{ "best_metric": 0.6742715835571289, "best_model_checkpoint": "experts/mistralic-expert-29/checkpoint-1600", "epoch": 0.40398939527837396, "eval_steps": 200, "global_step": 1600, "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": 0.8281, "step": 1 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.6834, "step": 2 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.6795, "step": 3 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.5884, "step": 4 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.836, "step": 5 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.7988, "step": 6 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.531, "step": 7 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.6883, "step": 8 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.7717, "step": 9 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.7416, "step": 10 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.5991, "step": 11 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.6144, "step": 12 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.5785, "step": 13 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.7473, "step": 14 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.6916, "step": 15 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.9093, "step": 16 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.9202, "step": 17 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.5683, "step": 18 }, { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.6056, "step": 19 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8613, "step": 20 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7247, "step": 21 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5612, "step": 22 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6764, "step": 23 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8115, "step": 24 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5642, "step": 25 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5383, "step": 26 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5503, "step": 27 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6636, "step": 28 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7039, "step": 29 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7322, "step": 30 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6291, "step": 31 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6892, "step": 32 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8208, "step": 33 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6776, "step": 34 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5404, "step": 35 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6605, "step": 36 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8808, "step": 37 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7159, "step": 38 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6436, "step": 39 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5478, "step": 40 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.879, "step": 41 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8325, "step": 42 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7474, "step": 43 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6632, "step": 44 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6072, "step": 45 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7562, "step": 46 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6429, "step": 47 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6926, "step": 48 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7064, "step": 49 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7125, "step": 50 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6166, "step": 51 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.5655, "step": 52 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.7084, "step": 53 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6504, "step": 54 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6086, "step": 55 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8146, "step": 56 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.706, "step": 57 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.6723, "step": 58 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.4581, "step": 59 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7367, "step": 60 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7673, "step": 61 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.513, "step": 62 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7892, "step": 63 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.662, "step": 64 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.656, "step": 65 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.559, "step": 66 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6614, "step": 67 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7893, "step": 68 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7972, "step": 69 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.8093, "step": 70 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.8171, "step": 71 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6491, "step": 72 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6915, "step": 73 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5994, "step": 74 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5994, "step": 75 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.608, "step": 76 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6353, "step": 77 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6389, "step": 78 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.539, "step": 79 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6736, "step": 80 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7245, "step": 81 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7079, "step": 82 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7158, "step": 83 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5509, "step": 84 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.688, "step": 85 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.9429, "step": 86 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7074, "step": 87 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7848, "step": 88 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7461, "step": 89 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7644, "step": 90 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.893, "step": 91 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.9111, "step": 92 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.729, "step": 93 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6529, "step": 94 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.9489, "step": 95 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6918, "step": 96 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.5863, "step": 97 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6953, "step": 98 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6269, "step": 99 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5336, "step": 100 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6729, "step": 101 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.57, "step": 102 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.7521, "step": 103 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6486, "step": 104 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6212, "step": 105 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8345, "step": 106 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6985, "step": 107 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6532, "step": 108 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.7224, "step": 109 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6173, "step": 110 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8925, "step": 111 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6129, "step": 112 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6461, "step": 113 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5614, "step": 114 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.7075, "step": 115 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5555, "step": 116 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6579, "step": 117 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.7032, "step": 118 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.7109, "step": 119 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.631, "step": 120 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5974, "step": 121 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8038, "step": 122 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6748, "step": 123 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8089, "step": 124 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.5831, "step": 125 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.7566, "step": 126 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6766, "step": 127 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.7793, "step": 128 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.638, "step": 129 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6085, "step": 130 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6366, "step": 131 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.918, "step": 132 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6851, "step": 133 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6124, "step": 134 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.7642, "step": 135 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.642, "step": 136 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.9157, "step": 137 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6619, "step": 138 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8664, "step": 139 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6881, "step": 140 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6909, "step": 141 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7242, "step": 142 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.635, "step": 143 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8164, "step": 144 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6169, "step": 145 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.5874, "step": 146 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6332, "step": 147 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8494, "step": 148 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.834, "step": 149 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8598, "step": 150 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.5545, "step": 151 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.9171, "step": 152 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6941, "step": 153 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8018, "step": 154 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7894, "step": 155 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.5925, "step": 156 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6051, "step": 157 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7172, "step": 158 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7902, "step": 159 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8397, "step": 160 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7131, "step": 161 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7729, "step": 162 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.604, "step": 163 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.682, "step": 164 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.641, "step": 165 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7199, "step": 166 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.5337, "step": 167 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8882, "step": 168 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7981, "step": 169 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7438, "step": 170 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.586, "step": 171 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8469, "step": 172 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.7154, "step": 173 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6153, "step": 174 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.5517, "step": 175 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.951, "step": 176 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6128, "step": 177 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.6679, "step": 178 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6546, "step": 179 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6633, "step": 180 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7509, "step": 181 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6667, "step": 182 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6744, "step": 183 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.8333, "step": 184 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.9516, "step": 185 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.5293, "step": 186 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.5694, "step": 187 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7939, "step": 188 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6257, "step": 189 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6859, "step": 190 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7746, "step": 191 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.5474, "step": 192 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6079, "step": 193 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6545, "step": 194 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7829, "step": 195 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6969, "step": 196 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.713, "step": 197 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.8589, "step": 198 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6964, "step": 199 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6997, "step": 200 }, { "epoch": 0.05, "eval_loss": 0.6861502528190613, "eval_runtime": 95.1356, "eval_samples_per_second": 10.511, "eval_steps_per_second": 5.256, "step": 200 }, { "epoch": 0.05, "mmlu_eval_accuracy": 0.5869545490402098, "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, "mmlu_eval_accuracy_anatomy": 0.5, "mmlu_eval_accuracy_astronomy": 0.8125, "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, "mmlu_eval_accuracy_clinical_knowledge": 0.6206896551724138, "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": 0.5454545454545454, "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": 0.46153846153846156, "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": 0.59375, "mmlu_eval_accuracy_high_school_chemistry": 0.45454545454545453, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, "mmlu_eval_accuracy_high_school_geography": 0.9090909090909091, "mmlu_eval_accuracy_high_school_government_and_politics": 0.7619047619047619, "mmlu_eval_accuracy_high_school_macroeconomics": 0.6511627906976745, "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, "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": 0.34782608695652173, "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, "mmlu_eval_accuracy_human_aging": 0.7391304347826086, "mmlu_eval_accuracy_human_sexuality": 0.5, "mmlu_eval_accuracy_international_law": 1.0, "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, "mmlu_eval_accuracy_machine_learning": 0.36363636363636365, "mmlu_eval_accuracy_management": 0.9090909090909091, "mmlu_eval_accuracy_marketing": 0.92, "mmlu_eval_accuracy_medical_genetics": 1.0, "mmlu_eval_accuracy_miscellaneous": 0.7441860465116279, "mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, "mmlu_eval_accuracy_moral_scenarios": 0.38, "mmlu_eval_accuracy_nutrition": 0.7272727272727273, "mmlu_eval_accuracy_philosophy": 0.7058823529411765, "mmlu_eval_accuracy_prehistory": 0.4857142857142857, "mmlu_eval_accuracy_professional_accounting": 0.5483870967741935, "mmlu_eval_accuracy_professional_law": 0.40588235294117647, "mmlu_eval_accuracy_professional_medicine": 0.6129032258064516, "mmlu_eval_accuracy_professional_psychology": 0.6231884057971014, "mmlu_eval_accuracy_public_relations": 0.5, "mmlu_eval_accuracy_security_studies": 0.6296296296296297, "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": 0.7894736842105263, "mmlu_loss": 1.8230019673977447, "step": 200 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6604, "step": 201 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.8396, "step": 202 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7984, "step": 203 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6176, "step": 204 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.5603, "step": 205 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6735, "step": 206 