results / GAI-LLM /ko-en-llama2-13b-mixed-v3 /result_2023-10-23 00:18:31.json
open-ko-llm-bot's picture
Add results for 2023-10-23 00:18:31
1ca035d
raw history blame
No virus
17.9 kB
{
"results": {
"harness|ko_arc_challenge|25": {
"acc": 0.3728668941979522,
"acc_stderr": 0.01413117676013117,
"acc_norm": 0.42406143344709896,
"acc_norm_stderr": 0.014441889627464394
},
"harness|ko_hellaswag|10": {
"acc": 0.40689105755825533,
"acc_stderr": 0.004902502514738606,
"acc_norm": 0.5433180641306513,
"acc_norm_stderr": 0.004971019942726589
},
"harness|ko_mmlu_world_religions|5": {
"acc": 0.5146198830409356,
"acc_stderr": 0.038331852752130254,
"acc_norm": 0.5146198830409356,
"acc_norm_stderr": 0.038331852752130254
},
"harness|ko_mmlu_management|5": {
"acc": 0.44660194174757284,
"acc_stderr": 0.04922424153458933,
"acc_norm": 0.44660194174757284,
"acc_norm_stderr": 0.04922424153458933
},
"harness|ko_mmlu_miscellaneous|5": {
"acc": 0.4878671775223499,
"acc_stderr": 0.01787469866749135,
"acc_norm": 0.4878671775223499,
"acc_norm_stderr": 0.01787469866749135
},
"harness|ko_mmlu_anatomy|5": {
"acc": 0.362962962962963,
"acc_stderr": 0.041539484047424,
"acc_norm": 0.362962962962963,
"acc_norm_stderr": 0.041539484047424
},
"harness|ko_mmlu_abstract_algebra|5": {
"acc": 0.29,
"acc_stderr": 0.045604802157206824,
"acc_norm": 0.29,
"acc_norm_stderr": 0.045604802157206824
},
"harness|ko_mmlu_conceptual_physics|5": {
"acc": 0.3148936170212766,
"acc_stderr": 0.030363582197238167,
"acc_norm": 0.3148936170212766,
"acc_norm_stderr": 0.030363582197238167
},
"harness|ko_mmlu_virology|5": {
"acc": 0.4397590361445783,
"acc_stderr": 0.03864139923699122,
"acc_norm": 0.4397590361445783,
"acc_norm_stderr": 0.03864139923699122
},
"harness|ko_mmlu_philosophy|5": {
"acc": 0.4694533762057878,
"acc_stderr": 0.028345045864840678,
"acc_norm": 0.4694533762057878,
"acc_norm_stderr": 0.028345045864840678
},
"harness|ko_mmlu_human_aging|5": {
"acc": 0.3721973094170404,
"acc_stderr": 0.03244305283008731,
"acc_norm": 0.3721973094170404,
"acc_norm_stderr": 0.03244305283008731
},
"harness|ko_mmlu_human_sexuality|5": {
"acc": 0.48091603053435117,
"acc_stderr": 0.04382094705550989,
"acc_norm": 0.48091603053435117,
"acc_norm_stderr": 0.04382094705550989
},
"harness|ko_mmlu_medical_genetics|5": {
"acc": 0.29,
"acc_stderr": 0.04560480215720683,
"acc_norm": 0.29,
"acc_norm_stderr": 0.04560480215720683
},
"harness|ko_mmlu_high_school_geography|5": {
"acc": 0.5151515151515151,
"acc_stderr": 0.0356071651653106,
"acc_norm": 0.5151515151515151,
"acc_norm_stderr": 0.0356071651653106
},
"harness|ko_mmlu_electrical_engineering|5": {
"acc": 0.3724137931034483,
"acc_stderr": 0.0402873153294756,
"acc_norm": 0.3724137931034483,
"acc_norm_stderr": 0.0402873153294756
},
"harness|ko_mmlu_college_physics|5": {
"acc": 0.21568627450980393,
"acc_stderr": 0.04092563958237655,
"acc_norm": 0.21568627450980393,
"acc_norm_stderr": 0.04092563958237655
},
"harness|ko_mmlu_high_school_microeconomics|5": {
"acc": 0.3697478991596639,
"acc_stderr": 0.03135709599613591,
"acc_norm": 0.3697478991596639,
"acc_norm_stderr": 0.03135709599613591
},
"harness|ko_mmlu_high_school_macroeconomics|5": {
"acc": 0.358974358974359,
"acc_stderr": 0.02432173848460237,
"acc_norm": 0.358974358974359,
"acc_norm_stderr": 0.02432173848460237
},
"harness|ko_mmlu_computer_security|5": {
"acc": 0.44,
"acc_stderr": 0.04988876515698589,
"acc_norm": 0.44,
"acc_norm_stderr": 0.04988876515698589
},
"harness|ko_mmlu_global_facts|5": {
"acc": 0.33,
"acc_stderr": 0.047258156262526045,
"acc_norm": 0.33,
"acc_norm_stderr": 0.047258156262526045
},
"harness|ko_mmlu_jurisprudence|5": {
