results / MNC-LLM /Mistral-11B-Omni-OPA-u1k-ver0.7 /result_2023-11-02 01:16:59.json
open-ko-llm-bot's picture
Add results for 2023-11-02 01:16:59
de2420d
raw history blame
No virus
17.9 kB
{
"results": {
"harness|ko_arc_challenge|25": {
"acc": 0.3412969283276451,
"acc_stderr": 0.013855831287497724,
"acc_norm": 0.38993174061433444,
"acc_norm_stderr": 0.014252959848892893
},
"harness|ko_hellaswag|10": {
"acc": 0.37801234813782114,
"acc_stderr": 0.004838997427699758,
"acc_norm": 0.4923322047400916,
"acc_norm_stderr": 0.004989194627707854
},
"harness|ko_mmlu_world_religions|5": {
"acc": 0.47953216374269003,
"acc_stderr": 0.0383161053282193,
"acc_norm": 0.47953216374269003,
"acc_norm_stderr": 0.0383161053282193
},
"harness|ko_mmlu_management|5": {
"acc": 0.6019417475728155,
"acc_stderr": 0.04846748253977238,
"acc_norm": 0.6019417475728155,
"acc_norm_stderr": 0.04846748253977238
},
"harness|ko_mmlu_miscellaneous|5": {
"acc": 0.4674329501915709,
"acc_stderr": 0.017841995750520857,
"acc_norm": 0.4674329501915709,
"acc_norm_stderr": 0.017841995750520857
},
"harness|ko_mmlu_anatomy|5": {
"acc": 0.4444444444444444,
"acc_stderr": 0.04292596718256981,
"acc_norm": 0.4444444444444444,
"acc_norm_stderr": 0.04292596718256981
},
"harness|ko_mmlu_abstract_algebra|5": {
"acc": 0.23,
"acc_stderr": 0.04229525846816506,
"acc_norm": 0.23,
"acc_norm_stderr": 0.04229525846816506
},
"harness|ko_mmlu_conceptual_physics|5": {
"acc": 0.3659574468085106,
"acc_stderr": 0.0314895582974553,
"acc_norm": 0.3659574468085106,
"acc_norm_stderr": 0.0314895582974553
},
"harness|ko_mmlu_virology|5": {
"acc": 0.39156626506024095,
"acc_stderr": 0.037998574544796354,
"acc_norm": 0.39156626506024095,
"acc_norm_stderr": 0.037998574544796354
},
"harness|ko_mmlu_philosophy|5": {
"acc": 0.4919614147909968,
"acc_stderr": 0.028394421370984545,
"acc_norm": 0.4919614147909968,
"acc_norm_stderr": 0.028394421370984545
},
"harness|ko_mmlu_human_aging|5": {
"acc": 0.4080717488789238,
"acc_stderr": 0.03298574607842821,
"acc_norm": 0.4080717488789238,
"acc_norm_stderr": 0.03298574607842821
},
"harness|ko_mmlu_human_sexuality|5": {
"acc": 0.44274809160305345,
"acc_stderr": 0.04356447202665069,
"acc_norm": 0.44274809160305345,
"acc_norm_stderr": 0.04356447202665069
},
"harness|ko_mmlu_medical_genetics|5": {
"acc": 0.39,
"acc_stderr": 0.04902071300001974,
"acc_norm": 0.39,
"acc_norm_stderr": 0.04902071300001974
},
"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": 0.46206896551724136,
"acc_stderr": 0.04154659671707546,
"acc_norm": 0.46206896551724136,
"acc_norm_stderr": 0.04154659671707546
},
"harness|ko_mmlu_college_physics|5": {
"acc": 0.37254901960784315,
"acc_stderr": 0.04810840148082635,
"acc_norm": 0.37254901960784315,
"acc_norm_stderr": 0.04810840148082635
},
"harness|ko_mmlu_high_school_microeconomics|5": {
"acc": 0.5672268907563025,
"acc_stderr": 0.032183581077426124,
"acc_norm": 0.5672268907563025,
"acc_norm_stderr": 0.032183581077426124
},
"harness|ko_mmlu_high_school_macroeconomics|5": {
"acc": 0.4564102564102564,
"acc_stderr": 0.025254485424799605,
"acc_norm": 0.4564102564102564,
"acc_norm_stderr": 0.025254485424799605
},
"harness|ko_mmlu_computer_security|5": {
"acc": 0.55,
"acc_stderr": 0.04999999999999999,
"acc_norm": 0.55,
"acc_norm_stderr": 0.04999999999999999
},
"harness|ko_mmlu_global_facts|5": {
"acc": 0.24,