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.5549, "step": 207 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6017, "step": 208 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7503, "step": 209 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6149, "step": 210 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.695, "step": 211 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6514, "step": 212 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6449, "step": 213 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7956, "step": 214 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.5207, "step": 215 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6516, "step": 216 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.8209, "step": 217 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6882, "step": 218 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6878, "step": 219 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6819, "step": 220 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.5928, "step": 221 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6976, "step": 222 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.5981, "step": 223 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.8225, "step": 224 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6529, "step": 225 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6796, "step": 226 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.5937, "step": 227 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7849, "step": 228 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.8637, "step": 229 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7255, "step": 230 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7026, "step": 231 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.72, "step": 232 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7608, "step": 233 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6111, "step": 234 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6461, "step": 235 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7821, "step": 236 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6617, "step": 237 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.703, "step": 238 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6998, "step": 239 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6882, "step": 240 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6719, "step": 241 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7673, "step": 242 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6299, "step": 243 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7046, "step": 244 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.648, "step": 245 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.8277, "step": 246 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6474, "step": 247 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6895, "step": 248 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7114, "step": 249 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.5852, "step": 250 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.732, "step": 251 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.7306, "step": 252 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.8135, "step": 253 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6564, "step": 254 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.837, "step": 255 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6664, "step": 256 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.6575, "step": 257 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8251, "step": 258 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8432, "step": 259 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.667, "step": 260 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.6629, "step": 261 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.6662, "step": 262 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.7222, "step": 263 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.7911, "step": 264 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.5994, "step": 265 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.7135, "step": 266 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8315, "step": 267 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.5882, "step": 268 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.7202, "step": 269 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.561, "step": 270 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.7236, "step": 271 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.6975, "step": 272 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.7764, "step": 273 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.7473, "step": 274 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.6756, "step": 275 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.6694, "step": 276 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.7919, "step": 277 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.6832, "step": 278 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.6489, "step": 279 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8486, "step": 280 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.832, "step": 281 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.6387, "step": 282 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.592, "step": 283 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.6453, "step": 284 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.751, "step": 285 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.6806, "step": 286 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.7266, "step": 287 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8536, "step": 288 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.6573, "step": 289 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.6346, "step": 290 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8819, "step": 291 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.6592, "step": 292 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.6427, "step": 293 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.7104, "step": 294 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.6236, "step": 295 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.5712, "step": 296 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.6399, "step": 297 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8104, "step": 298 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7844, "step": 299 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.887, "step": 300 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7379, "step": 301 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.5748, "step": 302 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7696, "step": 303 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6378, "step": 304 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.5088, "step": 305 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6444, "step": 306 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.5152, "step": 307 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7381, "step": 308 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7065, "step": 309 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.5301, "step": 310 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6852, "step": 311 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6646, "step": 312 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6507, "step": 313 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7246, "step": 314 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6344, "step": 315 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6504, "step": 316 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6365, "step": 317 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6636, "step": 318 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6685, "step": 319 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7406, "step": 320 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.662, "step": 321 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6903, "step": 322 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7694, "step": 323 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6293, "step": 324 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7103, "step": 325 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8745, "step": 326 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.4777, "step": 327 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6935, "step": 328 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6813, "step": 329 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6788, "step": 330 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6835, "step": 331 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7498, "step": 332 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.5958, "step": 333 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.5378, "step": 334 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6314, "step": 335 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6326, "step": 336 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7197, "step": 337 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.6465, "step": 338 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.6166, "step": 339 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.6901, "step": 340 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.6614, "step": 341 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7126, "step": 342 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7241, "step": 343 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7211, "step": 344 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.8427, "step": 345 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.8317, "step": 346 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.4921, "step": 347 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.602, "step": 348 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7526, "step": 349 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7541, "step": 350 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.702, "step": 351 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.6369, "step": 352 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.71, "step": 353 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7067, "step": 354 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7172, "step": 355 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7921, "step": 356 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7258, "step": 357 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.8355, "step": 358 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7401, "step": 359 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.8881, "step": 360 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7246, "step": 361 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.6681, "step": 362 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.5973, "step": 363 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.5858, "step": 364 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7266, "step": 365 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7617, "step": 366 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.8634, "step": 367 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.8171, "step": 368 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.6914, "step": 369 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.6371, "step": 370 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7257, "step": 371 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7238, "step": 372 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.6262, "step": 373 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7033, "step": 374 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7395, "step": 375 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.7843, "step": 376 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.6959, "step": 377 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.9614, "step": 378 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.7035, "step": 379 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.8038, "step": 380 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.5506, "step": 381 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.8534, "step": 382 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.7633, "step": 383 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.7036, "step": 384 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.7258, "step": 385 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.5646, "step": 386 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.5988, "step": 387 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.6628, "step": 388 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.6735, "step": 389 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.6903, "step": 390 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.7059, "step": 391 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.6156, "step": 392 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.6621, "step": 393 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.5314, "step": 394 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.7155, "step": 395 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.8404, "step": 396 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.7622, "step": 397 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.7688, "step": 398 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.648, "step": 399 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.488, "step": 400 }, { "epoch": 0.1, "eval_loss": 0.6824774146080017, "eval_runtime": 95.1468, "eval_samples_per_second": 10.51, "eval_steps_per_second": 5.255, "step": 400 }, { "epoch": 0.1, "mmlu_eval_accuracy": 0.5881224648885633, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.5, "mmlu_eval_accuracy_astronomy": 0.8125, "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, "mmlu_eval_accuracy_clinical_knowledge": 0.6206896551724138, "mmlu_eval_accuracy_college_biology": 0.5625, "mmlu_eval_accuracy_college_chemistry": 0.25, "mmlu_eval_accuracy_college_computer_science": 0.2727272727272727, "mmlu_eval_accuracy_college_mathematics": 0.5454545454545454, "mmlu_eval_accuracy_college_medicine": 0.6363636363636364, "mmlu_eval_accuracy_college_physics": 0.45454545454545453, "mmlu_eval_accuracy_computer_security": 0.7272727272727273, "mmlu_eval_accuracy_conceptual_physics": 0.5, "mmlu_eval_accuracy_econometrics": 0.5, "mmlu_eval_accuracy_electrical_engineering": 0.625, "mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244, "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, "mmlu_eval_accuracy_global_facts": 0.3, "mmlu_eval_accuracy_high_school_biology": 0.59375, "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "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": 0.627906976744186, "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, "mmlu_eval_accuracy_high_school_microeconomics": 0.6538461538461539, "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": 0.6363636363636364, "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": 1.0, "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, "mmlu_eval_accuracy_machine_learning": 0.5454545454545454, "mmlu_eval_accuracy_management": 0.9090909090909091, "mmlu_eval_accuracy_marketing": 0.88, "mmlu_eval_accuracy_medical_genetics": 1.0, "mmlu_eval_accuracy_miscellaneous": 0.7441860465116279, "mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, "mmlu_eval_accuracy_moral_scenarios": 0.37, "mmlu_eval_accuracy_nutrition": 0.696969696969697, "mmlu_eval_accuracy_philosophy": 0.7352941176470589, "mmlu_eval_accuracy_prehistory": 0.5714285714285714, "mmlu_eval_accuracy_professional_accounting": 0.5483870967741935, "mmlu_eval_accuracy_professional_law": 0.4117647058823529, "mmlu_eval_accuracy_professional_medicine": 0.6451612903225806, "mmlu_eval_accuracy_professional_psychology": 0.6376811594202898, "mmlu_eval_accuracy_public_relations": 0.5, "mmlu_eval_accuracy_security_studies": 0.6296296296296297, "mmlu_eval_accuracy_sociology": 0.7727272727272727, "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, "mmlu_eval_accuracy_virology": 0.4444444444444444, "mmlu_eval_accuracy_world_religions": 0.7894736842105263, "mmlu_loss": 1.4297099713012382, "step": 400 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.6895, "step": 401 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.5892, "step": 402 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.5107, "step": 403 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.6283, "step": 404 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.562, "step": 405 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.7264, "step": 406 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.6245, "step": 407 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.696, "step": 