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README.md
CHANGED
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@@ -3,8 +3,8 @@ pretty_name: Evaluation run of lmsys/vicuna-7b-v1.5-16k
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dataset_summary: "Dataset automatically created during the evaluation run of model\
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\ [lmsys/vicuna-7b-v1.5-16k](https://huggingface.co/lmsys/vicuna-7b-v1.5-16k) on\
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\ the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
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\nThe dataset is composed of
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\ evaluated task.\n\nThe dataset has been created from
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\ found as a specific split in each configuration, the split being named using the\
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\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
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\nAn additional configuration \"results\" store all the aggregated results of the\
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@@ -12,173 +12,20 @@ dataset_summary: "Dataset automatically created during the evaluation run of mod
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\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
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\nTo load the details from a run, you can for instance do the following:\n```python\n\
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from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_lmsys__vicuna-7b-v1.5-16k\"\
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,\n\t\"
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\ \"
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\
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\ },\n \"harness|
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\ \"
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\
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: {\n \"acc\": 0.28,\n \"acc_stderr\": 0.04512608598542128,\n \
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\ \"acc_norm\": 0.28,\n \"acc_norm_stderr\": 0.04512608598542128\n \
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\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.4222222222222222,\n\
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\ \"acc_stderr\": 0.04266763404099582,\n \"acc_norm\": 0.4222222222222222,\n\
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\ \"acc_norm_stderr\": 0.04266763404099582\n },\n \"harness|hendrycksTest-astronomy|5\"\
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: {\n \"acc\": 0.4934210526315789,\n \"acc_stderr\": 0.040685900502249704,\n\
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\ \"acc_norm\": 0.4934210526315789,\n \"acc_norm_stderr\": 0.040685900502249704\n\
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\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.54,\n\
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\ \"acc_stderr\": 0.05009082659620333,\n \"acc_norm\": 0.54,\n \
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\ \"acc_norm_stderr\": 0.05009082659620333\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
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: {\n \"acc\": 0.5132075471698113,\n \"acc_stderr\": 0.030762134874500476,\n\
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\ \"acc_norm\": 0.5132075471698113,\n \"acc_norm_stderr\": 0.030762134874500476\n\
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\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.5,\n\
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\ \"acc_stderr\": 0.04181210050035455,\n \"acc_norm\": 0.5,\n \
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\ \"acc_norm_stderr\": 0.04181210050035455\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
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: {\n \"acc\": 0.28,\n \"acc_stderr\": 0.04512608598542127,\n \
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\ \"acc_norm\": 0.28,\n \"acc_norm_stderr\": 0.04512608598542127\n \
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\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
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: 0.42,\n \"acc_stderr\": 0.049604496374885836,\n \"acc_norm\": 0.42,\n\
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\ \"acc_norm_stderr\": 0.049604496374885836\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
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: {\n \"acc\": 0.27,\n \"acc_stderr\": 0.044619604333847394,\n \
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\ \"acc_norm\": 0.27,\n \"acc_norm_stderr\": 0.044619604333847394\n \
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\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.4277456647398844,\n\
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\ \"acc_stderr\": 0.03772446857518027,\n \"acc_norm\": 0.4277456647398844,\n\
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\ \"acc_norm_stderr\": 0.03772446857518027\n },\n \"harness|hendrycksTest-college_physics|5\"\
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: {\n \"acc\": 0.2549019607843137,\n \"acc_stderr\": 0.043364327079931785,\n\
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\ \"acc_norm\": 0.2549019607843137,\n \"acc_norm_stderr\": 0.043364327079931785\n\
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\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
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\ 0.59,\n \"acc_stderr\": 0.049431107042371025,\n \"acc_norm\": 0.59,\n\
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\ \"acc_norm_stderr\": 0.049431107042371025\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
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: {\n \"acc\": 0.425531914893617,\n \"acc_stderr\": 0.03232146916224468,\n\
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\ \"acc_norm\": 0.425531914893617,\n \"acc_norm_stderr\": 0.03232146916224468\n\
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\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.40350877192982454,\n\
