results / 42MARU /GenAI-llama2-ko-en-instruct-v6-13B /result_2023-11-27 02:12:26.json
open-ko-llm-bot's picture
Add results for 2023-11-27 02:12:26
6114d4d
raw
history blame
No virus
17.9 kB
{
"results": {
"harness|ko_arc_challenge|25": {
"acc": 0.3916382252559727,
"acc_stderr": 0.014264122124938215,
"acc_norm": 0.45051194539249145,
"acc_norm_stderr": 0.014539646098471627
},
"harness|ko_hellaswag|10": {
"acc": 0.4272057359091814,
"acc_stderr": 0.004936616428922639,
"acc_norm": 0.5610436168094005,
"acc_norm_stderr": 0.004952454721934797
},
"harness|ko_mmlu_world_religions|5": {
"acc": 0.4678362573099415,
"acc_stderr": 0.03826882417660369,
"acc_norm": 0.4678362573099415,
"acc_norm_stderr": 0.03826882417660369
},
"harness|ko_mmlu_management|5": {
"acc": 0.4854368932038835,
"acc_stderr": 0.04948637324026637,
"acc_norm": 0.4854368932038835,
"acc_norm_stderr": 0.04948637324026637
},
"harness|ko_mmlu_miscellaneous|5": {
"acc": 0.5210727969348659,
"acc_stderr": 0.017864076786212903,
"acc_norm": 0.5210727969348659,
"acc_norm_stderr": 0.017864076786212903
},
"harness|ko_mmlu_anatomy|5": {
"acc": 0.4148148148148148,
"acc_stderr": 0.04256193767901407,
"acc_norm": 0.4148148148148148,
"acc_norm_stderr": 0.04256193767901407
},
"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": 0.39574468085106385,
"acc_stderr": 0.03196758697835362,
"acc_norm": 0.39574468085106385,
"acc_norm_stderr": 0.03196758697835362
},
"harness|ko_mmlu_virology|5": {
"acc": 0.42771084337349397,
"acc_stderr": 0.03851597683718533,
"acc_norm": 0.42771084337349397,
"acc_norm_stderr": 0.03851597683718533
},
"harness|ko_mmlu_philosophy|5": {
"acc": 0.4565916398713826,
"acc_stderr": 0.028290869054197604,
"acc_norm": 0.4565916398713826,
"acc_norm_stderr": 0.028290869054197604
},
"harness|ko_mmlu_human_aging|5": {
"acc": 0.47533632286995514,
"acc_stderr": 0.03351695167652629,
"acc_norm": 0.47533632286995514,
"acc_norm_stderr": 0.03351695167652629
},
"harness|ko_mmlu_human_sexuality|5": {
"acc": 0.4580152671755725,
"acc_stderr": 0.04369802690578756,
"acc_norm": 0.4580152671755725,
"acc_norm_stderr": 0.04369802690578756
},
"harness|ko_mmlu_medical_genetics|5": {
"acc": 0.37,
"acc_stderr": 0.04852365870939098,
"acc_norm": 0.37,
"acc_norm_stderr": 0.04852365870939098
},
"harness|ko_mmlu_high_school_geography|5": {
"acc": 0.5202020202020202,
"acc_stderr": 0.03559443565563919,
"acc_norm": 0.5202020202020202,
"acc_norm_stderr": 0.03559443565563919
},
"harness|ko_mmlu_electrical_engineering|5": {
"acc": 0.4068965517241379,
"acc_stderr": 0.04093793981266237,
"acc_norm": 0.4068965517241379,
"acc_norm_stderr": 0.04093793981266237
},
"harness|ko_mmlu_college_physics|5": {
"acc": 0.23529411764705882,
"acc_stderr": 0.04220773659171453,
"acc_norm": 0.23529411764705882,
"acc_norm_stderr": 0.04220773659171453
},
"harness|ko_mmlu_high_school_microeconomics|5": {
"acc": 0.40756302521008403,
"acc_stderr": 0.031918633744784645,
"acc_norm": 0.40756302521008403,
"acc_norm_stderr": 0.031918633744784645
},
"harness|ko_mmlu_high_school_macroeconomics|5": {
"acc": 0.4230769230769231,
"acc_stderr": 0.02504919787604233,
"acc_norm": 0.4230769230769231,
"acc_norm_stderr": 0.02504919787604233
},
"harness|ko_mmlu_computer_security|5": {
"acc": 0.57,
"acc_stderr": 0.049756985195624284,
"acc_norm": 0.57,