"acc": 0.4166666666666667,
"acc_stderr": 0.04766075165356461,
"acc_norm": 0.4166666666666667,
"acc_norm_stderr": 0.04766075165356461
},
"harness|ko_mmlu_high_school_chemistry|5": {
"acc": 0.35467980295566504,
"acc_stderr": 0.03366124489051449,
"acc_norm": 0.35467980295566504,
"acc_norm_stderr": 0.03366124489051449
},
"harness|ko_mmlu_high_school_biology|5": {
"acc": 0.45483870967741935,
"acc_stderr": 0.028327743091561053,
"acc_norm": 0.45483870967741935,
"acc_norm_stderr": 0.028327743091561053
},
"harness|ko_mmlu_marketing|5": {
"acc": 0.5683760683760684,
"acc_stderr": 0.0324483553531149,
"acc_norm": 0.5683760683760684,
"acc_norm_stderr": 0.0324483553531149
},
"harness|ko_mmlu_clinical_knowledge|5": {
"acc": 0.4528301886792453,
"acc_stderr": 0.03063562795796182,
"acc_norm": 0.4528301886792453,
"acc_norm_stderr": 0.03063562795796182
},
"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": 0.26666666666666666,
"acc_stderr": 0.026962424325073828,
"acc_norm": 0.26666666666666666,
"acc_norm_stderr": 0.026962424325073828
},
"harness|ko_mmlu_high_school_physics|5": {
"acc": 0.2847682119205298,
"acc_stderr": 0.03684881521389023,
"acc_norm": 0.2847682119205298,
"acc_norm_stderr": 0.03684881521389023
},
"harness|ko_mmlu_sociology|5": {
"acc": 0.5472636815920398,
"acc_stderr": 0.03519702717576915,
"acc_norm": 0.5472636815920398,
"acc_norm_stderr": 0.03519702717576915
},
"harness|ko_mmlu_college_medicine|5": {
"acc": 0.3583815028901734,
"acc_stderr": 0.03656343653353159,
"acc_norm": 0.3583815028901734,
"acc_norm_stderr": 0.03656343653353159
},
"harness|ko_mmlu_elementary_mathematics|5": {
"acc": 0.30423280423280424,
"acc_stderr": 0.023695415009463084,
"acc_norm": 0.30423280423280424,
"acc_norm_stderr": 0.023695415009463084
},
"harness|ko_mmlu_college_biology|5": {
"acc": 0.3055555555555556,
"acc_stderr": 0.03852084696008534,
"acc_norm": 0.3055555555555556,
"acc_norm_stderr": 0.03852084696008534
},
"harness|ko_mmlu_college_chemistry|5": {
"acc": 0.24,
"acc_stderr": 0.042923469599092816,
"acc_norm": 0.24,
"acc_norm_stderr": 0.042923469599092816
},
"harness|ko_mmlu_us_foreign_policy|5": {
"acc": 0.54,
"acc_stderr": 0.05009082659620333,
"acc_norm": 0.54,
"acc_norm_stderr": 0.05009082659620333
},
"harness|ko_mmlu_moral_disputes|5": {
"acc": 0.4190751445086705,
"acc_stderr": 0.02656417811142262,
"acc_norm": 0.4190751445086705,
"acc_norm_stderr": 0.02656417811142262
},
"harness|ko_mmlu_logical_fallacies|5": {
"acc": 0.34355828220858897,
"acc_stderr": 0.03731133519673893,
"acc_norm": 0.34355828220858897,
"acc_norm_stderr": 0.03731133519673893
},
"harness|ko_mmlu_prehistory|5": {
"acc": 0.4660493827160494,
"acc_stderr": 0.027756535257347666,
"acc_norm": 0.4660493827160494,
"acc_norm_stderr": 0.027756535257347666
},
"harness|ko_mmlu_college_mathematics|5": {
"acc": 0.26,
"acc_stderr": 0.04408440022768079,
"acc_norm": 0.26,
"acc_norm_stderr": 0.04408440022768079
},
"harness|ko_mmlu_high_school_government_and_politics|5": {
"acc": 0.40932642487046633,
"acc_stderr": 0.03548608168860806,
"acc_norm": 0.40932642487046633,
"acc_norm_stderr": 0.03548608168860806
},
"harness|ko_mmlu_econometrics|5": {
"acc": 0.2543859649122807,
"acc_stderr": 0.040969851398436716,
"acc_norm": 0.2543859649122807,
"acc_norm_stderr": 0.040969851398436716
},
"harness|ko_mmlu_high_school_psychology|5": {
"acc": 0.44954128440366975,
"acc_stderr": 0.021327881417823363,
"acc_norm": 0.44954128440366975,
"acc_norm_stderr": 0.021327881417823363
},
"harness|ko_mmlu_formal_logic|5": {
"acc": 0.25396825396825395,
"acc_stderr": 0.03893259610604675,
"acc_norm": 0.25396825396825395,
"acc_norm_stderr": 0.03893259610604675
},
