{ "results": { "harness|ko_arc_challenge|25": { "acc": 0.3984641638225256, "acc_stderr": 0.014306946052735563, "acc_norm": 0.4616040955631399, "acc_norm_stderr": 0.01456824555029636 }, "harness|ko_hellaswag|10": { "acc": 0.42162915753833896, "acc_stderr": 0.004928105880776079, "acc_norm": 0.5677155945030871, "acc_norm_stderr": 0.004943809330692697 }, "harness|ko_mmlu_world_religions|5": { "acc": 0.5555555555555556, "acc_stderr": 0.038110796698335316, "acc_norm": 0.5555555555555556, "acc_norm_stderr": 0.038110796698335316 }, "harness|ko_mmlu_management|5": { "acc": 0.5436893203883495, "acc_stderr": 0.049318019942204146, "acc_norm": 0.5436893203883495, "acc_norm_stderr": 0.049318019942204146 }, "harness|ko_mmlu_miscellaneous|5": { "acc": 0.5491698595146871, "acc_stderr": 0.01779329757269903, "acc_norm": 0.5491698595146871, "acc_norm_stderr": 0.01779329757269903 }, "harness|ko_mmlu_anatomy|5": { "acc": 0.5037037037037037, "acc_stderr": 0.043192236258113324, "acc_norm": 0.5037037037037037, "acc_norm_stderr": 0.043192236258113324 }, "harness|ko_mmlu_abstract_algebra|5": { "acc": 0.28, "acc_stderr": 0.045126085985421255, "acc_norm": 0.28, "acc_norm_stderr": 0.045126085985421255 }, "harness|ko_mmlu_conceptual_physics|5": { "acc": 0.3574468085106383, "acc_stderr": 0.03132941789476425, "acc_norm": 0.3574468085106383, "acc_norm_stderr": 0.03132941789476425 }, "harness|ko_mmlu_virology|5": { "acc": 0.3855421686746988, "acc_stderr": 0.03789134424611548, "acc_norm": 0.3855421686746988, "acc_norm_stderr": 0.03789134424611548 }, "harness|ko_mmlu_philosophy|5": { "acc": 0.48231511254019294, "acc_stderr": 0.02838032284907713, "acc_norm": 0.48231511254019294, "acc_norm_stderr": 0.02838032284907713 }, "harness|ko_mmlu_human_aging|5": { "acc": 0.47533632286995514, "acc_stderr": 0.03351695167652628, "acc_norm": 0.47533632286995514, "acc_norm_stderr": 0.03351695167652628 }, "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": 0.42, "acc_stderr": 0.049604496374885836, "acc_norm": 0.42, "acc_norm_stderr": 0.049604496374885836 }, "harness|ko_mmlu_high_school_geography|5": { "acc": 0.5555555555555556, "acc_stderr": 0.035402943770953675, "acc_norm": 0.5555555555555556, "acc_norm_stderr": 0.035402943770953675 }, "harness|ko_mmlu_electrical_engineering|5": { "acc": 0.3793103448275862, "acc_stderr": 0.04043461861916748, "acc_norm": 0.3793103448275862, "acc_norm_stderr": 0.04043461861916748 }, "harness|ko_mmlu_college_physics|5": { "acc": 0.17647058823529413, "acc_stderr": 0.03793281185307811, "acc_norm": 0.17647058823529413, "acc_norm_stderr": 0.03793281185307811 }, "harness|ko_mmlu_high_school_microeconomics|5": { "acc": 0.4369747899159664, "acc_stderr": 0.03221943636566196, "acc_norm": 0.4369747899159664, "acc_norm_stderr": 0.03221943636566196 }, "harness|ko_mmlu_high_school_macroeconomics|5": { "acc": 0.4205128205128205, "acc_stderr": 0.025028610276710855, "acc_norm": 0.4205128205128205, "acc_norm_stderr": 0.025028610276710855 }, "harness|ko_mmlu_computer_security|5": { "acc": 0.52, "acc_stderr": 0.050211673156867795, "acc_norm": 0.52, "acc_norm_stderr": 0.050211673156867795 }, "harness|ko_mmlu_global_facts|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness|ko_mmlu_jurisprudence|5": { "acc": 0.48148148148148145, "acc_stderr": 0.04830366024635331, "acc_norm": 0.48148148148148145, "acc_norm_stderr": 0.04830366024635331 }, "harness|ko_mmlu_high_school_chemistry|5": { "acc": 0.35960591133004927, "acc_stderr": 