{ "results": { "harness|ko_arc_challenge|25": { "acc": 0.35921501706484643, "acc_stderr": 0.014020224155839162, "acc_norm": 0.4052901023890785, "acc_norm_stderr": 0.014346869060229325 }, "harness|ko_hellaswag|10": { "acc": 0.36496713802031466, "acc_stderr": 0.004804370563856225, "acc_norm": 0.4689304919338777, "acc_norm_stderr": 0.004980138679161039 }, "harness|ko_mmlu_world_religions|5": { "acc": 0.52046783625731, "acc_stderr": 0.0383161053282193, "acc_norm": 0.52046783625731, "acc_norm_stderr": 0.0383161053282193 }, "harness|ko_mmlu_management|5": { "acc": 0.5533980582524272, "acc_stderr": 0.04922424153458934, "acc_norm": 0.5533980582524272, "acc_norm_stderr": 0.04922424153458934 }, "harness|ko_mmlu_miscellaneous|5": { "acc": 0.49936143039591313, "acc_stderr": 0.01787994891443166, "acc_norm": 0.49936143039591313, "acc_norm_stderr": 0.01787994891443166 }, "harness|ko_mmlu_anatomy|5": { "acc": 0.34814814814814815, "acc_stderr": 0.041153246103369526, "acc_norm": 0.34814814814814815, "acc_norm_stderr": 0.041153246103369526 }, "harness|ko_mmlu_abstract_algebra|5": { "acc": 0.28, "acc_stderr": 0.04512608598542127, "acc_norm": 0.28, "acc_norm_stderr": 0.04512608598542127 }, "harness|ko_mmlu_conceptual_physics|5": { "acc": 0.39574468085106385, "acc_stderr": 0.03196758697835362, "acc_norm": 0.39574468085106385, "acc_norm_stderr": 0.03196758697835362 }, "harness|ko_mmlu_virology|5": { "acc": 0.4036144578313253, "acc_stderr": 0.03819486140758397, "acc_norm": 0.4036144578313253, "acc_norm_stderr": 0.03819486140758397 }, "harness|ko_mmlu_philosophy|5": { "acc": 0.42765273311897106, "acc_stderr": 0.028099240775809563, "acc_norm": 0.42765273311897106, "acc_norm_stderr": 0.028099240775809563 }, "harness|ko_mmlu_human_aging|5": { "acc": 0.47085201793721976, "acc_stderr": 0.03350073248773404, "acc_norm": 0.47085201793721976, "acc_norm_stderr": 0.03350073248773404 }, "harness|ko_mmlu_human_sexuality|5": { "acc": 0.45038167938931295, "acc_stderr": 0.04363643698524779, "acc_norm": 0.45038167938931295, "acc_norm_stderr": 0.04363643698524779 }, "harness|ko_mmlu_medical_genetics|5": { "acc": 0.43, "acc_stderr": 0.049756985195624284, "acc_norm": 0.43, "acc_norm_stderr": 0.049756985195624284 }, "harness|ko_mmlu_high_school_geography|5": { "acc": 0.5656565656565656, "acc_stderr": 0.03531505879359182, "acc_norm": 0.5656565656565656, "acc_norm_stderr": 0.03531505879359182 }, "harness|ko_mmlu_electrical_engineering|5": { "acc": 0.42758620689655175, "acc_stderr": 0.04122737111370331, "acc_norm": 0.42758620689655175, "acc_norm_stderr": 0.04122737111370331 }, "harness|ko_mmlu_college_physics|5": { "acc": 0.17647058823529413, "acc_stderr": 0.0379328118530781, "acc_norm": 0.17647058823529413, "acc_norm_stderr": 0.0379328118530781 }, "harness|ko_mmlu_high_school_microeconomics|5": { "acc": 0.4579831932773109, "acc_stderr": 0.03236361111951941, "acc_norm": 0.4579831932773109, "acc_norm_stderr": 0.03236361111951941 }, "harness|ko_mmlu_high_school_macroeconomics|5": { "acc": 0.4461538461538462, "acc_stderr": 0.025203571773028333, "acc_norm": 0.4461538461538462, "acc_norm_stderr": 0.025203571773028333 }, "harness|ko_mmlu_computer_security|5": { "acc": 0.47, "acc_stderr": 0.050161355804659205, "acc_norm": 0.47, "acc_norm_stderr": 0.050161355804659205 }, "harness|ko_mmlu_global_facts|5": { "acc": 0.32, "acc_stderr": 