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\ \"acc_stderr\": 0.046151869625837026,\n \"acc_norm\": 0.40350877192982454,\n\
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\ \"acc_norm_stderr\": 0.046151869625837026\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
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: {\n \"acc\": 0.4827586206896552,\n \"acc_stderr\": 0.04164188720169377,\n\
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\ \"acc_norm\": 0.4827586206896552,\n \"acc_norm_stderr\": 0.04164188720169377\n\
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\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
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: 0.31746031746031744,\n \"acc_stderr\": 0.02397386199899206,\n \"\
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acc_norm\": 0.31746031746031744,\n \"acc_norm_stderr\": 0.02397386199899206\n\
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\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.30952380952380953,\n\
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\ \"acc_stderr\": 0.04134913018303316,\n \"acc_norm\": 0.30952380952380953,\n\
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\ \"acc_norm_stderr\": 0.04134913018303316\n },\n \"harness|hendrycksTest-global_facts|5\"\
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: {\n \"acc\": 0.33,\n \"acc_stderr\": 0.047258156262526045,\n \
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\ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.047258156262526045\n \
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\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\
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: 0.5483870967741935,\n \"acc_stderr\": 0.028310500348568392,\n \"\
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acc_norm\": 0.5483870967741935,\n \"acc_norm_stderr\": 0.028310500348568392\n\
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\ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\
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: 0.3399014778325123,\n \"acc_stderr\": 0.033327690684107895,\n \"\
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acc_norm\": 0.3399014778325123,\n \"acc_norm_stderr\": 0.033327690684107895\n\
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\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
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\ \"acc\": 0.48,\n \"acc_stderr\": 0.050211673156867795,\n \"acc_norm\"\
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: 0.48,\n \"acc_norm_stderr\": 0.050211673156867795\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
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: {\n \"acc\": 0.6484848484848484,\n \"acc_stderr\": 0.0372820699868265,\n\
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\ \"acc_norm\": 0.6484848484848484,\n \"acc_norm_stderr\": 0.0372820699868265\n\
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\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
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: 0.6111111111111112,\n \"acc_stderr\": 0.0347327959083696,\n \"acc_norm\"\
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: 0.6111111111111112,\n \"acc_norm_stderr\": 0.0347327959083696\n },\n\
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\ \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n \
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\ \"acc\": 0.694300518134715,\n \"acc_stderr\": 0.033248379397581594,\n\
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\ \"acc_norm\": 0.694300518134715,\n \"acc_norm_stderr\": 0.033248379397581594\n\
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\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
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\ \"acc\": 0.45384615384615384,\n \"acc_stderr\": 0.02524277098712618,\n\
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\ \"acc_norm\": 0.45384615384615384,\n \"acc_norm_stderr\": 0.02524277098712618\n\
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\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
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acc\": 0.2851851851851852,\n \"acc_stderr\": 0.027528599210340496,\n \
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\ \"acc_norm\": 0.2851851851851852,\n \"acc_norm_stderr\": 0.027528599210340496\n\
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\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
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\ \"acc\": 0.4495798319327731,\n \"acc_stderr\": 0.03231293497137707,\n \
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\ \"acc_norm\": 0.4495798319327731,\n \"acc_norm_stderr\": 0.03231293497137707\n\
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\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
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: 0.2781456953642384,\n \"acc_stderr\": 0.03658603262763743,\n \"\
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acc_norm\": 0.2781456953642384,\n \"acc_norm_stderr\": 0.03658603262763743\n\
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\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
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: 0.6770642201834862,\n \"acc_stderr\": 0.020048115923415318,\n \"\
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acc_norm\": 0.6770642201834862,\n \"acc_norm_stderr\": 0.020048115923415318\n\
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\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
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: 0.3611111111111111,\n \"acc_stderr\": 0.03275773486100999,\n \"\
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acc_norm\": 0.3611111111111111,\n \"acc_norm_stderr\": 0.03275773486100999\n\
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\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
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: 0.6519607843137255,\n \"acc_stderr\": 0.03343311240488419,\n \"\
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acc_norm\": 0.6519607843137255,\n \"acc_norm_stderr\": 0.03343311240488419\n\
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\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
