{ "results": { "harness|ko_arc_challenge|25": { "acc": 0.5819112627986348, "acc_stderr": 0.014413988396996083, "acc_norm": 0.6757679180887372, "acc_norm_stderr": 0.01367881039951882 }, "harness|ko_hellaswag|10": { "acc": 0.3521210914160526, "acc_stderr": 0.0047665533369174885, "acc_norm": 0.49133638717386974, "acc_norm_stderr": 0.004989032307320729 }, "harness|ko_mmlu_world_religions|5": { "acc": 0.5906432748538012, "acc_stderr": 0.037712831076265434, "acc_norm": 0.5906432748538012, "acc_norm_stderr": 0.037712831076265434 }, "harness|ko_mmlu_management|5": { "acc": 0.5922330097087378, "acc_stderr": 0.048657775704107696, "acc_norm": 0.5922330097087378, "acc_norm_stderr": 0.048657775704107696 }, "harness|ko_mmlu_miscellaneous|5": { "acc": 0.6500638569604087, "acc_stderr": 0.01705567979715043, "acc_norm": 0.6500638569604087, "acc_norm_stderr": 0.01705567979715043 }, "harness|ko_mmlu_anatomy|5": { "acc": 0.45925925925925926, "acc_stderr": 0.04304979692464243, "acc_norm": 0.45925925925925926, "acc_norm_stderr": 0.04304979692464243 }, "harness|ko_mmlu_abstract_algebra|5": { "acc": 0.4, "acc_stderr": 0.04923659639173309, "acc_norm": 0.4, "acc_norm_stderr": 0.04923659639173309 }, "harness|ko_mmlu_conceptual_physics|5": { "acc": 0.48936170212765956, "acc_stderr": 0.03267862331014063, "acc_norm": 0.48936170212765956, "acc_norm_stderr": 0.03267862331014063 }, "harness|ko_mmlu_virology|5": { "acc": 0.5542168674698795, "acc_stderr": 0.03869543323472101, "acc_norm": 0.5542168674698795, "acc_norm_stderr": 0.03869543323472101 }, "harness|ko_mmlu_philosophy|5": { "acc": 0.572347266881029, "acc_stderr": 0.028099240775809574, "acc_norm": 0.572347266881029, "acc_norm_stderr": 0.028099240775809574 }, "harness|ko_mmlu_human_aging|5": { "acc": 0.5964125560538116, "acc_stderr": 0.03292802819330313, "acc_norm": 0.5964125560538116, "acc_norm_stderr": 0.03292802819330313 }, "harness|ko_mmlu_human_sexuality|5": { "acc": 0.5267175572519084, "acc_stderr": 0.04379024936553894, "acc_norm": 0.5267175572519084, "acc_norm_stderr": 0.04379024936553894 }, "harness|ko_mmlu_medical_genetics|5": { "acc": 0.52, "acc_stderr": 0.050211673156867795, "acc_norm": 0.52, "acc_norm_stderr": 0.050211673156867795 }, "harness|ko_mmlu_high_school_geography|5": { "acc": 0.6161616161616161, "acc_stderr": 0.03464881675016338, "acc_norm": 0.6161616161616161, "acc_norm_stderr": 0.03464881675016338 }, "harness|ko_mmlu_electrical_engineering|5": { "acc": 0.5379310344827586, "acc_stderr": 0.04154659671707548, "acc_norm": 0.5379310344827586, "acc_norm_stderr": 0.04154659671707548 }, "harness|ko_mmlu_college_physics|5": { "acc": 0.3333333333333333, "acc_stderr": 0.04690650298201943, "acc_norm": 0.3333333333333333, "acc_norm_stderr": 0.04690650298201943 }, "harness|ko_mmlu_high_school_microeconomics|5": { "acc": 0.5504201680672269, "acc_stderr": 0.03231293497137707, "acc_norm": 0.5504201680672269, "acc_norm_stderr": 0.03231293497137707 }, "harness|ko_mmlu_high_school_macroeconomics|5": { "acc": 0.5282051282051282, "acc_stderr": 0.02531063925493386, "acc_norm": 0.5282051282051282, "acc_norm_stderr": 0.02531063925493386 }, "harness|ko_mmlu_computer_security|5": { "acc": 0.61, "acc_stderr": 0.04902071300001975, "acc_norm": 0.61, "acc_norm_stderr": 0.04902071300001975 }, "harness|ko_mmlu_global_facts|5": { "acc": 0.36, "acc_stderr": 0.04824181513244218, "acc_norm": 0.36, "acc_norm_stderr": 0.04824181513244218 }, "harness|ko_mmlu_jurisprudence|5": { "acc": 0.5555555555555556, "acc_stderr": 0.04803752235190193, "acc_norm": 0.5555555555555556, "acc_norm_stderr": 