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Parent(s):
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Upload README.md with huggingface_hub
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README.md
CHANGED
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@@ -3,8 +3,8 @@ pretty_name: Evaluation run of project-baize/baize-v2-13b
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dataset_summary: "Dataset automatically created during the evaluation run of model\
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\ [project-baize/baize-v2-13b](https://huggingface.co/project-baize/baize-v2-13b)\
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\ on 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_project-baize__baize-v2-13b\"\
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,\n\t\"
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\ },\n \"harness|
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\ \"
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\
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: {\n \"acc\": 0.36,\n \"acc_stderr\": 0.04824181513244218,\n \
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\ \"acc_norm\": 0.36,\n \"acc_norm_stderr\": 0.04824181513244218\n \
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\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.5111111111111111,\n\
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\ \"acc_stderr\": 0.04318275491977976,\n \"acc_norm\": 0.5111111111111111,\n\
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\ \"acc_norm_stderr\": 0.04318275491977976\n },\n \"harness|hendrycksTest-astronomy|5\"\
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: {\n \"acc\": 0.45394736842105265,\n \"acc_stderr\": 0.04051646342874143,\n\
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\ \"acc_norm\": 0.45394736842105265,\n \"acc_norm_stderr\": 0.04051646342874143\n\
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\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.45,\n\
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\ \"acc_stderr\": 0.05,\n \"acc_norm\": 0.45,\n \"acc_norm_stderr\"\
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: 0.05\n },\n \"harness|hendrycksTest-clinical_knowledge|5\": {\n \"\
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acc\": 0.4830188679245283,\n \"acc_stderr\": 0.030755120364119905,\n \
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\ \"acc_norm\": 0.4830188679245283,\n \"acc_norm_stderr\": 0.030755120364119905\n\
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\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.4930555555555556,\n\
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\ \"acc_stderr\": 0.04180806750294938,\n \"acc_norm\": 0.4930555555555556,\n\
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\ \"acc_norm_stderr\": 0.04180806750294938\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
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: {\n \"acc\": 0.39,\n \"acc_stderr\": 0.04902071300001974,\n \
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\ \"acc_norm\": 0.39,\n \"acc_norm_stderr\": 0.04902071300001974\n \
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\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
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: 0.44,\n \"acc_stderr\": 0.0498887651569859,\n \"acc_norm\": 0.44,\n\
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\ \"acc_norm_stderr\": 0.0498887651569859\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
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: {\n \"acc\": 0.38,\n \"acc_stderr\": 0.048783173121456316,\n \
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\ \"acc_norm\": 0.38,\n \"acc_norm_stderr\": 0.048783173121456316\n \
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\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.3988439306358382,\n\
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\ \"acc_stderr\": 0.03733626655383509,\n \"acc_norm\": 0.3988439306358382,\n\
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\ \"acc_norm_stderr\": 0.03733626655383509\n },\n \"harness|hendrycksTest-college_physics|5\"\
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: {\n \"acc\": 0.23529411764705882,\n \"acc_stderr\": 0.04220773659171453,\n\
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\ \"acc_norm\": 0.23529411764705882,\n \"acc_norm_stderr\": 0.04220773659171453\n\
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\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
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\ 0.65,\n \"acc_stderr\": 0.0479372485441102,\n \"acc_norm\": 0.65,\n\
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\ \"acc_norm_stderr\": 0.0479372485441102\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
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: {\n \"acc\": 0.4127659574468085,\n \"acc_stderr\": 0.03218471141400351,\n\
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\ \"acc_norm\": 0.4127659574468085,\n \"acc_norm_stderr\": 0.03218471141400351\n\
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\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.30701754385964913,\n\
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\ \"acc_stderr\": 0.0433913832257986,\n \"acc_norm\": 0.30701754385964913,\n\
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\ \"acc_norm_stderr\": 0.0433913832257986\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
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: {\n \"acc\": 0.4482758620689655,\n \"acc_stderr\": 0.04144311810878151,\n\
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\ \"acc_norm\": 0.4482758620689655,\n \"acc_norm_stderr\": 0.04144311810878151\n\
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\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
