results / krevas /LDCC-Instruct-Llama-2-ko-13B-v4.2.2 /result_2023-10-26 11:07:01.json
open-ko-llm-bot's picture
Add results for 2023-10-26 11:07:01
f8af595
raw
history blame
17.9 kB
{
"results": {
"harness|ko_arc_challenge|25": {
"acc": 0.3822525597269625,
"acc_stderr": 0.014200454049979274,
"acc_norm": 0.45051194539249145,
"acc_norm_stderr": 0.014539646098471625
},
"harness|ko_hellaswag|10": {
"acc": 0.41575383389762993,
"acc_stderr": 0.004918442328872009,
"acc_norm": 0.5518820952001593,
"acc_norm_stderr": 0.0049628462061255
},
"harness|ko_mmlu_world_religions|5": {
"acc": 0.5672514619883041,
"acc_stderr": 0.03799978644370606,
"acc_norm": 0.5672514619883041,
"acc_norm_stderr": 0.03799978644370606
},
"harness|ko_mmlu_management|5": {
"acc": 0.49514563106796117,
"acc_stderr": 0.049505043821289195,
"acc_norm": 0.49514563106796117,
"acc_norm_stderr": 0.049505043821289195
},
"harness|ko_mmlu_miscellaneous|5": {
"acc": 0.5363984674329502,
"acc_stderr": 0.017832524079593265,
"acc_norm": 0.5363984674329502,
"acc_norm_stderr": 0.017832524079593265
},
"harness|ko_mmlu_anatomy|5": {
"acc": 0.37037037037037035,
"acc_stderr": 0.04171654161354544,
"acc_norm": 0.37037037037037035,
"acc_norm_stderr": 0.04171654161354544
},
"harness|ko_mmlu_abstract_algebra|5": {
"acc": 0.25,
"acc_stderr": 0.04351941398892446,
"acc_norm": 0.25,
"acc_norm_stderr": 0.04351941398892446
},
"harness|ko_mmlu_conceptual_physics|5": {
"acc": 0.31063829787234043,
"acc_stderr": 0.03025123757921317,
"acc_norm": 0.31063829787234043,
"acc_norm_stderr": 0.03025123757921317
},
"harness|ko_mmlu_virology|5": {
"acc": 0.41566265060240964,
"acc_stderr": 0.03836722176598053,
"acc_norm": 0.41566265060240964,
"acc_norm_stderr": 0.03836722176598053
},
"harness|ko_mmlu_philosophy|5": {
"acc": 0.5048231511254019,
"acc_stderr": 0.02839677044411129,
"acc_norm": 0.5048231511254019,
"acc_norm_stderr": 0.02839677044411129
},
"harness|ko_mmlu_human_aging|5": {
"acc": 0.45739910313901344,
"acc_stderr": 0.033435777055830646,
"acc_norm": 0.45739910313901344,
"acc_norm_stderr": 0.033435777055830646
},
"harness|ko_mmlu_human_sexuality|5": {
"acc": 0.5419847328244275,
"acc_stderr": 0.04369802690578756,
"acc_norm": 0.5419847328244275,
"acc_norm_stderr": 0.04369802690578756
},
"harness|ko_mmlu_medical_genetics|5": {
"acc": 0.42,
"acc_stderr": 0.04960449637488583,
"acc_norm": 0.42,
"acc_norm_stderr": 0.04960449637488583
},
"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": 0.4,
"acc_stderr": 0.04082482904638629,
"acc_norm": 0.4,
"acc_norm_stderr": 0.04082482904638629
},
"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": 0.4957983193277311,
"acc_stderr": 0.03247734334448111,
"acc_norm": 0.4957983193277311,
"acc_norm_stderr": 0.03247734334448111
},
"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": 0.46,
"acc_stderr": 0.05009082659620332,
"acc_norm": 0.46,
"acc_norm_stderr": 0.05009082659620332
},
"harness|ko_mmlu_global_facts|5": {
"acc": 0.28,
"acc_stderr": 0.04512608598542128,
"acc_norm": 0.28,
"acc_norm_stderr": 0.04512608598542128
},
"harness|ko_mmlu_jurisprudence|5": {
"acc": 0.4722222222222222,
"acc_stderr": 0.048262172941398944,
"acc_norm": 0.4722222222222222,
"acc_norm_stderr": 0.048262172941398944
},
"harness|ko_mmlu_high_school_chemistry|5": {
"acc": 0.3497536945812808,
"acc_stderr": 0.03355400904969565,
"acc_norm": 0.3497536945812808,
"acc_norm_stderr": 0.03355400904969565
},
