional_accounting": 0.41935483870967744, "mmlu_eval_accuracy_professional_law": 0.37058823529411766, "mmlu_eval_accuracy_professional_medicine": 0.6451612903225806, "mmlu_eval_accuracy_professional_psychology": 0.6376811594202898, "mmlu_eval_accuracy_public_relations": 0.5833333333333334, "mmlu_eval_accuracy_security_studies": 0.6296296296296297, "mmlu_eval_accuracy_sociology": 0.6363636363636364, "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, "mmlu_eval_accuracy_virology": 0.5, "mmlu_eval_accuracy_world_religions": 0.6842105263157895, "mmlu_loss": 0.9929411403504115, "step": 9800 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.9128, "step": 9801 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.7063, "step": 9802 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.8367, "step": 9803 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.8285, "step": 9804 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.8639, "step": 9805 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 1.1079, "step": 9806 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.8012, "step": 9807 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.9074, "step": 9808 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.6919, "step": 9809 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 1.0195, "step": 9810 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.98, "step": 9811 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.9705, "step": 9812 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.9275, "step": 9813 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.7556, "step": 9814 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.7032, "step": 9815 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.6825, "step": 9816 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.8241, "step": 9817 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.6714, "step": 9818 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 1.0164, "step": 9819 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.6078, "step": 9820 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 1.0048, "step": 9821 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.7027, "step": 9822 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.8552, "step": 9823 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.927, "step": 9824 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.7054, "step": 9825 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.6999, "step": 9826 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.9114, "step": 9827 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.8011, "step": 9828 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.8359, "step": 9829 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.7699, "step": 9830 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.8456, "step": 9831 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.7858, "step": 9832 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.9872, "step": 9833 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.882, "step": 9834 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.9116, "step": 9835 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 0.7645, "step": 9836 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.959, "step": 9837 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.9815, "step": 9838 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.8717, "step": 9839 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.7108, "step": 9840 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.9503, "step": 9841 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 1.1579, "step": 9842 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.8673, "step": 9843 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.9078, "step": 9844 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.8774, "step": 9845 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.8311, "step": 9846 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.797, "step": 9847 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.6949, "step": 9848 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.9083, "step": 9849 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.7281, "step": 9850 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.8421, "step": 9851 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.7102, "step": 9852 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.7139, "step": 9853 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.9103, "step": 9854 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.7519, "step": 9855 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.7614, "step": 9856 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.5374, "step": 9857 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.7861, "step": 9858 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.7063, "step": 9859 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.7306, "step": 9860 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.818, "step": 9861 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.5715, "step": 9862 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.6106, "step": 9863 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 1.1696, "step": 9864 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.7798, "step": 9865 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.924, "step": 9866 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 1.0323, "step": 9867 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 1.0501, "step": 9868 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.9255, "step": 9869 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.7581, "step": 9870 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.5653, "step": 9871 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.6287, "step": 9872 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.8151, "step": 9873 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.9468, "step": 9874 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 1.0692, "step": 9875 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.9689, "step": 9876 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.8306, "step": 9877 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.8753, "step": 9878 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.6497, "step": 9879 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.8813, "step": 9880 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.7257, "step": 9881 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.9819, "step": 9882 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.7859, "step": 9883 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.7221, "step": 9884 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.8107, "step": 9885 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.6644, "step": 9886 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 1.0463, "step": 9887 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.941, "step": 9888 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.804, "step": 9889 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.7186, "step": 9890 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.786, "step": 9891 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.8651, "step": 9892 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.9028, "step": 9893 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 0.8872, "step": 9894 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.9143, "step": 9895 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 1.1272, "step": 9896 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.9533, "step": 9897 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.9152, "step": 9898 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.7399, "step": 9899 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.5497, "step": 9900 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.9381, "step": 9901 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 1.0583, "step": 9902 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.7491, "step": 9903 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.6714, "step": 9904 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.7949, "step": 9905 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.6822, "step": 9906 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.5667, "step": 9907 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.7469, "step": 9908 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.6343, "step": 9909 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.8957, "step": 9910 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.8604, "step": 9911 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 1.0542, "step": 9912 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.8443, "step": 9913 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.7157, "step": 9914 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.8363, "step": 9915 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.707, "step": 9916 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.9121, "step": 9917 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 1.002, "step": 9918 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.8709, "step": 9919 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.5655, "step": 9920 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.9311, "step": 9921 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.7903, "step": 9922 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 1.0069, "step": 9923 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.9329, "step": 9924 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.6461, "step": 9925 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.7339, "step": 9926 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.7614, "step": 9927 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.914, "step": 9928 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.6406, "step": 9929 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.5667, "step": 9930 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.5666, "step": 9931 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.523, "step": 9932 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.7556, "step": 9933 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.852, "step": 9934 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.7022, "step": 9935 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.8298, "step": 9936 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.6041, "step": 9937 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.7261, "step": 9938 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.8241, "step": 9939 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.4713, "step": 9940 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.7905, "step": 9941 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.8532, "step": 9942 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.9091, "step": 9943 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.6073, "step": 9944 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.8752, "step": 9945 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.9551, "step": 9946 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.9397, "step": 9947 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.8845, "step": 9948 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.7941, "step": 9949 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.8636, "step": 9950 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 0.6685, "step": 9951 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.6006, "step": 9952 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.8271, "step": 9953 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.7567, "step": 9954 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 1.0318, "step": 9955 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.8388, "step": 9956 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.7582, "step": 9957 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.6594, "step": 9958 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.6671, "step": 9959 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.8473, "step": 9960 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 1.3375, "step": 9961 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.7865, "step": 9962 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 1.016, "step": 9963 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.8516, "step": 9964 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.71, "step": 9965 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.8381, "step": 9966 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.6189, "step": 9967 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.922, "step": 9968 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.9654, "step": 9969 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.6978, "step": 9970 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.8776, "step": 9971 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.6173, "step": 9972 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.9686, "step": 9973 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.8991, "step": 9974 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.9602, "step": 9975 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.7161, "step": 9976 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.9115, "step": 9977 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.7799, "step": 9978 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.6024, "step": 9979 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.7571, "step": 9980 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.8635, "step": 9981 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 1.0268, "step": 9982 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.8398, "step": 9983 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.8184, "step": 9984 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.8179, "step": 9985 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 1.1451, "step": 9986 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.6089, "step": 9987 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 1.0031, "step": 9988 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.9213, "step": 9989 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.7243, "step": 9990 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.924, "step": 9991 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.9832, "step": 9992 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.6486, "step": 9993 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.8541, "step": 9994 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.8705, "step": 9995 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 1.0011, "step": 9996 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.9728, "step": 9997 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.9771, "step": 9998 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.9493, "step": 9999 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.8913, "step": 10000 }, { "epoch": 1.73, "eval_loss": 0.9135785102844238, "eval_runtime": 110.2582, "eval_samples_per_second": 9.07, "eval_steps_per_second": 4.535, "step": 10000 }, { "epoch": 1.73, "mmlu_eval_accuracy": 0.5100457603327164, "mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182, "mmlu_eval_accuracy_anatomy": 0.35714285714285715, "mmlu_eval_accuracy_astronomy": 0.8125, "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, "mmlu_eval_accuracy_college_biology": 0.5625, "mmlu_eval_accuracy_college_chemistry": 0.0, "mmlu_eval_accuracy_college_computer_science": 0.6363636363636364, "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727, "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": 0.4230769230769231, "mmlu_eval_accuracy_econometrics": 0.16666666666666666, "mmlu_eval_accuracy_electrical_engineering": 0.5, "mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244, "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, "mmlu_eval_accuracy_global_facts": 0.1, "mmlu_eval_accuracy_high_school_biology": 0.53125, "mmlu_eval_accuracy_high_school_chemistry": 0.22727272727272727, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, "mmlu_eval_accuracy_high_school_geography": 0.6818181818181818, "mmlu_eval_accuracy_high_school_government_and_politics": 0.7619047619047619, "mmlu_eval_accuracy_high_school_macroeconomics": 0.4186046511627907, "mmlu_eval_accuracy_high_school_mathematics": 0.3103448275862069, "mmlu_eval_accuracy_high_school_microeconomics": 0.6153846153846154, "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, "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": 0.4230769230769231, "mmlu_eval_accuracy_human_aging": 0.6086956521739131, "mmlu_eval_accuracy_human_sexuality": 0.25, "mmlu_eval_accuracy_international_law": 0.8461538461538461, "mmlu_eval_accuracy_jurisprudence": 0.5454545454545454, "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, "mmlu_eval_accuracy_machine_learning": 0.36363636363636365, "mmlu_eval_accuracy_management": 0.6363636363636364, "mmlu_eval_accuracy_marketing": 0.84, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.6976744186046512, "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, "mmlu_eval_accuracy_moral_scenarios": 0.36, "mmlu_eval_accuracy_nutrition": 0.6363636363636364, "mmlu_eval_accuracy_philosophy": 0.6176470588235294, "mmlu_eval_accuracy_prehistory": 0.5428571428571428, "mmlu_eval_accuracy_professional_accounting": 0.4838709677419355, "mmlu_eval_accuracy_professional_law": 0.3764705882352941, "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": 0.5555555555555556, "mmlu_eval_accuracy_sociology": 0.6818181818181818, "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, "mmlu_eval_accuracy_virology": 0.5, "mmlu_eval_accuracy_world_religions": 0.6842105263157895, "mmlu_loss": 0.9517134418492218, "step": 10000 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.8059, "step": 10001 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.9836, "step": 10002 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.9355, "step": 10003 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.7053, "step": 10004 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.8951, "step": 10005 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.6908, "step": 10006 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.6693, "step": 10007 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.6253, "step": 10008 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 0.6985, "step": 10009 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.9257, "step": 10010 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.302, "step": 10011 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.5097, "step": 10012 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.7634, "step": 10013 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.6406, "step": 10014 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.7571, "step": 10015 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.7988, "step": 10016 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.9946, "step": 10017 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.8992, "step": 10018 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.8563, "step": 10019 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.8589, "step": 10020 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.5747, "step": 10021 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.7931, "step": 10022 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.8597, "step": 10023 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.9099, "step": 10024 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.8556, "step": 10025 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.8315, "step": 10026 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.9535, "step": 10027 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.8815, "step": 10028 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 1.0857, "step": 10029 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.8983, "step": 10030 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.7062, "step": 10031 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.8645, "step": 10032 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.6384, "step": 10033 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 1.0544, "step": 10034 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.5756, "step": 10035 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.9881, "step": 10036 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.724, "step": 10037 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.84, "step": 10038 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.7327, "step": 10039 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.522, "step": 10040 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.969, "step": 10041 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.859, "step": 10042 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.9778, "step": 10043 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.7078, "step": 10044 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.6095, "step": 10045 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.4431, "step": 10046 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 1.0127, "step": 10047 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.639, "step": 10048 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.6627, "step": 10049 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.7797, "step": 10050 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 1.0556, "step": 10051 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.795, "step": 10052 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.9364, "step": 10053 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.7624, "step": 10054 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.6954, "step": 10055 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.7791, "step": 10056 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.985, "step": 10057 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 1.0227, "step": 10058 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.9126, "step": 10059 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.5453, "step": 10060 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.9019, "step": 10061 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.7161, "step": 10062 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.6455, "step": 10063 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.9083, "step": 10064 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.6812, "step": 10065 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.8687, "step": 10066 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 0.9554, "step": 10067 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.9767, "step": 10068 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.7941, "step": 10069 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.7097, "step": 10070 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.7278, "step": 10071 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.8994, "step": 10072 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.7014, "step": 10073 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.806, "step": 10074 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.8334, "step": 10075 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.7942, "step": 10076 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.882, "step": 10077 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.8609, "step": 10078 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.7227, "step": 10079 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.6779, "step": 10080 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.8615, "step": 10081 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.8417, "step": 10082 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.828, "step": 10083 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.8267, "step": 10084 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.7329, "step": 10085 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.6911, "step": 10086 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.7642, "step": 10087 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.6439, "step": 10088 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.8222, "step": 10089 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.7231, "step": 10090 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.8143, "step": 10091 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 1.0173, "step": 10092 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.7217, "step": 10093 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.6872, "step": 10094 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.7089, "step": 10095 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.7305, "step": 10096 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.72, "step": 10097 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.7609, "step": 10098 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.8086, "step": 10099 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.934, "step": 10100 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.9428, "step": 10101 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.9295, "step": 10102 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.7746, "step": 10103 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.7876, "step": 10104 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 1.1297, "step": 10105 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.7806, "step": 10106 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.5093, "step": 10107 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.8679, "step": 10108 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.5937, "step": 10109 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.8843, "step": 10110 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.789, "step": 10111 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.8, "step": 10112 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.6837, "step": 10113 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.6191, "step": 10114 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.5272, "step": 10115 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.9473, "step": 10116 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.7963, "step": 10117 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.7505, "step": 10118 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.8653, "step": 10119 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.8652, "step": 10120 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.9744, "step": 10121 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.9378, "step": 10122 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.8037, "step": 10123 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.8517, "step": 10124 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 0.8228, "step": 10125 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.7129, "step": 10126 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.7184, "step": 10127 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.7772, "step": 10128 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.4284, "step": 10129 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.7603, "step": 10130 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.947, "step": 10131 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.3659, "step": 10132 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.9871, "step": 10133 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.8626, "step": 10134 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.9627, "step": 10135 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.856, "step": 10136 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.7574, "step": 10137 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.8591, "step": 10138 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.7698, "step": 10139 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 1.0897, "step": 10140 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.941, "step": 10141 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.7484, "step": 10142 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.9414, "step": 10143 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 1.0436, "step": 10144 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.8652, "step": 10145 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.8836, "step": 10146 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.6651, "step": 10147 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.5972, "step": 10148 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.809, "step": 10149 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.8076, "step": 10150 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.6229, "step": 10151 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.7552, "step": 10152 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.7908, "step": 10153 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.637, "step": 10154 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.6489, "step": 10155 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.895, "step": 10156 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.8874, "step": 10157 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.7028, "step": 10158 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.5856, "step": 10159 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.4966, "step": 10160 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 1.008, "step": 10161 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.9172, "step": 10162 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.8204, "step": 10163 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.8507, "step": 10164 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.7201, "step": 10165 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.7076, "step": 10166 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.9052, "step": 10167 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.6385, "step": 10168 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.8588, "step": 10169 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.5279, "step": 10170 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.8534, "step": 10171 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.8683, "step": 10172 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.9701, "step": 10173 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.8506, "step": 10174 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.8284, "step": 10175 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.8835, "step": 10176 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.7326, "step": 10177 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 1.0231, "step": 10178 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.7285, "step": 10179 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.9283, "step": 10180 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.4845, "step": 10181 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 0.9352, "step": 10182 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.7886, "step": 10183 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.8932, "step": 10184 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.8078, "step": 10185 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.6664, "step": 10186 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.8681, "step": 10187 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.9359, "step": 10188 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.6219, "step": 10189 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.8422, "step": 10190 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.809, "step": 10191 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.7595, "step": 10192 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.7873, "step": 10193 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.5483, "step": 10194 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.8722, "step": 10195 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 1.0257, "step": 10196 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.7427, "step": 10197 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.7406, "step": 10198 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.6182, "step": 10199 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 1.0206, "step": 10200 }, { "epoch": 1.77, "eval_loss": 0.9139915108680725, "eval_runtime": 110.3099, "eval_samples_per_second": 9.065, "eval_steps_per_second": 4.533, "step": 10200 }, { "epoch": 1.77, "mmlu_eval_accuracy": 0.4902080557305307, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.5, "mmlu_eval_accuracy_astronomy": 0.375, "mmlu_eval_accuracy_business_ethics": 0.36363636363636365, "mmlu_eval_accuracy_clinical_knowledge": 0.5517241379310345, "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": 0.18181818181818182, "mmlu_eval_accuracy_college_medicine": 0.5, "mmlu_eval_accuracy_college_physics": 0.5454545454545454, "mmlu_eval_accuracy_computer_security": 0.5454545454545454, "mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464, "mmlu_eval_accuracy_econometrics": 0.4166666666666667, "mmlu_eval_accuracy_electrical_engineering": 0.3125, "mmlu_eval_accuracy_elementary_mathematics": 0.2926829268292683, "mmlu_eval_accuracy_formal_logic": 0.35714285714285715, "mmlu_eval_accuracy_global_facts": 0.4, "mmlu_eval_accuracy_high_school_biology": 0.6875, "mmlu_eval_accuracy_high_school_chemistry": 0.18181818181818182, "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, "mmlu_eval_accuracy_high_school_european_history": 0.4444444444444444, "mmlu_eval_accuracy_high_school_geography": 0.6818181818181818, "mmlu_eval_accuracy_high_school_government_and_politics": 0.5714285714285714, "mmlu_eval_accuracy_high_school_macroeconomics": 0.4418604651162791, "mmlu_eval_accuracy_high_school_mathematics": 0.13793103448275862, "mmlu_eval_accuracy_high_school_microeconomics": 0.5, "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, "mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334, "mmlu_eval_accuracy_high_school_statistics": 0.4782608695652174, "mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364, "mmlu_eval_accuracy_high_school_world_history": 0.5769230769230769, "mmlu_eval_accuracy_human_aging": 0.5652173913043478, "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": 0.18181818181818182, "mmlu_eval_accuracy_management": 0.6363636363636364, "mmlu_eval_accuracy_marketing": 0.68, "mmlu_eval_accuracy_medical_genetics": 0.8181818181818182, "mmlu_eval_accuracy_miscellaneous": 0.6395348837209303, "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, "mmlu_eval_accuracy_moral_scenarios": 0.34, "mmlu_eval_accuracy_nutrition": 0.6060606060606061, "mmlu_eval_accuracy_philosophy": 0.5588235294117647, "mmlu_eval_accuracy_prehistory": 0.7142857142857143, "mmlu_eval_accuracy_professional_accounting": 0.2903225806451613, "mmlu_eval_accuracy_professional_law": 0.3588235294117647, "mmlu_eval_accuracy_professional_medicine": 0.41935483870967744, "mmlu_eval_accuracy_professional_psychology": 0.5072463768115942, "mmlu_eval_accuracy_public_relations": 