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: 0.30158730158730157,\n \"acc_stderr\": 0.023636975996101813,\n \"\
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acc_norm\": 0.30158730158730157,\n \"acc_norm_stderr\": 0.023636975996101813\n\
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\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.31746031746031744,\n\
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\ \"acc_stderr\": 0.04163453031302859,\n \"acc_norm\": 0.31746031746031744,\n\
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\ \"acc_norm_stderr\": 0.04163453031302859\n },\n \"harness|hendrycksTest-global_facts|5\"\
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: {\n \"acc\": 0.35,\n \"acc_stderr\": 0.047937248544110196,\n \
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\ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.047937248544110196\n \
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\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\
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: 0.535483870967742,\n \"acc_stderr\": 0.02837228779796293,\n \"acc_norm\"\
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: 0.535483870967742,\n \"acc_norm_stderr\": 0.02837228779796293\n },\n\
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\ \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\": 0.3645320197044335,\n\
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\ \"acc_stderr\": 0.0338640574606209,\n \"acc_norm\": 0.3645320197044335,\n\
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\ \"acc_norm_stderr\": 0.0338640574606209\n },\n \"harness|hendrycksTest-high_school_computer_science|5\"\
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: {\n \"acc\": 0.53,\n \"acc_stderr\": 0.050161355804659205,\n \
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\ \"acc_norm\": 0.53,\n \"acc_norm_stderr\": 0.050161355804659205\n \
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\ },\n \"harness|hendrycksTest-high_school_european_history|5\": {\n \
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\ \"acc\": 0.6303030303030303,\n \"acc_stderr\": 0.03769430314512568,\n\
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\ \"acc_norm\": 0.6303030303030303,\n \"acc_norm_stderr\": 0.03769430314512568\n\
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\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
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: 0.5505050505050505,\n \"acc_stderr\": 0.035441324919479704,\n \"\
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acc_norm\": 0.5505050505050505,\n \"acc_norm_stderr\": 0.035441324919479704\n\
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\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
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\ \"acc\": 0.6839378238341969,\n \"acc_stderr\": 0.033553973696861736,\n\
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\ \"acc_norm\": 0.6839378238341969,\n \"acc_norm_stderr\": 0.033553973696861736\n\
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\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
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\ \"acc\": 0.4564102564102564,\n \"acc_stderr\": 0.0252544854247996,\n \
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\ \"acc_norm\": 0.4564102564102564,\n \"acc_norm_stderr\": 0.0252544854247996\n\
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\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
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acc\": 0.2518518518518518,\n \"acc_stderr\": 0.026466117538959916,\n \
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\ \"acc_norm\": 0.2518518518518518,\n \"acc_norm_stderr\": 0.026466117538959916\n\
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\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
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\ \"acc\": 0.47058823529411764,\n \"acc_stderr\": 0.03242225027115006,\n\
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\ \"acc_norm\": 0.47058823529411764,\n \"acc_norm_stderr\": 0.03242225027115006\n\
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\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
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: 0.2582781456953642,\n \"acc_stderr\": 0.035737053147634576,\n \"\
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acc_norm\": 0.2582781456953642,\n \"acc_norm_stderr\": 0.035737053147634576\n\
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\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
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: 0.6513761467889908,\n \"acc_stderr\": 0.020431254090714317,\n \"\
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acc_norm\": 0.6513761467889908,\n \"acc_norm_stderr\": 0.020431254090714317\n\
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\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
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: 0.35185185185185186,\n \"acc_stderr\": 0.03256850570293648,\n \"\
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acc_norm\": 0.35185185185185186,\n \"acc_norm_stderr\": 0.03256850570293648\n\
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\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
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: 0.6519607843137255,\n \"acc_stderr\": 0.03343311240488418,\n \"\
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acc_norm\": 0.6519607843137255,\n \"acc_norm_stderr\": 0.03343311240488418\n\
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\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
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acc\": 0.7088607594936709,\n \"acc_stderr\": 0.02957160106575337,\n \
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\ \"acc_norm\": 0.7088607594936709,\n \"acc_norm_stderr\": 0.02957160106575337\n\