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acc\": 0.7130801687763713,\n \"acc_stderr\": 0.029443773022594693,\n \
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\ \"acc_norm\": 0.7130801687763713,\n \"acc_norm_stderr\": 0.029443773022594693\n\
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\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6188340807174888,\n\
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\ \"acc_stderr\": 0.03259625118416828,\n \"acc_norm\": 0.6188340807174888,\n\
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\ \"acc_norm_stderr\": 0.03259625118416828\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
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: {\n \"acc\": 0.5725190839694656,\n \"acc_stderr\": 0.04338920305792401,\n\
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\ \"acc_norm\": 0.5725190839694656,\n \"acc_norm_stderr\": 0.04338920305792401\n\
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\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
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\ 0.6033057851239669,\n \"acc_stderr\": 0.044658697805310094,\n \"\
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acc_norm\": 0.6033057851239669,\n \"acc_norm_stderr\": 0.044658697805310094\n\
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\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.5555555555555556,\n\
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\ \"acc_stderr\": 0.04803752235190192,\n \"acc_norm\": 0.5555555555555556,\n\
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\ \"acc_norm_stderr\": 0.04803752235190192\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
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: {\n \"acc\": 0.5460122699386503,\n \"acc_stderr\": 0.0391170190467718,\n\
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\ \"acc_norm\": 0.5460122699386503,\n \"acc_norm_stderr\": 0.0391170190467718\n\
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\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.38392857142857145,\n\
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\ \"acc_stderr\": 0.04616143075028547,\n \"acc_norm\": 0.38392857142857145,\n\
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\ \"acc_norm_stderr\": 0.04616143075028547\n },\n \"harness|hendrycksTest-management|5\"\
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: {\n \"acc\": 0.6504854368932039,\n \"acc_stderr\": 0.047211885060971716,\n\
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\ \"acc_norm\": 0.6504854368932039,\n \"acc_norm_stderr\": 0.047211885060971716\n\
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\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.7435897435897436,\n\
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\ \"acc_stderr\": 0.028605953702004243,\n \"acc_norm\": 0.7435897435897436,\n\
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\ \"acc_norm_stderr\": 0.028605953702004243\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
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: {\n \"acc\": 0.57,\n \"acc_stderr\": 0.049756985195624284,\n \
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\ \"acc_norm\": 0.57,\n \"acc_norm_stderr\": 0.049756985195624284\n \
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\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.6551724137931034,\n\
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\ \"acc_stderr\": 0.016997123346113443,\n \"acc_norm\": 0.6551724137931034,\n\
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\ \"acc_norm_stderr\": 0.016997123346113443\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
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: {\n \"acc\": 0.5346820809248555,\n \"acc_stderr\": 0.02685425792825887,\n\
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\ \"acc_norm\": 0.5346820809248555,\n \"acc_norm_stderr\": 0.02685425792825887\n\
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\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.24804469273743016,\n\
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\ \"acc_stderr\": 0.01444415780826144,\n \"acc_norm\": 0.24804469273743016,\n\
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\ \"acc_norm_stderr\": 0.01444415780826144\n },\n \"harness|hendrycksTest-nutrition|5\"\
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: {\n \"acc\": 0.5784313725490197,\n \"acc_stderr\": 0.028275490156791462,\n\
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\ \"acc_norm\": 0.5784313725490197,\n \"acc_norm_stderr\": 0.028275490156791462\n\
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\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.5401929260450161,\n\
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\ \"acc_stderr\": 0.028306190403305696,\n \"acc_norm\": 0.5401929260450161,\n\
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\ \"acc_norm_stderr\": 0.028306190403305696\n },\n \"harness|hendrycksTest-prehistory|5\"\
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: {\n \"acc\": 0.5462962962962963,\n \"acc_stderr\": 0.0277012284685426,\n\
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\ \"acc_norm\": 0.5462962962962963,\n \"acc_norm_stderr\": 0.0277012284685426\n\
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\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
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acc\": 0.3971631205673759,\n \"acc_stderr\": 0.029189805673587105,\n \
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\ \"acc_norm\": 0.3971631205673759,\n \"acc_norm_stderr\": 0.029189805673587105\n\
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\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.35919165580182527,\n\
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\ \"acc_stderr\": 0.012253386187584253,\n \"acc_norm\": 0.35919165580182527,\n\
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\ \"acc_norm_stderr\": 0.012253386187584253\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
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: {\n \"acc\": 0.4852941176470588,\n \"acc_stderr\": 0.03035969707904611,\n\