0.5833333333333334, "mmlu_eval_accuracy_security_studies": 0.48148148148148145, "mmlu_eval_accuracy_sociology": 0.6818181818181818, "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, "mmlu_eval_accuracy_virology": 0.5, "mmlu_eval_accuracy_world_religions": 0.631578947368421, "mmlu_loss": 0.9003343568536071, "step": 10200 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.9576, "step": 10201 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.8678, "step": 10202 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.6779, "step": 10203 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 1.0967, "step": 10204 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.9557, "step": 10205 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.793, "step": 10206 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.7068, "step": 10207 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.6301, "step": 10208 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.7787, "step": 10209 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.7876, "step": 10210 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 1.0143, "step": 10211 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.7378, "step": 10212 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.7798, "step": 10213 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.7339, "step": 10214 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.7775, "step": 10215 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 1.0229, "step": 10216 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.9667, "step": 10217 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.9217, "step": 10218 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.7595, "step": 10219 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.757, "step": 10220 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.9239, "step": 10221 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 1.0357, "step": 10222 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.714, "step": 10223 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.7646, "step": 10224 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 1.0501, "step": 10225 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.9607, "step": 10226 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.9173, "step": 10227 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.7491, "step": 10228 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.9807, "step": 10229 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.8554, "step": 10230 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.8701, "step": 10231 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.6716, "step": 10232 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.6351, "step": 10233 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.6395, "step": 10234 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.7196, "step": 10235 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 1.2874, "step": 10236 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.7293, "step": 10237 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.7731, "step": 10238 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.6282, "step": 10239 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 0.607, "step": 10240 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.7818, "step": 10241 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.8939, "step": 10242 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.537, "step": 10243 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.7229, "step": 10244 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.6399, "step": 10245 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.8601, "step": 10246 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.9652, "step": 10247 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.7695, "step": 10248 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.6269, "step": 10249 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.5407, "step": 10250 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.6466, "step": 10251 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.6161, "step": 10252 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.9483, "step": 10253 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 1.0007, "step": 10254 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.9203, "step": 10255 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.9353, "step": 10256 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 1.0942, "step": 10257 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.7742, "step": 10258 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.7989, "step": 10259 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.7271, "step": 10260 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.7601, "step": 10261 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.786, "step": 10262 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.8666, "step": 10263 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.8577, "step": 10264 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.8706, "step": 10265 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.9818, "step": 10266 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.8734, "step": 10267 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.8355, "step": 10268 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.7519, "step": 10269 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.9374, "step": 10270 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.6081, "step": 10271 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.861, "step": 10272 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.8805, "step": 10273 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.7975, "step": 10274 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.6625, "step": 10275 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.583, "step": 10276 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.9268, "step": 10277 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.6693, "step": 10278 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.8593, "step": 10279 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.8429, "step": 10280 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.8903, "step": 10281 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.7067, "step": 10282 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.9035, "step": 10283 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.9922, "step": 10284 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.9562, "step": 10285 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.6083, "step": 10286 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.923, "step": 10287 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.906, "step": 10288 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.8249, "step": 10289 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 1.0919, "step": 10290 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.9128, "step": 10291 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.7727, "step": 10292 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.7095, "step": 10293 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.8523, "step": 10294 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.8304, "step": 10295 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.9398, "step": 10296 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.86, "step": 10297 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 0.725, "step": 10298 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.7599, "step": 10299 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.7359, "step": 10300 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.7753, "step": 10301 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.819, "step": 10302 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.9149, "step": 10303 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.8223, "step": 10304 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.6166, "step": 10305 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.8578, "step": 10306 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.8909, "step": 10307 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.9121, "step": 10308 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.6867, "step": 10309 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.86, "step": 10310 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.6915, "step": 10311 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.8359, "step": 10312 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 1.0188, "step": 10313 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.6955, "step": 10314 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.8348, "step": 10315 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.8492, "step": 10316 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.8879, "step": 10317 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.5457, "step": 10318 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.8572, "step": 10319 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.7162, "step": 10320 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.7313, "step": 10321 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.751, "step": 10322 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.9583, "step": 10323 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.9868, "step": 10324 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.7236, "step": 10325 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.8587, "step": 10326 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 1.1001, "step": 10327 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.8503, "step": 10328 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.8097, "step": 10329 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.6791, "step": 10330 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.8442, "step": 10331 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 1.0032, "step": 10332 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.7813, "step": 10333 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.7799, "step": 10334 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.873, "step": 10335 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.7258, "step": 10336 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.7823, "step": 10337 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.6189, "step": 10338 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.7843, "step": 10339 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.8329, "step": 10340 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.9964, "step": 10341 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.8263, "step": 10342 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.6846, "step": 10343 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.7526, "step": 10344 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.681, "step": 10345 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.9367, "step": 10346 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.8852, "step": 10347 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.7855, "step": 10348 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.5501, "step": 10349 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.707, "step": 10350 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.9379, "step": 10351 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.8029, "step": 10352 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.7967, "step": 10353 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 0.822, "step": 10354 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 1.0802, "step": 10355 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.841, "step": 10356 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.5668, "step": 10357 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 1.0277, "step": 10358 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.6627, "step": 10359 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 1.0212, "step": 10360 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.8213, "step": 10361 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.9782, "step": 10362 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.5685, "step": 10363 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.8389, "step": 10364 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.9072, "step": 10365 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.7172, "step": 10366 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.7799, "step": 10367 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.7694, "step": 10368 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.6395, "step": 10369 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.8403, "step": 10370 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 1.0098, "step": 10371 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.8711, "step": 10372 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 1.0701, "step": 10373 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.868, "step": 10374 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.627, "step": 10375 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.8188, "step": 10376 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.9355, "step": 10377 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.8086, "step": 10378 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.7777, "step": 10379 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.8064, "step": 10380 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.7595, "step": 10381 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.7253, "step": 10382 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.7445, "step": 10383 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.5886, "step": 10384 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.7166, "step": 10385 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.8642, "step": 10386 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.7483, "step": 10387 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.9614, "step": 10388 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.6608, "step": 10389 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.7411, "step": 10390 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 1.2628, "step": 10391 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 1.1297, "step": 10392 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.8239, "step": 10393 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.5309, "step": 10394 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.8476, "step": 10395 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.6603, "step": 10396 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.4943, "step": 10397 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.6703, "step": 10398 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 1.0567, "step": 10399 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.8374, "step": 10400 }, { "epoch": 1.8, "eval_loss": 0.9070773720741272, "eval_runtime": 110.225, "eval_samples_per_second": 9.072, "eval_steps_per_second": 4.536, "step": 10400 }, { "epoch": 1.8, "mmlu_eval_accuracy": 0.486833683031729, "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, "mmlu_eval_accuracy_anatomy": 0.35714285714285715, "mmlu_eval_accuracy_astronomy": 0.4375, "mmlu_eval_accuracy_business_ethics": 0.45454545454545453, "mmlu_eval_accuracy_clinical_knowledge": 0.4827586206896552, "mmlu_eval_accuracy_college_biology": 0.5, "mmlu_eval_accuracy_college_chemistry": 0.0, "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365, "mmlu_eval_accuracy_college_mathematics": 0.18181818181818182, "mmlu_eval_accuracy_college_medicine": 0.5, "mmlu_eval_accuracy_college_physics": 0.5454545454545454, "mmlu_eval_accuracy_computer_security": 0.5454545454545454, "mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231, "mmlu_eval_accuracy_econometrics": 0.16666666666666666, "mmlu_eval_accuracy_electrical_engineering": 0.25, "mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637, "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, "mmlu_eval_accuracy_global_facts": 0.4, "mmlu_eval_accuracy_high_school_biology": 0.59375, "mmlu_eval_accuracy_high_school_chemistry": 0.18181818181818182, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.4444444444444444, "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, "mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191, "mmlu_eval_accuracy_high_school_macroeconomics": 0.4418604651162791, "mmlu_eval_accuracy_high_school_mathematics": 0.10344827586206896, "mmlu_eval_accuracy_high_school_microeconomics": 0.5769230769230769, "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, "mmlu_eval_accuracy_high_school_psychology": 0.8166666666666667, "mmlu_eval_accuracy_high_school_statistics": 0.5217391304347826, "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, "mmlu_eval_accuracy_high_school_world_history": 0.6153846153846154, "mmlu_eval_accuracy_human_aging": 0.5652173913043478, "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, "mmlu_eval_accuracy_international_law": 0.9230769230769231, "mmlu_eval_accuracy_jurisprudence": 0.36363636363636365, "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, "mmlu_eval_accuracy_machine_learning": 0.2727272727272727, "mmlu_eval_accuracy_management": 0.7272727272727273, "mmlu_eval_accuracy_marketing": 0.8, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.686046511627907, "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, "mmlu_eval_accuracy_moral_scenarios": 0.27, "mmlu_eval_accuracy_nutrition": 0.696969696969697, "mmlu_eval_accuracy_philosophy": 0.6470588235294118, "mmlu_eval_accuracy_prehistory": 0.7428571428571429, "mmlu_eval_accuracy_professional_accounting": 0.3225806451612903, "mmlu_eval_accuracy_professional_law": 0.34705882352941175, "mmlu_eval_accuracy_professional_medicine": 0.41935483870967744, "mmlu_eval_accuracy_professional_psychology": 0.5652173913043478, "mmlu_eval_accuracy_public_relations": 0.5, "mmlu_eval_accuracy_security_studies": 0.5925925925925926, "mmlu_eval_accuracy_sociology": 0.6363636363636364, "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, "mmlu_eval_accuracy_virology": 0.4444444444444444, "mmlu_eval_accuracy_world_religions": 0.6842105263157895, "mmlu_loss": 0.8628712428962282, "step": 10400 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.8094, "step": 10401 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.7804, "step": 10402 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.5864, "step": 10403 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.7441, "step": 10404 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.9868, "step": 10405 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.938, "step": 10406 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.8276, "step": 10407 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.7957, "step": 10408 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.7154, "step": 10409 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.8784, "step": 10410 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.7618, "step": 10411 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.8394, "step": 10412 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 0.8528, "step": 10413 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.7138, "step": 10414 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.5675, "step": 10415 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.9458, "step": 10416 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.9226, "step": 10417 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 1.1015, "step": 10418 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.8886, "step": 10419 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.7548, "step": 10420 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.8578, "step": 10421 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 1.0869, "step": 10422 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.9287, "step": 10423 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.7871, "step": 10424 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.7813, "step": 10425 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.8244, "step": 10426 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 1.0081, "step": 10427 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.9919, "step": 10428 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 1.0426, "step": 10429 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.754, "step": 10430 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.8421, "step": 10431 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.7827, "step": 10432 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.9639, "step": 10433 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.8451, "step": 10434 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.701, "step": 10435 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.9836, "step": 10436 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.9505, "step": 10437 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.6503, "step": 10438 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.8968, "step": 10439 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.807, "step": 10440 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.7568, "step": 10441 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 1.0381, "step": 10442 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.5809, "step": 10443 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.9335, "step": 10444 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.8801, "step": 10445 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.9274, "step": 10446 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.745, "step": 10447 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.9894, "step": 10448 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.8633, "step": 10449 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.7441, "step": 10450 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.8041, "step": 10451 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.7372, "step": 10452 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.7845, "step": 10453 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.9451, "step": 10454 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 1.1395, "step": 10455 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.7795, "step": 10456 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.9002, "step": 10457 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.7983, "step": 10458 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.7269, "step": 10459 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.4994, "step": 10460 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.9004, "step": 10461 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.6602, "step": 10462 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.4802, "step": 10463 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.9394, "step": 10464 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 1.0162, "step": 10465 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.7887, "step": 10466 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.9683, "step": 10467 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.7948, "step": 10468 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.5308, "step": 10469 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.7535, "step": 10470 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 0.855, "step": 10471 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.8902, "step": 10472 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.7029, "step": 10473 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.8271, "step": 10474 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.6793, "step": 10475 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.8086, "step": 10476 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.5325, "step": 10477 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.9935, "step": 10478 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.7589, "step": 10479 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.9113, "step": 10480 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.8083, "step": 10481 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.6331, "step": 10482 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.9345, "step": 10483 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.8619, "step": 10484 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.788, "step": 10485 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.5242, "step": 10486 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.8594, "step": 10487 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.4801, "step": 10488 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 1.112, "step": 10489 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.6909, "step": 10490 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 1.0436, "step": 10491 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.8155, "step": 10492 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.9605, "step": 10493 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.7857, "step": 10494 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 1.1409, "step": 10495 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 1.0852, "step": 10496 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.9773, "step": 10497 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.8075, "step": 10498 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.5868, "step": 10499 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.8476, "step": 10500 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.7464, "step": 10501 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.4486, "step": 10502 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.6945, "step": 10503 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.8563, "step": 10504 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 1.0291, "step": 10505 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.5732, "step": 10506 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.7204, "step": 10507 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.9692, "step": 10508 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.7661, "step": 10509 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.6183, "step": 10510 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.8633, "step": 10511 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.6017, "step": 10512 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.8631, "step": 10513 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.5139, "step": 10514 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.8598, "step": 10515 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 1.0334, "step": 10516 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 1.0022, "step": 10517 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.9553, "step": 10518 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.468, "step": 10519 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.5563, "step": 10520 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.8103, "step": 10521 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 1.0114, "step": 10522 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.8901, "step": 10523 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.7665, "step": 10524 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.6816, "step": 10525 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.7513, "step": 10526 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.7938, "step": 10527 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 0.8549, "step": 10528 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.9818, "step": 10529 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.7114, "step": 10530 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.7866, "step": 10531 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.8346, "step": 10532 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.8112, "step": 10533 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.8564, "step": 10534 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.6433, "step": 10535 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.6635, "step": 10536 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.9771, "step": 10537 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.7009, "step": 10538 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.9591, "step": 10539 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.6226, "step": 10540 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.9344, "step": 10541 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.6911, "step": 10542 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.8326, "step": 10543 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.875, "step": 10544 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.9843, "step": 10545 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.55, "step": 10546 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.512, "step": 10547 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.7278, "step": 10548 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.6708, "step": 10549 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.6316, "step": 10550 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.8725, "step": 10551 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.5977, "step": 10552 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.8964, "step": 10553 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.6896, "step": 10554 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.7742, "step": 10555 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.668, "step": 10556 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 1.0866, "step": 10557 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.3606, "step": 10558 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.9569, "step": 10559 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.9959, "step": 10560 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.718, "step": 10561 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.6856, "step": 10562 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.8058, "step": 10563 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.9691, "step": 10564 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.6833, "step": 10565 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.889, "step": 10566 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.7387, "step": 10567 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.9632, "step": 10568 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.9178, "step": 10569 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.7385, "step": 10570 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.6542, "step": 10571 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.5433, "step": 10572 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.8934, "step": 10573 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.6267, "step": 10574 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.9294, "step": 10575 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.8145, "step": 10576 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.8233, "step": 10577 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.8489, "step": 10578 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.6862, "step": 10579 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.8133, "step": 10580 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.8596, "step": 10581 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.9232, "step": 10582 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.7987, "step": 10583 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 1.008, "step": 10584 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.8833, "step": 10585 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 0.4047, "step": 10586 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.6018, "step": 10587 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.6759, "step": 10588 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 1.1015, "step": 10589 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.84, "step": 10590 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 1.047, "step": 10591 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.5032, "step": 10592 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.8639, "step": 10593 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.8116, "step": 10594 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.6473, "step": 10595 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.5412, "step": 10596 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.8022, "step": 10597 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.891, "step": 10598 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.7235, "step": 10599 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.9831, "step": 10600 }, { "epoch": 1.84, "eval_loss": 0.9115567803382874, "eval_runtime": 110.3073, "eval_samples_per_second": 9.066, "eval_steps_per_second": 4.533, "step": 10600 }, { "epoch": 1.84, "mmlu_eval_accuracy": 0.5273711473833445, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.42857142857142855, "mmlu_eval_accuracy_astronomy": 0.375, "mmlu_eval_accuracy_business_ethics": 0.36363636363636365, "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": 0.5454545454545454, "mmlu_eval_accuracy_college_mathematics": 0.09090909090909091, "mmlu_eval_accuracy_college_medicine": 0.5909090909090909, "mmlu_eval_accuracy_college_physics": 0.7272727272727273, "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": 0.375, "mmlu_eval_accuracy_elementary_mathematics": 0.2926829268292683, "mmlu_eval_accuracy_formal_logic": 0.35714285714285715, "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": 0.6666666666666666, "mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112, "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, "mmlu_eval_accuracy_high_school_government_and_politics": 0.7619047619047619, "mmlu_eval_accuracy_high_school_macroeconomics": 0.6046511627906976, "mmlu_eval_accuracy_high_school_mathematics": 0.10344827586206896, "mmlu_eval_accuracy_high_school_microeconomics": 0.5769230769230769, "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, "mmlu_eval_accuracy_high_school_psychology": 0.8166666666666667, "mmlu_eval_accuracy_high_school_statistics": 0.4782608695652174, "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, "mmlu_eval_accuracy_high_school_world_history": 0.5769230769230769, "mmlu_eval_accuracy_human_aging": 0.4782608695652174, "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": 0.18181818181818182, "mmlu_eval_accuracy_management": 0.7272727272727273, "mmlu_eval_accuracy_marketing": 0.8, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.6395348837209303, "mmlu_eval_accuracy_moral_disputes": 0.47368421052631576, "mmlu_eval_accuracy_moral_scenarios": 0.31, "mmlu_eval_accuracy_nutrition": 0.6060606060606061, "mmlu_eval_accuracy_philosophy": 0.6764705882352942, "mmlu_eval_accuracy_prehistory": 0.8, "mmlu_eval_accuracy_professional_accounting": 0.2903225806451613, "mmlu_eval_accuracy_professional_law": 