"acc_stderr": 0.04292346959909283,
"acc_norm": 0.24,
"acc_norm_stderr": 0.04292346959909283
},
"harness|ko_mmlu_jurisprudence|5": {
"acc": 0.5555555555555556,
"acc_stderr": 0.04803752235190192,
"acc_norm": 0.5555555555555556,
"acc_norm_stderr": 0.04803752235190192
},
"harness|ko_mmlu_high_school_chemistry|5": {
"acc": 0.3694581280788177,
"acc_stderr": 0.033959703819985754,
"acc_norm": 0.3694581280788177,
"acc_norm_stderr": 0.033959703819985754
},
"harness|ko_mmlu_high_school_biology|5": {
"acc": 0.4612903225806452,
"acc_stderr": 0.02835863485983692,
"acc_norm": 0.4612903225806452,
"acc_norm_stderr": 0.02835863485983692
},
"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": 0.4528301886792453,
"acc_stderr": 0.030635627957961827,
"acc_norm": 0.4528301886792453,
"acc_norm_stderr": 0.030635627957961827
},
"harness|ko_mmlu_public_relations|5": {
"acc": 0.5454545454545454,
"acc_stderr": 0.04769300568972745,
"acc_norm": 0.5454545454545454,
"acc_norm_stderr": 0.04769300568972745
},
"harness|ko_mmlu_high_school_mathematics|5": {
"acc": 0.2777777777777778,
"acc_stderr": 0.02730914058823018,
"acc_norm": 0.2777777777777778,
"acc_norm_stderr": 0.02730914058823018
},
"harness|ko_mmlu_high_school_physics|5": {
"acc": 0.25165562913907286,
"acc_stderr": 0.03543304234389985,
"acc_norm": 0.25165562913907286,
"acc_norm_stderr": 0.03543304234389985
},
"harness|ko_mmlu_sociology|5": {
"acc": 0.5920398009950248,
"acc_stderr": 0.03475116365194092,
"acc_norm": 0.5920398009950248,
"acc_norm_stderr": 0.03475116365194092
},
"harness|ko_mmlu_college_medicine|5": {
"acc": 0.43352601156069365,
"acc_stderr": 0.03778621079092056,
"acc_norm": 0.43352601156069365,
"acc_norm_stderr": 0.03778621079092056
},
"harness|ko_mmlu_elementary_mathematics|5": {
"acc": 0.3783068783068783,
"acc_stderr": 0.02497695405315525,
"acc_norm": 0.3783068783068783,
"acc_norm_stderr": 0.02497695405315525
},
"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": 0.42,
"acc_stderr": 0.049604496374885836,
"acc_norm": 0.42,
"acc_norm_stderr": 0.049604496374885836
},
"harness|ko_mmlu_us_foreign_policy|5": {
"acc": 0.59,
"acc_stderr": 0.04943110704237101,
"acc_norm": 0.59,
"acc_norm_stderr": 0.04943110704237101
},
"harness|ko_mmlu_moral_disputes|5": {
"acc": 0.49421965317919075,
"acc_stderr": 0.026917296179149116,
"acc_norm": 0.49421965317919075,
"acc_norm_stderr": 0.026917296179149116
},
"harness|ko_mmlu_logical_fallacies|5": {
"acc": 0.5030674846625767,
"acc_stderr": 0.03928297078179663,
"acc_norm": 0.5030674846625767,
"acc_norm_stderr": 0.03928297078179663
},
"harness|ko_mmlu_prehistory|5": {
"acc": 0.4537037037037037,
"acc_stderr": 0.0277012284685426,
"acc_norm": 0.4537037037037037,
"acc_norm_stderr": 0.0277012284685426
},
"harness|ko_mmlu_college_mathematics|5": {
"acc": 0.33,
"acc_stderr": 0.04725815626252606,
"acc_norm": 0.33,
"acc_norm_stderr": 0.04725815626252606
},
"harness|ko_mmlu_high_school_government_and_politics|5": {
"acc": 0.5233160621761658,
"acc_stderr": 0.03604513672442203,
"acc_norm": 0.5233160621761658,
"acc_norm_stderr": 0.03604513672442203
},
"harness|ko_mmlu_econometrics|5": {
"acc": 0.2982456140350877,
"acc_stderr": 0.04303684033537318,
"acc_norm": 0.2982456140350877,
"acc_norm_stderr": 0.04303684033537318
},
"harness|ko_mmlu_high_school_psychology|5": {
"acc": 0.4990825688073395,
"acc_stderr": 0.021437287056051215,
"acc_norm": 0.4990825688073395,