408 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.749, "step": 409 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.7172, "step": 410 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.6991, "step": 411 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.8584, "step": 412 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.6207, "step": 413 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.5251, "step": 414 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.5696, "step": 415 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.664, "step": 416 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.6096, "step": 417 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.6649, "step": 418 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.7113, "step": 419 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.5898, "step": 420 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.7025, "step": 421 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.4703, "step": 422 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.5672, "step": 423 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.834, "step": 424 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.6655, "step": 425 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.6936, "step": 426 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.7467, "step": 427 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.5863, "step": 428 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.919, "step": 429 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.7066, "step": 430 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.6046, "step": 431 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.6821, "step": 432 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.6478, "step": 433 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.604, "step": 434 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.6641, "step": 435 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.6329, "step": 436 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.6918, "step": 437 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.6216, "step": 438 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.7208, "step": 439 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.6226, "step": 440 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.6756, "step": 441 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.5551, "step": 442 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.661, "step": 443 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.6459, "step": 444 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.5447, "step": 445 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.8029, "step": 446 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.5886, "step": 447 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.6214, "step": 448 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.7573, "step": 449 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.4937, "step": 450 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.6315, "step": 451 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.6872, "step": 452 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.6719, "step": 453 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.6434, "step": 454 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.882, "step": 455 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.7921, "step": 456 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.657, "step": 457 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.613, "step": 458 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.9572, "step": 459 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.753, "step": 460 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.562, "step": 461 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.7242, "step": 462 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.5071, "step": 463 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.6417, "step": 464 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.7622, "step": 465 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.6064, "step": 466 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.6344, "step": 467 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.8129, "step": 468 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.5671, "step": 469 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.6653, "step": 470 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.8753, "step": 471 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.7669, "step": 472 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.7124, "step": 473 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.5637, "step": 474 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.6063, "step": 475 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.8913, "step": 476 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.7081, "step": 477 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.6921, "step": 478 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.6802, "step": 479 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.7924, "step": 480 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.663, "step": 481 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.8256, "step": 482 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.8907, "step": 483 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.6274, "step": 484 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.6014, "step": 485 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.7409, "step": 486 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.6689, "step": 487 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.8057, "step": 488 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.714, "step": 489 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.7829, "step": 490 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.7454, "step": 491 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.6404, "step": 492 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.6949, "step": 493 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.7472, "step": 494 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.6409, "step": 495 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.7146, "step": 496 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.7208, "step": 497 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.6796, "step": 498 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.6793, "step": 499 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.8412, "step": 500 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.714, "step": 501 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.6695, "step": 502 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.7764, "step": 503 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.5901, "step": 504 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.7264, "step": 505 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.4611, "step": 506 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.6388, "step": 507 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.7984, "step": 508 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.5643, "step": 509 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.8223, "step": 510 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.653, "step": 511 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.8065, "step": 512 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.8131, "step": 513 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.6669, "step": 514 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.6538, "step": 515 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.6628, "step": 516 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.7123, "step": 517 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.7038, "step": 518 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.7661, "step": 519 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.7713, "step": 520 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.6057, "step": 521 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.7759, "step": 522 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.752, "step": 523 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.6083, "step": 524 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.564, "step": 525 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.6842, "step": 526 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.8257, "step": 527 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.668, "step": 528 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.8132, "step": 529 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.691, "step": 530 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.7447, "step": 531 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.8735, "step": 532 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.8874, "step": 533 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.6187, "step": 534 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.6091, "step": 535 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.7805, "step": 536 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.7125, "step": 537 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.7744, "step": 538 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.7623, "step": 539 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.616, "step": 540 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.5048, "step": 541 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.6342, "step": 542 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.6586, "step": 543 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.7099, "step": 544 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.7082, "step": 545 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.6549, "step": 546 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.6562, "step": 547 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.6766, "step": 548 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.8085, "step": 549 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.5737, "step": 550 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.8658, "step": 551 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.6835, "step": 552 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.6107, "step": 553 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.6473, "step": 554 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.5264, "step": 555 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.5308, "step": 556 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.7845, "step": 557 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.6702, "step": 558 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.6707, "step": 559 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.715, "step": 560 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.8565, "step": 561 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.5826, "step": 562 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.6412, "step": 563 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.7312, "step": 564 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.6294, "step": 565 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.5465, "step": 566 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.8667, "step": 567 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.8091, "step": 568 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.7047, "step": 569 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.5156, "step": 570 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.6275, "step": 571 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.5292, "step": 572 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.727, "step": 573 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.6511, "step": 574 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.5755, "step": 575 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.7141, "step": 576 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.5442, "step": 577 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.6237, "step": 578 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.6656, "step": 579 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.7612, "step": 580 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.5665, "step": 581 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.706, "step": 582 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.6703, "step": 583 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.64, "step": 584 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.5549, "step": 585 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.5237, "step": 586 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.6167, "step": 587 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.595, "step": 588 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.8437, "step": 589 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.7083, "step": 590 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.849, "step": 591 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.7253, "step": 592 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.6806, "step": 593 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.6226, "step": 594 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.6413, "step": 595 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.8792, "step": 596 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.5808, "step": 597 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.8768, "step": 598 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.8693, "step": 599 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.8851, "step": 600 }, { "epoch": 0.15, "eval_loss": 0.681043803691864, "eval_runtime": 95.159, "eval_samples_per_second": 10.509, "eval_steps_per_second": 5.254, "step": 600 }, { "epoch": 0.15, "mmlu_eval_accuracy": 0.5878984403883732, "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": 0.6551724137931034, "mmlu_eval_accuracy_college_biology": 0.625, "mmlu_eval_accuracy_college_chemistry": 0.25, "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365, "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453, "mmlu_eval_accuracy_college_medicine": 0.6363636363636364, "mmlu_eval_accuracy_college_physics": 0.36363636363636365, "mmlu_eval_accuracy_computer_security": 0.7272727272727273, "mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231, "mmlu_eval_accuracy_econometrics": 0.5, "mmlu_eval_accuracy_electrical_engineering": 0.625, "mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244, "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, "mmlu_eval_accuracy_global_facts": 0.5, "mmlu_eval_accuracy_high_school_biology": 0.53125, "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.7777777777777778, "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, "mmlu_eval_accuracy_high_school_macroeconomics": 0.627906976744186, "mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483, "mmlu_eval_accuracy_high_school_microeconomics": 0.6153846153846154, "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, "mmlu_eval_accuracy_high_school_psychology": 0.8833333333333333, "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, "mmlu_eval_accuracy_high_school_world_history": 0.7692307692307693, "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": 0.5454545454545454, "mmlu_eval_accuracy_management": 0.9090909090909091, "mmlu_eval_accuracy_marketing": 0.84, "mmlu_eval_accuracy_medical_genetics": 1.0, "mmlu_eval_accuracy_miscellaneous": 0.7441860465116279, "mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, "mmlu_eval_accuracy_moral_scenarios": 0.34, "mmlu_eval_accuracy_nutrition": 0.6666666666666666, "mmlu_eval_accuracy_philosophy": 0.7352941176470589, "mmlu_eval_accuracy_prehistory": 0.5142857142857142, "mmlu_eval_accuracy_professional_accounting": 0.5483870967741935, "mmlu_eval_accuracy_professional_law": 0.4176470588235294, "mmlu_eval_accuracy_professional_medicine": 0.6129032258064516, "mmlu_eval_accuracy_professional_psychology": 0.6231884057971014, "mmlu_eval_accuracy_public_relations": 0.5, "mmlu_eval_accuracy_security_studies": 0.5925925925925926, "mmlu_eval_accuracy_sociology": 0.8181818181818182, "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, "mmlu_eval_accuracy_virology": 0.5, "mmlu_eval_accuracy_world_religions": 0.7894736842105263, "mmlu_loss": 1.5582773469135593, "step": 600 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.6205, "step": 601 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.6323, "step": 602 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.6582, "step": 603 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.7214, "step": 604 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.7337, "step": 605 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.6967, "step": 606 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.5925, "step": 607 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.7246, "step": 608 