Sean Cho
test data
ec0015a
{
"results": {
"harness|ko_arc_challenge|25": {
"acc": 0.3506825938566553,
"acc_stderr": 0.013944635930726085,
"acc_norm": 0.3993174061433447,
"acc_norm_stderr": 0.014312094557946704
},
"harness|ko_hellaswag|10": {
"acc": 0.38099980083648677,
"acc_stderr": 0.004846400325585238,
"acc_norm": 0.485062736506672,
"acc_norm_stderr": 0.004987554255981858
},
"harness|ko_mmlu_world_religions|5": {
"acc": 0.4678362573099415,
"acc_stderr": 0.03826882417660368,
"acc_norm": 0.4678362573099415,
"acc_norm_stderr": 0.03826882417660368
},
"harness|ko_mmlu_management|5": {
"acc": 0.5339805825242718,
"acc_stderr": 0.04939291447273481,
"acc_norm": 0.5339805825242718,
"acc_norm_stderr": 0.04939291447273481
},
"harness|ko_mmlu_miscellaneous|5": {
"acc": 0.44316730523627074,
"acc_stderr": 0.01776408503534839,
"acc_norm": 0.44316730523627074,
"acc_norm_stderr": 0.01776408503534839
},
"harness|ko_mmlu_anatomy|5": {
"acc": 0.362962962962963,
"acc_stderr": 0.04153948404742399,
"acc_norm": 0.362962962962963,
"acc_norm_stderr": 0.04153948404742399
},
"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": 0.4127659574468085,
"acc_stderr": 0.03218471141400351,
"acc_norm": 0.4127659574468085,
"acc_norm_stderr": 0.03218471141400351
},
"harness|ko_mmlu_virology|5": {
"acc": 0.4457831325301205,
"acc_stderr": 0.03869543323472101,
"acc_norm": 0.4457831325301205,
"acc_norm_stderr": 0.03869543323472101
},
"harness|ko_mmlu_philosophy|5": {
"acc": 0.45016077170418006,
"acc_stderr": 0.02825666072336018,
"acc_norm": 0.45016077170418006,
"acc_norm_stderr": 0.02825666072336018
},
"harness|ko_mmlu_human_aging|5": {
"acc": 0.4125560538116592,
"acc_stderr": 0.03304062175449296,
"acc_norm": 0.4125560538116592,
"acc_norm_stderr": 0.03304062175449296
},
"harness|ko_mmlu_human_sexuality|5": {
"acc": 0.46564885496183206,
"acc_stderr": 0.043749285605997376,
"acc_norm": 0.46564885496183206,
"acc_norm_stderr": 0.043749285605997376
},
"harness|ko_mmlu_medical_genetics|5": {
"acc": 0.34,
"acc_stderr": 0.04760952285695236,
"acc_norm": 0.34,
"acc_norm_stderr": 0.04760952285695236
},
"harness|ko_mmlu_high_school_geography|5": {
"acc": 0.48484848484848486,
"acc_stderr": 0.03560716516531061,
"acc_norm": 0.48484848484848486,
"acc_norm_stderr": 0.03560716516531061
},
"harness|ko_mmlu_electrical_engineering|5": {
"acc": 0.4482758620689655,
"acc_stderr": 0.04144311810878151,
"acc_norm": 0.4482758620689655,
"acc_norm_stderr": 0.04144311810878151
},
"harness|ko_mmlu_college_physics|5": {
"acc": 0.2647058823529412,
"acc_stderr": 0.0438986995680878,
"acc_norm": 0.2647058823529412,
"acc_norm_stderr": 0.0438986995680878
},
"harness|ko_mmlu_high_school_microeconomics|5": {
"acc": 0.4411764705882353,
"acc_stderr": 0.032252942323996406,
"acc_norm": 0.4411764705882353,
"acc_norm_stderr": 0.032252942323996406
},
"harness|ko_mmlu_high_school_macroeconomics|5": {
"acc": 0.4230769230769231,
"acc_stderr": 0.025049197876042335,
"acc_norm": 0.4230769230769231,
"acc_norm_stderr": 0.025049197876042335
},
"harness|ko_mmlu_computer_security|5": {
"acc": 0.57,
"acc_stderr": 0.0497569851956243,
"acc_norm": 0.57,
"acc_norm_stderr": 0.0497569851956243
},
"harness|ko_mmlu_global_facts|5": {
"acc": 0.3,
"acc_stderr": 0.046056618647183814,
"acc_norm": 0.3,
"acc_norm_stderr": 0.046056618647183814
},
"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": 0.3793103448275862,
"acc_stderr": 0.03413963805906235,
"acc_norm": 0.3793103448275862,
"acc_norm_stderr": 0.03413963805906235
},
"harness|ko_mmlu_high_school_biology|5": {
