results / LDCC /LDCC-Instruct-Llama-2-ko-13B-v1.4 /result_2023-11-01 02:12:17.json
open-ko-llm-bot's picture
Add results for 2023-11-01 02:12:17
b22de4a
raw
history blame
17.9 kB
{
"results": {
"harness|ko_arc_challenge|25": {
"acc": 0.43600682593856654,
"acc_stderr": 0.014491225699230914,
"acc_norm": 0.4778156996587031,
"acc_norm_stderr": 0.014597001927076133
},
"harness|ko_hellaswag|10": {
"acc": 0.4395538737303326,
"acc_stderr": 0.004953184534223989,
"acc_norm": 0.5835490938060147,
"acc_norm_stderr": 0.0049196263806455115
},
"harness|ko_mmlu_world_religions|5": {
"acc": 0.49122807017543857,
"acc_stderr": 0.038342347441649924,
"acc_norm": 0.49122807017543857,
"acc_norm_stderr": 0.038342347441649924
},
"harness|ko_mmlu_management|5": {
"acc": 0.5145631067961165,
"acc_stderr": 0.04948637324026637,
"acc_norm": 0.5145631067961165,
"acc_norm_stderr": 0.04948637324026637
},
"harness|ko_mmlu_miscellaneous|5": {
"acc": 0.5478927203065134,
"acc_stderr": 0.017797751493865636,
"acc_norm": 0.5478927203065134,
"acc_norm_stderr": 0.017797751493865636
},
"harness|ko_mmlu_anatomy|5": {
"acc": 0.48148148148148145,
"acc_stderr": 0.043163785995113245,
"acc_norm": 0.48148148148148145,
"acc_norm_stderr": 0.043163785995113245
},
"harness|ko_mmlu_abstract_algebra|5": {
"acc": 0.28,
"acc_stderr": 0.045126085985421255,
"acc_norm": 0.28,
"acc_norm_stderr": 0.045126085985421255
},
"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": 0.4036144578313253,
"acc_stderr": 0.03819486140758398,
"acc_norm": 0.4036144578313253,
"acc_norm_stderr": 0.03819486140758398
},
"harness|ko_mmlu_philosophy|5": {
"acc": 0.5176848874598071,
"acc_stderr": 0.02838032284907713,
"acc_norm": 0.5176848874598071,
"acc_norm_stderr": 0.02838032284907713
},
"harness|ko_mmlu_human_aging|5": {
"acc": 0.5336322869955157,
"acc_stderr": 0.033481800170603065,
"acc_norm": 0.5336322869955157,
"acc_norm_stderr": 0.033481800170603065
},
"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": 0.39,
"acc_stderr": 0.04902071300001975,
"acc_norm": 0.39,
"acc_norm_stderr": 0.04902071300001975
},
"harness|ko_mmlu_high_school_geography|5": {
"acc": 0.5959595959595959,
"acc_stderr": 0.03496130972056126,
"acc_norm": 0.5959595959595959,
"acc_norm_stderr": 0.03496130972056126
},
"harness|ko_mmlu_electrical_engineering|5": {
"acc": 0.3793103448275862,
"acc_stderr": 0.04043461861916747,
"acc_norm": 0.3793103448275862,
"acc_norm_stderr": 0.04043461861916747
},
"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": 0.4789915966386555,
"acc_stderr": 0.03244980849990029,
"acc_norm": 0.4789915966386555,
"acc_norm_stderr": 0.03244980849990029
},
"harness|ko_mmlu_high_school_macroeconomics|5": {
"acc": 0.4461538461538462,
"acc_stderr": 0.02520357177302834,
"acc_norm": 0.4461538461538462,
"acc_norm_stderr": 0.02520357177302834
},
"harness|ko_mmlu_computer_security|5": {
"acc": 0.52,
"acc_stderr": 0.050211673156867795,
"acc_norm": 0.52,
"acc_norm_stderr": 0.050211673156867795
},
"harness|ko_mmlu_global_facts|5": {
"acc": 0.37,
"acc_stderr": 0.04852365870939099,
"acc_norm": 0.37,
"acc_norm_stderr": 0.04852365870939099
},
"harness|ko_mmlu_jurisprudence|5": {
"acc": 0.5462962962962963,
"acc_stderr": 0.048129173245368216,
"acc_norm": 0.5462962962962963,
"acc_norm_stderr": 0.048129173245368216
},
"harness|ko_mmlu_high_school_chemistry|5": {
"acc": 0.3891625615763547,