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.5934, "step": 609 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.5778, "step": 610 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.7097, "step": 611 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.6428, "step": 612 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.6802, "step": 613 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.8198, "step": 614 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.7251, "step": 615 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.712, "step": 616 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.7109, "step": 617 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.6471, "step": 618 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.5935, "step": 619 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.5067, "step": 620 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.7164, "step": 621 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.6579, "step": 622 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.5533, "step": 623 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.6435, "step": 624 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.5523, "step": 625 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.64, "step": 626 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.5963, "step": 627 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.5808, "step": 628 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.7357, "step": 629 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.7685, "step": 630 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.6112, "step": 631 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.5771, "step": 632 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.6807, "step": 633 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.7864, "step": 634 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.7146, "step": 635 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.652, "step": 636 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.8465, "step": 637 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.5468, "step": 638 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.7368, "step": 639 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.6861, "step": 640 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.6096, "step": 641 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.876, "step": 642 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.7318, "step": 643 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.7272, "step": 644 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.7233, "step": 645 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.5766, "step": 646 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.8112, "step": 647 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.509, "step": 648 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.662, "step": 649 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.5192, "step": 650 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.8249, "step": 651 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.8286, "step": 652 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.726, "step": 653 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.556, "step": 654 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.6986, "step": 655 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.8957, "step": 656 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.6839, "step": 657 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.5587, "step": 658 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.6421, "step": 659 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.7218, "step": 660 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.6266, "step": 661 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.6571, "step": 662 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.7651, "step": 663 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.628, "step": 664 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.7103, "step": 665 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.6629, "step": 666 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.6109, "step": 667 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.5732, "step": 668 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.627, "step": 669 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.57, "step": 670 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.589, "step": 671 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.68, "step": 672 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.6583, "step": 673 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.6384, "step": 674 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.6129, "step": 675 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.5543, "step": 676 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.7953, "step": 677 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.6257, "step": 678 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.5456, "step": 679 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.5136, "step": 680 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.4626, "step": 681 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.7061, "step": 682 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.6561, "step": 683 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.4717, "step": 684 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.8333, "step": 685 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.5653, "step": 686 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.6158, "step": 687 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.6273, "step": 688 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.5875, "step": 689 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.7503, "step": 690 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.6726, "step": 691 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.8295, "step": 692 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.7537, "step": 693 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.7053, "step": 694 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.7355, "step": 695 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.7471, "step": 696 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.6294, "step": 697 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.9196, "step": 698 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.676, "step": 699 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.666, "step": 700 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.6315, "step": 701 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.6036, "step": 702 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.7621, "step": 703 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.7786, "step": 704 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.7091, "step": 705 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.5635, "step": 706 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.5863, "step": 707 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.7182, "step": 708 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.6654, "step": 709 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.6554, "step": 710 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.6784, "step": 711 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.6425, "step": 712 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.6923, "step": 713 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.6026, "step": 714 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.6085, "step": 715 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.8186, "step": 716 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.9611, "step": 717 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.6353, "step": 718 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.6169, "step": 719 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.8306, "step": 720 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.7393, "step": 721 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.6107, "step": 722 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.6272, "step": 723 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.8137, "step": 724 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.6601, "step": 725 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.8145, "step": 726 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.7013, "step": 727 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.8615, "step": 728 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.5397, "step": 729 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.5877, "step": 730 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.6517, "step": 731 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.6256, "step": 732 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7099, "step": 733 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.5855, "step": 734 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.8794, "step": 735 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.6913, "step": 736 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.5675, "step": 737 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.771, "step": 738 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.5814, "step": 739 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.5479, "step": 740 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.6592, "step": 741 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.6, "step": 742 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.714, "step": 743 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.9334, "step": 744 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.5193, "step": 745 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.5156, "step": 746 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7621, "step": 747 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7085, "step": 748 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7029, "step": 749 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7876, "step": 750 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.6889, "step": 751 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7157, "step": 752 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.6886, "step": 753 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7936, "step": 754 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.8475, "step": 755 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.5645, "step": 756 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7286, "step": 757 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7566, "step": 758 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.5507, "step": 759 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7878, "step": 760 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.6571, "step": 761 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.6373, "step": 762 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7095, "step": 763 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7905, "step": 764 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.5663, "step": 765 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7229, "step": 766 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.724, "step": 767 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.581, "step": 768 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.59, "step": 769 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.6692, "step": 770 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.8525, "step": 771 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.6007, "step": 772 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.5039, "step": 773 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.6594, "step": 774 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.6097, "step": 775 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.5979, "step": 776 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.6142, "step": 777 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.6798, "step": 778 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.7565, "step": 779 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.6205, "step": 780 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.561, "step": 781 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.6364, "step": 782 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.7985, "step": 783 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.6478, "step": 784 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.8059, "step": 785 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.6572, "step": 786 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.7501, "step": 787 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.5915, "step": 788 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.746, "step": 789 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.6507, "step": 790 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.5086, "step": 791 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.6255, "step": 792 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.6855, "step": 793 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.5474, "step": 794 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.6299, "step": 795 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.5785, "step": 796 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.8113, "step": 797 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.6551, "step": 798 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.5899, "step": 799 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.5783, "step": 800 }, { "epoch": 0.2, "eval_loss": 0.6814640164375305, "eval_runtime": 95.15, "eval_samples_per_second": 10.51, "eval_steps_per_second": 5.255, "step": 800 }, { "epoch": 0.2, "mmlu_eval_accuracy": 0.5718623534237226, "mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182, "mmlu_eval_accuracy_anatomy": 0.5, "mmlu_eval_accuracy_astronomy": 0.6875, "mmlu_eval_accuracy_business_ethics": 0.45454545454545453, "mmlu_eval_accuracy_clinical_knowledge": 0.6551724137931034, "mmlu_eval_accuracy_college_biology": 0.625, "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": 0.6818181818181818, "mmlu_eval_accuracy_college_physics": 0.5454545454545454, "mmlu_eval_accuracy_computer_security": 0.5454545454545454, "mmlu_eval_accuracy_conceptual_physics": 0.3076923076923077, "mmlu_eval_accuracy_econometrics": 0.5, "mmlu_eval_accuracy_electrical_engineering": 0.5625, "mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637, "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, "mmlu_eval_accuracy_global_facts": 0.5, "mmlu_eval_accuracy_high_school_biology": 0.65625, "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.7777777777777778, "mmlu_eval_accuracy_high_school_geography": 0.7272727272727273, "mmlu_eval_accuracy_high_school_government_and_politics": 0.7619047619047619, "mmlu_eval_accuracy_high_school_macroeconomics": 0.5581395348837209, "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": 0.8833333333333333, "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, "mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307, "mmlu_eval_accuracy_human_aging": 0.6956521739130435, "mmlu_eval_accuracy_human_sexuality": 0.5, "mmlu_eval_accuracy_international_law": 1.0, "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, "mmlu_eval_accuracy_logical_fallacies": 0.7222222222222222, "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": 0.5789473684210527, "mmlu_eval_accuracy_moral_scenarios": 0.42, "mmlu_eval_accuracy_nutrition": 0.696969696969697, "mmlu_eval_accuracy_philosophy": 0.7058823529411765, "mmlu_eval_accuracy_prehistory": 0.4857142857142857, "mmlu_eval_accuracy_professional_accounting": 0.45161290322580644, "mmlu_eval_accuracy_professional_law": 0.4117647058823529, "mmlu_eval_accuracy_professional_medicine": 0.5806451612903226, "mmlu_eval_accuracy_professional_psychology": 0.5507246376811594, "mmlu_eval_accuracy_public_relations": 0.4166666666666667, "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": 0.4444444444444444, "mmlu_eval_accuracy_world_religions": 0.7368421052631579, "mmlu_loss": 1.2909344176010427, "step": 800 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.5774, "step": 801 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.6501, "step": 802 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.5551, "step": 803 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.5957, "step": 804 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.7285, "step": 805 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.7023, "step": 806 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.6034, "step": 807 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.6814, "step": 808 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.7513, "step": 809 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.8149, "step": 810 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.6449, "step": 811 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.6859, "step": 