0.37058823529411766, "mmlu_eval_accuracy_professional_medicine": 0.45161290322580644, "mmlu_eval_accuracy_professional_psychology": 0.5362318840579711, "mmlu_eval_accuracy_public_relations": 0.4166666666666667, "mmlu_eval_accuracy_security_studies": 0.6296296296296297, "mmlu_eval_accuracy_sociology": 0.7272727272727273, "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, "mmlu_eval_accuracy_virology": 0.4444444444444444, "mmlu_eval_accuracy_world_religions": 0.6842105263157895, "mmlu_loss": 0.7962305680520385, "step": 10600 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.8047, "step": 10601 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.7309, "step": 10602 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.7434, "step": 10603 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.8569, "step": 10604 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.6599, "step": 10605 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.5096, "step": 10606 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.9248, "step": 10607 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.712, "step": 10608 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.7715, "step": 10609 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.6597, "step": 10610 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.8266, "step": 10611 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.734, "step": 10612 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.6572, "step": 10613 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.8016, "step": 10614 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.692, "step": 10615 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.9099, "step": 10616 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.7338, "step": 10617 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.8152, "step": 10618 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.609, "step": 10619 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.4821, "step": 10620 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.8917, "step": 10621 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.9589, "step": 10622 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.9897, "step": 10623 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.8651, "step": 10624 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.5471, "step": 10625 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.8587, "step": 10626 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.7172, "step": 10627 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.7517, "step": 10628 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.7487, "step": 10629 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.8413, "step": 10630 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.7101, "step": 10631 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.9193, "step": 10632 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.971, "step": 10633 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.9738, "step": 10634 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.9583, "step": 10635 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.9217, "step": 10636 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.6797, "step": 10637 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.7831, "step": 10638 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.5299, "step": 10639 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.743, "step": 10640 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.9113, "step": 10641 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.6145, "step": 10642 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 0.8823, "step": 10643 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 1.152, "step": 10644 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.8534, "step": 10645 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.7176, "step": 10646 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.8249, "step": 10647 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.6453, "step": 10648 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.6421, "step": 10649 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.5162, "step": 10650 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.8949, "step": 10651 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.7184, "step": 10652 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.7167, "step": 10653 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.5543, "step": 10654 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.8892, "step": 10655 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.6366, "step": 10656 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.6952, "step": 10657 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.8756, "step": 10658 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.7291, "step": 10659 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.751, "step": 10660 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.7491, "step": 10661 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.7964, "step": 10662 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.6947, "step": 10663 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.7895, "step": 10664 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.6111, "step": 10665 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.5931, "step": 10666 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.8402, "step": 10667 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.775, "step": 10668 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.8425, "step": 10669 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.8246, "step": 10670 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.7981, "step": 10671 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.7551, "step": 10672 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.8076, "step": 10673 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.7131, "step": 10674 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.4866, "step": 10675 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.8434, "step": 10676 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.8719, "step": 10677 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.9363, "step": 10678 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.708, "step": 10679 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.804, "step": 10680 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.5091, "step": 10681 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.8355, "step": 10682 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 1.0498, "step": 10683 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.965, "step": 10684 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.6727, "step": 10685 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.8772, "step": 10686 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.9206, "step": 10687 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.6752, "step": 10688 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.8601, "step": 10689 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.8869, "step": 10690 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.7701, "step": 10691 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.5305, "step": 10692 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 1.0123, "step": 10693 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.8887, "step": 10694 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.7624, "step": 10695 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.8726, "step": 10696 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.8827, "step": 10697 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 1.0073, "step": 10698 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.9373, "step": 10699 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.8174, "step": 10700 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 0.9171, "step": 10701 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 1.0131, "step": 10702 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.9488, "step": 10703 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.8037, "step": 10704 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.8684, "step": 10705 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.8223, "step": 10706 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.9342, "step": 10707 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 1.101, "step": 10708 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.9523, "step": 10709 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 1.0167, "step": 10710 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.8275, "step": 10711 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.5539, "step": 10712 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.7394, "step": 10713 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.8008, "step": 10714 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.871, "step": 10715 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.4885, "step": 10716 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.8706, "step": 10717 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.9077, "step": 10718 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.8204, "step": 10719 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.558, "step": 10720 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.8497, "step": 10721 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.7185, "step": 10722 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.9304, "step": 10723 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.8519, "step": 10724 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 1.1804, "step": 10725 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 1.0096, "step": 10726 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.8948, "step": 10727 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 1.0023, "step": 10728 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.8337, "step": 10729 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.6268, "step": 10730 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.8125, "step": 10731 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.8485, "step": 10732 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.7027, "step": 10733 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.7107, "step": 10734 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.8367, "step": 10735 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.6041, "step": 10736 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.9506, "step": 10737 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.8528, "step": 10738 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.9009, "step": 10739 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.8056, "step": 10740 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.7159, "step": 10741 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.6236, "step": 10742 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.8815, "step": 10743 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.7677, "step": 10744 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.7849, "step": 10745 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.8446, "step": 10746 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.9051, "step": 10747 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.8771, "step": 10748 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.9203, "step": 10749 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.7104, "step": 10750 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.7445, "step": 10751 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 1.1523, "step": 10752 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.6684, "step": 10753 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.8983, "step": 10754 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.6997, "step": 10755 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.895, "step": 10756 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.822, "step": 10757 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.8692, "step": 10758 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 0.7019, "step": 10759 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.8403, "step": 10760 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.9522, "step": 10761 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.9528, "step": 10762 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.9055, "step": 10763 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.8437, "step": 10764 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 1.1075, "step": 10765 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.6561, "step": 10766 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.6478, "step": 10767 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.6735, "step": 10768 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.545, "step": 10769 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.6985, "step": 10770 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.4885, "step": 10771 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.5518, "step": 10772 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.8408, "step": 10773 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.841, "step": 10774 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.917, "step": 10775 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.5652, "step": 10776 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.5751, "step": 10777 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.6557, "step": 10778 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.6652, "step": 10779 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.8004, "step": 10780 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.6947, "step": 10781 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.8763, "step": 10782 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.9118, "step": 10783 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.9117, "step": 10784 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.6947, "step": 10785 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.8797, "step": 10786 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.6996, "step": 10787 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.9061, "step": 10788 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.9954, "step": 10789 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.7906, "step": 10790 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.8928, "step": 10791 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.7656, "step": 10792 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 1.0099, "step": 10793 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.7619, "step": 10794 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.8903, "step": 10795 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 1.0145, "step": 10796 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 1.0196, "step": 10797 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.841, "step": 10798 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.9425, "step": 10799 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.7417, "step": 10800 }, { "epoch": 1.87, "eval_loss": 0.9099425077438354, "eval_runtime": 110.1881, "eval_samples_per_second": 9.075, "eval_steps_per_second": 4.538, "step": 10800 }, { "epoch": 1.87, "mmlu_eval_accuracy": 0.4690116518214316, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.35714285714285715, "mmlu_eval_accuracy_astronomy": 0.4375, "mmlu_eval_accuracy_business_ethics": 0.45454545454545453, "mmlu_eval_accuracy_clinical_knowledge": 0.4827586206896552, "mmlu_eval_accuracy_college_biology": 0.625, "mmlu_eval_accuracy_college_chemistry": 0.0, "mmlu_eval_accuracy_college_computer_science": 0.5454545454545454, "mmlu_eval_accuracy_college_mathematics": 0.18181818181818182, "mmlu_eval_accuracy_college_medicine": 0.5454545454545454, "mmlu_eval_accuracy_college_physics": 0.2727272727272727, "mmlu_eval_accuracy_computer_security": 0.45454545454545453, "mmlu_eval_accuracy_conceptual_physics": 0.46153846153846156, "mmlu_eval_accuracy_econometrics": 0.08333333333333333, "mmlu_eval_accuracy_electrical_engineering": 0.375, "mmlu_eval_accuracy_elementary_mathematics": 0.2682926829268293, "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": 0.22727272727272727, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.5555555555555556, "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, "mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191, "mmlu_eval_accuracy_high_school_macroeconomics": 0.4186046511627907, "mmlu_eval_accuracy_high_school_mathematics": 0.3793103448275862, "mmlu_eval_accuracy_high_school_microeconomics": 0.6538461538461539, "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, "mmlu_eval_accuracy_high_school_psychology": 0.6833333333333333, "mmlu_eval_accuracy_high_school_statistics": 0.43478260869565216, "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, "mmlu_eval_accuracy_high_school_world_history": 0.5384615384615384, "mmlu_eval_accuracy_human_aging": 0.5652173913043478, "mmlu_eval_accuracy_human_sexuality": 0.25, "mmlu_eval_accuracy_international_law": 0.7692307692307693, "mmlu_eval_accuracy_jurisprudence": 0.45454545454545453, "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, "mmlu_eval_accuracy_machine_learning": 0.18181818181818182, "mmlu_eval_accuracy_management": 0.6363636363636364, "mmlu_eval_accuracy_marketing": 0.84, "mmlu_eval_accuracy_medical_genetics": 0.8181818181818182, "mmlu_eval_accuracy_miscellaneous": 0.6627906976744186, "mmlu_eval_accuracy_moral_disputes": 0.42105263157894735, "mmlu_eval_accuracy_moral_scenarios": 0.25, "mmlu_eval_accuracy_nutrition": 0.6060606060606061, "mmlu_eval_accuracy_philosophy": 0.5588235294117647, "mmlu_eval_accuracy_prehistory": 0.6, "mmlu_eval_accuracy_professional_accounting": 0.3225806451612903, "mmlu_eval_accuracy_professional_law": 0.3352941176470588, "mmlu_eval_accuracy_professional_medicine": 0.3870967741935484, "mmlu_eval_accuracy_professional_psychology": 0.5507246376811594, "mmlu_eval_accuracy_public_relations": 0.5, "mmlu_eval_accuracy_security_studies": 0.48148148148148145, "mmlu_eval_accuracy_sociology": 0.6363636363636364, "mmlu_eval_accuracy_us_foreign_policy": 0.5454545454545454, "mmlu_eval_accuracy_virology": 0.5, "mmlu_eval_accuracy_world_religions": 0.6842105263157895, "mmlu_loss": 1.0224714870260683, "step": 10800 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.6458, "step": 10801 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.8241, "step": 10802 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 1.031, "step": 10803 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.8376, "step": 10804 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.72, "step": 10805 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.8356, "step": 10806 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.9147, "step": 10807 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.7501, "step": 10808 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.9789, "step": 10809 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.6403, "step": 10810 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.6399, "step": 10811 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.6267, "step": 10812 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.9383, "step": 10813 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.7806, "step": 10814 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.744, "step": 10815 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.8583, "step": 10816 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 0.8767, "step": 10817 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.8363, "step": 10818 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 1.0903, "step": 10819 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.8964, "step": 10820 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 1.0634, "step": 10821 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.996, "step": 10822 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 1.0639, "step": 10823 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 1.0544, "step": 10824 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 1.0054, "step": 10825 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.8867, "step": 10826 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.7864, "step": 10827 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.995, "step": 10828 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.8046, "step": 10829 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.8214, "step": 10830 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.6319, "step": 10831 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.8234, "step": 10832 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.6333, "step": 10833 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.6779, "step": 10834 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.7802, "step": 10835 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.6381, "step": 10836 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.9174, "step": 10837 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.8815, "step": 10838 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.6734, "step": 10839 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.7873, "step": 10840 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.9633, "step": 10841 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.7226, "step": 10842 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 1.0248, "step": 10843 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.8556, "step": 10844 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.8013, "step": 10845 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.7845, "step": 10846 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.5933, "step": 10847 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.8726, "step": 10848 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.8821, "step": 10849 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.6487, "step": 10850 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.9067, "step": 10851 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 1.1818, "step": 10852 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.7856, "step": 10853 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.8256, "step": 10854 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.7452, "step": 10855 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.8056, "step": 10856 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.6978, "step": 10857 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.8487, "step": 10858 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 1.0024, "step": 10859 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.8629, "step": 10860 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.8617, "step": 10861 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.7032, "step": 10862 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 1.0318, "step": 10863 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.8279, "step": 10864 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.9006, "step": 10865 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.8367, "step": 10866 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.8778, "step": 10867 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.9097, "step": 10868 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.9005, "step": 10869 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.6876, "step": 10870 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.9597, "step": 10871 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.9076, "step": 10872 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.8975, "step": 10873 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 1.0159, "step": 10874 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 0.6016, "step": 10875 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.8299, "step": 10876 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.9045, "step": 10877 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.7127, "step": 10878 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.8305, "step": 10879 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 1.0774, "step": 10880 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.8293, "step": 10881 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.9036, "step": 10882 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.9874, "step": 10883 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.6671, "step": 10884 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.6746, "step": 10885 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.8828, "step": 10886 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.6551, "step": 10887 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.8137, "step": 10888 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.6778, "step": 10889 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.6544, "step": 10890 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 1.0174, "step": 10891 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.8876, "step": 10892 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.8162, "step": 10893 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.9086, "step": 10894 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.9551, "step": 10895 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.8927, "step": 10896 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.6931, "step": 10897 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.9191, "step": 10898 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.9142, "step": 10899 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.8033, "step": 10900 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.7371, "step": 10901 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.6885, "step": 10902 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.8008, "step": 10903 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.7132, "step": 10904 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.6052, "step": 10905 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 1.0887, "step": 10906 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.8174, "step": 10907 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.9421, "step": 10908 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.8317, "step": 10909 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.6535, "step": 10910 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.6805, "step": 10911 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.5716, "step": 10912 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.3591, "step": 10913 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.9051, "step": 10914 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 1.0049, "step": 10915 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.6501, "step": 10916 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.9715, "step": 10917 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.9378, "step": 10918 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.6846, "step": 10919 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.8132, "step": 10920 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.9569, "step": 10921 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.7356, "step": 10922 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.984, "step": 10923 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.6474, "step": 10924 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.7251, "step": 10925 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 1.0278, "step": 10926 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.8349, "step": 10927 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 1.0687, "step": 10928 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.9094, "step": 10929 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.8049, "step": 10930 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.6752, "step": 10931 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 0.6481, "step": 10932 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.9408, "step": 10933 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.72, "step": 10934 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 1.0543, "step": 10935 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.6186, "step": 10936 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.66, "step": 10937 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.8673, "step": 10938 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.8996, "step": 10939 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.5869, "step": 10940 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.5752, "step": 10941 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.8725, "step": 10942 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 1.0745, "step": 10943 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 1.0406, "step": 10944 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.738, "step": 10945 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.9029, "step": 10946 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.7603, "step": 10947 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.8716, "step": 10948 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.7821, "step": 10949 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.6542, "step": 10950 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 1.1252, "step": 10951 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.4095, "step": 10952 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.5946, "step": 10953 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.884, "step": 10954 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 1.0607, "step": 10955 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.7648, "step": 10956 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.7894, "step": 10957 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.5199, "step": 10958 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.7827, "step": 10959 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.9869, "step": 10960 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.6233, "step": 10961 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.6869, "step": 10962 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.9418, "step": 10963 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.8522, "step": 10964 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.9775, "step": 10965 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.6915, "step": 10966 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 1.0724, "step": 10967 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.8009, "step": 10968 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.797, "step": 10969 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.6604, "step": 10970 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.741, "step": 10971 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.7097, "step": 10972 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 1.1843, "step": 10973 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.6456, "step": 10974 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.6695, "step": 10975 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 1.0269, "step": 10976 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.7948, "step": 10977 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.9639, "step": 10978 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.7861, "step": 10979 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.8828, "step": 10980 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.7743, "step": 10981 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.803, "step": 10982 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.8028, "step": 10983 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.7981, "step": 10984 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.7764, "step": 10985 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.833, "step": 10986 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 1.001, "step": 10987 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.6705, "step": 10988 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.8289, "step": 10989 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 0.7937, "step": 10990 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.7254, "step": 10991 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.9879, "step": 10992 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.9337, "step": 10993 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.9785, "step": 10994 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.7, "step": 10995 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.6427, "step": 10996 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.9727, "step": 10997 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.7314, "step": 10998 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.7864, "step": 10999 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 1.0154, "step": 11000 }, { "epoch": 1.91, "eval_loss": 0.9191511273384094, "eval_runtime": 110.2507, "eval_samples_per_second": 9.07, "eval_steps_per_second": 4.535, "step": 11000 }, { "epoch": 1.91, "mmlu_eval_accuracy": 0.495539169849923, "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, "mmlu_eval_accuracy_anatomy": 0.42857142857142855, "mmlu_eval_accuracy_astronomy": 0.5625, "mmlu_eval_accuracy_business_ethics": 0.2727272727272727, "mmlu_eval_accuracy_clinical_knowledge": 0.6551724137931034, "mmlu_eval_accuracy_college_biology": 0.5, "mmlu_eval_accuracy_college_chemistry": 0.25, "mmlu_eval_accuracy_college_computer_science": 0.2727272727272727, "mmlu_eval_accuracy_college_mathematics": 0.09090909090909091, "mmlu_eval_accuracy_college_medicine": 0.6363636363636364, "mmlu_eval_accuracy_college_physics": 0.5454545454545454, "mmlu_eval_accuracy_computer_security": 0.5454545454545454, "mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231, "mmlu_eval_accuracy_econometrics": 0.25, "mmlu_eval_accuracy_electrical_engineering": 0.375, "mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637, "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": 0.22727272727272727, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112, "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, "mmlu_eval_accuracy_high_school_macroeconomics": 0.4883720930232558, "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": 0.8333333333333334, "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": 0.6086956521739131, "mmlu_eval_accuracy_human_sexuality": 0.3333333333333333, "mmlu_eval_accuracy_international_law": 0.7692307692307693, "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, "mmlu_eval_accuracy_machine_learning": 0.18181818181818182, "mmlu_eval_accuracy_management": 0.6363636363636364, "mmlu_eval_accuracy_marketing": 0.84, "mmlu_eval_accuracy_medical_genetics": 0.8181818181818182, "mmlu_eval_accuracy_miscellaneous": 0.6744186046511628, "mmlu_eval_accuracy_moral_disputes": 0.39473684210526316, "mmlu_eval_accuracy_moral_scenarios": 0.29, "mmlu_eval_accuracy_nutrition": 0.6363636363636364, "mmlu_eval_accuracy_philosophy": 0.5882352941176471, "mmlu_eval_accuracy_prehistory": 