"acc_norm_stderr": 0.049756985195624284
},
"harness|ko_mmlu_global_facts|5": {
"acc": 0.35,
"acc_stderr": 0.0479372485441102,
"acc_norm": 0.35,
"acc_norm_stderr": 0.0479372485441102
},
"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": 0.39408866995073893,
"acc_stderr": 0.034381579670365446,
"acc_norm": 0.39408866995073893,
"acc_norm_stderr": 0.034381579670365446
},
"harness|ko_mmlu_high_school_biology|5": {
"acc": 0.45483870967741935,
"acc_stderr": 0.028327743091561056,
"acc_norm": 0.45483870967741935,
"acc_norm_stderr": 0.028327743091561056
},
"harness|ko_mmlu_marketing|5": {
"acc": 0.6410256410256411,
"acc_stderr": 0.03142616993791924,
"acc_norm": 0.6410256410256411,
"acc_norm_stderr": 0.03142616993791924
},
"harness|ko_mmlu_clinical_knowledge|5": {
"acc": 0.45660377358490567,
"acc_stderr": 0.03065674869673943,
"acc_norm": 0.45660377358490567,
"acc_norm_stderr": 0.03065674869673943
},
"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": 0.24814814814814815,
"acc_stderr": 0.0263357394040558,
"acc_norm": 0.24814814814814815,
"acc_norm_stderr": 0.0263357394040558
},
"harness|ko_mmlu_high_school_physics|5": {
"acc": 0.31788079470198677,
"acc_stderr": 0.03802039760107903,
"acc_norm": 0.31788079470198677,
"acc_norm_stderr": 0.03802039760107903
},
"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": 0.2724867724867725,
"acc_stderr": 0.022930973071633345,
"acc_norm": 0.2724867724867725,
"acc_norm_stderr": 0.022930973071633345
},
"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": 0.36,
"acc_stderr": 0.04824181513244218,
"acc_norm": 0.36,
"acc_norm_stderr": 0.04824181513244218
},
"harness|ko_mmlu_us_foreign_policy|5": {
"acc": 0.59,
"acc_stderr": 0.04943110704237102,
"acc_norm": 0.59,
"acc_norm_stderr": 0.04943110704237102
},
"harness|ko_mmlu_moral_disputes|5": {
"acc": 0.4421965317919075,
"acc_stderr": 0.026738603643807403,
"acc_norm": 0.4421965317919075,
"acc_norm_stderr": 0.026738603643807403
},
"harness|ko_mmlu_logical_fallacies|5": {
"acc": 0.44785276073619634,
"acc_stderr": 0.03906947479456601,
"acc_norm": 0.44785276073619634,
"acc_norm_stderr": 0.03906947479456601
},
"harness|ko_mmlu_prehistory|5": {
"acc": 0.4567901234567901,
"acc_stderr": 0.027716661650194038,
"acc_norm": 0.4567901234567901,
"acc_norm_stderr": 0.027716661650194038
},
"harness|ko_mmlu_college_mathematics|5": {
"acc": 0.3,
"acc_stderr": 0.046056618647183814,
"acc_norm": 0.3,
"acc_norm_stderr": 0.046056618647183814
},
"harness|ko_mmlu_high_school_government_and_politics|5": {
"acc": 0.49740932642487046,
"acc_stderr": 0.03608390745384487,
"acc_norm": 0.49740932642487046,
"acc_norm_stderr": 0.03608390745384487
},
"harness|ko_mmlu_econometrics|5": {
"acc": 0.20175438596491227,
"acc_stderr": 0.03775205013583639,
"acc_norm": 0.20175438596491227,
"acc_norm_stderr": 0.03775205013583639
},
"harness|ko_mmlu_high_school_psychology|5": {
"acc": 0.4935779816513762,
"acc_stderr": 0.021435554820013077,
"acc_norm": 0.4935779816513762,
"acc_norm_stderr": 0.021435554820013077
},
"harness|ko_mmlu_formal_logic|5": {
"acc": 0.30952380952380953,
"acc_stderr": 0.04134913018303316,
"acc_norm": 0.30952380952380953,
"acc_norm_stderr": 0.04134913018303316
},
"harness|ko_mmlu_nutrition|5": {
"acc": 0.42810457516339867,
"acc_stderr": 0.02833239748366427,
"acc_norm": 0.42810457516339867,