0.04803752235190193 }, "harness|ko_mmlu_high_school_chemistry|5": { "acc": 0.458128078817734, "acc_stderr": 0.03505630140785741, "acc_norm": 0.458128078817734, "acc_norm_stderr": 0.03505630140785741 }, "harness|ko_mmlu_high_school_biology|5": { "acc": 0.5516129032258065, "acc_stderr": 0.02829205683011273, "acc_norm": 0.5516129032258065, "acc_norm_stderr": 0.02829205683011273 }, "harness|ko_mmlu_marketing|5": { "acc": 0.7478632478632479, "acc_stderr": 0.02844796547623102, "acc_norm": 0.7478632478632479, "acc_norm_stderr": 0.02844796547623102 }, "harness|ko_mmlu_clinical_knowledge|5": { "acc": 0.5320754716981132, "acc_stderr": 0.03070948699255654, "acc_norm": 0.5320754716981132, "acc_norm_stderr": 0.03070948699255654 }, "harness|ko_mmlu_public_relations|5": { "acc": 0.6090909090909091, "acc_stderr": 0.04673752333670239, "acc_norm": 0.6090909090909091, "acc_norm_stderr": 0.04673752333670239 }, "harness|ko_mmlu_high_school_mathematics|5": { "acc": 0.3592592592592593, "acc_stderr": 0.02925290592725198, "acc_norm": 0.3592592592592593, "acc_norm_stderr": 0.02925290592725198 }, "harness|ko_mmlu_high_school_physics|5": { "acc": 0.37748344370860926, "acc_stderr": 0.0395802723112157, "acc_norm": 0.37748344370860926, "acc_norm_stderr": 0.0395802723112157 }, "harness|ko_mmlu_sociology|5": { "acc": 0.681592039800995, "acc_stderr": 0.03294118479054095, "acc_norm": 0.681592039800995, "acc_norm_stderr": 0.03294118479054095 }, "harness|ko_mmlu_college_medicine|5": { "acc": 0.5375722543352601, "acc_stderr": 0.0380168510452446, "acc_norm": 0.5375722543352601, "acc_norm_stderr": 0.0380168510452446 }, "harness|ko_mmlu_elementary_mathematics|5": { "acc": 0.3888888888888889, "acc_stderr": 0.02510742548113728, "acc_norm": 0.3888888888888889, "acc_norm_stderr": 0.02510742548113728 }, "harness|ko_mmlu_college_biology|5": { "acc": 0.4652777777777778, "acc_stderr": 0.04171115858181618, "acc_norm": 0.4652777777777778, "acc_norm_stderr": 0.04171115858181618 }, "harness|ko_mmlu_college_chemistry|5": { "acc": 0.49, "acc_stderr": 0.05024183937956912, "acc_norm": 0.49, "acc_norm_stderr": 0.05024183937956912 }, "harness|ko_mmlu_us_foreign_policy|5": { "acc": 0.74, "acc_stderr": 0.04408440022768078, "acc_norm": 0.74, "acc_norm_stderr": 0.04408440022768078 }, "harness|ko_mmlu_moral_disputes|5": { "acc": 0.5346820809248555, "acc_stderr": 0.026854257928258893, "acc_norm": 0.5346820809248555, "acc_norm_stderr": 0.026854257928258893 }, "harness|ko_mmlu_logical_fallacies|5": { "acc": 0.5766871165644172, "acc_stderr": 0.03881891213334384, "acc_norm": 0.5766871165644172, "acc_norm_stderr": 0.03881891213334384 }, "harness|ko_mmlu_prehistory|5": { "acc": 0.5987654320987654, "acc_stderr": 0.027272582849839806, "acc_norm": 0.5987654320987654, "acc_norm_stderr": 0.027272582849839806 }, "harness|ko_mmlu_college_mathematics|5": { "acc": 0.37, "acc_stderr": 0.04852365870939099, "acc_norm": 0.37, "acc_norm_stderr": 0.04852365870939099 }, "harness|ko_mmlu_high_school_government_and_politics|5": { "acc": 0.6580310880829016, "acc_stderr": 0.03423465100104283, "acc_norm": 0.6580310880829016, "acc_norm_stderr": 0.03423465100104283 }, "harness|ko_mmlu_econometrics|5": { "acc": 0.37719298245614036, "acc_stderr": 0.04559522141958215, "acc_norm": 0.37719298245614036, "acc_norm_stderr": 0.04559522141958215 }, "harness|ko_mmlu_high_school_psychology|5": { "acc": 0.6954128440366972, "acc_stderr": 0.01973229942035404, "acc_norm": 0.6954128440366972, "acc_norm_stderr": 0.01973229942035404 }, "harness|ko_mmlu_formal_logic|5": { "acc": 