0.6285714285714286, "mmlu_eval_accuracy_professional_accounting": 0.25806451612903225, "mmlu_eval_accuracy_professional_law": 0.36470588235294116, "mmlu_eval_accuracy_professional_medicine": 0.5161290322580645, "mmlu_eval_accuracy_professional_psychology": 0.5942028985507246, "mmlu_eval_accuracy_public_relations": 0.3333333333333333, "mmlu_eval_accuracy_security_studies": 0.4074074074074074, "mmlu_eval_accuracy_sociology": 0.6818181818181818, "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, "mmlu_eval_accuracy_virology": 0.5555555555555556, "mmlu_eval_accuracy_world_religions": 0.5789473684210527, "mmlu_loss": 1.1111122138467533, "step": 11000 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.9841, "step": 11001 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.8933, "step": 11002 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.826, "step": 11003 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.7069, "step": 11004 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.8721, "step": 11005 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.9164, "step": 11006 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.9585, "step": 11007 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.6509, "step": 11008 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.6666, "step": 11009 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.7871, "step": 11010 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.6994, "step": 11011 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.8676, "step": 11012 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.9227, "step": 11013 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.8666, "step": 11014 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.8579, "step": 11015 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.7788, "step": 11016 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.8228, "step": 11017 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.9081, "step": 11018 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 1.1073, "step": 11019 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.7448, "step": 11020 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.6258, "step": 11021 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.8644, "step": 11022 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.7941, "step": 11023 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.6708, "step": 11024 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.7724, "step": 11025 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.6925, "step": 11026 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.7336, "step": 11027 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.4589, "step": 11028 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.8792, "step": 11029 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.9474, "step": 11030 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.649, "step": 11031 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.7003, "step": 11032 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.6866, "step": 11033 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.5406, "step": 11034 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.6029, "step": 11035 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.6025, "step": 11036 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.5883, "step": 11037 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.8699, "step": 11038 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.9678, "step": 11039 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.9185, "step": 11040 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.9115, "step": 11041 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.6228, "step": 11042 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.8852, "step": 11043 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.7978, "step": 11044 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.5106, "step": 11045 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.6488, "step": 11046 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.818, "step": 11047 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 0.5375, "step": 11048 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.6666, "step": 11049 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.6895, "step": 11050 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.7301, "step": 11051 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.7233, "step": 11052 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.6587, "step": 11053 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.6959, "step": 11054 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 1.1039, "step": 11055 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.9085, "step": 11056 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.9739, "step": 11057 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.8788, "step": 11058 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.5909, "step": 11059 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.9759, "step": 11060 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.715, "step": 11061 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.7395, "step": 11062 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 1.1768, "step": 11063 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.8244, "step": 11064 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.9691, "step": 11065 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.7457, "step": 11066 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 1.0365, "step": 11067 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.9385, "step": 11068 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.619, "step": 11069 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.8238, "step": 11070 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.8936, "step": 11071 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.7089, "step": 11072 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.5713, "step": 11073 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.8306, "step": 11074 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.6191, "step": 11075 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 1.0211, "step": 11076 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.7561, "step": 11077 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.7149, "step": 11078 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.877, "step": 11079 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.8401, "step": 11080 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.8983, "step": 11081 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.8611, "step": 11082 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.6551, "step": 11083 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.5635, "step": 11084 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.7233, "step": 11085 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.5934, "step": 11086 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 1.009, "step": 11087 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.899, "step": 11088 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.7563, "step": 11089 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.6866, "step": 11090 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.8172, "step": 11091 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.8211, "step": 11092 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.9135, "step": 11093 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.9809, "step": 11094 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 1.2386, "step": 11095 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.7427, "step": 11096 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.9137, "step": 11097 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.8772, "step": 11098 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.557, "step": 11099 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 1.1783, "step": 11100 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.7219, "step": 11101 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.8161, "step": 11102 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.733, "step": 11103 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.7734, "step": 11104 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 0.8725, "step": 11105 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.9065, "step": 11106 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.8585, "step": 11107 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.7659, "step": 11108 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.6174, "step": 11109 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.4559, "step": 11110 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 1.0964, "step": 11111 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.9912, "step": 11112 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.8125, "step": 11113 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.656, "step": 11114 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.8672, "step": 11115 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.9304, "step": 11116 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.729, "step": 11117 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.6903, "step": 11118 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.8629, "step": 11119 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.8744, "step": 11120 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.8599, "step": 11121 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.9488, "step": 11122 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.8259, "step": 11123 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.6621, "step": 11124 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.6884, "step": 11125 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 1.0115, "step": 11126 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.6159, "step": 11127 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.7637, "step": 11128 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.8438, "step": 11129 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.9081, "step": 11130 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.8683, "step": 11131 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.8918, "step": 11132 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.7252, "step": 11133 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.8386, "step": 11134 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.9624, "step": 11135 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.8583, "step": 11136 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.6431, "step": 11137 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 1.2201, "step": 11138 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.8386, "step": 11139 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.5377, "step": 11140 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.7214, "step": 11141 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.7527, "step": 11142 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.8931, "step": 11143 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.9581, "step": 11144 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.8143, "step": 11145 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.8318, "step": 11146 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.8976, "step": 11147 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 1.0947, "step": 11148 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.7961, "step": 11149 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.6404, "step": 11150 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.8376, "step": 11151 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.7503, "step": 11152 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.8227, "step": 11153 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.5785, "step": 11154 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.7918, "step": 11155 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.6952, "step": 11156 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.8844, "step": 11157 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 1.029, "step": 11158 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.8096, "step": 11159 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.7057, "step": 11160 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.76, "step": 11161 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 1.1655, "step": 11162 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 0.7853, "step": 11163 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.909, "step": 11164 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.8332, "step": 11165 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.9601, "step": 11166 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.8779, "step": 11167 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.916, "step": 11168 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 1.1722, "step": 11169 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.8246, "step": 11170 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.9512, "step": 11171 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 1.0031, "step": 11172 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.8394, "step": 11173 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.9478, "step": 11174 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.4793, "step": 11175 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.8447, "step": 11176 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.8794, "step": 11177 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.8059, "step": 11178 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.9478, "step": 11179 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.6103, "step": 11180 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.9598, "step": 11181 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.509, "step": 11182 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.7475, "step": 11183 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.8502, "step": 11184 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 1.0801, "step": 11185 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.9405, "step": 11186 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.8344, "step": 11187 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.9093, "step": 11188 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.8188, "step": 11189 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.9751, "step": 11190 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.8828, "step": 11191 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.9174, "step": 11192 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.9362, "step": 11193 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.6029, "step": 11194 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.822, "step": 11195 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.8203, "step": 11196 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.7244, "step": 11197 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.6757, "step": 11198 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.4847, "step": 11199 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.6101, "step": 11200 }, { "epoch": 1.94, "eval_loss": 0.9059450626373291, "eval_runtime": 110.2557, "eval_samples_per_second": 9.07, "eval_steps_per_second": 4.535, "step": 11200 }, { "epoch": 1.94, "mmlu_eval_accuracy": 0.4806418012657535, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.5714285714285714, "mmlu_eval_accuracy_astronomy": 0.375, "mmlu_eval_accuracy_business_ethics": 0.45454545454545453, "mmlu_eval_accuracy_clinical_knowledge": 0.4827586206896552, "mmlu_eval_accuracy_college_biology": 0.5625, "mmlu_eval_accuracy_college_chemistry": 0.125, "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, "mmlu_eval_accuracy_college_mathematics": 0.18181818181818182, "mmlu_eval_accuracy_college_medicine": 0.45454545454545453, "mmlu_eval_accuracy_college_physics": 0.5454545454545454, "mmlu_eval_accuracy_computer_security": 0.45454545454545453, "mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231, "mmlu_eval_accuracy_econometrics": 0.16666666666666666, "mmlu_eval_accuracy_electrical_engineering": 0.1875, "mmlu_eval_accuracy_elementary_mathematics": 0.2926829268292683, "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, "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": 0.5555555555555556, "mmlu_eval_accuracy_high_school_geography": 0.5909090909090909, "mmlu_eval_accuracy_high_school_government_and_politics": 0.42857142857142855, "mmlu_eval_accuracy_high_school_macroeconomics": 0.46511627906976744, "mmlu_eval_accuracy_high_school_mathematics": 0.13793103448275862, "mmlu_eval_accuracy_high_school_microeconomics": 0.6153846153846154, "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, "mmlu_eval_accuracy_high_school_psychology": 0.7333333333333333, "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, "mmlu_eval_accuracy_high_school_world_history": 0.5, "mmlu_eval_accuracy_human_aging": 0.6086956521739131, "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, "mmlu_eval_accuracy_international_law": 0.9230769230769231, "mmlu_eval_accuracy_jurisprudence": 0.36363636363636365, "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, "mmlu_eval_accuracy_machine_learning": 0.36363636363636365, "mmlu_eval_accuracy_management": 0.6363636363636364, "mmlu_eval_accuracy_marketing": 0.84, "mmlu_eval_accuracy_medical_genetics": 0.8181818181818182, "mmlu_eval_accuracy_miscellaneous": 0.6395348837209303, "mmlu_eval_accuracy_moral_disputes": 0.5, "mmlu_eval_accuracy_moral_scenarios": 0.31, "mmlu_eval_accuracy_nutrition": 0.6666666666666666, "mmlu_eval_accuracy_philosophy": 0.5882352941176471, "mmlu_eval_accuracy_prehistory": 0.7714285714285715, "mmlu_eval_accuracy_professional_accounting": 0.45161290322580644, "mmlu_eval_accuracy_professional_law": 0.34705882352941175, "mmlu_eval_accuracy_professional_medicine": 0.3548387096774194, "mmlu_eval_accuracy_professional_psychology": 0.5217391304347826, "mmlu_eval_accuracy_public_relations": 0.5, "mmlu_eval_accuracy_security_studies": 0.4444444444444444, "mmlu_eval_accuracy_sociology": 0.5909090909090909, "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, "mmlu_eval_accuracy_virology": 0.3888888888888889, "mmlu_eval_accuracy_world_religions": 0.6842105263157895, "mmlu_loss": 1.049569354638185, "step": 11200 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.6733, "step": 11201 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.9986, "step": 11202 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.9116, "step": 11203 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.9666, "step": 11204 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.7526, "step": 11205 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.6513, "step": 11206 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 1.0758, "step": 11207 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.8005, "step": 11208 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.7992, "step": 11209 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.8862, "step": 11210 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.8595, "step": 11211 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.9849, "step": 11212 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.8999, "step": 11213 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.8314, "step": 11214 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 1.1414, "step": 11215 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.6086, "step": 11216 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.5539, "step": 11217 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.7726, "step": 11218 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.8155, "step": 11219 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 1.1523, "step": 11220 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 0.9009, "step": 11221 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.9874, "step": 11222 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.8789, "step": 11223 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.7064, "step": 11224 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.6269, "step": 11225 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.889, "step": 11226 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.9391, "step": 11227 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.594, "step": 11228 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.715, "step": 11229 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.7429, "step": 11230 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.9252, "step": 11231 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.8664, "step": 11232 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.5367, "step": 11233 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.7913, "step": 11234 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.698, "step": 11235 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.56, "step": 11236 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 1.086, "step": 11237 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.8223, "step": 11238 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.8587, "step": 11239 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.7882, "step": 11240 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.9769, "step": 11241 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.8119, "step": 11242 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 1.0246, "step": 11243 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.6711, "step": 11244 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.9121, "step": 11245 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.7846, "step": 11246 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.7716, "step": 11247 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.6949, "step": 11248 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.9428, "step": 11249 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.7759, "step": 11250 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 1.1016, "step": 11251 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.9558, "step": 11252 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.88, "step": 11253 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.8095, "step": 11254 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.6493, "step": 11255 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.877, "step": 11256 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.7967, "step": 11257 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.6897, "step": 11258 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.6318, "step": 11259 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.7277, "step": 11260 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.8241, "step": 11261 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.693, "step": 11262 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.7798, "step": 11263 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.8305, "step": 11264 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.7439, "step": 11265 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 1.1705, "step": 11266 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.6544, "step": 11267 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.6566, "step": 11268 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.6528, "step": 11269 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 1.0537, "step": 11270 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.9825, "step": 11271 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.8034, "step": 11272 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.93, "step": 11273 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.6446, "step": 11274 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.5369, "step": 11275 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.8851, "step": 11276 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 1.0511, "step": 11277 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 0.7947, "step": 11278 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.6273, "step": 11279 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.7652, "step": 11280 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.8654, "step": 11281 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 1.022, "step": 11282 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 1.0626, "step": 11283 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.9439, "step": 11284 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.8193, "step": 11285 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.7727, "step": 11286 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.8059, "step": 11287 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.6218, "step": 11288 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.9658, "step": 11289 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 1.0302, "step": 11290 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.9344, "step": 11291 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.7237, "step": 11292 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.5962, "step": 11293 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.6847, "step": 11294 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 1.0655, "step": 11295 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 1.0131, "step": 11296 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.8634, "step": 11297 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.6772, "step": 11298 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.8661, "step": 11299 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.6644, "step": 11300 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.9387, "step": 11301 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.7819, "step": 11302 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.8274, "step": 11303 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.7466, "step": 11304 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.6176, "step": 11305 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.8401, "step": 11306 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.6617, "step": 11307 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.7397, "step": 11308 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.9647, "step": 11309 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.9741, "step": 11310 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.7448, "step": 11311 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.79, "step": 11312 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.9616, "step": 11313 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.709, "step": 11314 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.9029, "step": 11315 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.8294, "step": 11316 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.6814, "step": 11317 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 1.0372, "step": 11318 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 1.1261, "step": 11319 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.6145, "step": 11320 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.832, "step": 11321 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.6471, "step": 11322 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.872, "step": 11323 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.8588, "step": 11324 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.9041, "step": 11325 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.7368, "step": 11326 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.8736, "step": 11327 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.7304, "step": 11328 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 1.2099, "step": 11329 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.845, "step": 11330 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.8502, "step": 11331 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 1.1549, "step": 11332 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 1.0169, "step": 11333 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.6706, "step": 11334 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.9257, "step": 11335 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 0.7979, "step": 11336 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.8856, "step": 11337 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.8489, "step": 11338 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.9049, "step": 11339 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.5471, "step": 11340 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.7018, "step": 11341 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 1.1135, "step": 11342 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.6554, "step": 11343 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.5287, "step": 11344 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 1.1917, "step": 11345 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.8266, "step": 11346 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.7763, "step": 11347 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.8366, "step": 11348 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.66, "step": 11349 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.9359, "step": 11350 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.7979, "step": 11351 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.762, "step": 11352 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.5941, "step": 11353 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.874, "step": 11354 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.7719, "step": 11355 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.8166, "step": 11356 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.929, "step": 11357 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.9057, "step": 11358 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.7523, "step": 11359 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.8472, "step": 11360 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 1.006, "step": 11361 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.6526, "step": 11362 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.8857, "step": 11363 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.6986, "step": 11364 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.7743, "step": 11365 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.7885, "step": 11366 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.7664, "step": 11367 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.8489, "step": 11368 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.8331, "step": 11369 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.6169, "step": 11370 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.7158, "step": 11371 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 1.0159, "step": 11372 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.8112, "step": 11373 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.842, "step": 11374 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.944, "step": 11375 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.9448, "step": 11376 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.8916, "step": 11377 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.4498, "step": 11378 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.8339, "step": 11379 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.6777, "step": 11380 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 1.057, "step": 11381 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.8244, "step": 11382 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.7618, "step": 11383 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.8788, "step": 11384 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.6215, "step": 11385 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.6683, "step": 11386 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.8386, "step": 11387 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 1.017, "step": 11388 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.7291, "step": 11389 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.8766, "step": 11390 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.8779, "step": 11391 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 1.2116, "step": 11392 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 1.0623, "step": 11393 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 0.7277, "step": 11394 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.498, "step": 11395 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.6398, "step": 11396 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.902, "step": 11397 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.746, "step": 11398 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.6052, "step": 11399 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.9399, "step": 11400 }, { "epoch": 1.98, "eval_loss": 0.9174268245697021, "eval_runtime": 110.2618, "eval_samples_per_second": 9.069, "eval_steps_per_second": 4.535, "step": 11400 }, { "epoch": 1.98, "mmlu_eval_accuracy": 0.4775481027896007, "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, "mmlu_eval_accuracy_anatomy": 0.42857142857142855, "mmlu_eval_accuracy_astronomy": 0.5625, "mmlu_eval_accuracy_business_ethics": 0.18181818181818182, "mmlu_eval_accuracy_clinical_knowledge": 0.5172413793103449, "mmlu_eval_accuracy_college_biology": 0.625, "mmlu_eval_accuracy_college_chemistry": 0.0, "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, "mmlu_eval_accuracy_college_mathematics": 0.09090909090909091, "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": 0.5, "mmlu_eval_accuracy_econometrics": 0.25, "mmlu_eval_accuracy_electrical_engineering": 0.3125, "mmlu_eval_accuracy_elementary_mathematics": 0.3170731707317073, "mmlu_eval_accuracy_formal_logic": 0.07142857142857142, "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": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.5, "mmlu_eval_accuracy_high_school_geography": 0.6818181818181818, "mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191, "mmlu_eval_accuracy_high_school_macroeconomics": 0.46511627906976744, "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": 0.7833333333333333, "mmlu_eval_accuracy_high_school_statistics": 0.5652173913043478, "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, "mmlu_eval_accuracy_high_school_world_history": 0.5384615384615384, "mmlu_eval_accuracy_human_aging": 0.5217391304347826, "mmlu_eval_accuracy_human_sexuality": 0.25, "mmlu_eval_accuracy_international_law": 0.6923076923076923, "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, "mmlu_eval_accuracy_machine_learning": 0.18181818181818182, "mmlu_eval_accuracy_management": 0.7272727272727273, "mmlu_eval_accuracy_marketing": 0.68, "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": 0.3, "mmlu_eval_accuracy_nutrition": 0.6060606060606061, "mmlu_eval_accuracy_philosophy": 0.5294117647058824, "mmlu_eval_accuracy_prehistory": 