0.033764582465095665, "acc_norm": 0.35960591133004927, "acc_norm_stderr": 0.033764582465095665 }, "harness|ko_mmlu_high_school_biology|5": { "acc": 0.42258064516129035, "acc_stderr": 0.02810096472427264, "acc_norm": 0.42258064516129035, "acc_norm_stderr": 0.02810096472427264 }, "harness|ko_mmlu_marketing|5": { "acc": 0.5982905982905983, "acc_stderr": 0.03211693751051622, "acc_norm": 0.5982905982905983, "acc_norm_stderr": 0.03211693751051622 }, "harness|ko_mmlu_clinical_knowledge|5": { "acc": 0.4188679245283019, "acc_stderr": 0.030365050829115208, "acc_norm": 0.4188679245283019, "acc_norm_stderr": 0.030365050829115208 }, "harness|ko_mmlu_public_relations|5": { "acc": 0.4727272727272727, "acc_stderr": 0.04782001791380063, "acc_norm": 0.4727272727272727, "acc_norm_stderr": 0.04782001791380063 }, "harness|ko_mmlu_high_school_mathematics|5": { "acc": 0.26296296296296295, "acc_stderr": 0.02684205787383371, "acc_norm": 0.26296296296296295, "acc_norm_stderr": 0.02684205787383371 }, "harness|ko_mmlu_high_school_physics|5": { "acc": 0.33112582781456956, "acc_stderr": 0.038425817186598696, "acc_norm": 0.33112582781456956, "acc_norm_stderr": 0.038425817186598696 }, "harness|ko_mmlu_sociology|5": { "acc": 0.5024875621890548, "acc_stderr": 0.03535490150137289, "acc_norm": 0.5024875621890548, "acc_norm_stderr": 0.03535490150137289 }, "harness|ko_mmlu_college_medicine|5": { "acc": 0.4508670520231214, "acc_stderr": 0.037940126746970296, "acc_norm": 0.4508670520231214, "acc_norm_stderr": 0.037940126746970296 }, "harness|ko_mmlu_elementary_mathematics|5": { "acc": 0.291005291005291, "acc_stderr": 0.023393826500484875, "acc_norm": 0.291005291005291, "acc_norm_stderr": 0.023393826500484875 }, "harness|ko_mmlu_college_biology|5": { "acc": 0.3541666666666667, "acc_stderr": 0.039994111357535424, "acc_norm": 0.3541666666666667, "acc_norm_stderr": 0.039994111357535424 }, "harness|ko_mmlu_college_chemistry|5": { "acc": 0.22, "acc_stderr": 0.04163331998932269, "acc_norm": 0.22, "acc_norm_stderr": 0.04163331998932269 }, "harness|ko_mmlu_us_foreign_policy|5": { "acc": 0.62, "acc_stderr": 0.048783173121456344, "acc_norm": 0.62, "acc_norm_stderr": 0.048783173121456344 }, "harness|ko_mmlu_moral_disputes|5": { "acc": 0.5, "acc_stderr": 0.026919095102908273, "acc_norm": 0.5, "acc_norm_stderr": 0.026919095102908273 }, "harness|ko_mmlu_logical_fallacies|5": { "acc": 0.5153374233128835, "acc_stderr": 0.03926522378708843, "acc_norm": 0.5153374233128835, "acc_norm_stderr": 0.03926522378708843 }, "harness|ko_mmlu_prehistory|5": { "acc": 0.5, "acc_stderr": 0.02782074420373286, "acc_norm": 0.5, "acc_norm_stderr": 0.02782074420373286 }, "harness|ko_mmlu_college_mathematics|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness|ko_mmlu_high_school_government_and_politics|5": { "acc": 0.5181347150259067, "acc_stderr": 0.03606065001832919, "acc_norm": 0.5181347150259067, "acc_norm_stderr": 0.03606065001832919 }, "harness|ko_mmlu_econometrics|5": { "acc": 0.2894736842105263, "acc_stderr": 0.04266339443159394, "acc_norm": 0.2894736842105263, "acc_norm_stderr": 0.04266339443159394 }, "harness|ko_mmlu_high_school_psychology|5": { "acc": 0.5431192660550459, "acc_stderr": 0.021357458785226224, "acc_norm": 0.5431192660550459, "acc_norm_stderr": 0.021357458785226224 }, "harness|ko_mmlu_formal_logic|5": { "acc": 0.30158730158730157, "acc_stderr": 0.04104947269903394, "acc_norm": 0.30158730158730157, "acc_norm_stderr": 0.04104947269903394 }, "harness|ko_mmlu_nutrition|5": { "acc": 0.3954248366013072, "acc_stderr": 0.02799672318063145, "acc_norm": 0.3954248366013072, "acc_norm_stderr": 0.02799672318063145 }, "harness|ko_mmlu_business_ethics|5": { "acc": 0.44, "acc_stderr": 0.04988876515698589, "acc_norm": 0.44, "acc_norm_stderr": 0.04988876515698589 }, "harness|ko_mmlu_international_law|5": { "acc": 0.6198347107438017, "acc_stderr": 0.04431324501968431, "acc_norm": 0.6198347107438017, "acc_norm_stderr": 0.04431324501968431 }, "harness|ko_mmlu_astronomy|5": { "acc": 0.42105263157894735, "acc_stderr": 0.04017901275981748, "acc_norm": 0.42105263157894735, "acc_norm_stderr": 0.04017901275981748 }, "harness|ko_mmlu_professional_psychology|5": { "acc": 0.3937908496732026, "acc_stderr": 0.01976621199107307, "acc_norm": 0.3937908496732026, "acc_norm_stderr": 0.01976621199107307 }, "harness|ko_mmlu_professional_accounting|5": { "acc": 0.3404255319148936, "acc_stderr": 0.02826765748265015, "acc_norm": 0.3404255319148936, "acc_norm_stderr": 0.02826765748265015 }, "harness|ko_mmlu_machine_learning|5": { "acc": 0.2767857142857143, "acc_stderr": 0.04246624336697624, "acc_norm": 0.2767857142857143, "acc_norm_stderr": 0.04246624336697624 }, "harness|ko_mmlu_high_school_statistics|5": { "acc": 0.41203703703703703, "acc_stderr": 0.03356787758160835, "acc_norm": 0.41203703703703703, "acc_norm_stderr": 0.03356787758160835 }, "harness|ko_mmlu_moral_scenarios|5": { "acc": 0.29497206703910617, "acc_stderr": 0.015251931579208185, "acc_norm": 0.29497206703910617, "acc_norm_stderr": 0.015251931579208185 }, "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": 0.44, "acc_stderr": 0.04988876515698589, "acc_norm": 0.44, "acc_norm_stderr": 0.04988876515698589 }, "harness|ko_mmlu_professional_medicine|5": { "acc": 0.3860294117647059, "acc_stderr": 0.029573269134411124, "acc_norm": 0.3860294117647059, "acc_norm_stderr": 0.029573269134411124 }, "harness|ko_mmlu_security_studies|5": { "acc": 0.46938775510204084, "acc_stderr": 0.031949171367580624, "acc_norm": 0.46938775510204084, "acc_norm_stderr": 0.031949171367580624 }, "harness|ko_mmlu_high_school_world_history|5": { "acc": 0.6919831223628692, "acc_stderr": 0.030052389335605695, "acc_norm": 0.6919831223628692, "acc_norm_stderr": 0.030052389335605695 }, "harness|ko_mmlu_professional_law|5": { "acc": 0.3683181225554107, "acc_stderr": 0.012319403369564639, "acc_norm": 0.3683181225554107, "acc_norm_stderr": 0.012319403369564639 }, "harness|ko_mmlu_high_school_us_history|5": { "acc": 0.5245098039215687, "acc_stderr": 0.03505093194348798, "acc_norm": 0.5245098039215687, "acc_norm_stderr": 0.03505093194348798 }, "harness|ko_mmlu_high_school_european_history|5": { "acc": 0.5757575757575758, "acc_stderr": 0.03859268142070262, "acc_norm": 0.5757575757575758, "acc_norm_stderr": 0.03859268142070262 }, "harness|ko_truthfulqa_mc|0": { "mc1": 0.2962056303549572, "mc1_stderr": 0.015983595101811392, "mc2": 0.458694749783158, "mc2_stderr": 0.015135220490705375 }, "harness|ko_commongen_v2|2": { "acc": 0.45336481700118064, "acc_stderr": 0.017115418225226862, "acc_norm": 0.564344746162928, "acc_norm_stderr": 0.017047415229476313 } }, "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": "42MARU/GenAI-llama2-ko-en-instruct-20B-v1", "model_sha": "4de05113ecc02aa2da28893d8e2827912ebe0d20", "model_dtype": "torch.float16", "lighteval_sha": "", "num_few_shot_default": 0, "num_fewshot_seeds": 1, "override_batch_size": 1, "max_samples": null } }