results / kyujinpy /Korean-OpenOrca-13B /result_2023-10-09 08:06:20.json
open-ko-llm-bot's picture
Add results for 2023-10-09 08:06:20
ec1cdd5
raw history blame
No virus
17.8 kB
{
"results": {
"harness|ko_arc_challenge|25": {
"acc": 0.37372013651877134,
"acc_stderr": 0.014137708601759091,
"acc_norm": 0.4308873720136519,
"acc_norm_stderr": 0.014471133392642475
},
"harness|ko_hellaswag|10": {
"acc": 0.4080860386377216,
"acc_stderr": 0.004904747752286962,
"acc_norm": 0.5413264289982075,
"acc_norm_stderr": 0.0049727083696565425
},
"harness|ko_mmlu_world_religions|5": {
"acc": 0.4619883040935672,
"acc_stderr": 0.03823727092882307,
"acc_norm": 0.4619883040935672,
"acc_norm_stderr": 0.03823727092882307
},
"harness|ko_mmlu_management|5": {
"acc": 0.5242718446601942,
"acc_stderr": 0.049449010929737795,
"acc_norm": 0.5242718446601942,
"acc_norm_stderr": 0.049449010929737795
},
"harness|ko_mmlu_miscellaneous|5": {
"acc": 0.5223499361430396,
"acc_stderr": 0.01786209177850786,
"acc_norm": 0.5223499361430396,
"acc_norm_stderr": 0.01786209177850786
},
"harness|ko_mmlu_anatomy|5": {
"acc": 0.4074074074074074,
"acc_stderr": 0.04244633238353229,
"acc_norm": 0.4074074074074074,
"acc_norm_stderr": 0.04244633238353229
},
"harness|ko_mmlu_abstract_algebra|5": {
"acc": 0.3,
"acc_stderr": 0.046056618647183814,
"acc_norm": 0.3,
"acc_norm_stderr": 0.046056618647183814
},
"harness|ko_mmlu_conceptual_physics|5": {
"acc": 0.3446808510638298,
"acc_stderr": 0.03106898596312215,
"acc_norm": 0.3446808510638298,
"acc_norm_stderr": 0.03106898596312215
},
"harness|ko_mmlu_virology|5": {
"acc": 0.3855421686746988,
"acc_stderr": 0.03789134424611548,
"acc_norm": 0.3855421686746988,
"acc_norm_stderr": 0.03789134424611548
},
"harness|ko_mmlu_philosophy|5": {
"acc": 0.4437299035369775,
"acc_stderr": 0.028217683556652315,
"acc_norm": 0.4437299035369775,
"acc_norm_stderr": 0.028217683556652315
},
"harness|ko_mmlu_human_aging|5": {
"acc": 0.4439461883408072,
"acc_stderr": 0.03334625674242728,
"acc_norm": 0.4439461883408072,
"acc_norm_stderr": 0.03334625674242728
},
"harness|ko_mmlu_human_sexuality|5": {
"acc": 0.48854961832061067,
"acc_stderr": 0.043841400240780176,
"acc_norm": 0.48854961832061067,
"acc_norm_stderr": 0.043841400240780176
},
"harness|ko_mmlu_medical_genetics|5": {
"acc": 0.34,
"acc_stderr": 0.047609522856952365,
"acc_norm": 0.34,
"acc_norm_stderr": 0.047609522856952365
},
"harness|ko_mmlu_high_school_geography|5": {
"acc": 0.5252525252525253,
"acc_stderr": 0.035578062450873145,
"acc_norm": 0.5252525252525253,
"acc_norm_stderr": 0.035578062450873145
},
"harness|ko_mmlu_electrical_engineering|5": {
"acc": 0.42758620689655175,
"acc_stderr": 0.041227371113703316,
"acc_norm": 0.42758620689655175,
"acc_norm_stderr": 0.041227371113703316
},
"harness|ko_mmlu_college_physics|5": {
"acc": 0.21568627450980393,
"acc_stderr": 0.04092563958237654,
"acc_norm": 0.21568627450980393,
"acc_norm_stderr": 0.04092563958237654
},
"harness|ko_mmlu_high_school_microeconomics|5": {
"acc": 0.37815126050420167,
"acc_stderr": 0.031499305777849054,
"acc_norm": 0.37815126050420167,
"acc_norm_stderr": 0.031499305777849054
},
"harness|ko_mmlu_high_school_macroeconomics|5": {
"acc": 0.4461538461538462,
"acc_stderr": 0.025203571773028333,
"acc_norm": 0.4461538461538462,
"acc_norm_stderr": 0.025203571773028333
},
"harness|ko_mmlu_computer_security|5": {
"acc": 0.45,
"acc_stderr": 0.05,
"acc_norm": 0.45,
