results / Edentns /DataVortexM-7B-Instruct-v0.1 /result_2024-01-04 00:35:22.json
open-ko-llm-bot's picture
Add results for 2024-01-04 00:35:22
1c76812
raw history blame
No virus
17.9 kB
{
"results": {
"harness|ko_arc_challenge|25": {
"acc": 0.2901023890784983,
"acc_stderr": 0.013261573677520773,
"acc_norm": 0.3412969283276451,
"acc_norm_stderr": 0.01385583128749772
},
"harness|ko_hellaswag|10": {
"acc": 0.33827922724556864,
"acc_stderr": 0.004721571443354458,
"acc_norm": 0.4235212109141605,
"acc_norm_stderr": 0.0049310654341736815
},
"harness|ko_mmlu_world_religions|5": {
"acc": 0.39766081871345027,
"acc_stderr": 0.0375363895576169,
"acc_norm": 0.39766081871345027,
"acc_norm_stderr": 0.0375363895576169
},
"harness|ko_mmlu_management|5": {
"acc": 0.5048543689320388,
"acc_stderr": 0.04950504382128921,
"acc_norm": 0.5048543689320388,
"acc_norm_stderr": 0.04950504382128921
},
"harness|ko_mmlu_miscellaneous|5": {
"acc": 0.41890166028097064,
"acc_stderr": 0.017643205052377167,
"acc_norm": 0.41890166028097064,
"acc_norm_stderr": 0.017643205052377167
},
"harness|ko_mmlu_anatomy|5": {
"acc": 0.3333333333333333,
"acc_stderr": 0.04072314811876837,
"acc_norm": 0.3333333333333333,
"acc_norm_stderr": 0.04072314811876837
},
"harness|ko_mmlu_abstract_algebra|5": {
"acc": 0.28,
"acc_stderr": 0.045126085985421276,
"acc_norm": 0.28,
"acc_norm_stderr": 0.045126085985421276
},
"harness|ko_mmlu_conceptual_physics|5": {
"acc": 0.42127659574468085,
"acc_stderr": 0.03227834510146267,
"acc_norm": 0.42127659574468085,
"acc_norm_stderr": 0.03227834510146267
},
"harness|ko_mmlu_virology|5": {
"acc": 0.3795180722891566,
"acc_stderr": 0.037777988227480165,
"acc_norm": 0.3795180722891566,
"acc_norm_stderr": 0.037777988227480165
},
"harness|ko_mmlu_philosophy|5": {
"acc": 0.38263665594855306,
"acc_stderr": 0.02760468902858198,
"acc_norm": 0.38263665594855306,
"acc_norm_stderr": 0.02760468902858198
},
"harness|ko_mmlu_human_aging|5": {
"acc": 0.3901345291479821,
"acc_stderr": 0.03273766725459157,
"acc_norm": 0.3901345291479821,
"acc_norm_stderr": 0.03273766725459157
},
"harness|ko_mmlu_human_sexuality|5": {
"acc": 0.40458015267175573,
"acc_stderr": 0.043046937953806645,
"acc_norm": 0.40458015267175573,
"acc_norm_stderr": 0.043046937953806645
},
"harness|ko_mmlu_medical_genetics|5": {
"acc": 0.37,
"acc_stderr": 0.04852365870939099,
"acc_norm": 0.37,
"acc_norm_stderr": 0.04852365870939099
},
"harness|ko_mmlu_high_school_geography|5": {
"acc": 0.4444444444444444,
"acc_stderr": 0.035402943770953675,
"acc_norm": 0.4444444444444444,
"acc_norm_stderr": 0.035402943770953675
},
"harness|ko_mmlu_electrical_engineering|5": {
"acc": 0.45517241379310347,
"acc_stderr": 0.04149886942192117,
"acc_norm": 0.45517241379310347,
"acc_norm_stderr": 0.04149886942192117
},
"harness|ko_mmlu_college_physics|5": {
"acc": 0.24509803921568626,
"acc_stderr": 0.042801058373643966,
"acc_norm": 0.24509803921568626,
"acc_norm_stderr": 0.042801058373643966
},
"harness|ko_mmlu_high_school_microeconomics|5": {
"acc": 0.44537815126050423,
"acc_stderr": 0.032284106267163895,
"acc_norm": 0.44537815126050423,
"acc_norm_stderr": 0.032284106267163895
},
"harness|ko_mmlu_high_school_macroeconomics|5": {
"acc": 0.36153846153846153,
"acc_stderr": 0.02435958146539697,
"acc_norm": 0.36153846153846153,
"acc_norm_stderr": 0.02435958146539697
},
"harness|ko_mmlu_computer_security|5": {
"acc": 0.53,
"acc_stderr": 0.05016135580465919,
"acc_norm": 0.53,
"acc_norm_stderr": 0.05016135580465919
},
"harness|ko_mmlu_global_facts|5": {
"acc": 0.32,
"acc_stderr": 0.04688261722621505,
"acc_norm": 0.32,
"acc_norm_stderr": 0.04688261722621505
},