"harness|ko_mmlu_high_school_biology|5": {
"acc": 0.43870967741935485,
"acc_stderr": 0.028229497320317227,
"acc_norm": 0.43870967741935485,
"acc_norm_stderr": 0.028229497320317227
},
"harness|ko_mmlu_marketing|5": {
"acc": 0.6538461538461539,
"acc_stderr": 0.0311669573672359,
"acc_norm": 0.6538461538461539,
"acc_norm_stderr": 0.0311669573672359
},
"harness|ko_mmlu_clinical_knowledge|5": {
"acc": 0.44150943396226416,
"acc_stderr": 0.030561590426731833,
"acc_norm": 0.44150943396226416,
"acc_norm_stderr": 0.030561590426731833
},
"harness|ko_mmlu_public_relations|5": {
"acc": 0.41818181818181815,
"acc_stderr": 0.04724577405731572,
"acc_norm": 0.41818181818181815,
"acc_norm_stderr": 0.04724577405731572
},
"harness|ko_mmlu_high_school_mathematics|5": {
"acc": 0.24074074074074073,
"acc_stderr": 0.0260671592222758,
"acc_norm": 0.24074074074074073,
"acc_norm_stderr": 0.0260671592222758
},
"harness|ko_mmlu_high_school_physics|5": {
"acc": 0.1986754966887417,
"acc_stderr": 0.03257847384436774,
"acc_norm": 0.1986754966887417,
"acc_norm_stderr": 0.03257847384436774
},
"harness|ko_mmlu_sociology|5": {
"acc": 0.572139303482587,
"acc_stderr": 0.03498541988407795,
"acc_norm": 0.572139303482587,
"acc_norm_stderr": 0.03498541988407795
},
"harness|ko_mmlu_college_medicine|5": {
"acc": 0.3699421965317919,
"acc_stderr": 0.03681229633394319,
"acc_norm": 0.3699421965317919,
"acc_norm_stderr": 0.03681229633394319
},
"harness|ko_mmlu_elementary_mathematics|5": {
"acc": 0.2857142857142857,
"acc_stderr": 0.02326651221373057,
"acc_norm": 0.2857142857142857,
"acc_norm_stderr": 0.02326651221373057
},
"harness|ko_mmlu_college_biology|5": {
"acc": 0.4166666666666667,
"acc_stderr": 0.04122728707651282,
"acc_norm": 0.4166666666666667,
"acc_norm_stderr": 0.04122728707651282
},
"harness|ko_mmlu_college_chemistry|5": {
"acc": 0.28,
"acc_stderr": 0.04512608598542128,
"acc_norm": 0.28,
"acc_norm_stderr": 0.04512608598542128
},
"harness|ko_mmlu_us_foreign_policy|5": {
"acc": 0.64,
"acc_stderr": 0.04824181513244218,
"acc_norm": 0.64,
"acc_norm_stderr": 0.04824181513244218
},
"harness|ko_mmlu_moral_disputes|5": {
"acc": 0.5028901734104047,
"acc_stderr": 0.026918645383239015,
"acc_norm": 0.5028901734104047,
"acc_norm_stderr": 0.026918645383239015
},
"harness|ko_mmlu_logical_fallacies|5": {
"acc": 0.4539877300613497,
"acc_stderr": 0.0391170190467718,
"acc_norm": 0.4539877300613497,
"acc_norm_stderr": 0.0391170190467718
},
"harness|ko_mmlu_prehistory|5": {
"acc": 0.4691358024691358,
"acc_stderr": 0.027767689606833925,
"acc_norm": 0.4691358024691358,
"acc_norm_stderr": 0.027767689606833925
},
"harness|ko_mmlu_college_mathematics|5": {
"acc": 0.31,
"acc_stderr": 0.04648231987117316,
"acc_norm": 0.31,
"acc_norm_stderr": 0.04648231987117316
},
"harness|ko_mmlu_high_school_government_and_politics|5": {
"acc": 0.5595854922279793,
"acc_stderr": 0.035827245300360945,
"acc_norm": 0.5595854922279793,
"acc_norm_stderr": 0.035827245300360945
},
"harness|ko_mmlu_econometrics|5": {
"acc": 0.22807017543859648,
"acc_stderr": 0.03947152782669415,
"acc_norm": 0.22807017543859648,
"acc_norm_stderr": 0.03947152782669415
},
"harness|ko_mmlu_high_school_psychology|5": {
"acc": 0.5541284403669725,
"acc_stderr": 0.02131133500970858,
"acc_norm": 0.5541284403669725,
"acc_norm_stderr": 0.02131133500970858
},
"harness|ko_mmlu_formal_logic|5": {
"acc": 0.2777777777777778,
"acc_stderr": 0.040061680838488774,