"acc_norm_stderr": 0.05
},
"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": 0.5,
"acc_stderr": 0.04833682445228318,
"acc_norm": 0.5,
"acc_norm_stderr": 0.04833682445228318
},
"harness|ko_mmlu_high_school_chemistry|5": {
"acc": 0.3497536945812808,
"acc_stderr": 0.03355400904969566,
"acc_norm": 0.3497536945812808,
"acc_norm_stderr": 0.03355400904969566
},
"harness|ko_mmlu_high_school_biology|5": {
"acc": 0.43870967741935485,
"acc_stderr": 0.02822949732031722,
"acc_norm": 0.43870967741935485,
"acc_norm_stderr": 0.02822949732031722
},
"harness|ko_mmlu_marketing|5": {
"acc": 0.6581196581196581,
"acc_stderr": 0.03107502852650775,
"acc_norm": 0.6581196581196581,
"acc_norm_stderr": 0.03107502852650775
},
"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": 0.5,
"acc_stderr": 0.04789131426105757,
"acc_norm": 0.5,
"acc_norm_stderr": 0.04789131426105757
},
"harness|ko_mmlu_high_school_mathematics|5": {
"acc": 0.27037037037037037,
"acc_stderr": 0.027080372815145654,
"acc_norm": 0.27037037037037037,
"acc_norm_stderr": 0.027080372815145654
},
"harness|ko_mmlu_high_school_physics|5": {
"acc": 0.26490066225165565,
"acc_stderr": 0.03603038545360384,
"acc_norm": 0.26490066225165565,
"acc_norm_stderr": 0.03603038545360384
},
"harness|ko_mmlu_sociology|5": {
"acc": 0.48756218905472637,
"acc_stderr": 0.03534439848539579,
"acc_norm": 0.48756218905472637,
"acc_norm_stderr": 0.03534439848539579
},
"harness|ko_mmlu_college_medicine|5": {
"acc": 0.3872832369942196,
"acc_stderr": 0.03714325906302064,
"acc_norm": 0.3872832369942196,
"acc_norm_stderr": 0.03714325906302064
},
"harness|ko_mmlu_elementary_mathematics|5": {
"acc": 0.291005291005291,
"acc_stderr": 0.02339382650048487,
"acc_norm": 0.291005291005291,
"acc_norm_stderr": 0.02339382650048487
},
"harness|ko_mmlu_college_biology|5": {
"acc": 0.3680555555555556,
"acc_stderr": 0.04032999053960718,
"acc_norm": 0.3680555555555556,
"acc_norm_stderr": 0.04032999053960718
},
"harness|ko_mmlu_college_chemistry|5": {
"acc": 0.32,
"acc_stderr": 0.046882617226215034,
"acc_norm": 0.32,
"acc_norm_stderr": 0.046882617226215034
},
"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": 0.44508670520231214,
"acc_stderr": 0.02675625512966377,
"acc_norm": 0.44508670520231214,
"acc_norm_stderr": 0.02675625512966377
},
"harness|ko_mmlu_logical_fallacies|5": {
"acc": 0.44171779141104295,
"acc_stderr": 0.039015918258361836,
"acc_norm": 0.44171779141104295,
"acc_norm_stderr": 0.039015918258361836
},
"harness|ko_mmlu_prehistory|5": {
"acc": 0.4691358024691358,
"acc_stderr": 0.027767689606833935,
"acc_norm": 0.4691358024691358,
"acc_norm_stderr": 0.027767689606833935
},
"harness|ko_mmlu_college_mathematics|5": {
"acc": 0.29,
"acc_stderr": 0.045604802157206845,
"acc_norm": 0.29,
"acc_norm_stderr": 0.045604802157206845
},
"harness|ko_mmlu_high_school_government_and_politics|5": {
"acc": 0.5025906735751295,
"acc_stderr": 0.03608390745384488,
"acc_norm": 0.5025906735751295,
"acc_norm_stderr": 0.03608390745384488
},
"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": 0.4935779816513762,
"acc_stderr": 0.021435554820013077,
"acc_norm": 0.4935779816513762,
"acc_norm_stderr": 0.021435554820013077
},
"harness|ko_mmlu_formal_logic|5": {
"acc": 0.2619047619047619,
"acc_stderr": 0.039325376803928704,
"acc_norm": 0.2619047619047619,
"acc_norm_stderr": 0.039325376803928704
},
"harness|ko_mmlu_nutrition|5": {
"acc": 0.40522875816993464,