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\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.5650224215246636,\n\
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\ \"acc_stderr\": 0.03327283370271344,\n \"acc_norm\": 0.5650224215246636,\n\
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\ \"acc_norm_stderr\": 0.03327283370271344\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
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: {\n \"acc\": 0.5725190839694656,\n \"acc_stderr\": 0.043389203057924,\n\
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\ \"acc_norm\": 0.5725190839694656,\n \"acc_norm_stderr\": 0.043389203057924\n\
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\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
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\ 0.6776859504132231,\n \"acc_stderr\": 0.04266416363352168,\n \"\
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acc_norm\": 0.6776859504132231,\n \"acc_norm_stderr\": 0.04266416363352168\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\": 0.5766871165644172,\n \"acc_stderr\": 0.03881891213334384,\n\
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\ \"acc_norm\": 0.5766871165644172,\n \"acc_norm_stderr\": 0.03881891213334384\n\
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\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.3392857142857143,\n\
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\ \"acc_stderr\": 0.04493949068613538,\n \"acc_norm\": 0.3392857142857143,\n\
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\ \"acc_norm_stderr\": 0.04493949068613538\n },\n \"harness|hendrycksTest-management|5\"\
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: {\n \"acc\": 0.6504854368932039,\n \"acc_stderr\": 0.04721188506097173,\n\
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\ \"acc_norm\": 0.6504854368932039,\n \"acc_norm_stderr\": 0.04721188506097173\n\
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\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.6923076923076923,\n\
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\ \"acc_stderr\": 0.03023638994217308,\n \"acc_norm\": 0.6923076923076923,\n\
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\ \"acc_norm_stderr\": 0.03023638994217308\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
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: {\n \"acc\": 0.54,\n \"acc_stderr\": 0.05009082659620332,\n \
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\ \"acc_norm\": 0.54,\n \"acc_norm_stderr\": 0.05009082659620332\n \
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\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.6819923371647509,\n\
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\ \"acc_stderr\": 0.01665348627561539,\n \"acc_norm\": 0.6819923371647509,\n\
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\ \"acc_norm_stderr\": 0.01665348627561539\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
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: {\n \"acc\": 0.5491329479768786,\n \"acc_stderr\": 0.02678881193156276,\n\
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\ \"acc_norm\": 0.5491329479768786,\n \"acc_norm_stderr\": 0.02678881193156276\n\
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\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.24916201117318434,\n\
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\ \"acc_stderr\": 0.014465893829859926,\n \"acc_norm\": 0.24916201117318434,\n\
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\ \"acc_norm_stderr\": 0.014465893829859926\n },\n \"harness|hendrycksTest-nutrition|5\"\
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: {\n \"acc\": 0.5359477124183006,\n \"acc_stderr\": 0.028555827516528777,\n\
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\ \"acc_norm\": 0.5359477124183006,\n \"acc_norm_stderr\": 0.028555827516528777\n\
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\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.5659163987138264,\n\
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\ \"acc_stderr\": 0.0281502322445356,\n \"acc_norm\": 0.5659163987138264,\n\
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\ \"acc_norm_stderr\": 0.0281502322445356\n },\n \"harness|hendrycksTest-prehistory|5\"\
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: {\n \"acc\": 0.5709876543209876,\n \"acc_stderr\": 0.027538925613470863,\n\
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\ \"acc_norm\": 0.5709876543209876,\n \"acc_norm_stderr\": 0.027538925613470863\n\
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\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
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acc\": 0.375886524822695,\n \"acc_stderr\": 0.028893955412115882,\n \
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\ \"acc_norm\": 0.375886524822695,\n \"acc_norm_stderr\": 0.028893955412115882\n\
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\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.39895697522816165,\n\
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\ \"acc_stderr\": 0.01250675765529367,\n \"acc_norm\": 0.39895697522816165,\n\
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\ \"acc_norm_stderr\": 0.01250675765529367\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
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: {\n \"acc\": 0.5183823529411765,\n \"acc_stderr\": 0.03035230339535196,\n\
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\ \"acc_norm\": 0.5183823529411765,\n \"acc_norm_stderr\": 0.03035230339535196\n\
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\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
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acc\": 0.49019607843137253,\n \"acc_stderr\": 0.0202239460050743,\n \