"acc_norm_stderr": 0.021437287056051215
},
"harness|ko_mmlu_formal_logic|5": {
"acc": 0.4126984126984127,
"acc_stderr": 0.04403438954768177,
"acc_norm": 0.4126984126984127,
"acc_norm_stderr": 0.04403438954768177
},
"harness|ko_mmlu_nutrition|5": {
"acc": 0.5032679738562091,
"acc_stderr": 0.02862930519400355,
"acc_norm": 0.5032679738562091,
"acc_norm_stderr": 0.02862930519400355
},
"harness|ko_mmlu_business_ethics|5": {
"acc": 0.48,
"acc_stderr": 0.050211673156867795,
"acc_norm": 0.48,
"acc_norm_stderr": 0.050211673156867795
},
"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": 0.4144736842105263,
"acc_stderr": 0.04008973785779206,
"acc_norm": 0.4144736842105263,
"acc_norm_stderr": 0.04008973785779206
},
"harness|ko_mmlu_professional_psychology|5": {
"acc": 0.4084967320261438,
"acc_stderr": 0.01988622103750187,
"acc_norm": 0.4084967320261438,
"acc_norm_stderr": 0.01988622103750187
},
"harness|ko_mmlu_professional_accounting|5": {
"acc": 0.31560283687943264,
"acc_stderr": 0.027724989449509314,
"acc_norm": 0.31560283687943264,
"acc_norm_stderr": 0.027724989449509314
},
"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": 0.4583333333333333,
"acc_stderr": 0.033981108902946366,
"acc_norm": 0.4583333333333333,
"acc_norm_stderr": 0.033981108902946366
},
"harness|ko_mmlu_moral_scenarios|5": {
"acc": 0.2569832402234637,
"acc_stderr": 0.01461446582196634,
"acc_norm": 0.2569832402234637,
"acc_norm_stderr": 0.01461446582196634
},
"harness|ko_mmlu_college_computer_science|5": {
"acc": 0.46,
"acc_stderr": 0.05009082659620333,
"acc_norm": 0.46,
"acc_norm_stderr": 0.05009082659620333
},
"harness|ko_mmlu_high_school_computer_science|5": {
"acc": 0.61,
"acc_stderr": 0.04902071300001974,
"acc_norm": 0.61,
"acc_norm_stderr": 0.04902071300001974
},
"harness|ko_mmlu_professional_medicine|5": {
"acc": 0.41911764705882354,
"acc_stderr": 0.02997280717046463,
"acc_norm": 0.41911764705882354,
"acc_norm_stderr": 0.02997280717046463
},
"harness|ko_mmlu_security_studies|5": {
"acc": 0.5510204081632653,
"acc_stderr": 0.03184213866687578,
"acc_norm": 0.5510204081632653,
"acc_norm_stderr": 0.03184213866687578
},
"harness|ko_mmlu_high_school_world_history|5": {
"acc": 0.5443037974683544,
"acc_stderr": 0.032419206846933335,
"acc_norm": 0.5443037974683544,
"acc_norm_stderr": 0.032419206846933335
},
"harness|ko_mmlu_professional_law|5": {
"acc": 0.33116036505867014,
"acc_stderr": 0.01202012819598576,
"acc_norm": 0.33116036505867014,
"acc_norm_stderr": 0.01202012819598576
},
"harness|ko_mmlu_high_school_us_history|5": {
"acc": 0.47058823529411764,
"acc_stderr": 0.03503235296367992,
"acc_norm": 0.47058823529411764,
"acc_norm_stderr": 0.03503235296367992
},
"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": 0.3084455324357405,
"mc1_stderr": 0.01616803938315687,
"mc2": 0.4911572350172599,
"mc2_stderr": 0.015610028118935604
},
"harness|ko_commongen_v2|2": {
"acc": 0.5159386068476978,
"acc_stderr": 0.017181617837190192,
"acc_norm": 0.5430932703659976,
"acc_norm_stderr": 0.01712638909308678
}
},
"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": "MNC-LLM/Mistral-11B-Omni-OPA-u1k-ver0.7",
"model_sha": "b191a814d7f0ab540eaa36f8f6ca4c189e4d3a5f",
"model_dtype": "torch.float16",
"lighteval_sha": "",
"num_few_shot_default": 0,
"num_fewshot_seeds": 1,
"override_batch_size": 1,
"max_samples": null
}
}