"acc_stderr": 0.02811092849280907,
"acc_norm": 0.40522875816993464,
"acc_norm_stderr": 0.02811092849280907
},
"harness|ko_mmlu_business_ethics|5": {
"acc": 0.39,
"acc_stderr": 0.04902071300001974,
"acc_norm": 0.39,
"acc_norm_stderr": 0.04902071300001974
},
"harness|ko_mmlu_international_law|5": {
"acc": 0.6198347107438017,
"acc_stderr": 0.04431324501968432,
"acc_norm": 0.6198347107438017,
"acc_norm_stderr": 0.04431324501968432
},
"harness|ko_mmlu_astronomy|5": {
"acc": 0.39473684210526316,
"acc_stderr": 0.039777499346220734,
"acc_norm": 0.39473684210526316,
"acc_norm_stderr": 0.039777499346220734
},
"harness|ko_mmlu_professional_psychology|5": {
"acc": 0.33986928104575165,
"acc_stderr": 0.01916241858862356,
"acc_norm": 0.33986928104575165,
"acc_norm_stderr": 0.01916241858862356
},
"harness|ko_mmlu_professional_accounting|5": {
"acc": 0.3120567375886525,
"acc_stderr": 0.027640120545169934,
"acc_norm": 0.3120567375886525,
"acc_norm_stderr": 0.027640120545169934
},
"harness|ko_mmlu_machine_learning|5": {
"acc": 0.24107142857142858,
"acc_stderr": 0.04059867246952687,
"acc_norm": 0.24107142857142858,
"acc_norm_stderr": 0.04059867246952687
},
"harness|ko_mmlu_high_school_statistics|5": {
"acc": 0.2638888888888889,
"acc_stderr": 0.030058202704309846,
"acc_norm": 0.2638888888888889,
"acc_norm_stderr": 0.030058202704309846
},
"harness|ko_mmlu_moral_scenarios|5": {
"acc": 0.24134078212290502,
"acc_stderr": 0.014310999547961443,
"acc_norm": 0.24134078212290502,
"acc_norm_stderr": 0.014310999547961443
},
"harness|ko_mmlu_college_computer_science|5": {
"acc": 0.34,
"acc_stderr": 0.04760952285695235,
"acc_norm": 0.34,
"acc_norm_stderr": 0.04760952285695235
},
"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": 0.28308823529411764,
"acc_stderr": 0.027365861131513805,
"acc_norm": 0.28308823529411764,
"acc_norm_stderr": 0.027365861131513805
},
"harness|ko_mmlu_security_studies|5": {
"acc": 0.40816326530612246,
"acc_stderr": 0.03146465712827424,
"acc_norm": 0.40816326530612246,
"acc_norm_stderr": 0.03146465712827424
},
"harness|ko_mmlu_high_school_world_history|5": {
"acc": 0.5527426160337553,
"acc_stderr": 0.03236564251614192,
"acc_norm": 0.5527426160337553,
"acc_norm_stderr": 0.03236564251614192
},
"harness|ko_mmlu_professional_law|5": {
"acc": 0.30247718383311606,
"acc_stderr": 0.0117315242341657,
"acc_norm": 0.30247718383311606,
"acc_norm_stderr": 0.0117315242341657
},
"harness|ko_mmlu_high_school_us_history|5": {
"acc": 0.45098039215686275,
"acc_stderr": 0.03492406104163614,
"acc_norm": 0.45098039215686275,
"acc_norm_stderr": 0.03492406104163614
},
"harness|ko_mmlu_high_school_european_history|5": {
"acc": 0.4727272727272727,
"acc_stderr": 0.03898531605579419,
"acc_norm": 0.4727272727272727,
"acc_norm_stderr": 0.03898531605579419
},
"harness|ko_truthfulqa_mc|0": {
"mc1": 0.2864137086903305,
"mc1_stderr": 0.015826142439502332,
"mc2": 0.4522241098057631,
"mc2_stderr": 0.015289294572002421
},
"harness|ko_commongen_v2|2": {
"acc": 0.5301062573789846,
"acc_stderr": 0.017159163590170216,
"acc_norm": 0.6127508854781583,
"acc_norm_stderr": 0.01674757799164278
}
},
"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": "kyujinpy/Korean-OpenOrca-13B",
"model_sha": "1f0024f9356a1601ba642c01fd01b309c59b65b8",
"model_dtype": "torch.float16",
"lighteval_sha": "",
"num_few_shot_default": 0,
"num_fewshot_seeds": 1,
"override_batch_size": 1,
"max_samples": null
}
}