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\ \"acc_norm\": 0.49019607843137253,\n \"acc_norm_stderr\": 0.0202239460050743\n\
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\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.5818181818181818,\n\
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\ \"acc_stderr\": 0.04724577405731572,\n \"acc_norm\": 0.5818181818181818,\n\
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\ \"acc_norm_stderr\": 0.04724577405731572\n },\n \"harness|hendrycksTest-security_studies|5\"\
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: {\n \"acc\": 0.5836734693877551,\n \"acc_stderr\": 0.031557828165561644,\n\
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\ \"acc_norm\": 0.5836734693877551,\n \"acc_norm_stderr\": 0.031557828165561644\n\
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\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.6318407960199005,\n\
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\ \"acc_stderr\": 0.034104105654953004,\n \"acc_norm\": 0.6318407960199005,\n\
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\ \"acc_norm_stderr\": 0.034104105654953004\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
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: {\n \"acc\": 0.79,\n \"acc_stderr\": 0.040936018074033256,\n \
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\ \"acc_norm\": 0.79,\n \"acc_norm_stderr\": 0.040936018074033256\n \
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\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.4397590361445783,\n\
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\ \"acc_stderr\": 0.03864139923699122,\n \"acc_norm\": 0.4397590361445783,\n\
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\ \"acc_norm_stderr\": 0.03864139923699122\n },\n \"harness|hendrycksTest-world_religions|5\"\
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: {\n \"acc\": 0.7309941520467836,\n \"acc_stderr\": 0.03401052620104089,\n\
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\ \"acc_norm\": 0.7309941520467836,\n \"acc_norm_stderr\": 0.03401052620104089\n\
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\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.3268053855569155,\n\
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\ \"mc1_stderr\": 0.01641987473113503,\n \"mc2\": 0.4787940004917526,\n\
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\ \"mc2_stderr\": 0.015404827564690323\n }\n}\n```"
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repo_url: https://huggingface.co/project-baize/baize-v2-13b
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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_2023-07-18T16:42:29.519016.parquet'
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- config_name: harness_hellaswag_10
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data_files:
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- split: 2023_07_18T16_42_29.519016
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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_2023-07-18T16:42:29.519016.parquet'
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- config_name: results
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data_files:
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- split: 2023_07_18T16_42_29.519016
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path:
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| 790 |
- results_2023-07-18T16:42:29.519016.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 project-baize/baize-v2-13b
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@@ -807,9 +681,9 @@ configs:
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| 808 |
Dataset automatically created during the evaluation run of model [project-baize/baize-v2-13b](https://huggingface.co/project-baize/baize-v2-13b) 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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data = load_dataset("open-llm-leaderboard/details_project-baize__baize-v2-13b",
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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 |
|
| 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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-
"
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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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-
},
|
| 852 |
-
"harness|hendrycksTest-abstract_algebra|5": {
|
| 853 |
-
"acc": 0.36,
|
| 854 |
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"acc_stderr": 0.04824181513244218,
|
| 855 |
-
"acc_norm": 0.36,
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| 856 |
-
"acc_norm_stderr": 0.04824181513244218
|
| 857 |
-
},
|
| 858 |
-
"harness|hendrycksTest-anatomy|5": {
|
| 859 |
-
"acc": 0.5111111111111111,
|
| 860 |
-
"acc_stderr": 0.04318275491977976,
|
| 861 |
-
"acc_norm": 0.5111111111111111,
|
| 862 |
-
"acc_norm_stderr": 0.04318275491977976
|
| 863 |
-
},
|
| 864 |
-
"harness|hendrycksTest-astronomy|5": {
|
| 865 |
-
"acc": 0.45394736842105265,
|
| 866 |
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"acc_norm": 0.45394736842105265,
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| 868 |
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|
| 869 |
-
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|
| 870 |
-
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|
| 871 |
-
"acc": 0.45,
|
| 872 |
-
"acc_stderr": 0.05,
|
| 873 |
-
"acc_norm": 0.45,
|
| 874 |
-
"acc_norm_stderr": 0.05
|
| 875 |
-
},
|
| 876 |
-
"harness|hendrycksTest-clinical_knowledge|5": {
|
| 877 |
-
"acc": 0.4830188679245283,
|
| 878 |
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| 879 |
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"acc_norm": 0.4830188679245283,