0.373015873015873, "acc_stderr": 0.04325506042017086, "acc_norm": 0.373015873015873, "acc_norm_stderr": 0.04325506042017086 }, "harness|ko_mmlu_nutrition|5": { "acc": 0.5522875816993464, "acc_stderr": 0.028472938478033522, "acc_norm": 0.5522875816993464, "acc_norm_stderr": 0.028472938478033522 }, "harness|ko_mmlu_business_ethics|5": { "acc": 0.57, "acc_stderr": 0.04975698519562428, "acc_norm": 0.57, "acc_norm_stderr": 0.04975698519562428 }, "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": 0.5131578947368421, "acc_stderr": 0.04067533136309172, "acc_norm": 0.5131578947368421, "acc_norm_stderr": 0.04067533136309172 }, "harness|ko_mmlu_professional_psychology|5": { "acc": 0.5081699346405228, "acc_stderr": 0.02022513434305727, "acc_norm": 0.5081699346405228, "acc_norm_stderr": 0.02022513434305727 }, "harness|ko_mmlu_professional_accounting|5": { "acc": 0.4148936170212766, "acc_stderr": 0.0293922365846125, "acc_norm": 0.4148936170212766, "acc_norm_stderr": 0.0293922365846125 }, "harness|ko_mmlu_machine_learning|5": { "acc": 0.35714285714285715, "acc_stderr": 0.04547960999764376, "acc_norm": 0.35714285714285715, "acc_norm_stderr": 0.04547960999764376 }, "harness|ko_mmlu_high_school_statistics|5": { "acc": 0.44907407407407407, "acc_stderr": 0.03392238405321617, "acc_norm": 0.44907407407407407, "acc_norm_stderr": 0.03392238405321617 }, "harness|ko_mmlu_moral_scenarios|5": { "acc": 0.28938547486033517, "acc_stderr": 0.015166544550490303, "acc_norm": 0.28938547486033517, "acc_norm_stderr": 0.015166544550490303 }, "harness|ko_mmlu_college_computer_science|5": { "acc": 0.45, "acc_stderr": 0.05, "acc_norm": 0.45, "acc_norm_stderr": 0.05 }, "harness|ko_mmlu_high_school_computer_science|5": { "acc": 0.59, "acc_stderr": 0.049431107042371025, "acc_norm": 0.59, "acc_norm_stderr": 0.049431107042371025 }, "harness|ko_mmlu_professional_medicine|5": { "acc": 0.5294117647058824, "acc_stderr": 0.030320243265004123, "acc_norm": 0.5294117647058824, "acc_norm_stderr": 0.030320243265004123 }, "harness|ko_mmlu_security_studies|5": { "acc": 0.5714285714285714, "acc_stderr": 0.03168091161233882, "acc_norm": 0.5714285714285714, "acc_norm_stderr": 0.03168091161233882 }, "harness|ko_mmlu_high_school_world_history|5": { "acc": 0.6075949367088608, "acc_stderr": 0.0317847187456473, "acc_norm": 0.6075949367088608, "acc_norm_stderr": 0.0317847187456473 }, "harness|ko_mmlu_professional_law|5": { "acc": 0.4048239895697523, "acc_stderr": 0.012536743830953977, "acc_norm": 0.4048239895697523, "acc_norm_stderr": 0.012536743830953977 }, "harness|ko_mmlu_high_school_us_history|5": { "acc": 0.5196078431372549, "acc_stderr": 0.03506612560524866, "acc_norm": 0.5196078431372549, "acc_norm_stderr": 0.03506612560524866 }, "harness|ko_mmlu_high_school_european_history|5": { "acc": 0.5333333333333333, "acc_stderr": 0.03895658065271847, "acc_norm": 0.5333333333333333, "acc_norm_stderr": 0.03895658065271847 }, "harness|ko_truthfulqa_mc|0": { "mc1": 0.46266829865361075, "mc1_stderr": 0.017454645150970588, "mc2": 0.6141257090429322, "mc2_stderr": 0.015748348539901636 }, "harness|ko_commongen_v2|2": { "acc": 0.24321133412042503, "acc_stderr": 0.014750068360453278, "acc_norm": 0.32231404958677684, "acc_norm_stderr": 0.016068253615813953 } }, "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": "Deepnoid/DND-v0.0-e1", "model_sha": "3d2a1d996a2c9b03847d95fa67476aaf2e11a17a", "model_dtype": "torch.float16", "lighteval_sha": "", "num_few_shot_default": 0, "num_fewshot_seeds": 1, "override_batch_size": 1, "max_samples": null } }