"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": 0.33004926108374383,
"acc_stderr": 0.03308530426228258,
"acc_norm": 0.33004926108374383,
"acc_norm_stderr": 0.03308530426228258
},
"harness|ko_mmlu_high_school_biology|5": {
"acc": 0.36451612903225805,
"acc_stderr": 0.027379871229943252,
"acc_norm": 0.36451612903225805,
"acc_norm_stderr": 0.027379871229943252
},
"harness|ko_mmlu_marketing|5": {
"acc": 0.6196581196581197,
"acc_stderr": 0.031804252043840985,
"acc_norm": 0.6196581196581197,
"acc_norm_stderr": 0.031804252043840985
},
"harness|ko_mmlu_clinical_knowledge|5": {
"acc": 0.37358490566037733,
"acc_stderr": 0.02977308271331988,
"acc_norm": 0.37358490566037733,
"acc_norm_stderr": 0.02977308271331988
},
"harness|ko_mmlu_public_relations|5": {
"acc": 0.45454545454545453,
"acc_stderr": 0.04769300568972743,
"acc_norm": 0.45454545454545453,
"acc_norm_stderr": 0.04769300568972743
},
"harness|ko_mmlu_high_school_mathematics|5": {
"acc": 0.3074074074074074,
"acc_stderr": 0.028133252578815646,
"acc_norm": 0.3074074074074074,
"acc_norm_stderr": 0.028133252578815646
},
"harness|ko_mmlu_high_school_physics|5": {
"acc": 0.33112582781456956,
"acc_stderr": 0.038425817186598696,
"acc_norm": 0.33112582781456956,
"acc_norm_stderr": 0.038425817186598696
},
"harness|ko_mmlu_sociology|5": {
"acc": 0.5522388059701493,
"acc_stderr": 0.03516184772952167,
"acc_norm": 0.5522388059701493,
"acc_norm_stderr": 0.03516184772952167
},
"harness|ko_mmlu_college_medicine|5": {
"acc": 0.32947976878612717,
"acc_stderr": 0.03583901754736413,
"acc_norm": 0.32947976878612717,
"acc_norm_stderr": 0.03583901754736413
},
"harness|ko_mmlu_elementary_mathematics|5": {
"acc": 0.3333333333333333,
"acc_stderr": 0.024278568024307695,
"acc_norm": 0.3333333333333333,
"acc_norm_stderr": 0.024278568024307695
},
"harness|ko_mmlu_college_biology|5": {
"acc": 0.2708333333333333,
"acc_stderr": 0.03716177437566018,
"acc_norm": 0.2708333333333333,
"acc_norm_stderr": 0.03716177437566018
},
"harness|ko_mmlu_college_chemistry|5": {
"acc": 0.29,
"acc_stderr": 0.045604802157206845,
"acc_norm": 0.29,
"acc_norm_stderr": 0.045604802157206845
},
"harness|ko_mmlu_us_foreign_policy|5": {
"acc": 0.62,
"acc_stderr": 0.04878317312145633,
"acc_norm": 0.62,
"acc_norm_stderr": 0.04878317312145633
},
"harness|ko_mmlu_moral_disputes|5": {
"acc": 0.43352601156069365,
"acc_stderr": 0.026680134761679214,
"acc_norm": 0.43352601156069365,
"acc_norm_stderr": 0.026680134761679214
},
"harness|ko_mmlu_logical_fallacies|5": {
"acc": 0.4294478527607362,
"acc_stderr": 0.038890666191127216,
"acc_norm": 0.4294478527607362,
"acc_norm_stderr": 0.038890666191127216
},
"harness|ko_mmlu_prehistory|5": {
"acc": 0.41975308641975306,
"acc_stderr": 0.027460099557005135,
"acc_norm": 0.41975308641975306,
"acc_norm_stderr": 0.027460099557005135
},
"harness|ko_mmlu_college_mathematics|5": {
"acc": 0.31,
"acc_stderr": 0.04648231987117316,
"acc_norm": 0.31,
"acc_norm_stderr": 0.04648231987117316
},
"harness|ko_mmlu_high_school_government_and_politics|5": {
"acc": 0.43005181347150256,
"acc_stderr": 0.03572954333144808,
"acc_norm": 0.43005181347150256,
"acc_norm_stderr": 0.03572954333144808
},
"harness|ko_mmlu_econometrics|5": {
"acc": 0.2631578947368421,
"acc_stderr": 0.04142439719489362,
"acc_norm": 0.2631578947368421,
"acc_norm_stderr": 0.04142439719489362
},
"harness|ko_mmlu_high_school_psychology|5": {
"acc": 0.4018348623853211,
"acc_stderr": 0.02102010617299701,
"acc_norm": 0.4018348623853211,
"acc_norm_stderr": 0.02102010617299701
},
"harness|ko_mmlu_formal_logic|5": {
"acc": 0.3333333333333333,
"acc_stderr": 0.04216370213557835,
"acc_norm": 0.3333333333333333,
"acc_norm_stderr": 0.04216370213557835