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| 880 |
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| 881 |
-
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|
| 882 |
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"harness|hendrycksTest-college_biology|5": {
|
| 883 |
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|
| 884 |
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"acc_norm": 0.4930555555555556,
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| 886 |
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|
| 887 |
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},
|
| 888 |
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"harness|hendrycksTest-college_chemistry|5": {
|
| 889 |
-
"acc": 0.39,
|
| 890 |
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"acc_stderr": 0.04902071300001974,
|
| 891 |
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"acc_norm": 0.39,
|
| 892 |
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"acc_norm_stderr": 0.04902071300001974
|
| 893 |
-
},
|
| 894 |
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"harness|hendrycksTest-college_computer_science|5": {
|
| 895 |
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"acc": 0.44,
|
| 896 |
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|
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"acc_norm": 0.44,
|
| 898 |
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|
| 899 |
-
},
|
| 900 |
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"harness|hendrycksTest-college_mathematics|5": {
|
| 901 |
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"acc": 0.38,
|
| 902 |
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|
| 903 |
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"acc_norm": 0.38,
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| 904 |
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|
| 905 |
-
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|
| 906 |
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"harness|hendrycksTest-college_medicine|5": {
|
| 907 |
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"acc": 0.3988439306358382,
|
| 908 |
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| 910 |
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| 911 |
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|
| 912 |
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"harness|hendrycksTest-college_physics|5": {
|
| 913 |
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| 914 |
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| 916 |
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|
| 917 |
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|
| 918 |
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"harness|hendrycksTest-computer_security|5": {
|
| 919 |
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"acc": 0.65,
|
| 920 |
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|
| 921 |
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"acc_norm": 0.65,
|
| 922 |
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|
| 923 |
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},
|
| 924 |
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"harness|hendrycksTest-conceptual_physics|5": {
|
| 925 |
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|
| 926 |
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|
| 929 |
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|
| 930 |
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|
| 931 |
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|
| 932 |
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|
| 935 |
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|
| 936 |
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|
| 937 |
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| 941 |
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|
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|
| 943 |
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| 947 |
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|
| 949 |
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| 950 |
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| 953 |
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|
| 955 |
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| 956 |
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| 959 |
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| 960 |
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|
| 961 |
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| 965 |
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| 971 |
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| 977 |
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| 978 |
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| 979 |
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| 980 |
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| 983 |
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| 984 |
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|
| 985 |
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| 986 |
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| 989 |
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|
| 990 |
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"harness|hendrycksTest-high_school_government_and_politics|5": {
|
| 991 |
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| 992 |
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| 995 |
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|
| 997 |
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| 1000 |
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| 1001 |
-
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| 1002 |
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|
| 1003 |
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| 1004 |