812 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.6281, "step": 813 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.6829, "step": 814 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.6105, "step": 815 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.5558, "step": 816 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.5602, "step": 817 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.6671, "step": 818 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.5464, "step": 819 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.8075, "step": 820 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.494, "step": 821 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.7568, "step": 822 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.4953, "step": 823 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.7836, "step": 824 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.6348, "step": 825 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.5915, "step": 826 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.6247, "step": 827 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.71, "step": 828 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.5769, "step": 829 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.7089, "step": 830 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.5729, "step": 831 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.5917, "step": 832 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.7786, "step": 833 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.8019, "step": 834 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.6636, "step": 835 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.8424, "step": 836 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.6754, "step": 837 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.6161, "step": 838 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.5444, "step": 839 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.7085, "step": 840 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.7551, "step": 841 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.7299, "step": 842 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.5431, "step": 843 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.8355, "step": 844 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.6143, "step": 845 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.717, "step": 846 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.6974, "step": 847 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.7288, "step": 848 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.8394, "step": 849 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.657, "step": 850 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.7037, "step": 851 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.6339, "step": 852 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.6944, "step": 853 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.6828, "step": 854 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.7328, "step": 855 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.6694, "step": 856 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.8032, "step": 857 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.8131, "step": 858 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.7433, "step": 859 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.708, "step": 860 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.7067, "step": 861 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.6297, "step": 862 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.6443, "step": 863 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.8502, "step": 864 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.5538, "step": 865 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.7008, "step": 866 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.6653, "step": 867 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.6451, "step": 868 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.7084, "step": 869 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.8601, "step": 870 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.5358, "step": 871 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.6718, "step": 872 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.5517, "step": 873 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.6549, "step": 874 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.7216, "step": 875 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.7148, "step": 876 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.5372, "step": 877 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.5596, "step": 878 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.7043, "step": 879 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.8086, "step": 880 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.6792, "step": 881 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.6755, "step": 882 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.6847, "step": 883 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.5338, "step": 884 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.6315, "step": 885 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.6218, "step": 886 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.6104, "step": 887 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.7548, "step": 888 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.7962, "step": 889 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.6811, "step": 890 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.6846, "step": 891 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.7009, "step": 892 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.7878, "step": 893 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.5538, "step": 894 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.7315, "step": 895 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.545, "step": 896 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.6695, "step": 897 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.7398, "step": 898 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.6561, "step": 899 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.6755, "step": 900 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.6978, "step": 901 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.6664, "step": 902 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.6345, "step": 903 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.5081, "step": 904 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.7101, "step": 905 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.8139, "step": 906 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.6188, "step": 907 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.776, "step": 908 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.7635, "step": 909 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.7123, "step": 910 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.6044, "step": 911 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.6356, "step": 912 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.7947, "step": 913 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.6626, "step": 914 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.6585, "step": 915 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.6067, "step": 916 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.5847, "step": 917 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.6528, "step": 918 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.6629, "step": 919 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.8562, "step": 920 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.9942, "step": 921 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.532, "step": 922 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.635, "step": 923 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.5158, "step": 924 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.6529, "step": 925 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.7796, "step": 926 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.6765, "step": 927 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.7806, "step": 928 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.7409, "step": 929 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.6485, "step": 930 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.7922, "step": 931 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.7487, "step": 932 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.5929, "step": 933 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.5724, "step": 934 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.6623, "step": 935 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.6592, "step": 936 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.9501, "step": 937 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.7094, "step": 938 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.6781, "step": 939 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.7428, "step": 940 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.5048, "step": 941 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.6549, "step": 942 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.7574, "step": 943 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.8113, "step": 944 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.6498, "step": 945 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.679, "step": 946 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.7598, "step": 947 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.6711, "step": 948 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.704, "step": 949 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.5898, "step": 950 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.6985, "step": 951 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.7167, "step": 952 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.6752, "step": 953 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.8812, "step": 954 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.8329, "step": 955 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.8951, "step": 956 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.6089, "step": 957 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.6381, "step": 958 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.5785, "step": 959 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.6031, "step": 960 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.685, "step": 961 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.7368, "step": 962 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.7425, "step": 963 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.7568, "step": 964 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.59, "step": 965 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.8034, "step": 966 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.8006, "step": 967 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.649, "step": 968 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.5746, "step": 969 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.7108, "step": 970 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.7106, "step": 971 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.8254, "step": 972 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.7934, "step": 973 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.5976, "step": 974 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.584, "step": 975 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.8177, "step": 976 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.7814, "step": 977 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.6409, "step": 978 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.7198, "step": 979 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.7664, "step": 980 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.7733, "step": 981 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.5811, "step": 982 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.7983, "step": 983 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.6028, "step": 984 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.7323, "step": 985 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.6636, "step": 986 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.8126, "step": 987 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.6339, "step": 988 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.6593, "step": 989 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.8156, "step": 990 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.8751, "step": 991 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.7271, "step": 992 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.5381, "step": 993 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.6672, "step": 994 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.5855, "step": 995 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.6891, "step": 996 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.625, "step": 997 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.7821, "step": 998 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.6075, "step": 999 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.7901, "step": 1000 }, { "epoch": 0.25, "eval_loss": 0.6783415675163269, "eval_runtime": 95.1477, "eval_samples_per_second": 10.51, "eval_steps_per_second": 5.255, "step": 1000 }, { "epoch": 0.25, "mmlu_eval_accuracy": 0.5781670179549979, "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": 0.6551724137931034, "mmlu_eval_accuracy_college_biology": 0.625, "mmlu_eval_accuracy_college_chemistry": 0.375, "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365, "mmlu_eval_accuracy_college_mathematics": 0.36363636363636365, "mmlu_eval_accuracy_college_medicine": 0.5909090909090909, "mmlu_eval_accuracy_college_physics": 0.45454545454545453, "mmlu_eval_accuracy_computer_security": 0.7272727272727273, "mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231, "mmlu_eval_accuracy_econometrics": 0.5833333333333334, "mmlu_eval_accuracy_electrical_engineering": 0.5, "mmlu_eval_accuracy_elementary_mathematics": 0.4146341463414634, "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, "mmlu_eval_accuracy_global_facts": 0.5, "mmlu_eval_accuracy_high_school_biology": 0.59375, "mmlu_eval_accuracy_high_school_chemistry": 0.45454545454545453, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112, "mmlu_eval_accuracy_high_school_geography": 0.7272727272727273, "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, "mmlu_eval_accuracy_high_school_macroeconomics": 0.5813953488372093, "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, "mmlu_eval_accuracy_high_school_microeconomics": 0.6538461538461539, "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, "mmlu_eval_accuracy_high_school_psychology": 0.8833333333333333, "mmlu_eval_accuracy_high_school_statistics": 0.4782608695652174, "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, "mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307, "mmlu_eval_accuracy_human_aging": 0.6521739130434783, "mmlu_eval_accuracy_human_sexuality": 0.5, "mmlu_eval_accuracy_international_law": 0.9230769230769231, "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, "mmlu_eval_accuracy_management": 0.8181818181818182, "mmlu_eval_accuracy_marketing": 0.84, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.7209302325581395, "mmlu_eval_accuracy_moral_disputes": 0.5789473684210527, "mmlu_eval_accuracy_moral_scenarios": 0.45, "mmlu_eval_accuracy_nutrition": 0.7272727272727273, "mmlu_eval_accuracy_philosophy": 0.7352941176470589, "mmlu_eval_accuracy_prehistory": 0.6571428571428571, "mmlu_eval_accuracy_professional_accounting": 0.45161290322580644, "mmlu_eval_accuracy_professional_law": 0.40588235294117647, "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": 0.8181818181818182, "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, "mmlu_eval_accuracy_virology": 0.4444444444444444, "mmlu_eval_accuracy_world_religions": 0.7894736842105263, "mmlu_loss": 1.5702223767655326, "step": 1000 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.4178, "step": 1001 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.7521, "step": 1002 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.5872, "step": 1003 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.616, "step": 1004 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.7318, "step": 1005 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.6551, "step": 1006 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.6483, "step": 1007 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.7553, "step": 1008 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.8559, "step": 1009 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.6461, "step": 1010 