0.04688261722621505, "acc_norm": 0.32, "acc_norm_stderr": 0.04688261722621505 }, "harness|ko_mmlu_jurisprudence|5": { "acc": 0.5, "acc_stderr": 0.04833682445228318, "acc_norm": 0.5, "acc_norm_stderr": 0.04833682445228318 }, "harness|ko_mmlu_high_school_chemistry|5": { "acc": 0.33004926108374383, "acc_stderr": 0.03308530426228258, "acc_norm": 0.33004926108374383, "acc_norm_stderr": 0.03308530426228258 }, "harness|ko_mmlu_high_school_biology|5": { "acc": 0.47419354838709676, "acc_stderr": 0.028406095057653326, "acc_norm": 0.47419354838709676, "acc_norm_stderr": 0.028406095057653326 }, "harness|ko_mmlu_marketing|5": { "acc": 0.6324786324786325, "acc_stderr": 0.031585391577456365, "acc_norm": 0.6324786324786325, "acc_norm_stderr": 0.031585391577456365 }, "harness|ko_mmlu_clinical_knowledge|5": { "acc": 0.4830188679245283, "acc_stderr": 0.030755120364119905, "acc_norm": 0.4830188679245283, "acc_norm_stderr": 0.030755120364119905 }, "harness|ko_mmlu_public_relations|5": { "acc": 0.5, "acc_stderr": 0.04789131426105757, "acc_norm": 0.5, "acc_norm_stderr": 0.04789131426105757 }, "harness|ko_mmlu_high_school_mathematics|5": { "acc": 0.29259259259259257, "acc_stderr": 0.02773896963217609, "acc_norm": 0.29259259259259257, "acc_norm_stderr": 0.02773896963217609 }, "harness|ko_mmlu_high_school_physics|5": { "acc": 0.31788079470198677, "acc_stderr": 0.038020397601079024, "acc_norm": 0.31788079470198677, "acc_norm_stderr": 0.038020397601079024 }, "harness|ko_mmlu_sociology|5": { "acc": 0.5621890547263682, "acc_stderr": 0.0350808011219984, "acc_norm": 0.5621890547263682, "acc_norm_stderr": 0.0350808011219984 }, "harness|ko_mmlu_college_medicine|5": { "acc": 0.37572254335260113, "acc_stderr": 0.036928207672648664, "acc_norm": 0.37572254335260113, "acc_norm_stderr": 0.036928207672648664 }, "harness|ko_mmlu_elementary_mathematics|5": { "acc": 0.3306878306878307, "acc_stderr": 0.024229965298425082, "acc_norm": 0.3306878306878307, "acc_norm_stderr": 0.024229965298425082 }, "harness|ko_mmlu_college_biology|5": { "acc": 0.3680555555555556, "acc_stderr": 0.040329990539607195, "acc_norm": 0.3680555555555556, "acc_norm_stderr": 0.040329990539607195 }, "harness|ko_mmlu_college_chemistry|5": { "acc": 0.27, "acc_stderr": 0.044619604333847394, "acc_norm": 0.27, "acc_norm_stderr": 0.044619604333847394 }, "harness|ko_mmlu_us_foreign_policy|5": { "acc": 0.59, "acc_stderr": 0.04943110704237102, "acc_norm": 0.59, "acc_norm_stderr": 0.04943110704237102 }, "harness|ko_mmlu_moral_disputes|5": { "acc": 0.5086705202312138, "acc_stderr": 0.0269150473553698, "acc_norm": 0.5086705202312138, "acc_norm_stderr": 0.0269150473553698 }, "harness|ko_mmlu_logical_fallacies|5": { "acc": 0.4294478527607362, "acc_stderr": 0.03889066619112723, "acc_norm": 0.4294478527607362, "acc_norm_stderr": 0.03889066619112723 }, "harness|ko_mmlu_prehistory|5": { "acc": 0.4506172839506173, "acc_stderr": 0.027684721415656203, "acc_norm": 0.4506172839506173, "acc_norm_stderr": 0.027684721415656203 }, "harness|ko_mmlu_college_mathematics|5": { "acc": 0.39, "acc_stderr": 0.04902071300001974, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001974 }, "harness|ko_mmlu_high_school_government_and_politics|5": { "acc": 0.5181347150259067, "acc_stderr": 0.036060650018329185, "acc_norm": 0.5181347150259067, "acc_norm_stderr": 0.036060650018329185 }, "harness|ko_mmlu_econometrics|5": { "acc": 0.20175438596491227, "acc_stderr": 0.037752050135836386, "acc_norm": 0.20175438596491227, "acc_norm_stderr": 0.037752050135836386 }, "harness|ko_mmlu_high_school_psychology|5": { "acc": 0.47706422018348627, "acc_stderr": 0.0214147570581755, "acc_norm": 0.47706422018348627, "acc_norm_stderr": 0.0214147570581755 }, "harness|ko_mmlu_formal_logic|5": { "acc": 0.3333333333333333, "acc_stderr": 0.042163702135578345, "acc_norm": 0.3333333333333333, "acc_norm_stderr": 0.042163702135578345 }, "harness|ko_mmlu_nutrition|5": { "acc": 0.4411764705882353, "acc_stderr": 0.02843109544417664, "acc_norm": 0.4411764705882353, "acc_norm_stderr": 0.02843109544417664 }, "harness|ko_mmlu_business_ethics|5": { "acc": 0.39, "acc_stderr": 0.04902071300001975, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001975 }, "harness|ko_mmlu_international_law|5": { "acc": 0.6363636363636364, "acc_stderr": 0.043913262867240704, "acc_norm": 0.6363636363636364, "acc_norm_stderr": 0.043913262867240704 }, "harness|ko_mmlu_astronomy|5": { "acc": 0.3684210526315789, "acc_stderr": 0.03925523381052932, "acc_norm": 0.3684210526315789, "acc_norm_stderr": 0.03925523381052932 }, "harness|ko_mmlu_professional_psychology|5": { "acc": 0.3480392156862745, "acc_stderr": 0.019270998708223977, "acc_norm": 0.3480392156862745, "acc_norm_stderr": 0.019270998708223977 }, "harness|ko_mmlu_professional_accounting|5": { "acc": 0.35106382978723405, "acc_stderr": 0.02847350127296376, "acc_norm": 0.35106382978723405, "acc_norm_stderr": 0.02847350127296376 }, "harness|ko_mmlu_machine_learning|5": { "acc": 0.22321428571428573, "acc_stderr": 0.039523019677025116, "acc_norm": 0.22321428571428573, "acc_norm_stderr": 0.039523019677025116 }, "harness|ko_mmlu_high_school_statistics|5": { "acc": 0.27314814814814814, "acc_stderr": 0.03038805130167812, "acc_norm": 0.27314814814814814, "acc_norm_stderr": 0.03038805130167812 }, "harness|ko_mmlu_moral_scenarios|5": { "acc": 0.3229050279329609, "acc_stderr": 0.01563844038024149, "acc_norm": 0.3229050279329609, "acc_norm_stderr": 0.01563844038024149 }, "harness|ko_mmlu_college_computer_science|5": { "acc": 0.37, "acc_stderr": 0.048523658709391, "acc_norm": 0.37, "acc_norm_stderr": 0.048523658709391 }, "harness|ko_mmlu_high_school_computer_science|5": { "acc": 0.45, "acc_stderr": 0.05, "acc_norm": 0.45, "acc_norm_stderr": 0.05 }, "harness|ko_mmlu_professional_medicine|5": { "acc": 0.3492647058823529, "acc_stderr": 0.02895975519682486, "acc_norm": 0.3492647058823529, "acc_norm_stderr": 0.02895975519682486 }, "harness|ko_mmlu_security_studies|5": { "acc": 0.5265306122448979, "acc_stderr": 0.03196412734523272, "acc_norm": 0.5265306122448979, "acc_norm_stderr": 0.03196412734523272 }, "harness|ko_mmlu_high_school_world_history|5": { "acc": 0.569620253164557, "acc_stderr": 0.03223017195937599, "acc_norm": 0.569620253164557, "acc_norm_stderr": 0.03223017195937599 }, "harness|ko_mmlu_professional_law|5": { "acc": 0.32529335071707954, "acc_stderr": 0.011965311536571531, "acc_norm": 0.32529335071707954, "acc_norm_stderr": 0.011965311536571531 }, "harness|ko_mmlu_high_school_us_history|5": { "acc": 0.4803921568627451, "acc_stderr": 0.03506612560524866, "acc_norm": 0.4803921568627451, "acc_norm_stderr": 0.03506612560524866 }, "harness|ko_mmlu_high_school_european_history|5": { "acc": 