"acc_norm_stderr": 0.02833239748366427
},
"harness|ko_mmlu_business_ethics|5": {
"acc": 0.43,
"acc_stderr": 0.049756985195624284,
"acc_norm": 0.43,
"acc_norm_stderr": 0.049756985195624284
},
"harness|ko_mmlu_international_law|5": {
"acc": 0.5950413223140496,
"acc_stderr": 0.04481137755942469,
"acc_norm": 0.5950413223140496,
"acc_norm_stderr": 0.04481137755942469
},
"harness|ko_mmlu_astronomy|5": {
"acc": 0.3881578947368421,
"acc_stderr": 0.03965842097512744,
"acc_norm": 0.3881578947368421,
"acc_norm_stderr": 0.03965842097512744
},
"harness|ko_mmlu_professional_psychology|5": {
"acc": 0.3660130718954248,
"acc_stderr": 0.019488025745529672,
"acc_norm": 0.3660130718954248,
"acc_norm_stderr": 0.019488025745529672
},
"harness|ko_mmlu_professional_accounting|5": {
"acc": 0.2801418439716312,
"acc_stderr": 0.02678917235114024,
"acc_norm": 0.2801418439716312,
"acc_norm_stderr": 0.02678917235114024
},
"harness|ko_mmlu_machine_learning|5": {
"acc": 0.25892857142857145,
"acc_stderr": 0.04157751539865629,
"acc_norm": 0.25892857142857145,
"acc_norm_stderr": 0.04157751539865629
},
"harness|ko_mmlu_high_school_statistics|5": {
"acc": 0.3101851851851852,
"acc_stderr": 0.031546962856566295,
"acc_norm": 0.3101851851851852,
"acc_norm_stderr": 0.031546962856566295
},
"harness|ko_mmlu_moral_scenarios|5": {
"acc": 0.2446927374301676,
"acc_stderr": 0.014378169884098424,
"acc_norm": 0.2446927374301676,
"acc_norm_stderr": 0.014378169884098424
},
"harness|ko_mmlu_college_computer_science|5": {
"acc": 0.33,
"acc_stderr": 0.047258156262526045,
"acc_norm": 0.33,
"acc_norm_stderr": 0.047258156262526045
},
"harness|ko_mmlu_high_school_computer_science|5": {
"acc": 0.44,
"acc_stderr": 0.049888765156985884,
"acc_norm": 0.44,
"acc_norm_stderr": 0.049888765156985884
},
"harness|ko_mmlu_professional_medicine|5": {
"acc": 0.33088235294117646,
"acc_stderr": 0.028582709753898428,
"acc_norm": 0.33088235294117646,
"acc_norm_stderr": 0.028582709753898428
},
"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": 0.5485232067510548,
"acc_stderr": 0.032393600173974704,
"acc_norm": 0.5485232067510548,
"acc_norm_stderr": 0.032393600173974704
},
"harness|ko_mmlu_professional_law|5": {
"acc": 0.31486310299869624,
"acc_stderr": 0.011862561755715945,
"acc_norm": 0.31486310299869624,
"acc_norm_stderr": 0.011862561755715945
},
"harness|ko_mmlu_high_school_us_history|5": {
"acc": 0.4411764705882353,
"acc_stderr": 0.034849415144292316,
"acc_norm": 0.4411764705882353,
"acc_norm_stderr": 0.034849415144292316
},
"harness|ko_mmlu_high_school_european_history|5": {
"acc": 0.5393939393939394,
"acc_stderr": 0.03892207016552012,
"acc_norm": 0.5393939393939394,
"acc_norm_stderr": 0.03892207016552012
},
"harness|ko_truthfulqa_mc|0": {
"mc1": 0.3023255813953488,
"mc1_stderr": 0.01607750926613303,
"mc2": 0.45710797981768625,
"mc2_stderr": 0.015464643764155465
},
"harness|ko_commongen_v2|2": {
"acc": 0.46871310507674147,
"acc_stderr": 0.017156666859785456,
"acc_norm": 0.5619834710743802,
"acc_norm_stderr": 0.017057753702160294
}
},
"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-v6-13B",
"model_sha": "f24326c48f4edb60bc3bdc186b65e0fcb9254c1e",
"model_dtype": "torch.float16",
"lighteval_sha": "",
"num_few_shot_default": 0,
"num_fewshot_seeds": 1,
"override_batch_size": 1,
"max_samples": null
}
}