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.5396, "step": 1011 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.704, "step": 1012 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.5942, "step": 1013 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.5126, "step": 1014 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.6877, "step": 1015 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.7196, "step": 1016 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.6102, "step": 1017 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.6466, "step": 1018 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.7637, "step": 1019 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.6783, "step": 1020 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.6411, "step": 1021 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.8718, "step": 1022 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.6924, "step": 1023 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.6565, "step": 1024 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.6505, "step": 1025 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.7003, "step": 1026 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.5941, "step": 1027 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.8446, "step": 1028 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.7758, "step": 1029 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.5144, "step": 1030 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.6016, "step": 1031 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.662, "step": 1032 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.8138, "step": 1033 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.5986, "step": 1034 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.7452, "step": 1035 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.6334, "step": 1036 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.6838, "step": 1037 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.688, "step": 1038 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.8521, "step": 1039 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.6475, "step": 1040 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.5702, "step": 1041 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.7083, "step": 1042 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.6892, "step": 1043 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.6212, "step": 1044 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.7381, "step": 1045 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.6538, "step": 1046 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.8723, "step": 1047 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.7057, "step": 1048 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.6756, "step": 1049 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.6432, "step": 1050 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.7659, "step": 1051 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.7459, "step": 1052 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.8781, "step": 1053 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.5563, "step": 1054 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.6812, "step": 1055 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.7508, "step": 1056 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.6517, "step": 1057 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.6956, "step": 1058 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.6634, "step": 1059 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.5722, "step": 1060 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.6465, "step": 1061 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.4969, "step": 1062 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.7337, "step": 1063 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.7077, "step": 1064 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.6847, "step": 1065 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.7267, "step": 1066 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.7071, "step": 1067 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.6834, "step": 1068 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.5257, "step": 1069 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.6401, "step": 1070 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.7475, "step": 1071 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.7421, "step": 1072 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.5583, "step": 1073 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.546, "step": 1074 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.6784, "step": 1075 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.7254, "step": 1076 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.7964, "step": 1077 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.7922, "step": 1078 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.5688, "step": 1079 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.5533, "step": 1080 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.528, "step": 1081 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.5794, "step": 1082 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.8378, "step": 1083 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.5867, "step": 1084 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.5639, "step": 1085 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.7968, "step": 1086 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.7544, "step": 1087 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.6913, "step": 1088 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.6357, "step": 1089 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.5657, "step": 1090 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.7251, "step": 1091 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.5727, "step": 1092 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.5261, "step": 1093 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.7335, "step": 1094 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.6449, "step": 1095 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.5099, "step": 1096 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.8349, "step": 1097 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.6444, "step": 1098 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.7729, "step": 1099 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.7279, "step": 1100 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.5876, "step": 1101 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.7594, "step": 1102 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.7731, "step": 1103 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.6374, "step": 1104 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.8135, "step": 1105 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.6488, "step": 1106 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.5284, "step": 1107 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.6573, "step": 1108 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.9389, "step": 1109 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.6299, "step": 1110 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.7358, "step": 1111 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.7871, "step": 1112 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.6376, "step": 1113 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.7207, "step": 1114 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.6644, "step": 1115 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.7012, "step": 1116 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.817, "step": 1117 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.7232, "step": 1118 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.5842, "step": 1119 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.6259, "step": 1120 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.838, "step": 1121 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.6278, "step": 1122 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.6918, "step": 1123 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.7709, "step": 1124 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.501, "step": 1125 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.7975, "step": 1126 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.7706, "step": 1127 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.5354, "step": 1128 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.659, "step": 1129 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.7308, "step": 1130 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.727, "step": 1131 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.6271, "step": 1132 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.5606, "step": 1133 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.6604, "step": 1134 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.7064, "step": 1135 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.7509, "step": 1136 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.5428, "step": 1137 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.6304, "step": 1138 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.734, "step": 1139 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.7115, "step": 1140 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.6779, "step": 1141 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.6508, "step": 1142 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.6691, "step": 1143 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.7027, "step": 1144 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.9717, "step": 1145 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.8002, "step": 1146 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.7993, "step": 1147 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.5896, "step": 1148 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.5451, "step": 1149 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.6826, "step": 1150 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.6431, "step": 1151 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.7518, "step": 1152 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.7049, "step": 1153 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.7328, "step": 1154 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.7074, "step": 1155 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.6761, "step": 1156 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.7031, "step": 1157 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.6714, "step": 1158 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.7035, "step": 1159 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.8179, "step": 1160 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.6302, "step": 1161 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.7259, "step": 1162 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.7118, "step": 1163 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.663, "step": 1164 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.5841, "step": 1165 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.5251, "step": 1166 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.7426, "step": 1167 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.7626, "step": 1168 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.7355, "step": 1169 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.6213, "step": 1170 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.771, "step": 1171 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.4565, "step": 1172 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.6992, "step": 1173 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.666, "step": 1174 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.7834, "step": 1175 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.6922, "step": 1176 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.6454, "step": 1177 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.6883, "step": 1178 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.736, "step": 1179 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.7899, "step": 1180 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.5996, "step": 1181 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.8246, "step": 1182 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.5117, "step": 1183 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.6604, "step": 1184 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.551, "step": 1185 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.7452, "step": 1186 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.6707, "step": 1187 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.6617, "step": 1188 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.6433, "step": 1189 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.7825, "step": 1190 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.7608, "step": 1191 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.4809, "step": 1192 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.6516, "step": 1193 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.697, "step": 1194 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.8099, "step": 1195 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.679, "step": 1196 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.5954, "step": 1197 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.6277, "step": 1198 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.6053, "step": 1199 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.9202, "step": 1200 }, { "epoch": 0.3, "eval_loss": 0.6810036897659302, "eval_runtime": 95.1388, "eval_samples_per_second": 10.511, "eval_steps_per_second": 5.255, "step": 1200 }, { "epoch": 0.3, "mmlu_eval_accuracy": 0.5835316288493765, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.5, "mmlu_eval_accuracy_astronomy": 0.75, "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, "mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241, "mmlu_eval_accuracy_college_biology": 0.625, "mmlu_eval_accuracy_college_chemistry": 0.375, "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453, "mmlu_eval_accuracy_college_medicine": 0.6363636363636364, "mmlu_eval_accuracy_college_physics": 0.45454545454545453, "mmlu_eval_accuracy_computer_security": 0.7272727272727273, "mmlu_eval_accuracy_conceptual_physics": 0.46153846153846156, "mmlu_eval_accuracy_econometrics": 0.5, "mmlu_eval_accuracy_electrical_engineering": 0.5625, "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": 0.59375, "mmlu_eval_accuracy_high_school_chemistry": 0.5, "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": 0.7619047619047619, "mmlu_eval_accuracy_high_school_macroeconomics": 0.5348837209302325, "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, "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": 0.4782608695652174, "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": 0.8461538461538461, "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, "mmlu_eval_accuracy_management": 0.8181818181818182, "mmlu_eval_accuracy_marketing": 0.84, "mmlu_eval_accuracy_medical_genetics": 1.0, "mmlu_eval_accuracy_miscellaneous": 0.7325581395348837, "mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, "mmlu_eval_accuracy_moral_scenarios": 0.3, "mmlu_eval_accuracy_nutrition": 0.7272727272727273, "mmlu_eval_accuracy_philosophy": 0.7352941176470589, "mmlu_eval_accuracy_prehistory": 0.5428571428571428, "mmlu_eval_accuracy_professional_accounting": 0.45161290322580644, "mmlu_eval_accuracy_professional_law": 0.4176470588235294, "mmlu_eval_accuracy_professional_medicine": 0.6129032258064516, "mmlu_eval_accuracy_professional_psychology": 0.5942028985507246, "mmlu_eval_accuracy_public_relations": 0.5, "mmlu_eval_accuracy_security_studies": 0.5555555555555556, "mmlu_eval_accuracy_sociology": 0.7727272727272727, "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, "mmlu_eval_accuracy_virology": 0.4444444444444444, "mmlu_eval_accuracy_world_religions": 0.8421052631578947, "mmlu_loss": 1.4905778135394303, "step": 1200 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.4869, "step": 1201 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.6106, "step": 1202 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.7206, "step": 1203 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.5812, "step": 1204 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.6733, "step": 1205 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.6037, "step": 1206 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.795, "step": 1207 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.6246, "step": 1208 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.5548, "step": 1209 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.7196, "step": 1210 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.6866, "step": 1211 