"acc_stderr": 0.034304624161038716,
"acc_norm": 0.3891625615763547,
"acc_norm_stderr": 0.034304624161038716
},
"harness|ko_mmlu_high_school_biology|5": {
"acc": 0.4612903225806452,
"acc_stderr": 0.028358634859836928,
"acc_norm": 0.4612903225806452,
"acc_norm_stderr": 0.028358634859836928
},
"harness|ko_mmlu_marketing|5": {
"acc": 0.6367521367521367,
"acc_stderr": 0.03150712523091265,
"acc_norm": 0.6367521367521367,
"acc_norm_stderr": 0.03150712523091265
},
"harness|ko_mmlu_clinical_knowledge|5": {
"acc": 0.4490566037735849,
"acc_stderr": 0.030612730713641092,
"acc_norm": 0.4490566037735849,
"acc_norm_stderr": 0.030612730713641092
},
"harness|ko_mmlu_public_relations|5": {
"acc": 0.5636363636363636,
"acc_stderr": 0.04750185058907296,
"acc_norm": 0.5636363636363636,
"acc_norm_stderr": 0.04750185058907296
},
"harness|ko_mmlu_high_school_mathematics|5": {
"acc": 0.2518518518518518,
"acc_stderr": 0.026466117538959916,
"acc_norm": 0.2518518518518518,
"acc_norm_stderr": 0.026466117538959916
},
"harness|ko_mmlu_high_school_physics|5": {
"acc": 0.2781456953642384,
"acc_stderr": 0.036586032627637426,
"acc_norm": 0.2781456953642384,
"acc_norm_stderr": 0.036586032627637426
},
"harness|ko_mmlu_sociology|5": {
"acc": 0.5870646766169154,
"acc_stderr": 0.03481520803367348,
"acc_norm": 0.5870646766169154,
"acc_norm_stderr": 0.03481520803367348
},
"harness|ko_mmlu_college_medicine|5": {
"acc": 0.4046242774566474,
"acc_stderr": 0.0374246119388725,
"acc_norm": 0.4046242774566474,
"acc_norm_stderr": 0.0374246119388725
},
"harness|ko_mmlu_elementary_mathematics|5": {
"acc": 0.2751322751322751,
"acc_stderr": 0.02300008685906864,
"acc_norm": 0.2751322751322751,
"acc_norm_stderr": 0.02300008685906864
},
"harness|ko_mmlu_college_biology|5": {
"acc": 0.3611111111111111,
"acc_stderr": 0.040166600304512336,
"acc_norm": 0.3611111111111111,
"acc_norm_stderr": 0.040166600304512336
},
"harness|ko_mmlu_college_chemistry|5": {
"acc": 0.3,
"acc_stderr": 0.046056618647183814,
"acc_norm": 0.3,
"acc_norm_stderr": 0.046056618647183814
},
"harness|ko_mmlu_us_foreign_policy|5": {
"acc": 0.61,
"acc_stderr": 0.04902071300001975,
"acc_norm": 0.61,
"acc_norm_stderr": 0.04902071300001975
},
"harness|ko_mmlu_moral_disputes|5": {
"acc": 0.5144508670520231,
"acc_stderr": 0.026907849856282532,
"acc_norm": 0.5144508670520231,
"acc_norm_stderr": 0.026907849856282532
},
"harness|ko_mmlu_logical_fallacies|5": {
"acc": 0.5214723926380368,
"acc_stderr": 0.03924746876751129,
"acc_norm": 0.5214723926380368,
"acc_norm_stderr": 0.03924746876751129
},
"harness|ko_mmlu_prehistory|5": {
"acc": 0.49691358024691357,
"acc_stderr": 0.02782021415859437,
"acc_norm": 0.49691358024691357,
"acc_norm_stderr": 0.02782021415859437
},
"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": 0.5647668393782384,
"acc_stderr": 0.03578038165008586,
"acc_norm": 0.5647668393782384,
"acc_norm_stderr": 0.03578038165008586
},
"harness|ko_mmlu_econometrics|5": {
"acc": 0.24561403508771928,
"acc_stderr": 0.04049339297748141,
"acc_norm": 0.24561403508771928,
"acc_norm_stderr": 0.04049339297748141
},
"harness|ko_mmlu_high_school_psychology|5": {
"acc": 0.5908256880733945,
"acc_stderr": 0.021080670264433738,
"acc_norm": 0.5908256880733945,
"acc_norm_stderr": 0.021080670264433738
},
"harness|ko_mmlu_formal_logic|5": {
"acc": 0.30158730158730157,
"acc_stderr": 0.04104947269903394,