0.7142857142857143, "mmlu_eval_accuracy_professional_accounting": 0.3870967741935484, "mmlu_eval_accuracy_professional_law": 0.3764705882352941, "mmlu_eval_accuracy_professional_medicine": 0.41935483870967744, "mmlu_eval_accuracy_professional_psychology": 0.4782608695652174, "mmlu_eval_accuracy_public_relations": 0.4166666666666667, "mmlu_eval_accuracy_security_studies": 0.37037037037037035, "mmlu_eval_accuracy_sociology": 0.5909090909090909, "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, "mmlu_eval_accuracy_virology": 0.4444444444444444, "mmlu_eval_accuracy_world_religions": 0.631578947368421, "mmlu_loss": 1.1783392452209331, "step": 11400 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.577, "step": 11401 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.9426, "step": 11402 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.9538, "step": 11403 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.7901, "step": 11404 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.9838, "step": 11405 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.9181, "step": 11406 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.8297, "step": 11407 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.502, "step": 11408 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 1.2499, "step": 11409 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.8594, "step": 11410 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.8628, "step": 11411 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.9943, "step": 11412 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.7769, "step": 11413 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.8454, "step": 11414 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 1.0284, "step": 11415 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.868, "step": 11416 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.9779, "step": 11417 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.9979, "step": 11418 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.6851, "step": 11419 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 1.0211, "step": 11420 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.6611, "step": 11421 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.7104, "step": 11422 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.7375, "step": 11423 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.9358, "step": 11424 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.8223, "step": 11425 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.7621, "step": 11426 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 1.121, "step": 11427 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 1.1045, "step": 11428 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.7056, "step": 11429 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.8268, "step": 11430 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.8244, "step": 11431 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 1.0638, "step": 11432 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.8536, "step": 11433 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.8371, "step": 11434 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.6702, "step": 11435 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.9662, "step": 11436 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.7973, "step": 11437 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 1.0745, "step": 11438 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.9195, "step": 11439 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.6464, "step": 11440 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.7079, "step": 11441 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.7517, "step": 11442 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.8391, "step": 11443 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.7127, "step": 11444 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.8679, "step": 11445 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.9808, "step": 11446 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.593, "step": 11447 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.9724, "step": 11448 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.8857, "step": 11449 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.8198, "step": 11450 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 0.8545, "step": 11451 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 1.0132, "step": 11452 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 1.0571, "step": 11453 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.7101, "step": 11454 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.635, "step": 11455 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.8475, "step": 11456 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.849, "step": 11457 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.7014, "step": 11458 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.8494, "step": 11459 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.9066, "step": 11460 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.8687, "step": 11461 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.7953, "step": 11462 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.7372, "step": 11463 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.8929, "step": 11464 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.9078, "step": 11465 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.7068, "step": 11466 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.8377, "step": 11467 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.6959, "step": 11468 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.8015, "step": 11469 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.9202, "step": 11470 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.7168, "step": 11471 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.9582, "step": 11472 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.8785, "step": 11473 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.757, "step": 11474 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 1.0141, "step": 11475 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.9388, "step": 11476 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.6143, "step": 11477 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.7946, "step": 11478 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.7956, "step": 11479 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 1.0534, "step": 11480 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.7044, "step": 11481 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.7451, "step": 11482 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.7175, "step": 11483 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 1.0341, "step": 11484 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.8741, "step": 11485 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.8841, "step": 11486 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.5902, "step": 11487 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.7655, "step": 11488 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 1.0737, "step": 11489 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.7308, "step": 11490 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.6378, "step": 11491 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.6194, "step": 11492 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.6921, "step": 11493 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.8637, "step": 11494 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 1.0177, "step": 11495 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.6465, "step": 11496 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.7067, "step": 11497 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.8383, "step": 11498 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 1.0327, "step": 11499 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.8582, "step": 11500 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 1.1089, "step": 11501 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 1.1927, "step": 11502 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.8018, "step": 11503 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.818, "step": 11504 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.9094, "step": 11505 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.8891, "step": 11506 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.6168, "step": 11507 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.858, "step": 11508 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 0.7764, "step": 11509 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.9663, "step": 11510 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.8958, "step": 11511 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.7845, "step": 11512 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.5887, "step": 11513 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.9031, "step": 11514 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.8939, "step": 11515 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.8689, "step": 11516 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.7693, "step": 11517 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.8041, "step": 11518 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.839, "step": 11519 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.9003, "step": 11520 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.8184, "step": 11521 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.7967, "step": 11522 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.9037, "step": 11523 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.5793, "step": 11524 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.8879, "step": 11525 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.8698, "step": 11526 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.8228, "step": 11527 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.7345, "step": 11528 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.6915, "step": 11529 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.7823, "step": 11530 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.6535, "step": 11531 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.7777, "step": 11532 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.8786, "step": 11533 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.6603, "step": 11534 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.8817, "step": 11535 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.6686, "step": 11536 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.7873, "step": 11537 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.9612, "step": 11538 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.7273, "step": 11539 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.64, "step": 11540 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.5371, "step": 11541 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.5954, "step": 11542 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.6033, "step": 11543 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.672, "step": 11544 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.379, "step": 11545 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.7875, "step": 11546 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.4733, "step": 11547 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.6955, "step": 11548 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.627, "step": 11549 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.6196, "step": 11550 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.6423, "step": 11551 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.6384, "step": 11552 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.9255, "step": 11553 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.7304, "step": 11554 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.5718, "step": 11555 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.5812, "step": 11556 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.4565, "step": 11557 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.6518, "step": 11558 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.8723, "step": 11559 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.6072, "step": 11560 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.6973, "step": 11561 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.5717, "step": 11562 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.6737, "step": 11563 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.6756, "step": 11564 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.615, "step": 11565 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.552, "step": 11566 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 0.6967, "step": 11567 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.3945, "step": 11568 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.5692, "step": 11569 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.4591, "step": 11570 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.7942, "step": 11571 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.5612, "step": 11572 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.7747, "step": 11573 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.7268, "step": 11574 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.5558, "step": 11575 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.6426, "step": 11576 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.2905, "step": 11577 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.7015, "step": 11578 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.573, "step": 11579 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.4439, "step": 11580 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.5726, "step": 11581 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.8862, "step": 11582 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.523, "step": 11583 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.477, "step": 11584 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.6616, "step": 11585 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.4397, "step": 11586 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.5966, "step": 11587 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.6116, "step": 11588 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.5189, "step": 11589 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.828, "step": 11590 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.4266, "step": 11591 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.5568, "step": 11592 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.522, "step": 11593 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.8839, "step": 11594 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.5816, "step": 11595 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.5258, "step": 11596 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.7013, "step": 11597 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.6414, "step": 11598 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.69, "step": 11599 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.4655, "step": 11600 }, { "epoch": 2.01, "eval_loss": 0.9435995817184448, "eval_runtime": 110.3244, "eval_samples_per_second": 9.064, "eval_steps_per_second": 4.532, "step": 11600 }, { "epoch": 2.01, "mmlu_eval_accuracy": 0.5146864471212274, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.42857142857142855, "mmlu_eval_accuracy_astronomy": 0.5, "mmlu_eval_accuracy_business_ethics": 0.36363636363636365, "mmlu_eval_accuracy_clinical_knowledge": 0.5517241379310345, "mmlu_eval_accuracy_college_biology": 0.5625, "mmlu_eval_accuracy_college_chemistry": 0.25, "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365, "mmlu_eval_accuracy_college_mathematics": 0.18181818181818182, "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": 0.5, "mmlu_eval_accuracy_econometrics": 0.25, "mmlu_eval_accuracy_electrical_engineering": 0.375, "mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637, "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": 0.2727272727272727, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.6666666666666666, "mmlu_eval_accuracy_high_school_geography": 0.7272727272727273, "mmlu_eval_accuracy_high_school_government_and_politics": 0.7619047619047619, "mmlu_eval_accuracy_high_school_macroeconomics": 0.46511627906976744, "mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483, "mmlu_eval_accuracy_high_school_microeconomics": 0.5, "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, "mmlu_eval_accuracy_high_school_psychology": 0.8666666666666667, "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": 0.6521739130434783, "mmlu_eval_accuracy_human_sexuality": 0.5, "mmlu_eval_accuracy_international_law": 0.7692307692307693, "mmlu_eval_accuracy_jurisprudence": 0.7272727272727273, "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, "mmlu_eval_accuracy_machine_learning": 0.36363636363636365, "mmlu_eval_accuracy_management": 0.7272727272727273, "mmlu_eval_accuracy_marketing": 0.72, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.6511627906976745, "mmlu_eval_accuracy_moral_disputes": 0.5, "mmlu_eval_accuracy_moral_scenarios": 0.3, "mmlu_eval_accuracy_nutrition": 0.6060606060606061, "mmlu_eval_accuracy_philosophy": 0.6176470588235294, "mmlu_eval_accuracy_prehistory": 0.6571428571428571, "mmlu_eval_accuracy_professional_accounting": 0.3870967741935484, "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": 0.5, "mmlu_eval_accuracy_security_studies": 0.5185185185185185, "mmlu_eval_accuracy_sociology": 0.7272727272727273, "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, "mmlu_eval_accuracy_virology": 0.5, "mmlu_eval_accuracy_world_religions": 0.631578947368421, "mmlu_loss": 1.1145833068802058, "step": 11600 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.4597, "step": 11601 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.4816, "step": 11602 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.6664, "step": 11603 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.5442, "step": 11604 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.5948, "step": 11605 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.7195, "step": 11606 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.4801, "step": 11607 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.8875, "step": 11608 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.8154, "step": 11609 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.4814, "step": 11610 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.7801, "step": 11611 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.4632, "step": 11612 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.6702, "step": 11613 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.3601, "step": 11614 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.4215, "step": 11615 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.527, "step": 11616 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.4998, "step": 11617 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.5703, "step": 11618 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.8846, "step": 11619 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.5633, "step": 11620 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.5259, "step": 11621 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.5847, "step": 11622 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.6679, "step": 11623 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.3645, "step": 11624 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 0.2633, "step": 11625 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.5619, "step": 11626 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.4506, "step": 11627 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.7473, "step": 11628 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.7775, "step": 11629 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.5798, "step": 11630 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.7242, "step": 11631 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.8601, "step": 11632 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.671, "step": 11633 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.6482, "step": 11634 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.8197, "step": 11635 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.6693, "step": 11636 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.439, "step": 11637 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.7661, "step": 11638 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.4473, "step": 11639 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.7337, "step": 11640 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.5235, "step": 11641 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.6396, "step": 11642 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.5283, "step": 11643 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.5999, "step": 11644 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.5124, "step": 11645 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.6601, "step": 11646 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.7199, "step": 11647 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.5584, "step": 11648 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.4975, "step": 11649 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.571, "step": 11650 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.8298, "step": 11651 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.5787, "step": 11652 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.8585, "step": 11653 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.4972, "step": 11654 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.5406, "step": 11655 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.685, "step": 11656 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.5956, "step": 11657 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.6727, "step": 11658 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.6443, "step": 11659 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.6201, "step": 11660 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.696, "step": 11661 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.4239, "step": 11662 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.5459, "step": 11663 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.5658, "step": 11664 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.3899, "step": 11665 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.5808, "step": 11666 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.5051, "step": 11667 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.2595, "step": 11668 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.5789, "step": 11669 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.7599, "step": 11670 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.4738, "step": 11671 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.8207, "step": 11672 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.6394, "step": 11673 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.7605, "step": 11674 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.819, "step": 11675 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.7481, "step": 11676 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.524, "step": 11677 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.7255, "step": 11678 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.3647, "step": 11679 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.7513, "step": 11680 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.6337, "step": 11681 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 0.6395, "step": 11682 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.5742, "step": 11683 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.6957, "step": 11684 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.6114, "step": 11685 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.6866, "step": 11686 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.7015, "step": 11687 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.4454, "step": 11688 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.585, "step": 11689 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.6635, "step": 11690 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.7574, "step": 11691 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.7014, "step": 11692 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.6346, "step": 11693 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.5894, "step": 11694 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.4191, "step": 11695 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.6319, "step": 11696 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.5296, "step": 11697 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.8537, "step": 11698 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.6859, "step": 11699 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.6126, "step": 11700 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.6938, "step": 11701 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.5849, "step": 11702 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.7571, "step": 11703 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.5781, "step": 11704 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.5781, "step": 11705 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.6633, "step": 11706 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.5857, "step": 11707 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.6689, "step": 11708 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.5277, "step": 11709 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.7908, "step": 11710 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.4165, "step": 11711 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.704, "step": 11712 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.8536, "step": 11713 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.2594, "step": 11714 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.6366, "step": 11715 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.6831, "step": 11716 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.6, "step": 11717 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.7746, "step": 11718 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.7083, "step": 11719 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.5582, "step": 11720 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.7054, "step": 11721 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.6726, "step": 11722 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.5249, "step": 11723 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.5029, "step": 11724 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.7073, "step": 11725 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.7114, "step": 11726 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.6651, "step": 11727 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.6801, "step": 11728 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.6296, "step": 11729 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.522, "step": 11730 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.385, "step": 11731 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.5761, "step": 11732 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.5305, "step": 11733 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.5674, "step": 11734 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.8869, "step": 11735 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.4878, "step": 11736 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.4758, "step": 11737 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.5129, "step": 11738 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.6278, "step": 11739 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 0.6243, "step": 11740 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.8478, "step": 11741 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.6422, "step": 11742 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.5739, "step": 11743 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.408, "step": 11744 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.7394, "step": 11745 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.5813, "step": 11746 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.6551, "step": 11747 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.4828, "step": 11748 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.7545, "step": 11749 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.6075, "step": 11750 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.5376, "step": 11751 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.515, "step": 11752 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.4676, "step": 11753 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.8432, "step": 11754 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.4942, "step": 11755 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.5811, "step": 11756 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.525, "step": 11757 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.5964, "step": 11758 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.8573, "step": 11759 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.775, "step": 11760 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.5341, "step": 11761 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.6655, "step": 11762 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.689, "step": 11763 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.7338, "step": 11764 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.6234, "step": 11765 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.7976, "step": 11766 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.5512, "step": 11767 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.8298, "step": 11768 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.4788, "step": 11769 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.6501, "step": 11770 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.712, "step": 11771 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.5905, "step": 11772 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.501, "step": 11773 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.4642, "step": 11774 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.799, "step": 11775 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.5635, "step": 11776 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.6107, "step": 11777 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.7672, "step": 11778 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.7376, "step": 11779 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.5859, "step": 11780 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.7787, "step": 11781 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.6335, "step": 11782 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.7965, "step": 11783 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.3402, "step": 11784 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.8321, "step": 11785 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.8607, "step": 11786 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.5987, "step": 11787 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.4264, "step": 11788 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.423, "step": 11789 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.4726, "step": 11790 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.6613, "step": 11791 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.6874, "step": 11792 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.6204, "step": 11793 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.7537, "step": 11794 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.3796, "step": 11795 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.4916, "step": 11796 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.4403, "step": 11797 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 0.7235, "step": 11798 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.5034, "step": 11799 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.6764, "step": 11800 }, { "epoch": 2.05, "eval_loss": 0.9596195220947266, "eval_runtime": 110.3368, "eval_samples_per_second": 9.063, "eval_steps_per_second": 4.532, "step": 11800 }, { "epoch": 2.05, "mmlu_eval_accuracy": 0.48844892642524207, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.5, "mmlu_eval_accuracy_astronomy": 0.5625, "mmlu_eval_accuracy_business_ethics": 0.2727272727272727, "mmlu_eval_accuracy_clinical_knowledge": 0.5517241379310345, "mmlu_eval_accuracy_college_biology": 0.5, "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": 0.45454545454545453, "mmlu_eval_accuracy_college_physics": 0.45454545454545453, "mmlu_eval_accuracy_computer_security": 0.5454545454545454, "mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464, "mmlu_eval_accuracy_econometrics": 0.4166666666666667, "mmlu_eval_accuracy_electrical_engineering": 0.3125, "mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244, "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, "mmlu_eval_accuracy_global_facts": 0.5, "mmlu_eval_accuracy_high_school_biology": 0.5625, "mmlu_eval_accuracy_high_school_chemistry": 0.2727272727272727, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112, "mmlu_eval_accuracy_high_school_geography": 0.6818181818181818, "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, "mmlu_eval_accuracy_high_school_macroeconomics": 0.4418604651162791, "mmlu_eval_accuracy_high_school_mathematics": 0.10344827586206896, "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": 0.43478260869565216, "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, "mmlu_eval_accuracy_high_school_world_history": 0.6153846153846154, "mmlu_eval_accuracy_human_aging": 0.6086956521739131, "mmlu_eval_accuracy_human_sexuality": 0.3333333333333333, "mmlu_eval_accuracy_international_law": 0.7692307692307693, "mmlu_eval_accuracy_jurisprudence": 0.45454545454545453, "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, "mmlu_eval_accuracy_management": 0.5454545454545454, "mmlu_eval_accuracy_marketing": 0.68, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.6511627906976745, "mmlu_eval_accuracy_moral_disputes": 0.4473684210526316, "mmlu_eval_accuracy_moral_scenarios": 0.29, "mmlu_eval_accuracy_nutrition": 0.5151515151515151, "mmlu_eval_accuracy_philosophy": 0.6470588235294118, "mmlu_eval_accuracy_prehistory": 0.6285714285714286, "mmlu_eval_accuracy_professional_accounting": 0.3548387096774194, "mmlu_eval_accuracy_professional_law": 0.3588235294117647, "mmlu_eval_accuracy_professional_medicine": 0.5483870967741935, "mmlu_eval_accuracy_professional_psychology": 0.5797101449275363, "mmlu_eval_accuracy_public_relations": 0.4166666666666667, "mmlu_eval_accuracy_security_studies": 