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.6209, "step": 1212 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.8557, "step": 1213 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.6876, "step": 1214 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.6158, "step": 1215 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.6297, "step": 1216 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.6491, "step": 1217 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.6287, "step": 1218 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.6252, "step": 1219 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.6873, "step": 1220 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.5911, "step": 1221 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.7319, "step": 1222 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.7247, "step": 1223 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.7145, "step": 1224 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.6329, "step": 1225 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.8183, "step": 1226 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.5551, "step": 1227 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.7597, "step": 1228 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.5595, "step": 1229 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.7961, "step": 1230 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.5489, "step": 1231 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.6431, "step": 1232 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.5588, "step": 1233 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.6952, "step": 1234 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.5138, "step": 1235 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 1.0259, "step": 1236 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.8318, "step": 1237 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.6335, "step": 1238 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.6826, "step": 1239 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.6166, "step": 1240 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.6465, "step": 1241 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.7506, "step": 1242 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.591, "step": 1243 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.6649, "step": 1244 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.656, "step": 1245 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.7114, "step": 1246 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.7832, "step": 1247 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.5856, "step": 1248 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.6836, "step": 1249 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.6333, "step": 1250 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.5042, "step": 1251 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.6866, "step": 1252 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.6668, "step": 1253 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.6552, "step": 1254 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.6977, "step": 1255 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.6037, "step": 1256 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.832, "step": 1257 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.5273, "step": 1258 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.7386, "step": 1259 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.653, "step": 1260 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.614, "step": 1261 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.7628, "step": 1262 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.6201, "step": 1263 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.5516, "step": 1264 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.6991, "step": 1265 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.7061, "step": 1266 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.6749, "step": 1267 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.7053, "step": 1268 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.5797, "step": 1269 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.5091, "step": 1270 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.765, "step": 1271 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.6029, "step": 1272 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.698, "step": 1273 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.5742, "step": 1274 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.6863, "step": 1275 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.6265, "step": 1276 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.5899, "step": 1277 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.651, "step": 1278 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.4986, "step": 1279 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.4805, "step": 1280 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.6132, "step": 1281 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.6219, "step": 1282 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.6066, "step": 1283 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.654, "step": 1284 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 1.0051, "step": 1285 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.7104, "step": 1286 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.688, "step": 1287 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.6253, "step": 1288 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.6587, "step": 1289 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.6534, "step": 1290 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.689, "step": 1291 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.581, "step": 1292 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.6055, "step": 1293 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.6293, "step": 1294 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.6579, "step": 1295 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.6064, "step": 1296 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.8304, "step": 1297 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.6481, "step": 1298 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.9089, "step": 1299 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.6888, "step": 1300 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.7876, "step": 1301 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.8088, "step": 1302 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.6945, "step": 1303 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.7504, "step": 1304 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.587, "step": 1305 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.6287, "step": 1306 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.7266, "step": 1307 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.6007, "step": 1308 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.5811, "step": 1309 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.7011, "step": 1310 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.6284, "step": 1311 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.7451, "step": 1312 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.7239, "step": 1313 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.6076, "step": 1314 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.6834, "step": 1315 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.923, "step": 1316 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.6306, "step": 1317 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.5123, "step": 1318 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.8825, "step": 1319 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.5398, "step": 1320 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.6495, "step": 1321 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.7782, "step": 1322 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.6466, "step": 1323 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.638, "step": 1324 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.5186, "step": 1325 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.9118, "step": 1326 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.785, "step": 1327 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.4935, "step": 1328 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.6682, "step": 1329 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.5597, "step": 1330 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.8567, "step": 1331 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.6107, "step": 1332 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.5862, "step": 1333 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.5815, "step": 1334 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.6833, "step": 1335 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.7655, "step": 1336 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.6823, "step": 1337 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.6354, "step": 1338 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.6277, "step": 1339 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.6497, "step": 1340 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.7002, "step": 1341 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.6133, "step": 1342 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.6416, "step": 1343 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.6842, "step": 1344 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.7123, "step": 1345 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.8271, "step": 1346 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.6666, "step": 1347 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.9504, "step": 1348 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.6371, "step": 1349 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.7634, "step": 1350 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.7303, "step": 1351 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.7097, "step": 1352 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.7529, "step": 1353 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.6999, "step": 1354 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.6651, "step": 1355 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.8141, "step": 1356 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.6434, "step": 1357 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.6283, "step": 1358 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.6363, "step": 1359 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.6928, "step": 1360 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.7166, "step": 1361 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.7651, "step": 1362 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.6434, "step": 1363 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.818, "step": 1364 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.6078, "step": 1365 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.8025, "step": 1366 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.5485, "step": 1367 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.7229, "step": 1368 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.5957, "step": 1369 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.6588, "step": 1370 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.8135, "step": 1371 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.7023, "step": 1372 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.8324, "step": 1373 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.5689, "step": 1374 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.6604, "step": 1375 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.8498, "step": 1376 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.6137, "step": 1377 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.5773, "step": 1378 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.5678, "step": 1379 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.7223, "step": 1380 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.7931, "step": 1381 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.663, "step": 1382 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.544, "step": 1383 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.5807, "step": 1384 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.5492, "step": 1385 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.5977, "step": 1386 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.6476, "step": 1387 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.6748, "step": 1388 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.5966, "step": 1389 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.7089, "step": 1390 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.6423, "step": 1391 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.7271, "step": 1392 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.6728, "step": 1393 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.5751, "step": 1394 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.7131, "step": 1395 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.7541, "step": 1396 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.6335, "step": 1397 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.485, "step": 1398 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.5439, "step": 1399 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.8242, "step": 1400 }, { "epoch": 0.35, "eval_loss": 0.6763028502464294, "eval_runtime": 95.1986, "eval_samples_per_second": 10.504, "eval_steps_per_second": 5.252, "step": 1400 }, { "epoch": 0.35, "mmlu_eval_accuracy": 0.5928269312851382, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.5, "mmlu_eval_accuracy_astronomy": 0.6875, "mmlu_eval_accuracy_business_ethics": 0.45454545454545453, "mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241, "mmlu_eval_accuracy_college_biology": 0.625, "mmlu_eval_accuracy_college_chemistry": 0.375, "mmlu_eval_accuracy_college_computer_science": 0.2727272727272727, "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453, "mmlu_eval_accuracy_college_medicine": 0.6818181818181818, "mmlu_eval_accuracy_college_physics": 0.5454545454545454, "mmlu_eval_accuracy_computer_security": 0.7272727272727273, "mmlu_eval_accuracy_conceptual_physics": 0.46153846153846156, "mmlu_eval_accuracy_econometrics": 0.5833333333333334, "mmlu_eval_accuracy_electrical_engineering": 0.625, "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": 0.65625, "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": 0.7727272727272727, "mmlu_eval_accuracy_high_school_government_and_politics": 0.7619047619047619, "mmlu_eval_accuracy_high_school_macroeconomics": 0.6046511627906976, "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, "mmlu_eval_accuracy_high_school_microeconomics": 0.6923076923076923, "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, "mmlu_eval_accuracy_high_school_psychology": 0.85, "mmlu_eval_accuracy_high_school_statistics": 0.5217391304347826, "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": 0.9230769230769231, "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, "mmlu_eval_accuracy_machine_learning": 0.6363636363636364, "mmlu_eval_accuracy_management": 0.8181818181818182, "mmlu_eval_accuracy_marketing": 0.8, "mmlu_eval_accuracy_medical_genetics": 1.0, "mmlu_eval_accuracy_miscellaneous": 0.7441860465116279, "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, "mmlu_eval_accuracy_moral_scenarios": 0.29, "mmlu_eval_accuracy_nutrition": 0.696969696969697, "mmlu_eval_accuracy_philosophy": 0.7647058823529411, "mmlu_eval_accuracy_prehistory": 0.6, "mmlu_eval_accuracy_professional_accounting": 0.4838709677419355, "mmlu_eval_accuracy_professional_law": 0.40588235294117647, "mmlu_eval_accuracy_professional_medicine": 0.5483870967741935, "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": 0.7727272727272727, "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, "mmlu_eval_accuracy_virology": 0.4444444444444444, "mmlu_eval_accuracy_world_religions": 0.7368421052631579, "mmlu_loss": 1.068820786129868, "step": 1400 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.7123, "step": 1401 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.8586, "step": 1402 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.7008, "step": 1403 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.5463, "step": 1404 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.7016, "step": 1405 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.9149, "step": 1406 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.648, "step": 1407 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.7486, "step": 1408 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.9659, "step": 1409 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.6306, "step": 