"acc": 0.46774193548387094,
"acc_stderr": 0.028384747788813326,
"acc_norm": 0.46774193548387094,
"acc_norm_stderr": 0.028384747788813326
},
"harness|ko_mmlu_marketing|5": {
"acc": 0.7435897435897436,
"acc_stderr": 0.028605953702004253,
"acc_norm": 0.7435897435897436,
"acc_norm_stderr": 0.028605953702004253
},
"harness|ko_mmlu_clinical_knowledge|5": {
"acc": 0.45660377358490567,
"acc_stderr": 0.030656748696739428,
"acc_norm": 0.45660377358490567,
"acc_norm_stderr": 0.030656748696739428
},
"harness|ko_mmlu_public_relations|5": {
"acc": 0.4636363636363636,
"acc_stderr": 0.047764491623961985,
"acc_norm": 0.4636363636363636,
"acc_norm_stderr": 0.047764491623961985
},
"harness|ko_mmlu_high_school_mathematics|5": {
"acc": 0.3333333333333333,
"acc_stderr": 0.028742040903948492,
"acc_norm": 0.3333333333333333,
"acc_norm_stderr": 0.028742040903948492
},
"harness|ko_mmlu_high_school_physics|5": {
"acc": 0.2582781456953642,
"acc_stderr": 0.035737053147634576,
"acc_norm": 0.2582781456953642,
"acc_norm_stderr": 0.035737053147634576
},
"harness|ko_mmlu_sociology|5": {
"acc": 0.5522388059701493,
"acc_stderr": 0.03516184772952167,
"acc_norm": 0.5522388059701493,
"acc_norm_stderr": 0.03516184772952167
},
"harness|ko_mmlu_college_medicine|5": {
"acc": 0.3468208092485549,
"acc_stderr": 0.03629146670159664,
"acc_norm": 0.3468208092485549,
"acc_norm_stderr": 0.03629146670159664
},
"harness|ko_mmlu_elementary_mathematics|5": {
"acc": 0.373015873015873,
"acc_stderr": 0.02490699045899257,
"acc_norm": 0.373015873015873,
"acc_norm_stderr": 0.02490699045899257
},
"harness|ko_mmlu_college_biology|5": {
"acc": 0.3263888888888889,
"acc_stderr": 0.03921067198982266,
"acc_norm": 0.3263888888888889,
"acc_norm_stderr": 0.03921067198982266
},
"harness|ko_mmlu_college_chemistry|5": {
"acc": 0.39,
"acc_stderr": 0.04902071300001975,
"acc_norm": 0.39,
"acc_norm_stderr": 0.04902071300001975
},
"harness|ko_mmlu_us_foreign_policy|5": {
"acc": 0.56,
"acc_stderr": 0.049888765156985884,
"acc_norm": 0.56,
"acc_norm_stderr": 0.049888765156985884
},
"harness|ko_mmlu_moral_disputes|5": {
"acc": 0.48554913294797686,
"acc_stderr": 0.026907849856282542,
"acc_norm": 0.48554913294797686,
"acc_norm_stderr": 0.026907849856282542
},
"harness|ko_mmlu_logical_fallacies|5": {
"acc": 0.43558282208588955,
"acc_stderr": 0.03895632464138937,
"acc_norm": 0.43558282208588955,
"acc_norm_stderr": 0.03895632464138937
},
"harness|ko_mmlu_prehistory|5": {
"acc": 0.4537037037037037,
"acc_stderr": 0.027701228468542602,
"acc_norm": 0.4537037037037037,
"acc_norm_stderr": 0.027701228468542602
},
"harness|ko_mmlu_college_mathematics|5": {
"acc": 0.37,
"acc_stderr": 0.048523658709390974,
"acc_norm": 0.37,
"acc_norm_stderr": 0.048523658709390974
},
"harness|ko_mmlu_high_school_government_and_politics|5": {
"acc": 0.533678756476684,
"acc_stderr": 0.036002440698671784,
"acc_norm": 0.533678756476684,
"acc_norm_stderr": 0.036002440698671784
},
"harness|ko_mmlu_econometrics|5": {
"acc": 0.30701754385964913,
"acc_stderr": 0.0433913832257986,
"acc_norm": 0.30701754385964913,
"acc_norm_stderr": 0.0433913832257986
},
"harness|ko_mmlu_high_school_psychology|5": {
"acc": 0.45871559633027525,
"acc_stderr": 0.021364122533881695,
"acc_norm": 0.45871559633027525,
"acc_norm_stderr": 0.021364122533881695
},
"harness|ko_mmlu_formal_logic|5": {
"acc": 0.3253968253968254,
"acc_stderr": 0.041905964388711366,
"acc_norm": 0.3253968253968254,
"acc_norm_stderr": 0.041905964388711366
},
"harness|ko_mmlu_nutrition|5": {
"acc": 0.4869281045751634,
"acc_stderr": 0.028620130800700246,