"acc_norm": 0.2777777777777778,
"acc_norm_stderr": 0.040061680838488774
},
"harness|ko_mmlu_nutrition|5": {
"acc": 0.45751633986928103,
"acc_stderr": 0.02852638345214264,
"acc_norm": 0.45751633986928103,
"acc_norm_stderr": 0.02852638345214264
},
"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": 0.6942148760330579,
"acc_stderr": 0.04205953933884124,
"acc_norm": 0.6942148760330579,
"acc_norm_stderr": 0.04205953933884124
},
"harness|ko_mmlu_astronomy|5": {
"acc": 0.45394736842105265,
"acc_stderr": 0.04051646342874141,
"acc_norm": 0.45394736842105265,
"acc_norm_stderr": 0.04051646342874141
},
"harness|ko_mmlu_professional_psychology|5": {
"acc": 0.38562091503267976,
"acc_stderr": 0.019691459052354143,
"acc_norm": 0.38562091503267976,
"acc_norm_stderr": 0.019691459052354143
},
"harness|ko_mmlu_professional_accounting|5": {
"acc": 0.3475177304964539,
"acc_stderr": 0.028406627809590954,
"acc_norm": 0.3475177304964539,
"acc_norm_stderr": 0.028406627809590954
},
"harness|ko_mmlu_machine_learning|5": {
"acc": 0.2857142857142857,
"acc_stderr": 0.04287858751340455,
"acc_norm": 0.2857142857142857,
"acc_norm_stderr": 0.04287858751340455
},
"harness|ko_mmlu_high_school_statistics|5": {
"acc": 0.26851851851851855,
"acc_stderr": 0.03022522616001242,
"acc_norm": 0.26851851851851855,
"acc_norm_stderr": 0.03022522616001242
},
"harness|ko_mmlu_moral_scenarios|5": {
"acc": 0.29720670391061454,
"acc_stderr": 0.015285313353641599,
"acc_norm": 0.29720670391061454,
"acc_norm_stderr": 0.015285313353641599
},
"harness|ko_mmlu_college_computer_science|5": {
"acc": 0.33,
"acc_stderr": 0.04725815626252606,
"acc_norm": 0.33,
"acc_norm_stderr": 0.04725815626252606
},
"harness|ko_mmlu_high_school_computer_science|5": {
"acc": 0.41,
"acc_stderr": 0.049431107042371025,
"acc_norm": 0.41,
"acc_norm_stderr": 0.049431107042371025
},
"harness|ko_mmlu_professional_medicine|5": {
"acc": 0.2867647058823529,
"acc_stderr": 0.02747227447323382,
"acc_norm": 0.2867647058823529,
"acc_norm_stderr": 0.02747227447323382
},
"harness|ko_mmlu_security_studies|5": {
"acc": 0.4775510204081633,
"acc_stderr": 0.031976941187136725,
"acc_norm": 0.4775510204081633,
"acc_norm_stderr": 0.031976941187136725
},
"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": 0.3318122555410691,
"acc_stderr": 0.012026088259897628,
"acc_norm": 0.3318122555410691,
"acc_norm_stderr": 0.012026088259897628
},
"harness|ko_mmlu_high_school_us_history|5": {
"acc": 0.5049019607843137,
"acc_stderr": 0.035091433756067866,
"acc_norm": 0.5049019607843137,
"acc_norm_stderr": 0.035091433756067866
},
"harness|ko_mmlu_high_school_european_history|5": {
"acc": 0.5454545454545454,
"acc_stderr": 0.038881769216741004,
"acc_norm": 0.5454545454545454,
"acc_norm_stderr": 0.038881769216741004
},
"harness|ko_truthfulqa_mc|0": {
"mc1": 0.27906976744186046,
"mc1_stderr": 0.01570210709062788,
"mc2": 0.4471086568861838,
"mc2_stderr": 0.015281241232491133
},
"harness|ko_commongen_v2|2": {
"acc": 0.5466351829988194,
"acc_stderr": 0.01711541822522687,
"acc_norm": 0.602125147579693,
"acc_norm_stderr": 0.016827959054733395
}
},
"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": "krevas/LDCC-Instruct-Llama-2-ko-13B-v4.2.2",
"model_sha": "b8290fa1d56a9ff58d2fecf3f8edd7058eb85502",
"model_dtype": "torch.float16",
"lighteval_sha": "",
"num_few_shot_default": 0,
"num_fewshot_seeds": 1,
"override_batch_size": 1,
"max_samples": null
}
}