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\ \"acc_norm\": 0.4852941176470588,\n \"acc_norm_stderr\": 0.03035969707904611\n\
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\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
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acc\": 0.48366013071895425,\n \"acc_stderr\": 0.020217030653186457,\n \
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\ \"acc_norm\": 0.48366013071895425,\n \"acc_norm_stderr\": 0.020217030653186457\n\
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\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6,\n\
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\ \"acc_stderr\": 0.0469237132203465,\n \"acc_norm\": 0.6,\n \
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\ \"acc_norm_stderr\": 0.0469237132203465\n },\n \"harness|hendrycksTest-security_studies|5\"\
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: {\n \"acc\": 0.5918367346938775,\n \"acc_stderr\": 0.03146465712827424,\n\
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\ \"acc_norm\": 0.5918367346938775,\n \"acc_norm_stderr\": 0.03146465712827424\n\
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\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.6467661691542289,\n\
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\ \"acc_stderr\": 0.03379790611796777,\n \"acc_norm\": 0.6467661691542289,\n\
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\ \"acc_norm_stderr\": 0.03379790611796777\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
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: {\n \"acc\": 0.74,\n \"acc_stderr\": 0.04408440022768079,\n \
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\ \"acc_norm\": 0.74,\n \"acc_norm_stderr\": 0.04408440022768079\n \
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\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.4397590361445783,\n\
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\ \"acc_stderr\": 0.03864139923699121,\n \"acc_norm\": 0.4397590361445783,\n\
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\ \"acc_norm_stderr\": 0.03864139923699121\n },\n \"harness|hendrycksTest-world_religions|5\"\
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: {\n \"acc\": 0.6783625730994152,\n \"acc_stderr\": 0.03582529442573122,\n\
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\ \"acc_norm\": 0.6783625730994152,\n \"acc_norm_stderr\": 0.03582529442573122\n\
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\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.33659730722154224,\n\
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\ \"mc1_stderr\": 0.016542412809494887,\n \"mc2\": 0.5041278188644791,\n\
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\ \"mc2_stderr\": 0.01576728095387478\n }\n}\n```"
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repo_url: https://huggingface.co/lmsys/vicuna-7b-v1.5-16k
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leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
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point_of_contact: clementine@hf.co
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- split: latest
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path:
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- '**/details_harness|arc:challenge|25_2023-08-18T07:58:23.659880.parquet'
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- config_name: harness_hellaswag_10
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data_files:
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- split: 2023_08_18T07_58_23.659880
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@@ -783,14 +646,25 @@ configs:
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- split: latest
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path:
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- '**/details_harness|truthfulqa:mc|0_2023-08-18T07:58:23.659880.parquet'
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- config_name: results
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data_files:
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- split: 2023_08_18T07_58_23.659880
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| 789 |
path:
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| 790 |
- results_2023-08-18T07:58:23.659880.parquet
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- split: latest
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path:
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-
- results_2023-
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| 794 |
---
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| 795 |
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| 796 |
# Dataset Card for Evaluation run of lmsys/vicuna-7b-v1.5-16k
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|
@@ -807,9 +681,9 @@ configs:
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| 807 |
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| 808 |
Dataset automatically created during the evaluation run of model [lmsys/vicuna-7b-v1.5-16k](https://huggingface.co/lmsys/vicuna-7b-v1.5-16k) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
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The dataset is composed of
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-
The dataset has been created from
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An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
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@@ -817,385 +691,37 @@ To load the details from a run, you can for instance do the following:
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| 817 |
```python
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| 818 |
from datasets import load_dataset
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| 819 |
data = load_dataset("open-llm-leaderboard/details_lmsys__vicuna-7b-v1.5-16k",
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-
"
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| 821 |
split="train")
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| 822 |
```
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| 823 |
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| 824 |
## Latest results
|
| 825 |