0.4444444444444444, "mmlu_eval_accuracy_sociology": 0.6363636363636364, "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, "mmlu_eval_accuracy_virology": 0.4444444444444444, "mmlu_eval_accuracy_world_religions": 0.631578947368421, "mmlu_loss": 1.137285477114603, "step": 11800 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.5932, "step": 11801 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.8462, "step": 11802 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.6629, "step": 11803 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.5154, "step": 11804 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.675, "step": 11805 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.5684, "step": 11806 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.7604, "step": 11807 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.5246, "step": 11808 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.5571, "step": 11809 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.5955, "step": 11810 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.6893, "step": 11811 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.7532, "step": 11812 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.6889, "step": 11813 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.7155, "step": 11814 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.575, "step": 11815 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.8287, "step": 11816 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.8763, "step": 11817 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.5593, "step": 11818 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.5731, "step": 11819 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.529, "step": 11820 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.8024, "step": 11821 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.6644, "step": 11822 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.6844, "step": 11823 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.5092, "step": 11824 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.5147, "step": 11825 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.6327, "step": 11826 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.6987, "step": 11827 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.4706, "step": 11828 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.7125, "step": 11829 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.5809, "step": 11830 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.5835, "step": 11831 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.5922, "step": 11832 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.6992, "step": 11833 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.6129, "step": 11834 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.5368, "step": 11835 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.2588, "step": 11836 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.9173, "step": 11837 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.6054, "step": 11838 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.3674, "step": 11839 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.6465, "step": 11840 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.5551, "step": 11841 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.662, "step": 11842 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.7133, "step": 11843 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.6721, "step": 11844 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.6024, "step": 11845 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.5939, "step": 11846 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.6547, "step": 11847 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.6776, "step": 11848 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.6343, "step": 11849 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.5279, "step": 11850 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.6227, "step": 11851 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.7073, "step": 11852 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.5174, "step": 11853 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.5971, "step": 11854 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 0.679, "step": 11855 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.8624, "step": 11856 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.5377, "step": 11857 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.7241, "step": 11858 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.9111, "step": 11859 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.5975, "step": 11860 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 1.05, "step": 11861 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.5417, "step": 11862 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.6381, "step": 11863 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.5396, "step": 11864 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.5492, "step": 11865 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.4315, "step": 11866 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.4983, "step": 11867 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.6192, "step": 11868 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.6406, "step": 11869 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.5915, "step": 11870 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.5877, "step": 11871 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.4494, "step": 11872 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.7334, "step": 11873 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.6357, "step": 11874 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.6247, "step": 11875 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.5778, "step": 11876 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.7103, "step": 11877 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.4869, "step": 11878 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.6027, "step": 11879 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.6948, "step": 11880 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.6763, "step": 11881 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.66, "step": 11882 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.5914, "step": 11883 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.8116, "step": 11884 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.4466, "step": 11885 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.6729, "step": 11886 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.4228, "step": 11887 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.52, "step": 11888 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.5379, "step": 11889 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.8818, "step": 11890 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.5522, "step": 11891 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.5494, "step": 11892 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.4048, "step": 11893 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.9137, "step": 11894 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.5535, "step": 11895 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.556, "step": 11896 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.7465, "step": 11897 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.4834, "step": 11898 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.5416, "step": 11899 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.6456, "step": 11900 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.5731, "step": 11901 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.7709, "step": 11902 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.8493, "step": 11903 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.9733, "step": 11904 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.848, "step": 11905 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.7032, "step": 11906 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.7037, "step": 11907 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.4823, "step": 11908 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.7205, "step": 11909 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.6026, "step": 11910 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.7923, "step": 11911 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.5759, "step": 11912 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 0.5547, "step": 11913 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.7945, "step": 11914 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.625, "step": 11915 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.8223, "step": 11916 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.5801, "step": 11917 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 1.0968, "step": 11918 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.6676, "step": 11919 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.9276, "step": 11920 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.7511, "step": 11921 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.776, "step": 11922 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.5642, "step": 11923 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.5817, "step": 11924 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.5514, "step": 11925 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.709, "step": 11926 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.4645, "step": 11927 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.435, "step": 11928 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.3702, "step": 11929 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.7016, "step": 11930 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.773, "step": 11931 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.49, "step": 11932 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.5958, "step": 11933 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.7728, "step": 11934 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.5405, "step": 11935 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.5193, "step": 11936 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.6705, "step": 11937 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.6662, "step": 11938 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.6634, "step": 11939 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.6, "step": 11940 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.7478, "step": 11941 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.7433, "step": 11942 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 1.092, "step": 11943 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.747, "step": 11944 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.5034, "step": 11945 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.6041, "step": 11946 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.8146, "step": 11947 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.6214, "step": 11948 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.5836, "step": 11949 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.6797, "step": 11950 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.5123, "step": 11951 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.6451, "step": 11952 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.6079, "step": 11953 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.5445, "step": 11954 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.5913, "step": 11955 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.7237, "step": 11956 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.2508, "step": 11957 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.7954, "step": 11958 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.4204, "step": 11959 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.4717, "step": 11960 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.5455, "step": 11961 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.6676, "step": 11962 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.6699, "step": 11963 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.6733, "step": 11964 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.6613, "step": 11965 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.9251, "step": 11966 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.6048, "step": 11967 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.8377, "step": 11968 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.4234, "step": 11969 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.6923, "step": 11970 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 0.4686, "step": 11971 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.6663, "step": 11972 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.4134, "step": 11973 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.5479, "step": 11974 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.8299, "step": 11975 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.5757, "step": 11976 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.5816, "step": 11977 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.471, "step": 11978 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.6136, "step": 11979 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.7892, "step": 11980 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.4963, "step": 11981 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.7863, "step": 11982 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.6755, "step": 11983 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.4206, "step": 11984 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.5838, "step": 11985 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.4669, "step": 11986 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.4932, "step": 11987 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.4634, "step": 11988 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.648, "step": 11989 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.6249, "step": 11990 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.6381, "step": 11991 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.5963, "step": 11992 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.7068, "step": 11993 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.5906, "step": 11994 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.4971, "step": 11995 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.6625, "step": 11996 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.8221, "step": 11997 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.5216, "step": 11998 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.6684, "step": 11999 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.5998, "step": 12000 }, { "epoch": 2.08, "eval_loss": 0.9523141980171204, "eval_runtime": 110.4107, "eval_samples_per_second": 9.057, "eval_steps_per_second": 4.529, "step": 12000 }, { "epoch": 2.08, "mmlu_eval_accuracy": 0.4815859863422668, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.5, "mmlu_eval_accuracy_astronomy": 0.5, "mmlu_eval_accuracy_business_ethics": 0.45454545454545453, "mmlu_eval_accuracy_clinical_knowledge": 0.5172413793103449, "mmlu_eval_accuracy_college_biology": 0.5, "mmlu_eval_accuracy_college_chemistry": 0.125, "mmlu_eval_accuracy_college_computer_science": 0.2727272727272727, "mmlu_eval_accuracy_college_mathematics": 0.09090909090909091, "mmlu_eval_accuracy_college_medicine": 0.4090909090909091, "mmlu_eval_accuracy_college_physics": 0.5454545454545454, "mmlu_eval_accuracy_computer_security": 0.5454545454545454, "mmlu_eval_accuracy_conceptual_physics": 0.5384615384615384, "mmlu_eval_accuracy_econometrics": 0.25, "mmlu_eval_accuracy_electrical_engineering": 0.3125, "mmlu_eval_accuracy_elementary_mathematics": 0.4146341463414634, "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, "mmlu_eval_accuracy_global_facts": 0.4, "mmlu_eval_accuracy_high_school_biology": 0.5625, "mmlu_eval_accuracy_high_school_chemistry": 0.2727272727272727, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112, "mmlu_eval_accuracy_high_school_geography": 0.6818181818181818, "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, "mmlu_eval_accuracy_high_school_macroeconomics": 0.5348837209302325, "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": 0.85, "mmlu_eval_accuracy_high_school_statistics": 0.4782608695652174, "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, "mmlu_eval_accuracy_high_school_world_history": 0.5769230769230769, "mmlu_eval_accuracy_human_aging": 0.5652173913043478, "mmlu_eval_accuracy_human_sexuality": 0.25, "mmlu_eval_accuracy_international_law": 0.8461538461538461, "mmlu_eval_accuracy_jurisprudence": 0.5454545454545454, "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, "mmlu_eval_accuracy_machine_learning": 0.36363636363636365, "mmlu_eval_accuracy_management": 0.8181818181818182, "mmlu_eval_accuracy_marketing": 0.64, "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, "mmlu_eval_accuracy_miscellaneous": 0.6976744186046512, "mmlu_eval_accuracy_moral_disputes": 0.4473684210526316, "mmlu_eval_accuracy_moral_scenarios": 0.23, "mmlu_eval_accuracy_nutrition": 0.5454545454545454, "mmlu_eval_accuracy_philosophy": 0.6176470588235294, "mmlu_eval_accuracy_prehistory": 0.7142857142857143, "mmlu_eval_accuracy_professional_accounting": 0.2903225806451613, "mmlu_eval_accuracy_professional_law": 0.37058823529411766, "mmlu_eval_accuracy_professional_medicine": 0.41935483870967744, "mmlu_eval_accuracy_professional_psychology": 0.5217391304347826, "mmlu_eval_accuracy_public_relations": 0.4166666666666667, "mmlu_eval_accuracy_security_studies": 0.4074074074074074, "mmlu_eval_accuracy_sociology": 0.5909090909090909, "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, "mmlu_eval_accuracy_virology": 0.4444444444444444, "mmlu_eval_accuracy_world_religions": 0.5263157894736842, "mmlu_loss": 0.9592385100730872, "step": 12000 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.4578, "step": 12001 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.7288, "step": 12002 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.6189, "step": 12003 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.5632, "step": 12004 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.5364, "step": 12005 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.659, "step": 12006 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.358, "step": 12007 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.7788, "step": 12008 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.6248, "step": 12009 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.7317, "step": 12010 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.4965, "step": 12011 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.646, "step": 12012 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.9438, "step": 12013 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.8976, "step": 12014 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.7365, "step": 12015 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.6435, "step": 12016 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.8121, "step": 12017 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.4385, "step": 12018 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.4481, "step": 12019 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.6258, "step": 12020 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.6975, "step": 12021 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.6065, "step": 12022 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.5093, "step": 12023 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.5085, "step": 12024 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.6413, "step": 12025 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.5581, "step": 12026 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.6813, "step": 12027 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 0.7239, "step": 12028 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.4773, "step": 12029 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.6745, "step": 12030 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.6877, "step": 12031 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.6102, "step": 12032 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.9826, "step": 12033 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.7387, "step": 12034 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.8751, "step": 12035 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.7103, "step": 12036 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.5901, "step": 12037 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.6016, "step": 12038 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.5338, "step": 12039 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.6305, "step": 12040 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.7941, "step": 12041 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.6731, "step": 12042 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.8441, "step": 12043 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.6641, "step": 12044 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.8165, "step": 12045 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.6995, "step": 12046 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.6573, "step": 12047 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.5614, "step": 12048 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.5394, "step": 12049 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.6466, "step": 12050 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.5618, "step": 12051 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.753, "step": 12052 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.4876, "step": 12053 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.5331, "step": 12054 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.5795, "step": 12055 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.5295, "step": 12056 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.8727, "step": 12057 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.82, "step": 12058 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.7462, "step": 12059 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.6475, "step": 12060 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.76, "step": 12061 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.5774, "step": 12062 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.6305, "step": 12063 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.5908, "step": 12064 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.592, "step": 12065 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.5915, "step": 12066 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.5596, "step": 12067 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.8034, "step": 12068 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.4303, "step": 12069 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.5139, "step": 12070 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.6358, "step": 12071 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.6858, "step": 12072 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.4306, "step": 12073 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.5415, "step": 12074 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 1.0113, "step": 12075 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.5089, "step": 12076 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.6511, "step": 12077 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.6628, "step": 12078 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.6598, "step": 12079 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.6215, "step": 12080 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.574, "step": 12081 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.6513, "step": 12082 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.7783, "step": 12083 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.4328, "step": 12084 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.6691, "step": 12085 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 0.6446, "step": 12086 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.5573, "step": 12087 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.7171, "step": 12088 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.9465, "step": 12089 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.5159, "step": 12090 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.7108, "step": 12091 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.452, "step": 12092 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.6203, "step": 12093 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.7097, "step": 12094 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.5044, "step": 12095 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.5509, "step": 12096 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.6385, "step": 12097 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.6175, "step": 12098 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.7769, "step": 12099 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.3182, "step": 12100 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.4495, "step": 12101 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.657, "step": 12102 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.7638, "step": 12103 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.6658, "step": 12104 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.6419, "step": 12105 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.6709, "step": 12106 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.6603, "step": 12107 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.6355, "step": 12108 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.5447, "step": 12109 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.7041, "step": 12110 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.4228, "step": 12111 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.7558, "step": 12112 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.689, "step": 12113 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.4496, "step": 12114 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.5461, "step": 12115 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.6498, "step": 12116 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.597, "step": 12117 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.9162, "step": 12118 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.7205, "step": 12119 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.9505, "step": 12120 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.9801, "step": 12121 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.7038, "step": 12122 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.5118, "step": 12123 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.7081, "step": 12124 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.6766, "step": 12125 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.7184, "step": 12126 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.4626, "step": 12127 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.6875, "step": 12128 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.7182, "step": 12129 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.6515, "step": 12130 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.5993, "step": 12131 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.7306, "step": 12132 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.5797, "step": 12133 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.8263, "step": 12134 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.4817, "step": 12135 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.558, "step": 12136 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.889, "step": 12137 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.5596, "step": 12138 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.5412, "step": 12139 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.5338, "step": 12140 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.6027, "step": 12141 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.5973, "step": 12142 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.7035, "step": 12143 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 0.8215, "step": 12144 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.6442, "step": 12145 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.5624, "step": 12146 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.744, "step": 12147 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.6169, "step": 12148 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.7154, "step": 12149 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.5612, "step": 12150 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.3093, "step": 12151 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.4795, "step": 12152 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.7561, "step": 12153 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.4165, "step": 12154 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.7483, "step": 12155 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.579, "step": 12156 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.6952, "step": 12157 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.6166, "step": 12158 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.553, "step": 12159 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.8047, "step": 12160 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.9042, "step": 12161 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.6894, "step": 12162 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.6214, "step": 12163 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.5977, "step": 12164 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.5797, "step": 12165 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.598, "step": 12166 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.6114, "step": 12167 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.6544, "step": 12168 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.6959, "step": 12169 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.6137, "step": 12170 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.8188, "step": 12171 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.7165, "step": 12172 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.6533, "step": 12173 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.7134, "step": 12174 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.468, "step": 12175 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.7616, "step": 12176 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.7473, "step": 12177 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.5861, "step": 12178 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.5535, "step": 12179 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.3895, "step": 12180 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.5979, "step": 12181 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.5439, "step": 12182 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.5431, "step": 12183 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.4914, "step": 12184 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.9167, "step": 12185 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.4735, "step": 12186 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.4558, "step": 12187 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.8571, "step": 12188 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.5547, "step": 12189 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.7186, "step": 12190 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.5746, "step": 12191 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.7266, "step": 12192 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.5244, "step": 12193 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.6201, "step": 12194 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.5262, "step": 12195 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.2814, "step": 12196 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.5834, "step": 12197 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.7764, "step": 12198 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.7815, "step": 12199 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.7517, "step": 12200 }, { "epoch": 2.11, "eval_loss": 0.9602547883987427, "eval_runtime": 110.3034, "eval_samples_per_second": 9.066, "eval_steps_per_second": 4.533, "step": 12200 }, { "epoch": 2.11, "mmlu_eval_accuracy": 0.5093537553737251, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.5, "mmlu_eval_accuracy_astronomy": 0.625, "mmlu_eval_accuracy_business_ethics": 0.36363636363636365, "mmlu_eval_accuracy_clinical_knowledge": 0.5172413793103449, "mmlu_eval_accuracy_college_biology": 0.5, "mmlu_eval_accuracy_college_chemistry": 0.125, "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727, "mmlu_eval_accuracy_college_medicine": 0.45454545454545453, "mmlu_eval_accuracy_college_physics": 0.36363636363636365, "mmlu_eval_accuracy_computer_security": 0.45454545454545453, "mmlu_eval_accuracy_conceptual_physics": 0.34615384615384615, "mmlu_eval_accuracy_econometrics": 0.5, "mmlu_eval_accuracy_electrical_engineering": 0.3125, "mmlu_eval_accuracy_elementary_mathematics": 0.4146341463414634, "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, "mmlu_eval_accuracy_global_facts": 0.5, "mmlu_eval_accuracy_high_school_biology": 0.59375, "mmlu_eval_accuracy_high_school_chemistry": 0.22727272727272727, "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": 0.7619047619047619, "mmlu_eval_accuracy_high_school_macroeconomics": 0.5116279069767442, "mmlu_eval_accuracy_high_school_mathematics": 0.13793103448275862, "mmlu_eval_accuracy_high_school_microeconomics": 0.6153846153846154, "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, "mmlu_eval_accuracy_high_school_psychology": 0.8166666666666667, "mmlu_eval_accuracy_high_school_statistics": 0.5217391304347826, "mmlu_eval_accuracy_high_school_us_history": 0.8181818181818182, "mmlu_eval_accuracy_high_school_world_history": 0.6153846153846154, "mmlu_eval_accuracy_human_aging": 0.6086956521739131, "mmlu_eval_accuracy_human_sexuality": 0.3333333333333333, "mmlu_eval_accuracy_international_law": 0.8461538461538461, "mmlu_eval_accuracy_jurisprudence": 0.5454545454545454, "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, "mmlu_eval_accuracy_management": 0.6363636363636364, "mmlu_eval_accuracy_marketing": 0.68, "mmlu_eval_accuracy_medical_genetics": 0.8181818181818182, "mmlu_eval_accuracy_miscellaneous": 0.6744186046511628, "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, "mmlu_eval_accuracy_moral_scenarios": 0.29, "mmlu_eval_accuracy_nutrition": 0.5757575757575758, "mmlu_eval_accuracy_philosophy": 0.5294117647058824, "mmlu_eval_accuracy_prehistory": 0.6, "mmlu_eval_accuracy_professional_accounting": 