"acc_norm": 0.4869281045751634,
"acc_norm_stderr": 0.028620130800700246
},
"harness|ko_mmlu_business_ethics|5": {
"acc": 0.46,
"acc_stderr": 0.05009082659620332,
"acc_norm": 0.46,
"acc_norm_stderr": 0.05009082659620332
},
"harness|ko_mmlu_international_law|5": {
"acc": 0.6115702479338843,
"acc_stderr": 0.04449270350068382,
"acc_norm": 0.6115702479338843,
"acc_norm_stderr": 0.04449270350068382
},
"harness|ko_mmlu_astronomy|5": {
"acc": 0.40789473684210525,
"acc_stderr": 0.03999309712777471,
"acc_norm": 0.40789473684210525,
"acc_norm_stderr": 0.03999309712777471
},
"harness|ko_mmlu_professional_psychology|5": {
"acc": 0.3709150326797386,
"acc_stderr": 0.01954210156485412,
"acc_norm": 0.3709150326797386,
"acc_norm_stderr": 0.01954210156485412
},
"harness|ko_mmlu_professional_accounting|5": {
"acc": 0.30851063829787234,
"acc_stderr": 0.027553366165101362,
"acc_norm": 0.30851063829787234,
"acc_norm_stderr": 0.027553366165101362
},
"harness|ko_mmlu_machine_learning|5": {
"acc": 0.39285714285714285,
"acc_stderr": 0.046355501356099754,
"acc_norm": 0.39285714285714285,
"acc_norm_stderr": 0.046355501356099754
},
"harness|ko_mmlu_high_school_statistics|5": {
"acc": 0.37962962962962965,
"acc_stderr": 0.03309682581119035,
"acc_norm": 0.37962962962962965,
"acc_norm_stderr": 0.03309682581119035
},
"harness|ko_mmlu_moral_scenarios|5": {
"acc": 0.23687150837988827,
"acc_stderr": 0.014219570788103987,
"acc_norm": 0.23687150837988827,
"acc_norm_stderr": 0.014219570788103987
},
"harness|ko_mmlu_college_computer_science|5": {
"acc": 0.4,
"acc_stderr": 0.04923659639173309,
"acc_norm": 0.4,
"acc_norm_stderr": 0.04923659639173309
},
"harness|ko_mmlu_high_school_computer_science|5": {
"acc": 0.55,
"acc_stderr": 0.049999999999999996,
"acc_norm": 0.55,
"acc_norm_stderr": 0.049999999999999996
},
"harness|ko_mmlu_professional_medicine|5": {
"acc": 0.36764705882352944,
"acc_stderr": 0.029289413409403192,
"acc_norm": 0.36764705882352944,
"acc_norm_stderr": 0.029289413409403192
},
"harness|ko_mmlu_security_studies|5": {
"acc": 0.5020408163265306,
"acc_stderr": 0.0320089533497105,
"acc_norm": 0.5020408163265306,
"acc_norm_stderr": 0.0320089533497105
},
"harness|ko_mmlu_high_school_world_history|5": {
"acc": 0.5189873417721519,
"acc_stderr": 0.03252375148090447,
"acc_norm": 0.5189873417721519,
"acc_norm_stderr": 0.03252375148090447
},
"harness|ko_mmlu_professional_law|5": {
"acc": 0.3076923076923077,
"acc_stderr": 0.011787910251664594,
"acc_norm": 0.3076923076923077,
"acc_norm_stderr": 0.011787910251664594
},
"harness|ko_mmlu_high_school_us_history|5": {
"acc": 0.45588235294117646,
"acc_stderr": 0.03495624522015474,
"acc_norm": 0.45588235294117646,
"acc_norm_stderr": 0.03495624522015474
},
"harness|ko_mmlu_high_school_european_history|5": {
"acc": 0.4121212121212121,
"acc_stderr": 0.03843566993588718,
"acc_norm": 0.4121212121212121,
"acc_norm_stderr": 0.03843566993588718
},
"harness|ko_truthfulqa_mc|0": {
"mc1": 0.27539779681762544,
"mc1_stderr": 0.015638135667775523,
"mc2": 0.4662275406128657,
"mc2_stderr": 0.015931307436185087
},
"harness|ko_commongen_v2|2": {
"acc": 0.4132231404958678,
"acc_stderr": 0.016929480234495226,
"acc_norm": 0.4462809917355372,
"acc_norm_stderr": 0.017090852631668336
}
},
"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": "MNCJ1hun/Mistral-7B-OP-u1k-ver0.5",
"model_sha": "3ccdca4afa332d805c50ffbaaa84cd8fa8b9ebe1",
"model_dtype": "torch.float16",
"lighteval_sha": "",
"num_few_shot_default": 0,
"num_fewshot_seeds": 1,
"override_batch_size": 1,
"max_samples": null
}
}