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| 826 |
-
These are the [latest results from run 2023-
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| 827 |
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| 828 |
```python
|
| 829 |
{
|
| 830 |
"all": {
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| 831 |
-
"
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-
"
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"
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"
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"
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"
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"
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"
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-
"
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-
"
|
| 851 |
-
},
|
| 852 |
-
"harness|hendrycksTest-abstract_algebra|5": {
|
| 853 |
-
"acc": 0.28,
|
| 854 |
-
"acc_stderr": 0.04512608598542128,
|
| 855 |
-
"acc_norm": 0.28,
|
| 856 |
-
"acc_norm_stderr": 0.04512608598542128
|
| 857 |
-
},
|
| 858 |
-
"harness|hendrycksTest-anatomy|5": {
|
| 859 |
-
"acc": 0.4222222222222222,
|
| 860 |
-
"acc_stderr": 0.04266763404099582,
|
| 861 |
-
"acc_norm": 0.4222222222222222,
|
| 862 |
-
"acc_norm_stderr": 0.04266763404099582
|
| 863 |
-
},
|
| 864 |
-
"harness|hendrycksTest-astronomy|5": {
|
| 865 |
-
"acc": 0.4934210526315789,
|
| 866 |
-
"acc_stderr": 0.040685900502249704,
|
| 867 |
-
"acc_norm": 0.4934210526315789,
|
| 868 |
-
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|
| 869 |
-
},
|
| 870 |
-
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|
| 871 |
-
"acc": 0.54,
|
| 872 |
-
"acc_stderr": 0.05009082659620333,
|
| 873 |
-
"acc_norm": 0.54,
|
| 874 |
-
"acc_norm_stderr": 0.05009082659620333
|
| 875 |
-
},
|
| 876 |
-
"harness|hendrycksTest-clinical_knowledge|5": {
|
| 877 |
-
"acc": 0.5132075471698113,
|
| 878 |
-
"acc_stderr": 0.030762134874500476,
|
| 879 |
-
"acc_norm": 0.5132075471698113,
|
| 880 |
-
"acc_norm_stderr": 0.030762134874500476
|
| 881 |
-
},
|
| 882 |
-
"harness|hendrycksTest-college_biology|5": {
|
| 883 |
-
"acc": 0.5,
|
| 884 |
-
"acc_stderr": 0.04181210050035455,
|
| 885 |
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"acc_norm": 0.5,
|
| 886 |
-
"acc_norm_stderr": 0.04181210050035455
|
| 887 |
-
},
|
| 888 |
-
"harness|hendrycksTest-college_chemistry|5": {
|
| 889 |
-
"acc": 0.28,
|
| 890 |
-
"acc_stderr": 0.04512608598542127,
|
| 891 |
-
"acc_norm": 0.28,
|
| 892 |
-
"acc_norm_stderr": 0.04512608598542127
|
| 893 |
-
},
|
| 894 |
-
"harness|hendrycksTest-college_computer_science|5": {
|
| 895 |
-
"acc": 0.42,
|
| 896 |
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"acc_stderr": 0.049604496374885836,
|
| 897 |
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"acc_norm": 0.42,
|
| 898 |
-
"acc_norm_stderr": 0.049604496374885836
|
| 899 |
-
},
|
| 900 |
-
"harness|hendrycksTest-college_mathematics|5": {
|
| 901 |
-
"acc": 0.27,
|
| 902 |
-
"acc_stderr": 0.044619604333847394,
|
| 903 |
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"acc_norm": 0.27,
|
| 904 |
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"acc_norm_stderr": 0.044619604333847394
|
| 905 |
-
},
|
| 906 |
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"harness|hendrycksTest-college_medicine|5": {
|
| 907 |
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"acc": 0.4277456647398844,
|
| 908 |
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"acc_stderr": 0.03772446857518027,
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| 909 |
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"acc_norm": 0.4277456647398844,
|
| 910 |
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"acc_norm_stderr": 0.03772446857518027
|
| 911 |
-
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|
| 912 |
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"harness|hendrycksTest-college_physics|5": {
|
| 913 |
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"acc": 0.2549019607843137,
|
| 914 |
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| 915 |
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"acc_norm": 0.2549019607843137,
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| 916 |
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|
| 917 |
-
},
|
| 918 |
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"harness|hendrycksTest-computer_security|5": {
|
| 919 |
-
"acc": 0.59,
|
| 920 |
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|
| 921 |
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"acc_norm": 0.59,
|
| 922 |
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"acc_norm_stderr": 0.049431107042371025
|
| 923 |
-
},
|
| 924 |
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"harness|hendrycksTest-conceptual_physics|5": {
|
| 925 |
-
"acc": 0.425531914893617,
|
| 926 |
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|
| 928 |
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|
| 929 |
-
},
|
| 930 |
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"harness|hendrycksTest-econometrics|5": {
|
| 931 |
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|
| 932 |
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| 934 |
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|
| 935 |
-
},
|
| 936 |
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"harness|hendrycksTest-electrical_engineering|5": {
|
| 937 |
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|
| 938 |
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| 940 |
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|
| 941 |
-
},
|
| 942 |
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"harness|hendrycksTest-elementary_mathematics|5": {
|
| 943 |
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|
| 944 |
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|
| 946 |
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|
| 947 |
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},
|
| 948 |
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"harness|hendrycksTest-formal_logic|5": {
|
| 949 |
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|
| 950 |
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| 952 |
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|