0.3548387096774194, "mmlu_eval_accuracy_professional_law": 0.36470588235294116, "mmlu_eval_accuracy_professional_medicine": 0.5483870967741935, "mmlu_eval_accuracy_professional_psychology": 0.5072463768115942, "mmlu_eval_accuracy_public_relations": 0.5, "mmlu_eval_accuracy_security_studies": 0.3333333333333333, "mmlu_eval_accuracy_sociology": 0.6818181818181818, "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, "mmlu_eval_accuracy_virology": 0.5, "mmlu_eval_accuracy_world_religions": 0.5789473684210527, "mmlu_loss": 0.952264658041668, "step": 12200 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 0.8113, "step": 12201 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.7161, "step": 12202 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.7342, "step": 12203 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.4387, "step": 12204 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.8568, "step": 12205 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.8782, "step": 12206 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.629, "step": 12207 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.6661, "step": 12208 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.4312, "step": 12209 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.7473, "step": 12210 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.5656, "step": 12211 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.5941, "step": 12212 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.4735, "step": 12213 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.5459, "step": 12214 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.6005, "step": 12215 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.6857, "step": 12216 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.5883, "step": 12217 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.6519, "step": 12218 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.7198, "step": 12219 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.5278, "step": 12220 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.52, "step": 12221 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.549, "step": 12222 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.5553, "step": 12223 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.6545, "step": 12224 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.7403, "step": 12225 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.7219, "step": 12226 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.5354, "step": 12227 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.7568, "step": 12228 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.9221, "step": 12229 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.7206, "step": 12230 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.7753, "step": 12231 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.8263, "step": 12232 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.4852, "step": 12233 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.5228, "step": 12234 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.739, "step": 12235 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.7486, "step": 12236 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.5279, "step": 12237 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.5319, "step": 12238 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.6829, "step": 12239 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.5558, "step": 12240 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.4484, "step": 12241 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.6782, "step": 12242 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.6202, "step": 12243 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.9198, "step": 12244 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.6507, "step": 12245 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.4805, "step": 12246 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.8514, "step": 12247 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.7142, "step": 12248 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.6923, "step": 12249 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.6271, "step": 12250 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.8237, "step": 12251 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.7183, "step": 12252 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.6644, "step": 12253 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.784, "step": 12254 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.8079, "step": 12255 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.6176, "step": 12256 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.7667, "step": 12257 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.5224, "step": 12258 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 0.677, "step": 12259 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.3462, "step": 12260 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.5938, "step": 12261 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.5864, "step": 12262 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.4489, "step": 12263 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.8714, "step": 12264 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.8219, "step": 12265 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.7401, "step": 12266 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.6871, "step": 12267 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.7521, "step": 12268 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.6181, "step": 12269 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.6334, "step": 12270 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.9244, "step": 12271 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.8269, "step": 12272 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.9309, "step": 12273 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.6052, "step": 12274 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.8091, "step": 12275 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.6084, "step": 12276 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.9614, "step": 12277 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.5036, "step": 12278 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.7066, "step": 12279 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.839, "step": 12280 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.5246, "step": 12281 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.7022, "step": 12282 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.611, "step": 12283 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.7535, "step": 12284 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.8089, "step": 12285 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.6264, "step": 12286 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.5123, "step": 12287 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.4968, "step": 12288 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.597, "step": 12289 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.5991, "step": 12290 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.6244, "step": 12291 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.6308, "step": 12292 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.6393, "step": 12293 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.5653, "step": 12294 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 1.014, "step": 12295 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.5295, "step": 12296 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.5011, "step": 12297 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.4648, "step": 12298 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.5999, "step": 12299 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.548, "step": 12300 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.5297, "step": 12301 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.8343, "step": 12302 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.5624, "step": 12303 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.7211, "step": 12304 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.6452, "step": 12305 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.5711, "step": 12306 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.6799, "step": 12307 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.515, "step": 12308 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.3453, "step": 12309 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.5325, "step": 12310 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.7736, "step": 12311 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.419, "step": 12312 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.6744, "step": 12313 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.5161, "step": 12314 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.427, "step": 12315 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.5711, "step": 12316 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 0.5999, "step": 12317 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.7421, "step": 12318 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.5557, "step": 12319 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.5784, "step": 12320 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.8134, "step": 12321 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.6823, "step": 12322 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.6214, "step": 12323 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.608, "step": 12324 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.5573, "step": 12325 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.7015, "step": 12326 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.389, "step": 12327 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.5145, "step": 12328 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.6684, "step": 12329 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.5539, "step": 12330 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.8801, "step": 12331 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.5489, "step": 12332 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.7983, "step": 12333 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.8431, "step": 12334 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.8256, "step": 12335 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.7072, "step": 12336 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.8397, "step": 12337 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.6607, "step": 12338 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.6881, "step": 12339 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.5624, "step": 12340 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.4594, "step": 12341 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.6029, "step": 12342 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.6575, "step": 12343 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.5523, "step": 12344 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.7911, "step": 12345 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.6845, "step": 12346 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.8077, "step": 12347 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.8409, "step": 12348 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.5606, "step": 12349 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.516, "step": 12350 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.5193, "step": 12351 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.731, "step": 12352 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.4656, "step": 12353 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.9754, "step": 12354 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.8124, "step": 12355 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.537, "step": 12356 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.754, "step": 12357 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.5652, "step": 12358 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.5159, "step": 12359 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.6896, "step": 12360 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.6597, "step": 12361 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.5288, "step": 12362 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.5131, "step": 12363 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.5416, "step": 12364 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.4071, "step": 12365 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.5198, "step": 12366 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.8569, "step": 12367 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.3963, "step": 12368 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.6744, "step": 12369 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.68, "step": 12370 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.4863, "step": 12371 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.603, "step": 12372 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.7027, "step": 12373 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.7576, "step": 12374 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 0.5075, "step": 12375 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.6391, "step": 12376 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.4685, "step": 12377 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.4054, "step": 12378 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.8345, "step": 12379 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.7471, "step": 12380 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.5953, "step": 12381 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.5663, "step": 12382 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.8946, "step": 12383 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.5963, "step": 12384 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.6507, "step": 12385 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.6835, "step": 12386 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.7859, "step": 12387 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.7397, "step": 12388 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.4451, "step": 12389 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.5042, "step": 12390 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.7842, "step": 12391 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.6312, "step": 12392 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.5975, "step": 12393 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.5592, "step": 12394 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.6475, "step": 12395 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.6302, "step": 12396 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.6076, "step": 12397 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.8115, "step": 12398 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.8502, "step": 12399 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.581, "step": 12400 }, { "epoch": 2.15, "eval_loss": 0.9545976519584656, "eval_runtime": 110.3314, "eval_samples_per_second": 9.064, "eval_steps_per_second": 4.532, "step": 12400 }, { "epoch": 2.15, "mmlu_eval_accuracy": 0.5186066591151584, "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, "mmlu_eval_accuracy_anatomy": 0.5, "mmlu_eval_accuracy_astronomy": 0.5625, "mmlu_eval_accuracy_business_ethics": 0.45454545454545453, "mmlu_eval_accuracy_clinical_knowledge": 0.41379310344827586, "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": 0.09090909090909091, "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": 0.5769230769230769, "mmlu_eval_accuracy_econometrics": 0.16666666666666666, "mmlu_eval_accuracy_electrical_engineering": 0.25, "mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536, "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, "mmlu_eval_accuracy_global_facts": 0.4, "mmlu_eval_accuracy_high_school_biology": 0.5625, "mmlu_eval_accuracy_high_school_chemistry": 0.22727272727272727, "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, "mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, "mmlu_eval_accuracy_high_school_macroeconomics": 0.46511627906976744, "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, "mmlu_eval_accuracy_high_school_microeconomics": 0.7307692307692307, "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, "mmlu_eval_accuracy_high_school_psychology": 0.9, "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": 0.6086956521739131, "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": 0.45454545454545453, "mmlu_eval_accuracy_management": 0.6363636363636364, "mmlu_eval_accuracy_marketing": 0.8, "mmlu_eval_accuracy_medical_genetics": 0.8181818181818182, "mmlu_eval_accuracy_miscellaneous": 0.686046511627907, "mmlu_eval_accuracy_moral_disputes": 0.4473684210526316, "mmlu_eval_accuracy_moral_scenarios": 0.3, "mmlu_eval_accuracy_nutrition": 0.5757575757575758, "mmlu_eval_accuracy_philosophy": 0.6470588235294118, "mmlu_eval_accuracy_prehistory": 0.6571428571428571, "mmlu_eval_accuracy_professional_accounting": 0.3225806451612903, "mmlu_eval_accuracy_professional_law": 0.3588235294117647, "mmlu_eval_accuracy_professional_medicine": 0.5806451612903226, "mmlu_eval_accuracy_professional_psychology": 0.6086956521739131, "mmlu_eval_accuracy_public_relations": 0.5833333333333334, "mmlu_eval_accuracy_security_studies": 0.4074074074074074, "mmlu_eval_accuracy_sociology": 0.5454545454545454, "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, "mmlu_eval_accuracy_virology": 0.4444444444444444, "mmlu_eval_accuracy_world_religions": 0.631578947368421, "mmlu_loss": 0.9500944718387824, "step": 12400 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.6903, "step": 12401 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.5465, "step": 12402 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.554, "step": 12403 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.7717, "step": 12404 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.8722, "step": 12405 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.4306, "step": 12406 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.7114, "step": 12407 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.6386, "step": 12408 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.6135, "step": 12409 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.5363, "step": 12410 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.8087, "step": 12411 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.5599, "step": 12412 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.762, "step": 12413 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.5233, "step": 12414 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.671, "step": 12415 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.4831, "step": 12416 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.5338, "step": 12417 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.9169, "step": 12418 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.5098, "step": 12419 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.4691, "step": 12420 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.5285, "step": 12421 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.7097, "step": 12422 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.4081, "step": 12423 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.6009, "step": 12424 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.8299, "step": 12425 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.8685, "step": 12426 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.8052, "step": 12427 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.6008, "step": 12428 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.8309, "step": 12429 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.5673, "step": 12430 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.7257, "step": 12431 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 0.737, "step": 12432 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.5762, "step": 12433 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.6182, "step": 12434 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.5616, "step": 12435 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.6277, "step": 12436 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.6219, "step": 12437 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.7616, "step": 12438 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.9114, "step": 12439 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.7523, "step": 12440 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.5634, "step": 12441 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.6831, "step": 12442 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.5346, "step": 12443 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.6008, "step": 12444 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.5865, "step": 12445 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.6082, "step": 12446 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.8097, "step": 12447 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.6733, "step": 12448 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.5669, "step": 12449 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.4065, "step": 12450 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.6513, "step": 12451 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.6303, "step": 12452 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.7004, "step": 12453 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.5539, "step": 12454 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.6346, "step": 12455 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.8874, "step": 12456 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.695, "step": 12457 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 1.0276, "step": 12458 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.5834, "step": 12459 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.5207, "step": 12460 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.3726, "step": 12461 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.6875, "step": 12462 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.4583, "step": 12463 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.5446, "step": 12464 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.5816, "step": 12465 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.5561, "step": 12466 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.5224, "step": 12467 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.5359, "step": 12468 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.5504, "step": 12469 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.6274, "step": 12470 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.7939, "step": 12471 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.9469, "step": 12472 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.672, "step": 12473 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.319, "step": 12474 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.5435, "step": 12475 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.8751, "step": 12476 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.8797, "step": 12477 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.4979, "step": 12478 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.6813, "step": 12479 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.8445, "step": 12480 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.7621, "step": 12481 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.5767, "step": 12482 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.6036, "step": 12483 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.5178, "step": 12484 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.6651, "step": 12485 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.4396, "step": 12486 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.6588, "step": 12487 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.6743, "step": 12488 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.8369, "step": 12489 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 0.5402, "step": 12490 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.7377, "step": 12491 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.7694, "step": 12492 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.7247, "step": 12493 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.7352, "step": 12494 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.7275, "step": 12495 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.8425, "step": 12496 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.6357, "step": 12497 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.4617, "step": 12498 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.4884, "step": 12499 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.6024, "step": 12500 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.4665, "step": 12501 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.7311, "step": 12502 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.5531, "step": 12503 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.7292, "step": 12504 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.5375, "step": 12505 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.5815, "step": 12506 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.7993, "step": 12507 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.4408, "step": 12508 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.5555, "step": 12509 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.3332, "step": 12510 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.6458, "step": 12511 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.7218, "step": 12512 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.6406, "step": 12513 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.7662, "step": 12514 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.7657, "step": 12515 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.6017, "step": 12516 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.5597, "step": 12517 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 1.0806, "step": 12518 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.7647, "step": 12519 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.8193, "step": 12520 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.4353, "step": 12521 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.6758, "step": 12522 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.6758, "step": 12523 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.6121, "step": 12524 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.6414, "step": 12525 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.6507, "step": 12526 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.4548, "step": 12527 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.4931, "step": 12528 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.5378, "step": 12529 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.9311, "step": 12530 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.5778, "step": 12531 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.78, "step": 12532 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.4503, "step": 12533 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.5827, "step": 12534 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.7193, "step": 12535 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.6153, "step": 12536 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.4996, "step": 12537 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.7463, "step": 12538 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.6399, "step": 12539 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.6029, "step": 12540 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.5807, "step": 12541 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.8591, "step": 12542 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.6163, "step": 12543 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.5735, "step": 12544 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.5211, "step": 12545 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.9445, "step": 12546 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.5532, "step": 12547 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 0.5289, "step": 12548 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.4465, "step": 12549 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.7685, "step": 12550 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.5812, "step": 12551 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.5023, "step": 12552 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.4247, "step": 12553 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.7203, "step": 12554 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.6585, "step": 12555 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.7363, "step": 12556 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.8182, "step": 12557 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.7316, "step": 12558 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.7038, "step": 12559 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.8986, "step": 12560 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.7306, "step": 12561 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.5308, "step": 12562 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.8472, "step": 12563 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.646, "step": 12564 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.7377, "step": 12565 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.7243, "step": 12566 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.6551, "step": 12567 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 1.0091, "step": 12568 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.8737, "step": 12569 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.6374, "step": 12570 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.7495, "step": 12571 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 1.0117, "step": 12572 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.6407, "step": 12573 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.6928, "step": 12574 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.6242, "step": 12575 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.5016, "step": 12576 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.4984, "step": 12577 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.6278, "step": 12578 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.7363, "step": 12579 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.6624, "step": 12580 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.3045, "step": 12581 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.6864, "step": 12582 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.7557, "step": 12583 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 1.0154, "step": 12584 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.4634, "step": 12585 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.7357, "step": 12586 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.8534, "step": 12587 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.844, "step": 12588 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.6639, "step": 12589 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.568, "step": 12590 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.6325, "step": 12591 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.617, "step": 12592 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.5554, "step": 12593 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.4691, "step": 12594 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.7343, "step": 12595 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.6459, "step": 12596 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.6693, "step": 12597 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.6973, "step": 12598 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.6037, "step": 12599 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.619, "step": 12600 }, { "epoch": 2.18, "eval_loss": 0.9592915177345276, "eval_runtime": 110.3401, "eval_samples_per_second": 9.063, "eval_steps_per_second": 4.531, "step": 12600 }, { "epoch": 2.18, "mmlu_eval_accuracy": 0.5154640122132975, "mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182, "mmlu_eval_accuracy_anatomy": 0.5, "mmlu_eval_accuracy_astronomy": 0.5625, "mmlu_eval_accuracy_business_ethics": 0.36363636363636365, "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, "mmlu_eval_accuracy_college_biology": 0.5, "mmlu_eval_accuracy_college_chemistry": 0.25, "mmlu_eval_accuracy_college_computer_science": 0.2727272727272727, "mmlu_eval_accuracy_college_mathematics": 0.09090909090909091, "mmlu_eval_accuracy_college_medicine": 0.5, "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": 0.25, "mmlu_eval_accuracy_electrical_engineering": 0.4375, "mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637, "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, "mmlu_eval_accuracy_global_facts": 0.4, "mmlu_eval_accuracy_high_school_biology": 0.53125, "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "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": 0.8095238095238095, "mmlu_eval_accuracy_high_school_macroeconomics": 0.46511627906976744, "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, "mmlu_eval_accuracy_high_school_microeconomics": 0.6538461538461539, "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, "mmlu_eval_accuracy_high_school_psychology": 0.85, "mmlu_eval_accuracy_high_school_statistics": 0.43478260869565216, "mmlu_eval_accuracy_high_school_us_history": 0.8181818181818182, "mmlu_eval_accuracy_high_school_world_history": 0.6153846153846154, "mmlu_eval_accuracy_human_aging": 0.5652173913043478, "mmlu_eval_accuracy_human_sexuality": 0.3333333333333333, "mmlu_eval_accuracy_international_law": 0.8461538461538461, "mmlu_eval_accuracy_jurisprudence": 0.7272727272727273, "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, "mmlu_eval_accuracy_management": 0.8181818181818182, "mmlu_eval_accuracy_marketing": 0.8, "mmlu_eval_accuracy_medical_genetics": 0.8181818181818182, "mmlu_eval_accuracy_miscellaneous": 0.7093023255813954, "mmlu_eval_accuracy_moral_disputes": 0.47368421052631576, "mmlu_eval_accuracy_moral_scenarios": 0.32, "mmlu_eval_accuracy_nutrition": 0.6363636363636364, "mmlu_eval_accuracy_philosophy": 0.6176470588235294, "mmlu_eval_accuracy_prehistory": 0.6285714285714286, "mmlu_eval_accuracy_professional_accounting": 0.3870967741935484, "mmlu_eval_accuracy_professional_law": 0.37058823529411766, "mmlu_eval_accuracy_professional_medicine": 0.5161290322580645, "mmlu_eval_accuracy_professional_psychology": 0.6231884057971014, "mmlu_eval_accuracy_public_relations": 0.5, "mmlu_eval_accuracy_security_studies": 0.48148148148148145, "mmlu_eval_accuracy_sociology": 