},
"harness|ko_mmlu_nutrition|5": {
"acc": 0.40522875816993464,
"acc_stderr": 0.028110928492809075,
"acc_norm": 0.40522875816993464,
"acc_norm_stderr": 0.028110928492809075
},
"harness|ko_mmlu_business_ethics|5": {
"acc": 0.43,
"acc_stderr": 0.04975698519562428,
"acc_norm": 0.43,
"acc_norm_stderr": 0.04975698519562428
},
"harness|ko_mmlu_international_law|5": {
"acc": 0.5454545454545454,
"acc_stderr": 0.045454545454545456,
"acc_norm": 0.5454545454545454,
"acc_norm_stderr": 0.045454545454545456
},
"harness|ko_mmlu_astronomy|5": {
"acc": 0.32894736842105265,
"acc_stderr": 0.03823428969926606,
"acc_norm": 0.32894736842105265,
"acc_norm_stderr": 0.03823428969926606
},
"harness|ko_mmlu_professional_psychology|5": {
"acc": 0.32189542483660133,
"acc_stderr": 0.018901015322093095,
"acc_norm": 0.32189542483660133,
"acc_norm_stderr": 0.018901015322093095
},
"harness|ko_mmlu_professional_accounting|5": {
"acc": 0.36524822695035464,
"acc_stderr": 0.02872386385328128,
"acc_norm": 0.36524822695035464,
"acc_norm_stderr": 0.02872386385328128
},
"harness|ko_mmlu_machine_learning|5": {
"acc": 0.36607142857142855,
"acc_stderr": 0.0457237235873743,
"acc_norm": 0.36607142857142855,
"acc_norm_stderr": 0.0457237235873743
},
"harness|ko_mmlu_high_school_statistics|5": {
"acc": 0.3287037037037037,
"acc_stderr": 0.03203614084670058,
"acc_norm": 0.3287037037037037,
"acc_norm_stderr": 0.03203614084670058
},
"harness|ko_mmlu_moral_scenarios|5": {
"acc": 0.25921787709497207,
"acc_stderr": 0.014655780837497722,
"acc_norm": 0.25921787709497207,
"acc_norm_stderr": 0.014655780837497722
},
"harness|ko_mmlu_college_computer_science|5": {
"acc": 0.33,
"acc_stderr": 0.04725815626252605,
"acc_norm": 0.33,
"acc_norm_stderr": 0.04725815626252605
},
"harness|ko_mmlu_high_school_computer_science|5": {
"acc": 0.52,
"acc_stderr": 0.05021167315686779,
"acc_norm": 0.52,
"acc_norm_stderr": 0.05021167315686779
},
"harness|ko_mmlu_professional_medicine|5": {
"acc": 0.35661764705882354,
"acc_stderr": 0.02909720956841196,
"acc_norm": 0.35661764705882354,
"acc_norm_stderr": 0.02909720956841196
},
"harness|ko_mmlu_security_studies|5": {
"acc": 0.46530612244897956,
"acc_stderr": 0.03193207024425314,
"acc_norm": 0.46530612244897956,
"acc_norm_stderr": 0.03193207024425314
},
"harness|ko_mmlu_high_school_world_history|5": {
"acc": 0.5063291139240507,
"acc_stderr": 0.0325446201076786,
"acc_norm": 0.5063291139240507,
"acc_norm_stderr": 0.0325446201076786
},
"harness|ko_mmlu_professional_law|5": {
"acc": 0.2940026075619296,
"acc_stderr": 0.011636062953698602,
"acc_norm": 0.2940026075619296,
"acc_norm_stderr": 0.011636062953698602
},
"harness|ko_mmlu_high_school_us_history|5": {
"acc": 0.23039215686274508,
"acc_stderr": 0.02955429260569506,
"acc_norm": 0.23039215686274508,
"acc_norm_stderr": 0.02955429260569506
},
"harness|ko_mmlu_high_school_european_history|5": {
"acc": 0.2606060606060606,
"acc_stderr": 0.03427743175816524,
"acc_norm": 0.2606060606060606,
"acc_norm_stderr": 0.03427743175816524
},
"harness|ko_truthfulqa_mc|0": {
"mc1": 0.2876376988984088,
"mc1_stderr": 0.01584631510139481,
"mc2": 0.45464957639603176,
"mc2_stderr": 0.015510382231630185
},
"harness|ko_commongen_v2|2": {
"acc": 0.31995277449822906,
"acc_stderr": 0.01603715384028053,
"acc_norm": 0.3837072018890201,
"acc_norm_stderr": 0.01671892463723183
}
},
"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": "Edentns/DataVortexM-7B-Instruct-v0.1",
"model_sha": "8a43dc63c63ee8e03297327e2fc3e040c3997c0c",
"model_dtype": "torch.float16",
"lighteval_sha": "",
"num_few_shot_default": 0,
"num_fewshot_seeds": 1,
"override_batch_size": 1,
"max_samples": null
}
}