"harness|ko_mmlu_nutrition|5": {
"acc": 0.38235294117647056,
"acc_stderr": 0.027826109307283693,
"acc_norm": 0.38235294117647056,
"acc_norm_stderr": 0.027826109307283693
},
"harness|ko_mmlu_business_ethics|5": {
"acc": 0.37,
"acc_stderr": 0.048523658709391,
"acc_norm": 0.37,
"acc_norm_stderr": 0.048523658709391
},
"harness|ko_mmlu_international_law|5": {
"acc": 0.5206611570247934,
"acc_stderr": 0.04560456086387235,
"acc_norm": 0.5206611570247934,
"acc_norm_stderr": 0.04560456086387235
},
"harness|ko_mmlu_astronomy|5": {
"acc": 0.40131578947368424,
"acc_stderr": 0.03988903703336284,
"acc_norm": 0.40131578947368424,
"acc_norm_stderr": 0.03988903703336284
},
"harness|ko_mmlu_professional_psychology|5": {
"acc": 0.3137254901960784,
"acc_stderr": 0.018771683893528176,
"acc_norm": 0.3137254901960784,
"acc_norm_stderr": 0.018771683893528176
},
"harness|ko_mmlu_professional_accounting|5": {
"acc": 0.2907801418439716,
"acc_stderr": 0.027090664368353178,
"acc_norm": 0.2907801418439716,
"acc_norm_stderr": 0.027090664368353178
},
"harness|ko_mmlu_machine_learning|5": {
"acc": 0.22321428571428573,
"acc_stderr": 0.039523019677025116,
"acc_norm": 0.22321428571428573,
"acc_norm_stderr": 0.039523019677025116
},
"harness|ko_mmlu_high_school_statistics|5": {
"acc": 0.2916666666666667,
"acc_stderr": 0.03099866630456053,
"acc_norm": 0.2916666666666667,
"acc_norm_stderr": 0.03099866630456053
},
"harness|ko_mmlu_moral_scenarios|5": {
"acc": 0.2424581005586592,
"acc_stderr": 0.01433352205921789,
"acc_norm": 0.2424581005586592,
"acc_norm_stderr": 0.01433352205921789
},
"harness|ko_mmlu_college_computer_science|5": {
"acc": 0.27,
"acc_stderr": 0.044619604333847394,
"acc_norm": 0.27,
"acc_norm_stderr": 0.044619604333847394
},
"harness|ko_mmlu_high_school_computer_science|5": {
"acc": 0.39,
"acc_stderr": 0.04902071300001975,
"acc_norm": 0.39,
"acc_norm_stderr": 0.04902071300001975
},
"harness|ko_mmlu_professional_medicine|5": {
"acc": 0.20220588235294118,
"acc_stderr": 0.02439819298665492,
"acc_norm": 0.20220588235294118,
"acc_norm_stderr": 0.02439819298665492
},
"harness|ko_mmlu_security_studies|5": {
"acc": 0.43673469387755104,
"acc_stderr": 0.031751952375833226,
"acc_norm": 0.43673469387755104,
"acc_norm_stderr": 0.031751952375833226
},
"harness|ko_mmlu_high_school_world_history|5": {
"acc": 0.4810126582278481,
"acc_stderr": 0.03252375148090448,
"acc_norm": 0.4810126582278481,
"acc_norm_stderr": 0.03252375148090448
},
"harness|ko_mmlu_professional_law|5": {
"acc": 0.29726205997392435,
"acc_stderr": 0.011673346173086034,
"acc_norm": 0.29726205997392435,
"acc_norm_stderr": 0.011673346173086034
},
"harness|ko_mmlu_high_school_us_history|5": {
"acc": 0.36764705882352944,
"acc_stderr": 0.03384132045674118,
"acc_norm": 0.36764705882352944,
"acc_norm_stderr": 0.03384132045674118
},
"harness|ko_mmlu_high_school_european_history|5": {
"acc": 0.46060606060606063,
"acc_stderr": 0.03892207016552013,
"acc_norm": 0.46060606060606063,
"acc_norm_stderr": 0.03892207016552013
},
"harness|ko_truthfulqa_mc|0": {
"mc1": 0.2558139534883721,
"mc1_stderr": 0.015274176219283347,
"mc2": 0.41687077666896594,
"mc2_stderr": 0.014804732810744745
},
"harness|ko_commongen_v2|2": {
"acc": 0.4510035419126328,
"acc_stderr": 0.017107618859549353,
"acc_norm": 0.538370720188902,
"acc_norm_stderr": 0.01713966022184555
}
},
"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": "GAI-LLM/ko-en-llama2-13b-mixed-v3",
"model_sha": "c3e43fecfbbd3adc1ea335de10e23b90452cf081",
"model_dtype": "torch.float16",
"lighteval_sha": "",
"num_few_shot_default": 0,
"num_fewshot_seeds": 1,
"override_batch_size": 1,
"max_samples": null
}
}