results / krevas /LDCC-Instruct-Llama-2-ko-13B-v4.1.8 /result_2023-10-20 03:33:51.json
open-ko-llm-bot's picture
Add results for 2023-10-20 03:33:51
06889bf
raw
history blame
No virus
17.9 kB
{
"results": {
"harness|ko_arc_challenge|25": {
"acc": 0.38822525597269625,
"acc_stderr": 0.014241614207414046,
"acc_norm": 0.4513651877133106,
"acc_norm_stderr": 0.014542104569955262
},
"harness|ko_hellaswag|10": {
"acc": 0.40689105755825533,
"acc_stderr": 0.004902502514738606,
"acc_norm": 0.5412268472415853,
"acc_norm_stderr": 0.004972790690640187
},
"harness|ko_mmlu_world_religions|5": {
"acc": 0.30409356725146197,
"acc_stderr": 0.0352821125824523,
"acc_norm": 0.30409356725146197,
"acc_norm_stderr": 0.0352821125824523
},
"harness|ko_mmlu_management|5": {
"acc": 0.36893203883495146,
"acc_stderr": 0.04777615181156739,
"acc_norm": 0.36893203883495146,
"acc_norm_stderr": 0.04777615181156739
},
"harness|ko_mmlu_miscellaneous|5": {
"acc": 0.2822477650063857,
"acc_stderr": 0.016095302969878548,
"acc_norm": 0.2822477650063857,
"acc_norm_stderr": 0.016095302969878548
},
"harness|ko_mmlu_anatomy|5": {
"acc": 0.2740740740740741,
"acc_stderr": 0.03853254836552003,
"acc_norm": 0.2740740740740741,
"acc_norm_stderr": 0.03853254836552003
},
"harness|ko_mmlu_abstract_algebra|5": {
"acc": 0.2,
"acc_stderr": 0.04020151261036845,
"acc_norm": 0.2,
"acc_norm_stderr": 0.04020151261036845
},
"harness|ko_mmlu_conceptual_physics|5": {
"acc": 0.24680851063829787,
"acc_stderr": 0.0281854413012341,
"acc_norm": 0.24680851063829787,
"acc_norm_stderr": 0.0281854413012341
},
"harness|ko_mmlu_virology|5": {
"acc": 0.3132530120481928,
"acc_stderr": 0.036108050180310235,
"acc_norm": 0.3132530120481928,
"acc_norm_stderr": 0.036108050180310235
},
"harness|ko_mmlu_philosophy|5": {
"acc": 0.3247588424437299,
"acc_stderr": 0.026596782287697043,
"acc_norm": 0.3247588424437299,
"acc_norm_stderr": 0.026596782287697043
},
"harness|ko_mmlu_human_aging|5": {
"acc": 0.25112107623318386,
"acc_stderr": 0.029105220833224622,
"acc_norm": 0.25112107623318386,
"acc_norm_stderr": 0.029105220833224622
},
"harness|ko_mmlu_human_sexuality|5": {
"acc": 0.32061068702290074,
"acc_stderr": 0.040933292298342784,
"acc_norm": 0.32061068702290074,
"acc_norm_stderr": 0.040933292298342784
},
"harness|ko_mmlu_medical_genetics|5": {
"acc": 0.27,
"acc_stderr": 0.0446196043338474,
"acc_norm": 0.27,
"acc_norm_stderr": 0.0446196043338474
},
"harness|ko_mmlu_high_school_geography|5": {
"acc": 0.30303030303030304,
"acc_stderr": 0.03274287914026866,
"acc_norm": 0.30303030303030304,
"acc_norm_stderr": 0.03274287914026866
},
"harness|ko_mmlu_electrical_engineering|5": {
"acc": 0.25517241379310346,
"acc_stderr": 0.03632984052707842,
"acc_norm": 0.25517241379310346,
"acc_norm_stderr": 0.03632984052707842
},
"harness|ko_mmlu_college_physics|5": {
"acc": 0.20588235294117646,
"acc_stderr": 0.04023382273617747,
"acc_norm": 0.20588235294117646,
"acc_norm_stderr": 0.04023382273617747
},
"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": 0.33076923076923076,
"acc_stderr": 0.023854795680971142,
"acc_norm": 0.33076923076923076,
"acc_norm_stderr": 0.023854795680971142
},
"harness|ko_mmlu_computer_security|5": {
"acc": 0.33,
"acc_stderr": 0.047258156262526045,
"acc_norm": 0.33,
"acc_norm_stderr": 0.047258156262526045
},
"harness|ko_mmlu_global_facts|5": {
"acc": 0.17,
"acc_stderr": 0.0377525168068637,
"acc_norm": 0.17,
"acc_norm_stderr": 0.0377525168068637
},
"harness|ko_mmlu_jurisprudence|5": {
"acc": 0.3055555555555556,
"acc_stderr": 0.044531975073749834,
"acc_norm": 0.3055555555555556,