| 953 |
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},
|
| 954 |
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"harness|hendrycksTest-global_facts|5": {
|
| 955 |
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"acc": 0.33,
|
| 956 |
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|
| 957 |
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| 958 |
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|
| 959 |
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|
| 960 |
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|
| 961 |
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| 962 |
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| 964 |
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| 965 |
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| 966 |
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| 967 |
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| 968 |
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| 970 |
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| 971 |
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},
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| 972 |
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"harness|hendrycksTest-high_school_computer_science|5": {
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| 973 |
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| 974 |
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|
| 976 |
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|
| 977 |
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},
|
| 978 |
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"harness|hendrycksTest-high_school_european_history|5": {
|
| 979 |
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"acc": 0.6484848484848484,
|
| 980 |
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|
| 983 |
-
},
|
| 984 |
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"harness|hendrycksTest-high_school_geography|5": {
|
| 985 |
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"acc": 0.6111111111111112,
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| 986 |
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| 988 |
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"acc_norm_stderr": 0.0347327959083696
|
| 989 |
-
},
|
| 990 |
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"harness|hendrycksTest-high_school_government_and_politics|5": {
|
| 991 |
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"acc": 0.694300518134715,
|
| 992 |
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| 994 |
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|
| 995 |
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},
|
| 996 |
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"harness|hendrycksTest-high_school_macroeconomics|5": {
|
| 997 |
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"acc": 0.45384615384615384,
|
| 998 |
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"acc_stderr": 0.02524277098712618,
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| 999 |
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|
| 1000 |
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|
| 1001 |
-
},
|
| 1002 |
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"harness|hendrycksTest-high_school_mathematics|5": {
|
| 1003 |
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"acc": 0.2851851851851852,
|
| 1004 |
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| 1006 |
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|
| 1007 |
-
},
|
| 1008 |
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"harness|hendrycksTest-high_school_microeconomics|5": {
|
| 1009 |
-
"acc": 0.4495798319327731,
|
| 1010 |
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|
| 1012 |
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|
| 1013 |
-
},
|
| 1014 |
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|
| 1015 |
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|
| 1016 |
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| 1018 |
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|
| 1019 |
-
},
|
| 1020 |
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"harness|hendrycksTest-high_school_psychology|5": {
|
| 1021 |
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|
| 1022 |
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|
| 1024 |
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|
| 1025 |
-
},
|
| 1026 |
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"harness|hendrycksTest-high_school_statistics|5": {
|
| 1027 |
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|
| 1028 |
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|
| 1029 |
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"acc_norm": 0.3611111111111111,
|
| 1030 |
-
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|
| 1031 |
-
},
|
| 1032 |
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"harness|hendrycksTest-high_school_us_history|5": {
|
| 1033 |
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|
| 1034 |
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|
| 1035 |
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|
| 1036 |
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|
| 1037 |
-
},
|
| 1038 |
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"harness|hendrycksTest-high_school_world_history|5": {
|
| 1039 |
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|
| 1040 |
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| 1042 |
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|
| 1043 |
-
},
|
| 1044 |
-
"harness|hendrycksTest-human_aging|5": {
|
| 1045 |
-
"acc": 0.6188340807174888,
|
| 1046 |
-
"acc_stderr": 0.03259625118416828,
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| 1047 |
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"acc_norm": 0.6188340807174888,
|
| 1048 |
-
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|
| 1049 |
-
},
|
| 1050 |
-
"harness|hendrycksTest-human_sexuality|5": {
|
| 1051 |
-
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|
| 1052 |
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|
| 1053 |
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|
| 1054 |
-
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|
| 1055 |