"acc_norm": 0.30158730158730157,
"acc_norm_stderr": 0.04104947269903394
},
"harness|ko_mmlu_nutrition|5": {
"acc": 0.39215686274509803,
"acc_stderr": 0.027956046165424513,
"acc_norm": 0.39215686274509803,
"acc_norm_stderr": 0.027956046165424513
},
"harness|ko_mmlu_business_ethics|5": {
"acc": 0.44,
"acc_stderr": 0.04988876515698589,
"acc_norm": 0.44,
"acc_norm_stderr": 0.04988876515698589
},
"harness|ko_mmlu_international_law|5": {
"acc": 0.6446280991735537,
"acc_stderr": 0.0436923632657398,
"acc_norm": 0.6446280991735537,
"acc_norm_stderr": 0.0436923632657398
},
"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": 0.4019607843137255,
"acc_stderr": 0.01983517648437538,
"acc_norm": 0.4019607843137255,
"acc_norm_stderr": 0.01983517648437538
},
"harness|ko_mmlu_professional_accounting|5": {
"acc": 0.3475177304964539,
"acc_stderr": 0.02840662780959095,
"acc_norm": 0.3475177304964539,
"acc_norm_stderr": 0.02840662780959095
},
"harness|ko_mmlu_machine_learning|5": {
"acc": 0.25892857142857145,
"acc_stderr": 0.041577515398656284,
"acc_norm": 0.25892857142857145,
"acc_norm_stderr": 0.041577515398656284
},
"harness|ko_mmlu_high_school_statistics|5": {
"acc": 0.3148148148148148,
"acc_stderr": 0.031674687068289784,
"acc_norm": 0.3148148148148148,
"acc_norm_stderr": 0.031674687068289784
},
"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": 0.4,
"acc_stderr": 0.04923659639173309,
"acc_norm": 0.4,
"acc_norm_stderr": 0.04923659639173309
},
"harness|ko_mmlu_high_school_computer_science|5": {
"acc": 0.46,
"acc_stderr": 0.05009082659620332,
"acc_norm": 0.46,
"acc_norm_stderr": 0.05009082659620332
},
"harness|ko_mmlu_professional_medicine|5": {
"acc": 0.4338235294117647,
"acc_stderr": 0.03010563657001664,
"acc_norm": 0.4338235294117647,
"acc_norm_stderr": 0.03010563657001664
},
"harness|ko_mmlu_security_studies|5": {
"acc": 0.39183673469387753,
"acc_stderr": 0.03125127591089165,
"acc_norm": 0.39183673469387753,
"acc_norm_stderr": 0.03125127591089165
},
"harness|ko_mmlu_high_school_world_history|5": {
"acc": 0.6540084388185654,
"acc_stderr": 0.03096481058878671,
"acc_norm": 0.6540084388185654,
"acc_norm_stderr": 0.03096481058878671
},
"harness|ko_mmlu_professional_law|5": {
"acc": 0.35528031290743156,
"acc_stderr": 0.012223623364044043,
"acc_norm": 0.35528031290743156,
"acc_norm_stderr": 0.012223623364044043
},
"harness|ko_mmlu_high_school_us_history|5": {
"acc": 0.5147058823529411,
"acc_stderr": 0.035077938347913236,
"acc_norm": 0.5147058823529411,
"acc_norm_stderr": 0.035077938347913236
},
"harness|ko_mmlu_high_school_european_history|5": {
"acc": 0.5757575757575758,
"acc_stderr": 0.038592681420702636,
"acc_norm": 0.5757575757575758,
"acc_norm_stderr": 0.038592681420702636
},
"harness|ko_truthfulqa_mc|0": {
"mc1": 0.36964504283965727,
"mc1_stderr": 0.0168981807069739,
"mc2": 0.5205477409426235,
"mc2_stderr": 0.01592635844376339
},
"harness|ko_commongen_v2|2": {
"acc": 0.4817001180637544,
"acc_stderr": 0.017178836639177752,
"acc_norm": 0.5454545454545454,
"acc_norm_stderr": 0.017119172208061504
}
},
"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": "LDCC/LDCC-Instruct-Llama-2-ko-13B-v1.4",
"model_sha": "784a5488ff350bcd9fde9d7aff59a0b9988acc2a",
"model_dtype": "torch.float16",
"lighteval_sha": "",
"num_few_shot_default": 0,
"num_fewshot_seeds": 1,
"override_batch_size": 1,
"max_samples": null
}
}