0.6363636363636364, "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, "mmlu_eval_accuracy_virology": 0.5555555555555556, "mmlu_eval_accuracy_world_religions": 0.5789473684210527, "mmlu_loss": 1.1081334198423838, "step": 12600 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.6156, "step": 12601 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.6677, "step": 12602 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.741, "step": 12603 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.7973, "step": 12604 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 0.6153, "step": 12605 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.7914, "step": 12606 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.695, "step": 12607 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.5219, "step": 12608 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.7381, "step": 12609 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.6075, "step": 12610 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.53, "step": 12611 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.8282, "step": 12612 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.7941, "step": 12613 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.6569, "step": 12614 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.6602, "step": 12615 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.7574, "step": 12616 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.6317, "step": 12617 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.7828, "step": 12618 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.6036, "step": 12619 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.8255, "step": 12620 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.8453, "step": 12621 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.5566, "step": 12622 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.5226, "step": 12623 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.7017, "step": 12624 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.5697, "step": 12625 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.567, "step": 12626 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.6277, "step": 12627 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.6657, "step": 12628 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.6802, "step": 12629 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.3524, "step": 12630 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.6925, "step": 12631 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.7232, "step": 12632 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.4278, "step": 12633 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.8118, "step": 12634 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.5963, "step": 12635 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.5148, "step": 12636 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.5882, "step": 12637 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.7588, "step": 12638 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.8007, "step": 12639 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.7622, "step": 12640 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.3361, "step": 12641 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.6926, "step": 12642 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.6992, "step": 12643 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.516, "step": 12644 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.3855, "step": 12645 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.7041, "step": 12646 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.7684, "step": 12647 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.8718, "step": 12648 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.5632, "step": 12649 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.7408, "step": 12650 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.9006, "step": 12651 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.5994, "step": 12652 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.537, "step": 12653 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.7896, "step": 12654 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.7203, "step": 12655 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.4572, "step": 12656 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.7918, "step": 12657 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.5909, "step": 12658 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.4778, "step": 12659 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.4987, "step": 12660 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.7033, "step": 12661 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.7862, "step": 12662 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 0.5554, "step": 12663 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.5746, "step": 12664 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.8044, "step": 12665 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.4676, "step": 12666 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.6677, "step": 12667 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.5281, "step": 12668 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.6972, "step": 12669 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.5816, "step": 12670 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.8983, "step": 12671 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.6121, "step": 12672 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.7606, "step": 12673 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.7876, "step": 12674 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.9396, "step": 12675 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.764, "step": 12676 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.6968, "step": 12677 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.7412, "step": 12678 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.6485, "step": 12679 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.7403, "step": 12680 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.6869, "step": 12681 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.5582, "step": 12682 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.6996, "step": 12683 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.8745, "step": 12684 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.6547, "step": 12685 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.7359, "step": 12686 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.7522, "step": 12687 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.6084, "step": 12688 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.5226, "step": 12689 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.8307, "step": 12690 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.6985, "step": 12691 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.5954, "step": 12692 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.573, "step": 12693 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.5175, "step": 12694 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.591, "step": 12695 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.4678, "step": 12696 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.3554, "step": 12697 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.5853, "step": 12698 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.5273, "step": 12699 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.8367, "step": 12700 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.6727, "step": 12701 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.6769, "step": 12702 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.6357, "step": 12703 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.6023, "step": 12704 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.6362, "step": 12705 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.5399, "step": 12706 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.5262, "step": 12707 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.6811, "step": 12708 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.9379, "step": 12709 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.5307, "step": 12710 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.5476, "step": 12711 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.3619, "step": 12712 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.7423, "step": 12713 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.5793, "step": 12714 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.6309, "step": 12715 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.7055, "step": 12716 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.4942, "step": 12717 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.7268, "step": 12718 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.6943, "step": 12719 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.5382, "step": 12720 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 0.9665, "step": 12721 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.7897, "step": 12722 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.64, "step": 12723 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.4695, "step": 12724 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.5424, "step": 12725 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.5709, "step": 12726 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.6452, "step": 12727 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.5442, "step": 12728 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.7275, "step": 12729 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.7423, "step": 12730 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.6418, "step": 12731 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.694, "step": 12732 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.6472, "step": 12733 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.4634, "step": 12734 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.766, "step": 12735 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.5728, "step": 12736 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.7431, "step": 12737 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.7363, "step": 12738 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.6722, "step": 12739 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.579, "step": 12740 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.4914, "step": 12741 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.6979, "step": 12742 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.572, "step": 12743 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.8501, "step": 12744 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.7625, "step": 12745 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.7499, "step": 12746 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.5319, "step": 12747 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.5249, "step": 12748 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.5871, "step": 12749 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.6183, "step": 12750 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.6824, "step": 12751 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.5858, "step": 12752 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.6903, "step": 12753 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.5768, "step": 12754 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.8146, "step": 12755 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.8025, "step": 12756 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.7014, "step": 12757 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.8858, "step": 12758 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.6053, "step": 12759 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.7491, "step": 12760 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.6421, "step": 12761 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.8221, "step": 12762 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.702, "step": 12763 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.7204, "step": 12764 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.5334, "step": 12765 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.734, "step": 12766 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.5293, "step": 12767 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.6012, "step": 12768 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.5978, "step": 12769 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.6842, "step": 12770 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.6379, "step": 12771 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.4496, "step": 12772 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.6773, "step": 12773 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.8286, "step": 12774 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.7371, "step": 12775 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.4915, "step": 12776 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.5792, "step": 12777 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 0.733, "step": 12778 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.6175, "step": 12779 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.384, "step": 12780 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.7181, "step": 12781 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.5996, "step": 12782 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.656, "step": 12783 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.5725, "step": 12784 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.7094, "step": 12785 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.5958, "step": 12786 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.6212, "step": 12787 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.7112, "step": 12788 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 1.0379, "step": 12789 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.678, "step": 12790 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.7135, "step": 12791 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.7365, "step": 12792 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.5907, "step": 12793 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.6618, "step": 12794 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.8425, "step": 12795 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.6703, "step": 12796 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.4659, "step": 12797 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.8812, "step": 12798 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.7641, "step": 12799 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.6617, "step": 12800 }, { "epoch": 2.22, "eval_loss": 0.9462264180183411, "eval_runtime": 110.3942, "eval_samples_per_second": 9.058, "eval_steps_per_second": 4.529, "step": 12800 }, { "epoch": 2.22, "mmlu_eval_accuracy": 0.5298796269990672, "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, "mmlu_eval_accuracy_anatomy": 0.42857142857142855, "mmlu_eval_accuracy_astronomy": 0.6875, "mmlu_eval_accuracy_business_ethics": 0.36363636363636365, "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, "mmlu_eval_accuracy_college_biology": 0.5, "mmlu_eval_accuracy_college_chemistry": 0.375, "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365, "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727, "mmlu_eval_accuracy_college_medicine": 0.5, "mmlu_eval_accuracy_college_physics": 0.5454545454545454, "mmlu_eval_accuracy_computer_security": 0.45454545454545453, "mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231, "mmlu_eval_accuracy_econometrics": 0.25, "mmlu_eval_accuracy_electrical_engineering": 0.3125, "mmlu_eval_accuracy_elementary_mathematics": 0.24390243902439024, "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, "mmlu_eval_accuracy_global_facts": 0.6, "mmlu_eval_accuracy_high_school_biology": 0.5625, "mmlu_eval_accuracy_high_school_chemistry": 0.22727272727272727, "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": 0.8095238095238095, "mmlu_eval_accuracy_high_school_macroeconomics": 0.46511627906976744, "mmlu_eval_accuracy_high_school_mathematics": 0.3448275862068966, "mmlu_eval_accuracy_high_school_microeconomics": 0.5769230769230769, "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, "mmlu_eval_accuracy_high_school_psychology": 0.8833333333333333, "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, "mmlu_eval_accuracy_high_school_us_history": 0.8181818181818182, "mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539, "mmlu_eval_accuracy_human_aging": 0.6956521739130435, "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": 0.5555555555555556, "mmlu_eval_accuracy_machine_learning": 0.5454545454545454, "mmlu_eval_accuracy_management": 0.7272727272727273, "mmlu_eval_accuracy_marketing": 0.8, "mmlu_eval_accuracy_medical_genetics": 0.8181818181818182, "mmlu_eval_accuracy_miscellaneous": 0.7209302325581395, "mmlu_eval_accuracy_moral_disputes": 0.47368421052631576, "mmlu_eval_accuracy_moral_scenarios": 0.37, "mmlu_eval_accuracy_nutrition": 0.5454545454545454, "mmlu_eval_accuracy_philosophy": 0.6764705882352942, "mmlu_eval_accuracy_prehistory": 0.6571428571428571, "mmlu_eval_accuracy_professional_accounting": 0.3870967741935484, "mmlu_eval_accuracy_professional_law": 0.35294117647058826, "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": 0.4074074074074074, "mmlu_eval_accuracy_sociology": 0.6818181818181818, "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, "mmlu_eval_accuracy_virology": 0.5, "mmlu_eval_accuracy_world_religions": 0.631578947368421, "mmlu_loss": 1.0456371160793088, "step": 12800 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.8392, "step": 12801 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.8042, "step": 12802 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.5247, "step": 12803 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.908, "step": 12804 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.4923, "step": 12805 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.6939, "step": 12806 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.5803, "step": 12807 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.559, "step": 12808 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.7114, "step": 12809 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.3469, "step": 12810 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.6176, "step": 12811 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.5964, "step": 12812 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.3911, "step": 12813 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.6266, "step": 12814 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.666, "step": 12815 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.7193, "step": 12816 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.6328, "step": 12817 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.7428, "step": 12818 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.8259, "step": 12819 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.8153, "step": 12820 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 1.0648, "step": 12821 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.9103, "step": 12822 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.7885, "step": 12823 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.4464, "step": 12824 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.6456, "step": 12825 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.8012, "step": 12826 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.8619, "step": 12827 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.4882, "step": 12828 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.4827, "step": 12829 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.8165, "step": 12830 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.7559, "step": 12831 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.6783, "step": 12832 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.7991, "step": 12833 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.5675, "step": 12834 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.9563, "step": 12835 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 0.4454, "step": 12836 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.8531, "step": 12837 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.5913, "step": 12838 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.5251, "step": 12839 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.7234, "step": 12840 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.6524, "step": 12841 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.6899, "step": 12842 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 1.0499, "step": 12843 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.6106, "step": 12844 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.5382, "step": 12845 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.2907, "step": 12846 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.6615, "step": 12847 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.8304, "step": 12848 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.8065, "step": 12849 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.7533, "step": 12850 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.7531, "step": 12851 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.6869, "step": 12852 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.7121, "step": 12853 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.5691, "step": 12854 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.9371, "step": 12855 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.5569, "step": 12856 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.7529, "step": 12857 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.5807, "step": 12858 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.8145, "step": 12859 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.6049, "step": 12860 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 1.054, "step": 12861 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.6236, "step": 12862 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.9524, "step": 12863 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.7558, "step": 12864 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.6697, "step": 12865 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.6444, "step": 12866 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.5445, "step": 12867 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.5899, "step": 12868 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.528, "step": 12869 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.7444, "step": 12870 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.7445, "step": 12871 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.504, "step": 12872 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.7814, "step": 12873 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.6272, "step": 12874 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.6302, "step": 12875 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.3922, "step": 12876 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.7158, "step": 12877 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.4928, "step": 12878 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.431, "step": 12879 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.8793, "step": 12880 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.5856, "step": 12881 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.5928, "step": 12882 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.5897, "step": 12883 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.7995, "step": 12884 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.4398, "step": 12885 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.7948, "step": 12886 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.7639, "step": 12887 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.7601, "step": 12888 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.7711, "step": 12889 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.5047, "step": 12890 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.694, "step": 12891 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.5302, "step": 12892 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.7735, "step": 12893 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 0.8345, "step": 12894 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.6931, "step": 12895 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.8025, "step": 12896 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.5652, "step": 12897 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.8812, "step": 12898 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.7805, "step": 12899 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.7067, "step": 12900 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.6512, "step": 12901 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.8743, "step": 12902 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.7587, "step": 12903 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.5332, "step": 12904 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.4108, "step": 12905 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.7296, "step": 12906 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.7535, "step": 12907 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.706, "step": 12908 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.7055, "step": 12909 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.5108, "step": 12910 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.5994, "step": 12911 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.6139, "step": 12912 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.6757, "step": 12913 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.7109, "step": 12914 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.3718, "step": 12915 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.5863, "step": 12916 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.7034, "step": 12917 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.7051, "step": 12918 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.5646, "step": 12919 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.7836, "step": 12920 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.2857, "step": 12921 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.6526, "step": 12922 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.5935, "step": 12923 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.6049, "step": 12924 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.5309, "step": 12925 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.6617, "step": 12926 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.8277, "step": 12927 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.5675, "step": 12928 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.8752, "step": 12929 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.5427, "step": 12930 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.9699, "step": 12931 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.8118, "step": 12932 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.6341, "step": 12933 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.7909, "step": 12934 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.5267, "step": 12935 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.5182, "step": 12936 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.608, "step": 12937 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.7213, "step": 12938 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.797, "step": 12939 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.6204, "step": 12940 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.5262, "step": 12941 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.5738, "step": 12942 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.6115, "step": 12943 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.6972, "step": 12944 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.8171, "step": 12945 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.753, "step": 12946 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.5955, "step": 12947 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.7104, "step": 12948 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.5834, "step": 12949 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.5874, "step": 12950 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 0.3221, "step": 12951 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.6139, "step": 12952 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.7627, "step": 12953 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.5339, "step": 12954 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.5837, "step": 12955 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.6348, "step": 12956 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.7568, "step": 12957 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.5884, "step": 12958 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.7434, "step": 12959 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.5241, "step": 12960 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.6098, "step": 12961 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.6978, "step": 12962 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.5914, "step": 12963 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.8046, "step": 12964 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.6477, "step": 12965 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.5938, "step": 12966 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.4637, "step": 12967 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.576, "step": 12968 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.5931, "step": 12969 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.6273, "step": 12970 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.7888, "step": 12971 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.7051, "step": 12972 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.6215, "step": 12973 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.8548, "step": 12974 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.7293, "step": 12975 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.5185, "step": 12976 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.8379, "step": 12977 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.6931, "step": 12978 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.8229, "step": 12979 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.8719, "step": 12980 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.4204, "step": 12981 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.8048, "step": 12982 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.681, "step": 12983 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.7208, "step": 12984 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.6392, "step": 12985 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.7335, "step": 12986 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.4698, "step": 12987 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.6133, "step": 12988 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.65, "step": 12989 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.6663, "step": 12990 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.8038, "step": 12991 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.5238, "step": 12992 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.6704, "step": 12993 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.608, "step": 12994 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.8548, "step": 12995 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.5867, "step": 12996 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.8241, "step": 12997 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.5779, "step": 12998 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.4003, "step": 12999 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 0.5139, "step": 13000 }, { "epoch": 2.25, "eval_loss": 0.957503616809845, "eval_runtime": 110.4207, "eval_samples_per_second": 9.056, "eval_steps_per_second": 4.528, "step": 13000 }, { "epoch": 2.25, "mmlu_eval_accuracy": 0.5153429841141647, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.5, "mmlu_eval_accuracy_astronomy": 0.5625, "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, "mmlu_eval_accuracy_clinical_knowledge": 0.3793103448275862, "mmlu_eval_accuracy_college_biology": 0.5, "mmlu_eval_accuracy_college_chemistry": 0.25, "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365, "mmlu_eval_accuracy_college_mathematics": 0.09090909090909091, "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": 0.5, "mmlu_eval_accuracy_econometrics": 0.16666666666666666, "mmlu_eval_accuracy_electrical_engineering": 0.3125, "mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637, "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, "mmlu_eval_accuracy_global_facts": 0.4, "mmlu_eval_accuracy_high_school_biology": 0.59375, "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, "mmlu_eval_accuracy_high_school_computer_science": 0.4444444444444444, "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": 0.7619047619047619, "mmlu_eval_accuracy_high_school_macroeconomics": 0.46511627906976744, "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, "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": 0.43478260869565216, "mmlu_eval_accuracy_high_school_us_history": 0.8181818181818182, "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, "mmlu_eval_accuracy_human_aging": 0.6956521739130435, "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": 0.5555555555555556, "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, "mmlu_eval_accuracy_management": 0.7272727272727273, "mmlu_eval_accuracy_marketing": 0.84, "mmlu_eval_accuracy_medical_genetics": 0.8181818181818182, "mmlu_eval_accuracy_miscellaneous": 0.7209302325581395, "mmlu_eval_accuracy_moral_disputes": 0.47368421052631576, "mmlu_eval_accuracy_moral_scenarios": 0.3, "mmlu_eval_accuracy_nutrition": 0.5454545454545454, "mmlu_eval_accuracy_philosophy": 0.6764705882352942, "mmlu_eval_accuracy_prehistory": 0.6, "mmlu_eval_accuracy_professional_accounting": 0.3548387096774194, "mmlu_eval_accuracy_professional_law": 0.37058823529411766, "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": 0.37037037037037035, "mmlu_eval_accuracy_sociology": 0.7727272727272727, "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, "mmlu_eval_accuracy_virology": 0.5, "mmlu_eval_accuracy_world_religions": 0.6842105263157895, "mmlu_loss": 1.0311298704081198, "step": 13000 } ], "logging_steps": 1, "max_steps": 17307, "num_train_epochs": 3, "save_steps": 200, "total_flos": 1.9343618990157988e+18, "trial_name": null, "trial_params": null }