-
},
|
| 1056 |
-
"harness|hendrycksTest-international_law|5": {
|
| 1057 |
-
"acc": 0.6033057851239669,
|
| 1058 |
-
"acc_stderr": 0.044658697805310094,
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| 1059 |
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"acc_norm": 0.6033057851239669,
|
| 1060 |
-
"acc_norm_stderr": 0.044658697805310094
|
| 1061 |
-
},
|
| 1062 |
-
"harness|hendrycksTest-jurisprudence|5": {
|
| 1063 |
-
"acc": 0.5555555555555556,
|
| 1064 |
-
"acc_stderr": 0.04803752235190192,
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| 1065 |
-
"acc_norm": 0.5555555555555556,
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| 1066 |
-
"acc_norm_stderr": 0.04803752235190192
|
| 1067 |
-
},
|
| 1068 |
-
"harness|hendrycksTest-logical_fallacies|5": {
|
| 1069 |
-
"acc": 0.5460122699386503,
|
| 1070 |
-
"acc_stderr": 0.0391170190467718,
|
| 1071 |
-
"acc_norm": 0.5460122699386503,
|
| 1072 |
-
"acc_norm_stderr": 0.0391170190467718
|
| 1073 |
-
},
|
| 1074 |
-
"harness|hendrycksTest-machine_learning|5": {
|
| 1075 |
-
"acc": 0.38392857142857145,
|
| 1076 |
-
"acc_stderr": 0.04616143075028547,
|
| 1077 |
-
"acc_norm": 0.38392857142857145,
|
| 1078 |
-
"acc_norm_stderr": 0.04616143075028547
|
| 1079 |
-
},
|
| 1080 |
-
"harness|hendrycksTest-management|5": {
|
| 1081 |
-
"acc": 0.6504854368932039,
|
| 1082 |
-
"acc_stderr": 0.047211885060971716,
|
| 1083 |
-
"acc_norm": 0.6504854368932039,
|
| 1084 |
-
"acc_norm_stderr": 0.047211885060971716
|
| 1085 |
-
},
|
| 1086 |
-
"harness|hendrycksTest-marketing|5": {
|
| 1087 |
-
"acc": 0.7435897435897436,
|
| 1088 |
-
"acc_stderr": 0.028605953702004243,
|
| 1089 |
-
"acc_norm": 0.7435897435897436,
|
| 1090 |
-
"acc_norm_stderr": 0.028605953702004243
|
| 1091 |
-
},
|
| 1092 |
-
"harness|hendrycksTest-medical_genetics|5": {
|
| 1093 |
-
"acc": 0.57,
|
| 1094 |
-
"acc_stderr": 0.049756985195624284,
|
| 1095 |
-
"acc_norm": 0.57,
|
| 1096 |
-
"acc_norm_stderr": 0.049756985195624284
|
| 1097 |
-
},
|
| 1098 |
-
"harness|hendrycksTest-miscellaneous|5": {
|
| 1099 |
-
"acc": 0.6551724137931034,
|
| 1100 |
-
"acc_stderr": 0.016997123346113443,
|
| 1101 |
-
"acc_norm": 0.6551724137931034,
|
| 1102 |
-
"acc_norm_stderr": 0.016997123346113443
|
| 1103 |
-
},
|
| 1104 |
-
"harness|hendrycksTest-moral_disputes|5": {
|
| 1105 |
-
"acc": 0.5346820809248555,
|
| 1106 |
-
"acc_stderr": 0.02685425792825887,
|
| 1107 |
-
"acc_norm": 0.5346820809248555,
|
| 1108 |
-
"acc_norm_stderr": 0.02685425792825887
|
| 1109 |
-
},
|
| 1110 |
-
"harness|hendrycksTest-moral_scenarios|5": {
|
| 1111 |
-
"acc": 0.24804469273743016,
|
| 1112 |
-
"acc_stderr": 0.01444415780826144,
|
| 1113 |
-
"acc_norm": 0.24804469273743016,
|
| 1114 |
-
"acc_norm_stderr": 0.01444415780826144
|
| 1115 |
-
},
|
| 1116 |
-
"harness|hendrycksTest-nutrition|5": {
|
| 1117 |
-
"acc": 0.5784313725490197,
|
| 1118 |
-
"acc_stderr": 0.028275490156791462,
|
| 1119 |
-
"acc_norm": 0.5784313725490197,
|
| 1120 |
-
"acc_norm_stderr": 0.028275490156791462
|
| 1121 |
-
},
|
| 1122 |
-
"harness|hendrycksTest-philosophy|5": {
|
| 1123 |
-
"acc": 0.5401929260450161,
|
| 1124 |
-
"acc_stderr": 0.028306190403305696,
|
| 1125 |
-
"acc_norm": 0.5401929260450161,
|
| 1126 |
-
"acc_norm_stderr": 0.028306190403305696
|
| 1127 |
-
},
|
| 1128 |
-
"harness|hendrycksTest-prehistory|5": {
|
| 1129 |
-
"acc": 0.5462962962962963,
|
| 1130 |
-
"acc_stderr": 0.0277012284685426,
|
| 1131 |
-
"acc_norm": 0.5462962962962963,
|
| 1132 |
-
"acc_norm_stderr": 0.0277012284685426
|
| 1133 |
-
},
|
| 1134 |
-
"harness|hendrycksTest-professional_accounting|5": {
|
| 1135 |
-
"acc": 0.3971631205673759,
|
| 1136 |
-
"acc_stderr": 0.029189805673587105,
|
| 1137 |
-
"acc_norm": 0.3971631205673759,
|
| 1138 |
-
"acc_norm_stderr": 0.029189805673587105
|
| 1139 |
-
},
|
| 1140 |
-
"harness|hendrycksTest-professional_law|5": {
|
| 1141 |
-
"acc": 0.35919165580182527,
|
| 1142 |
-
"acc_stderr": 0.012253386187584253,
|
| 1143 |
-
"acc_norm": 0.35919165580182527,
|
| 1144 |
-
"acc_norm_stderr": 0.012253386187584253
|
| 1145 |
-
},
|
| 1146 |
-
"harness|hendrycksTest-professional_medicine|5": {
|
| 1147 |
-
"acc": 0.4852941176470588,
|
| 1148 |
-
"acc_stderr": 0.03035969707904611,
|
| 1149 |
-
"acc_norm": 0.4852941176470588,
|
| 1150 |
-
"acc_norm_stderr": 0.03035969707904611
|
| 1151 |
-
},
|
| 1152 |
-
"harness|hendrycksTest-professional_psychology|5": {
|
| 1153 |
-
"acc": 0.48366013071895425,
|
| 1154 |
-
"acc_stderr": 0.020217030653186457,
|
| 1155 |
-
"acc_norm": 0.48366013071895425,
|
| 1156 |
-
"acc_norm_stderr": 0.020217030653186457
|
| 1157 |
-
},
|
| 1158 |
-
"harness|hendrycksTest-public_relations|5": {
|
| 1159 |
-
"acc": 0.6,
|
| 1160 |
-
"acc_stderr": 0.0469237132203465,
|
| 1161 |
-
"acc_norm": 0.6,
|
| 1162 |
-
"acc_norm_stderr": 0.0469237132203465
|
| 1163 |
-
},
|
| 1164 |
-
"harness|hendrycksTest-security_studies|5": {
|
| 1165 |
-
"acc": 0.5918367346938775,
|
| 1166 |
-
"acc_stderr": 0.03146465712827424,
|
| 1167 |
-
"acc_norm": 0.5918367346938775,
|
| 1168 |
-
"acc_norm_stderr": 0.03146465712827424
|
| 1169 |
-
},
|
| 1170 |
-
"harness|hendrycksTest-sociology|5": {
|
| 1171 |
-
"acc": 0.6467661691542289,
|
| 1172 |
-
"acc_stderr": 0.03379790611796777,
|
| 1173 |
-
"acc_norm": 0.6467661691542289,
|
| 1174 |
-
"acc_norm_stderr": 0.03379790611796777
|
| 1175 |
-
},
|
| 1176 |
-
"harness|hendrycksTest-us_foreign_policy|5": {
|
| 1177 |
-
"acc": 0.74,
|
| 1178 |
-
"acc_stderr": 0.04408440022768079,
|
| 1179 |
-
"acc_norm": 0.74,
|
| 1180 |
-
"acc_norm_stderr": 0.04408440022768079
|
| 1181 |
-
},
|
| 1182 |
-
"harness|hendrycksTest-virology|5": {
|
| 1183 |
-
"acc": 0.4397590361445783,
|
| 1184 |
-
"acc_stderr": 0.03864139923699121,
|
| 1185 |
-
"acc_norm": 0.4397590361445783,
|
| 1186 |
-
"acc_norm_stderr": 0.03864139923699121
|
| 1187 |
-
},
|
| 1188 |
-
"harness|hendrycksTest-world_religions|5": {
|
| 1189 |
-
"acc": 0.6783625730994152,
|
| 1190 |
-
"acc_stderr": 0.03582529442573122,
|
| 1191 |
-
"acc_norm": 0.6783625730994152,
|
| 1192 |
-
"acc_norm_stderr": 0.03582529442573122
|
| 1193 |
-
},
|
| 1194 |
-
"harness|truthfulqa:mc|0": {
|
| 1195 |
-
"mc1": 0.33659730722154224,
|
| 1196 |
-
"mc1_stderr": 0.016542412809494887,
|
| 1197 |
-
"mc2": 0.5041278188644791,
|
| 1198 |
-
"mc2_stderr": 0.01576728095387478