"acc_norm_stderr": 0.044531975073749834
},
"harness|ko_mmlu_high_school_chemistry|5": {
"acc": 0.2512315270935961,
"acc_stderr": 0.030516530732694433,
"acc_norm": 0.2512315270935961,
"acc_norm_stderr": 0.030516530732694433
},
"harness|ko_mmlu_high_school_biology|5": {
"acc": 0.31290322580645163,
"acc_stderr": 0.02637756702864586,
"acc_norm": 0.31290322580645163,
"acc_norm_stderr": 0.02637756702864586
},
"harness|ko_mmlu_marketing|5": {
"acc": 0.33760683760683763,
"acc_stderr": 0.030980296992618558,
"acc_norm": 0.33760683760683763,
"acc_norm_stderr": 0.030980296992618558
},
"harness|ko_mmlu_clinical_knowledge|5": {
"acc": 0.27169811320754716,
"acc_stderr": 0.027377706624670713,
"acc_norm": 0.27169811320754716,
"acc_norm_stderr": 0.027377706624670713
},
"harness|ko_mmlu_public_relations|5": {
"acc": 0.2727272727272727,
"acc_stderr": 0.04265792110940588,
"acc_norm": 0.2727272727272727,
"acc_norm_stderr": 0.04265792110940588
},
"harness|ko_mmlu_high_school_mathematics|5": {
"acc": 0.2222222222222222,
"acc_stderr": 0.025348097468097856,
"acc_norm": 0.2222222222222222,
"acc_norm_stderr": 0.025348097468097856
},
"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": 0.39303482587064675,
"acc_stderr": 0.0345368246603156,
"acc_norm": 0.39303482587064675,
"acc_norm_stderr": 0.0345368246603156
},
"harness|ko_mmlu_college_medicine|5": {
"acc": 0.24855491329479767,
"acc_stderr": 0.03295304696818317,
"acc_norm": 0.24855491329479767,
"acc_norm_stderr": 0.03295304696818317
},
"harness|ko_mmlu_elementary_mathematics|5": {
"acc": 0.22486772486772486,
"acc_stderr": 0.02150209607822914,
"acc_norm": 0.22486772486772486,
"acc_norm_stderr": 0.02150209607822914
},
"harness|ko_mmlu_college_biology|5": {
"acc": 0.3541666666666667,
"acc_stderr": 0.039994111357535424,
"acc_norm": 0.3541666666666667,
"acc_norm_stderr": 0.039994111357535424
},
"harness|ko_mmlu_college_chemistry|5": {
"acc": 0.27,
"acc_stderr": 0.044619604333847394,
"acc_norm": 0.27,
"acc_norm_stderr": 0.044619604333847394
},
"harness|ko_mmlu_us_foreign_policy|5": {
"acc": 0.45,
"acc_stderr": 0.04999999999999999,
"acc_norm": 0.45,
"acc_norm_stderr": 0.04999999999999999
},
"harness|ko_mmlu_moral_disputes|5": {
"acc": 0.3236994219653179,
"acc_stderr": 0.025190181327608415,
"acc_norm": 0.3236994219653179,
"acc_norm_stderr": 0.025190181327608415
},
"harness|ko_mmlu_logical_fallacies|5": {
"acc": 0.24539877300613497,
"acc_stderr": 0.03380939813943354,
"acc_norm": 0.24539877300613497,
"acc_norm_stderr": 0.03380939813943354
},
"harness|ko_mmlu_prehistory|5": {
"acc": 0.31790123456790126,
"acc_stderr": 0.025910063528240865,
"acc_norm": 0.31790123456790126,
"acc_norm_stderr": 0.025910063528240865
},
"harness|ko_mmlu_college_mathematics|5": {
"acc": 0.33,
"acc_stderr": 0.04725815626252605,
"acc_norm": 0.33,
"acc_norm_stderr": 0.04725815626252605
},
"harness|ko_mmlu_high_school_government_and_politics|5": {
"acc": 0.39896373056994816,
"acc_stderr": 0.03533999094065696,
"acc_norm": 0.39896373056994816,
"acc_norm_stderr": 0.03533999094065696
},
"harness|ko_mmlu_econometrics|5": {
"acc": 0.2631578947368421,
"acc_stderr": 0.0414243971948936,
"acc_norm": 0.2631578947368421,
"acc_norm_stderr": 0.0414243971948936
},
"harness|ko_mmlu_high_school_psychology|5": {
"acc": 0.29357798165137616,
"acc_stderr": 0.01952515112263966,
"acc_norm": 0.29357798165137616,
"acc_norm_stderr": 0.01952515112263966
},
"harness|ko_mmlu_formal_logic|5": {
"acc": 0.3888888888888889,
"acc_stderr": 0.04360314860077459,
"acc_norm": 0.3888888888888889,
"acc_norm_stderr": 0.04360314860077459
},