0.48484848484848486, "acc_stderr": 0.03902551007374449, "acc_norm": 0.48484848484848486, "acc_norm_stderr": 0.03902551007374449 }, "harness|ko_truthfulqa_mc|0": { "mc1": 0.35128518971848227, "mc1_stderr": 0.0167113581635444, "mc2": 0.5184394133098864, "mc2_stderr": 0.01600771387375644 }, "harness|ko_commongen_v2|2": { "acc": 0.40613931523022434, "acc_stderr": 0.016884749503191385, "acc_norm": 0.41440377804014167, "acc_norm_stderr": 0.01693658338394363 } }, "versions": { "all": 0, "harness|ko_arc_challenge|25": 0, "harness|ko_hellaswag|10": 0, "harness|ko_mmlu_world_religions|5": 1, "harness|ko_mmlu_management|5": 1, "harness|ko_mmlu_miscellaneous|5": 1, "harness|ko_mmlu_anatomy|5": 1, "harness|ko_mmlu_abstract_algebra|5": 1, "harness|ko_mmlu_conceptual_physics|5": 1, "harness|ko_mmlu_virology|5": 1, "harness|ko_mmlu_philosophy|5": 1, "harness|ko_mmlu_human_aging|5": 1, "harness|ko_mmlu_human_sexuality|5": 1, "harness|ko_mmlu_medical_genetics|5": 1, "harness|ko_mmlu_high_school_geography|5": 1, "harness|ko_mmlu_electrical_engineering|5": 1, "harness|ko_mmlu_college_physics|5": 1, "harness|ko_mmlu_high_school_microeconomics|5": 1, "harness|ko_mmlu_high_school_macroeconomics|5": 1, "harness|ko_mmlu_computer_security|5": 1, "harness|ko_mmlu_global_facts|5": 1, "harness|ko_mmlu_jurisprudence|5": 1, "harness|ko_mmlu_high_school_chemistry|5": 1, "harness|ko_mmlu_high_school_biology|5": 1, "harness|ko_mmlu_marketing|5": 1, "harness|ko_mmlu_clinical_knowledge|5": 1, "harness|ko_mmlu_public_relations|5": 1, "harness|ko_mmlu_high_school_mathematics|5": 1, "harness|ko_mmlu_high_school_physics|5": 1, "harness|ko_mmlu_sociology|5": 1, "harness|ko_mmlu_college_medicine|5": 1, "harness|ko_mmlu_elementary_mathematics|5": 1, "harness|ko_mmlu_college_biology|5": 1, "harness|ko_mmlu_college_chemistry|5": 1, "harness|ko_mmlu_us_foreign_policy|5": 1, "harness|ko_mmlu_moral_disputes|5": 1, "harness|ko_mmlu_logical_fallacies|5": 1, "harness|ko_mmlu_prehistory|5": 1, "harness|ko_mmlu_college_mathematics|5": 1, "harness|ko_mmlu_high_school_government_and_politics|5": 1, "harness|ko_mmlu_econometrics|5": 1, "harness|ko_mmlu_high_school_psychology|5": 1, "harness|ko_mmlu_formal_logic|5": 1, "harness|ko_mmlu_nutrition|5": 1, "harness|ko_mmlu_business_ethics|5": 1, "harness|ko_mmlu_international_law|5": 1, "harness|ko_mmlu_astronomy|5": 1, "harness|ko_mmlu_professional_psychology|5": 1, "harness|ko_mmlu_professional_accounting|5": 1, "harness|ko_mmlu_machine_learning|5": 1, "harness|ko_mmlu_high_school_statistics|5": 1, "harness|ko_mmlu_moral_scenarios|5": 1, "harness|ko_mmlu_college_computer_science|5": 1, "harness|ko_mmlu_high_school_computer_science|5": 1, "harness|ko_mmlu_professional_medicine|5": 1, "harness|ko_mmlu_security_studies|5": 1, "harness|ko_mmlu_high_school_world_history|5": 1, "harness|ko_mmlu_professional_law|5": 1, "harness|ko_mmlu_high_school_us_history|5": 1, "harness|ko_mmlu_high_school_european_history|5": 1, "harness|ko_truthfulqa_mc|0": 0, "harness|ko_commongen_v2|2": 1 }, "config_general": { "model_name": "oh-yeontaek/llama-2-13B-LoRA-assemble", "model_sha": "85bb49d333dba4a08b051418663d16853ce30cee", "model_dtype": "torch.float16", "lighteval_sha": "", "num_few_shot_default": 0, "num_fewshot_seeds": 1, "override_batch_size": 1, "max_samples": null } }