1410 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.5963, "step": 1411 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.6742, "step": 1412 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.7589, "step": 1413 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.7624, "step": 1414 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.7427, "step": 1415 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.6752, "step": 1416 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.6513, "step": 1417 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.671, "step": 1418 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.8551, "step": 1419 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.7698, "step": 1420 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.5619, "step": 1421 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.9796, "step": 1422 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.9814, "step": 1423 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.7682, "step": 1424 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.6395, "step": 1425 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.7626, "step": 1426 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.7214, "step": 1427 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.5875, "step": 1428 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.5905, "step": 1429 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.8514, "step": 1430 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.6642, "step": 1431 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.6829, "step": 1432 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.6224, "step": 1433 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.6831, "step": 1434 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.4386, "step": 1435 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.6397, "step": 1436 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.5813, "step": 1437 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.6845, "step": 1438 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.776, "step": 1439 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.7445, "step": 1440 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.6348, "step": 1441 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.6444, "step": 1442 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.8426, "step": 1443 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.8569, "step": 1444 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.7301, "step": 1445 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.6228, "step": 1446 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.7046, "step": 1447 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.6215, "step": 1448 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.7992, "step": 1449 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.7325, "step": 1450 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.5559, "step": 1451 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.7234, "step": 1452 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.7319, "step": 1453 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.8941, "step": 1454 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.5415, "step": 1455 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.7494, "step": 1456 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.7, "step": 1457 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.7289, "step": 1458 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.5516, "step": 1459 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.8125, "step": 1460 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.6173, "step": 1461 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.6903, "step": 1462 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.6911, "step": 1463 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.6122, "step": 1464 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.7473, "step": 1465 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.7449, "step": 1466 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.7454, "step": 1467 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.7089, "step": 1468 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.6924, "step": 1469 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.5407, "step": 1470 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.6829, "step": 1471 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.7741, "step": 1472 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.7907, "step": 1473 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.6278, "step": 1474 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.8882, "step": 1475 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.7315, "step": 1476 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.8387, "step": 1477 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.8063, "step": 1478 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.6493, "step": 1479 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.7074, "step": 1480 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.6814, "step": 1481 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.7007, "step": 1482 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.5917, "step": 1483 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.69, "step": 1484 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.6181, "step": 1485 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.6287, "step": 1486 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.5754, "step": 1487 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.7362, "step": 1488 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.6211, "step": 1489 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.7497, "step": 1490 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.7226, "step": 1491 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.6419, "step": 1492 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.7795, "step": 1493 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.6344, "step": 1494 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.5306, "step": 1495 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.5419, "step": 1496 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.5432, "step": 1497 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.8415, "step": 1498 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.8568, "step": 1499 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.6128, "step": 1500 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.5723, "step": 1501 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.875, "step": 1502 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.565, "step": 1503 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.7518, "step": 1504 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.7786, "step": 1505 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.8337, "step": 1506 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.5973, "step": 1507 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.7215, "step": 1508 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.8459, "step": 1509 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.4917, "step": 1510 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.6404, "step": 1511 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.6661, "step": 1512 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.6922, "step": 1513 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.591, "step": 1514 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.5569, "step": 1515 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.6405, "step": 1516 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.5325, "step": 1517 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.6879, "step": 1518 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.6298, "step": 1519 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.7238, "step": 1520 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.6165, "step": 1521 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.8023, "step": 1522 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.7255, "step": 1523 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.7962, "step": 1524 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.5684, "step": 1525 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.7061, "step": 1526 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.5644, "step": 1527 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.6378, "step": 1528 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.6215, "step": 1529 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.6649, "step": 1530 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.4645, "step": 1531 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.6741, "step": 1532 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.7396, "step": 1533 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.7032, "step": 1534 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.679, "step": 1535 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.7769, "step": 1536 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.7362, "step": 1537 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.4503, "step": 1538 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.574, "step": 1539 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.6546, "step": 1540 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.6171, "step": 1541 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.5444, "step": 1542 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.7572, "step": 1543 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.6303, "step": 1544 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.7493, "step": 1545 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.5565, "step": 1546 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.5058, "step": 1547 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.5971, "step": 1548 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.5321, "step": 1549 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.6629, "step": 1550 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.6316, "step": 1551 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.5542, "step": 1552 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.4855, "step": 1553 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.9305, "step": 1554 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.6897, "step": 1555 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.555, "step": 1556 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.789, "step": 1557 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.8705, "step": 1558 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.8613, "step": 1559 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.6565, "step": 1560 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.775, "step": 1561 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.5479, "step": 1562 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.8478, "step": 1563 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.7877, "step": 1564 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.7234, "step": 1565 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.7577, "step": 1566 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.6351, "step": 1567 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.7014, "step": 1568 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.7995, "step": 1569 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.6001, "step": 1570 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.7514, "step": 1571 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.4643, "step": 1572 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.7343, "step": 1573 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.7795, "step": 1574 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.6479, "step": 1575 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.5017, "step": 1576 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.5617, "step": 1577 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.7415, "step": 1578 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.8119, "step": 1579 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.573, "step": 1580 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.6875, "step": 1581 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.6311, "step": 1582 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.75, "step": 1583 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.5258, "step": 1584 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.6321, "step": 1585 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.7991, "step": 1586 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.5944, "step": 1587 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.7771, "step": 1588 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.5016, "step": 1589 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.5534, "step": 1590 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.5299, "step": 1591 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.6108, "step": 1592 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.7319, "step": 1593 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.5103, "step": 1594 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.7235, "step": 1595 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.6555, "step": 1596 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.8232, "step": 1597 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.7147, "step": 1598 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.8491, "step": 1599 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.6263, "step": 1600 }, { "epoch": 0.4, "eval_loss": 0.6742715835571289, "eval_runtime": 95.4204, "eval_samples_per_second": 10.48, "eval_steps_per_second": 5.24, "step": 1600 }, { "epoch": 0.4, "mmlu_eval_accuracy": 0.5904288436970693, "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, "mmlu_eval_accuracy_anatomy": 0.5, "mmlu_eval_accuracy_astronomy": 0.6875, "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, "mmlu_eval_accuracy_clinical_knowledge": 0.6206896551724138, "mmlu_eval_accuracy_college_biology": 0.5625, "mmlu_eval_accuracy_college_chemistry": 0.375, "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365, "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453, "mmlu_eval_accuracy_college_medicine": 0.7272727272727273, "mmlu_eval_accuracy_college_physics": 0.5454545454545454, "mmlu_eval_accuracy_computer_security": 0.7272727272727273, "mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231, "mmlu_eval_accuracy_econometrics": 0.5833333333333334, "mmlu_eval_accuracy_electrical_engineering": 0.6875, "mmlu_eval_accuracy_elementary_mathematics": 0.43902439024390244, "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, "mmlu_eval_accuracy_global_facts": 0.5, "mmlu_eval_accuracy_high_school_biology": 0.625, "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.6666666666666666, "mmlu_eval_accuracy_high_school_geography": 0.7272727272727273, "mmlu_eval_accuracy_high_school_government_and_politics": 0.7619047619047619, "mmlu_eval_accuracy_high_school_macroeconomics": 0.6046511627906976, "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, "mmlu_eval_accuracy_high_school_microeconomics": 0.6153846153846154, "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, "mmlu_eval_accuracy_high_school_psychology": 0.85, "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, "mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307, "mmlu_eval_accuracy_human_aging": 0.7391304347826086, "mmlu_eval_accuracy_human_sexuality": 0.5833333333333334, "mmlu_eval_accuracy_international_law": 0.9230769230769231, "mmlu_eval_accuracy_jurisprudence": 0.5454545454545454, "mmlu_eval_accuracy_logical_fallacies": 0.7222222222222222, "mmlu_eval_accuracy_machine_learning": 0.6363636363636364, "mmlu_eval_accuracy_management": 0.8181818181818182, "mmlu_eval_accuracy_marketing": 0.8, "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": 0.3, "mmlu_eval_accuracy_nutrition": 0.6666666666666666, "mmlu_eval_accuracy_philosophy": 0.7352941176470589, "mmlu_eval_accuracy_prehistory": 0.5714285714285714, "mmlu_eval_accuracy_professional_accounting": 0.5483870967741935, "mmlu_eval_accuracy_professional_law": 0.38823529411764707, "mmlu_eval_accuracy_professional_medicine": 0.6129032258064516, "mmlu_eval_accuracy_professional_psychology": 0.6086956521739131, "mmlu_eval_accuracy_public_relations": 0.5, "mmlu_eval_accuracy_security_studies": 0.7037037037037037, "mmlu_eval_accuracy_sociology": 0.8636363636363636, "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, "mmlu_eval_accuracy_virology": 0.3888888888888889, "mmlu_eval_accuracy_world_religions": 0.6842105263157895, "mmlu_loss": 1.417852375393748, "step": 1600 } ], "logging_steps": 1, "max_steps": 11880, "num_train_epochs": 3, "save_steps": 200, "total_flos": 1.8927417442625126e+17, "trial_name": null, "trial_params": null }