|
| 1199 |
}
|
| 1200 |
}
|
| 1201 |
```
|
|
|
|
| 3 |
dataset_summary: "Dataset automatically created during the evaluation run of model\
|
| 4 |
\ [lmsys/vicuna-7b-v1.5-16k](https://huggingface.co/lmsys/vicuna-7b-v1.5-16k) on\
|
| 5 |
\ the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
|
| 6 |
+
\nThe dataset is composed of 64 configuration, each one coresponding to one of the\
|
| 7 |
+
\ evaluated task.\n\nThe dataset has been created from 2 run(s). Each run can be\
|
| 8 |
\ found as a specific split in each configuration, the split being named using the\
|
| 9 |
\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
|
| 10 |
\nAn additional configuration \"results\" store all the aggregated results of the\
|
|
|
|
| 12 |
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
|
| 13 |
\nTo load the details from a run, you can for instance do the following:\n```python\n\
|
| 14 |
from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_lmsys__vicuna-7b-v1.5-16k\"\
|
| 15 |
+
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
|
| 16 |
+
These are the [latest results from run 2023-10-19T11:48:14.833652](https://huggingface.co/datasets/open-llm-leaderboard/details_lmsys__vicuna-7b-v1.5-16k/blob/main/results_2023-10-19T11-48-14.833652.json)(note\
|
| 17 |
+
\ that their might be results for other tasks in the repos if successive evals didn't\
|
| 18 |
+
\ cover the same tasks. You find each in the results and the \"latest\" split for\
|
| 19 |
+
\ each eval):\n\n```python\n{\n \"all\": {\n \"em\": 0.008389261744966443,\n\
|
| 20 |
+
\ \"em_stderr\": 0.0009340543216867012,\n \"f1\": 0.07163485738255039,\n\
|
| 21 |
+
\ \"f1_stderr\": 0.001675003372186539,\n \"acc\": 0.38778570501079185,\n\
|
| 22 |
+
\ \"acc_stderr\": 0.009750816499753356\n },\n \"harness|drop|3\": {\n\
|
| 23 |
+
\ \"em\": 0.008389261744966443,\n \"em_stderr\": 0.0009340543216867012,\n\
|
| 24 |
+
\ \"f1\": 0.07163485738255039,\n \"f1_stderr\": 0.001675003372186539\n\
|
| 25 |
+
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.06444275966641395,\n \
|
| 26 |
+
\ \"acc_stderr\": 0.006763391728488277\n },\n \"harness|winogrande|5\"\
|
| 27 |
+
: {\n \"acc\": 0.7111286503551697,\n \"acc_stderr\": 0.012738241271018436\n\
|
| 28 |
+
\ }\n}\n```"
|
|
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|
| 29 |
repo_url: https://huggingface.co/lmsys/vicuna-7b-v1.5-16k
|
| 30 |
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
|
| 31 |
point_of_contact: clementine@hf.co
|
|
|
|
| 38 |
- split: latest
|
| 39 |
path:
|
| 40 |
- '**/details_harness|arc:challenge|25_2023-08-18T07:58:23.659880.parquet'
|
| 41 |
+
- config_name: harness_drop_3
|
| 42 |
+
data_files:
|
| 43 |
+
- split: 2023_10_19T11_48_14.833652
|
| 44 |
+
path:
|
| 45 |
+
- '**/details_harness|drop|3_2023-10-19T11-48-14.833652.parquet'
|
| 46 |
+
- split: latest
|
| 47 |
+
path:
|
| 48 |
+
- '**/details_harness|drop|3_2023-10-19T11-48-14.833652.parquet'
|
| 49 |
+
- config_name: harness_gsm8k_5
|
| 50 |
+
data_files:
|
| 51 |
+
- split: 2023_10_19T11_48_14.833652
|
| 52 |
+
path:
|
| 53 |
+
- '**/details_harness|gsm8k|5_2023-10-19T11-48-14.833652.parquet'
|
| 54 |
+
- split: latest
|
| 55 |
+
path:
|
| 56 |
+
- '**/details_harness|gsm8k|5_2023-10-19T11-48-14.833652.parquet'
|
| 57 |
- config_name: harness_hellaswag_10
|
| 58 |
data_files:
|
| 59 |
- split: 2023_08_18T07_58_23.659880
|
|
|
|
| 646 |
- split: latest
|
| 647 |
path:
|
| 648 |
- '**/details_harness|truthfulqa:mc|0_2023-08-18T07:58:23.659880.parquet'
|
| 649 |
+
- config_name: harness_winogrande_5
|
| 650 |
+
data_files:
|
| 651 |
+
- split: 2023_10_19T11_48_14.833652
|
| 652 |
+
path:
|
| 653 |
+
- '**/details_harness|winogrande|5_2023-10-19T11-48-14.833652.parquet'
|
| 654 |
+
- split: latest
|
| 655 |
+
path:
|
| 656 |
+
- '**/details_harness|winogrande|5_2023-10-19T11-48-14.833652.parquet'
|
| 657 |
- config_name: results
|
| 658 |
data_files:
|
| 659 |
- split: 2023_08_18T07_58_23.659880
|
| 660 |
path:
|
| 661 |
- results_2023-08-18T07:58:23.659880.parquet
|
| 662 |
+
- split: 2023_10_19T11_48_14.833652
|
| 663 |
+
path:
|
| 664 |
+
- results_2023-10-19T11-48-14.833652.parquet
|
| 665 |
- split: latest
|
| 666 |
path:
|
| 667 |
+
- results_2023-10-19T11-48-14.833652.parquet
|
| 668 |
---
|
| 669 |
|
| 670 |
# Dataset Card for Evaluation run of lmsys/vicuna-7b-v1.5-16k
|
|
|
|
| 681 |
|
| 682 |
Dataset automatically created during the evaluation run of model [lmsys/vicuna-7b-v1.5-16k](https://huggingface.co/lmsys/vicuna-7b-v1.5-16k) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
|
| 683 |
|
| 684 |
+
The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task.
|
| 685 |
|
| 686 |
+
The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
|
| 687 |
|
| 688 |
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
|
| 689 |
|
|
|
|
| 691 |
```python
|
| 692 |
from datasets import load_dataset
|
| 693 |
data = load_dataset("open-llm-leaderboard/details_lmsys__vicuna-7b-v1.5-16k",
|
| 694 |
+
"harness_winogrande_5",
|
| 695 |
split="train")
|
| 696 |
```
|
| 697 |
|
| 698 |
## Latest results
|
| 699 |
|
| 700 |
+
These are the [latest results from run 2023-10-19T11:48:14.833652](https://huggingface.co/datasets/open-llm-leaderboard/details_lmsys__vicuna-7b-v1.5-16k/blob/main/results_2023-10-19T11-48-14.833652.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
|
| 701 |
|
| 702 |
```python
|
| 703 |
{
|
| 704 |
"all": {
|
| 705 |
+
"em": 0.008389261744966443,
|
| 706 |
+
"em_stderr": 0.0009340543216867012,
|
| 707 |
+
"f1": 0.07163485738255039,
|
| 708 |
+
"f1_stderr": 0.001675003372186539,
|
| 709 |
+
"acc": 0.38778570501079185,
|
| 710 |
+
"acc_stderr": 0.009750816499753356
|
| 711 |
+
},
|
| 712 |
+
"harness|drop|3": {
|
| 713 |
+
"em": 0.008389261744966443,
|
| 714 |
+
"em_stderr": 0.0009340543216867012,
|
| 715 |
+
"f1": 0.07163485738255039,
|
| 716 |
+
"f1_stderr": 0.001675003372186539
|
| 717 |
+
},
|
| 718 |
+
"harness|gsm8k|5": {
|
| 719 |
+
"acc": 0.06444275966641395,
|
| 720 |
+
"acc_stderr": 0.006763391728488277
|
| 721 |
+
},
|
| 722 |
+
"harness|winogrande|5": {
|
| 723 |
+
"acc": 0.7111286503551697,
|
| 724 |
+
"acc_stderr": 0.012738241271018436
|
|
|
|
|
|
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| 725 |
}
|
| 726 |
}
|
| 727 |
```
|