"harness|ko_mmlu_nutrition|5": {
"acc": 0.3333333333333333,
"acc_stderr": 0.026992544339297226,
"acc_norm": 0.3333333333333333,
"acc_norm_stderr": 0.026992544339297226
},
"harness|ko_mmlu_business_ethics|5": {
"acc": 0.25,
"acc_stderr": 0.04351941398892446,
"acc_norm": 0.25,
"acc_norm_stderr": 0.04351941398892446
},
"harness|ko_mmlu_international_law|5": {
"acc": 0.49586776859504134,
"acc_stderr": 0.045641987674327526,
"acc_norm": 0.49586776859504134,
"acc_norm_stderr": 0.045641987674327526
},
"harness|ko_mmlu_astronomy|5": {
"acc": 0.28289473684210525,
"acc_stderr": 0.03665349695640767,
"acc_norm": 0.28289473684210525,
"acc_norm_stderr": 0.03665349695640767
},
"harness|ko_mmlu_professional_psychology|5": {
"acc": 0.2679738562091503,
"acc_stderr": 0.017917974069594726,
"acc_norm": 0.2679738562091503,
"acc_norm_stderr": 0.017917974069594726
},
"harness|ko_mmlu_professional_accounting|5": {
"acc": 0.2765957446808511,
"acc_stderr": 0.026684564340460994,
"acc_norm": 0.2765957446808511,
"acc_norm_stderr": 0.026684564340460994
},
"harness|ko_mmlu_machine_learning|5": {
"acc": 0.15178571428571427,
"acc_stderr": 0.03405702838185695,
"acc_norm": 0.15178571428571427,
"acc_norm_stderr": 0.03405702838185695
},
"harness|ko_mmlu_high_school_statistics|5": {
"acc": 0.4675925925925926,
"acc_stderr": 0.03402801581358966,
"acc_norm": 0.4675925925925926,
"acc_norm_stderr": 0.03402801581358966
},
"harness|ko_mmlu_moral_scenarios|5": {
"acc": 0.26145251396648045,
"acc_stderr": 0.014696599650364545,
"acc_norm": 0.26145251396648045,
"acc_norm_stderr": 0.014696599650364545
},
"harness|ko_mmlu_college_computer_science|5": {
"acc": 0.37,
"acc_stderr": 0.04852365870939099,
"acc_norm": 0.37,
"acc_norm_stderr": 0.04852365870939099
},
"harness|ko_mmlu_high_school_computer_science|5": {
"acc": 0.33,
"acc_stderr": 0.04725815626252605,
"acc_norm": 0.33,
"acc_norm_stderr": 0.04725815626252605
},
"harness|ko_mmlu_professional_medicine|5": {
"acc": 0.23161764705882354,
"acc_stderr": 0.025626533803777562,
"acc_norm": 0.23161764705882354,
"acc_norm_stderr": 0.025626533803777562
},
"harness|ko_mmlu_security_studies|5": {
"acc": 0.40816326530612246,
"acc_stderr": 0.03146465712827423,
"acc_norm": 0.40816326530612246,
"acc_norm_stderr": 0.03146465712827423
},
"harness|ko_mmlu_high_school_world_history|5": {
"acc": 0.2869198312236287,
"acc_stderr": 0.02944377302259469,
"acc_norm": 0.2869198312236287,
"acc_norm_stderr": 0.02944377302259469
},
"harness|ko_mmlu_professional_law|5": {
"acc": 0.24902216427640156,
"acc_stderr": 0.01104489226404077,
"acc_norm": 0.24902216427640156,
"acc_norm_stderr": 0.01104489226404077
},
"harness|ko_mmlu_high_school_us_history|5": {
"acc": 0.24509803921568626,
"acc_stderr": 0.030190282453501933,
"acc_norm": 0.24509803921568626,
"acc_norm_stderr": 0.030190282453501933
},
"harness|ko_mmlu_high_school_european_history|5": {
"acc": 0.2909090909090909,
"acc_stderr": 0.03546563019624335,
"acc_norm": 0.2909090909090909,
"acc_norm_stderr": 0.03546563019624335
},
"harness|ko_truthfulqa_mc|0": {
"mc1": 0.29253365973072215,
"mc1_stderr": 0.015925597445286165,
"mc2": 0.4600456246073735,
"mc2_stderr": 0.014958372484169768
},
"harness|ko_commongen_v2|2": {
"acc": 0.3600944510035419,
"acc_stderr": 0.01650368672044008,
"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": "krevas/LDCC-Instruct-Llama-2-ko-13B-v4.1.8",
"model_sha": "424602efb3cb7b2c4e901d325113335c002a1da2",
"model_dtype": "torch.float16",
"lighteval_sha": "",
"num_few_shot_default": 0,
"num_fewshot_seeds": 1,
"override_batch_size": 1,
"max_samples": null
}
}