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| 1006 |
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|
| 1007 |
-
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|
| 1008 |
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"harness|hendrycksTest-high_school_microeconomics|5": {
|
| 1009 |
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| 1013 |
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| 1014 |
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|
| 1015 |
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|
| 1019 |
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|
| 1020 |
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|
| 1021 |
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|
| 1022 |
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| 1024 |
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| 1025 |
-
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|
| 1026 |
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|
| 1027 |
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| 1030 |
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|
| 1031 |
-
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|
| 1032 |
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|
| 1033 |
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| 1034 |
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|
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| 1037 |
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},
|
| 1038 |
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"harness|hendrycksTest-high_school_world_history|5": {
|
| 1039 |
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| 1040 |
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| 1043 |
-
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|
| 1044 |
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|
| 1045 |
-
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|
| 1049 |
-
},
|
| 1050 |
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|
| 1051 |
-
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|
| 1052 |
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| 1054 |
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|
| 1055 |
-
},
|
| 1056 |
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|
| 1057 |
-
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|
| 1058 |
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| 1060 |
-
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|
| 1061 |
-
},
|
| 1062 |
-
"harness|hendrycksTest-jurisprudence|5": {
|
| 1063 |
-
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|
| 1064 |
-
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| 1065 |
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| 1066 |
-
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|
| 1067 |
-
},
|
| 1068 |
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"harness|hendrycksTest-logical_fallacies|5": {
|
| 1069 |
-
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|
| 1070 |
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|
| 1072 |
-
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|
| 1073 |
-
},
|
| 1074 |
-
"harness|hendrycksTest-machine_learning|5": {
|
| 1075 |
-
"acc": 0.3392857142857143,
|
| 1076 |
-
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|
| 1077 |
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|
| 1078 |
-
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|
| 1079 |
-
},
|
| 1080 |
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"harness|hendrycksTest-management|5": {
|
| 1081 |
-
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|
| 1082 |
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| 1084 |
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|
| 1085 |
-
},
|
| 1086 |
-
"harness|hendrycksTest-marketing|5": {
|
| 1087 |
-
"acc": 0.6923076923076923,
|
| 1088 |
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| 1089 |
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|
| 1090 |
-
"acc_norm_stderr": 0.03023638994217308
|
| 1091 |
-
},
|
| 1092 |
-
"harness|hendrycksTest-medical_genetics|5": {
|
| 1093 |
-
"acc": 0.54,
|
| 1094 |
-
"acc_stderr": 0.05009082659620332,
|
| 1095 |
-
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|
| 1096 |
-
"acc_norm_stderr": 0.05009082659620332
|
| 1097 |
-
},
|
| 1098 |
-
"harness|hendrycksTest-miscellaneous|5": {
|
| 1099 |
-
"acc": 0.6819923371647509,
|
| 1100 |
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|
| 1101 |
-
"acc_norm": 0.6819923371647509,
|
| 1102 |
-
"acc_norm_stderr": 0.01665348627561539
|
| 1103 |
-
},
|
| 1104 |
-
"harness|hendrycksTest-moral_disputes|5": {
|
| 1105 |
-
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|
| 1106 |
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|
| 1107 |
-
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| 1108 |
-
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|
| 1109 |
-
},
|
| 1110 |
-
"harness|hendrycksTest-moral_scenarios|5": {
|
| 1111 |
-
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|
| 1112 |
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| 1113 |
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|
| 1114 |
-
"acc_norm_stderr": 0.014465893829859926
|
| 1115 |
-
},
|
| 1116 |
-
"harness|hendrycksTest-nutrition|5": {
|
| 1117 |
-
"acc": 0.5359477124183006,
|
| 1118 |
-
"acc_stderr": 0.028555827516528777,
|
| 1119 |
-
"acc_norm": 0.5359477124183006,
|
| 1120 |
-
"acc_norm_stderr": 0.028555827516528777
|
| 1121 |
-
},
|
| 1122 |
-
"harness|hendrycksTest-philosophy|5": {
|
| 1123 |
-
"acc": 0.5659163987138264,
|
| 1124 |
-
"acc_stderr": 0.0281502322445356,
|
| 1125 |
-
"acc_norm": 0.5659163987138264,
|
| 1126 |
-
"acc_norm_stderr": 0.0281502322445356
|
| 1127 |
-
},
|
| 1128 |
-
"harness|hendrycksTest-prehistory|5": {
|
| 1129 |
-
"acc": 0.5709876543209876,
|
| 1130 |
-
"acc_stderr": 0.027538925613470863,
|
| 1131 |
-
"acc_norm": 0.5709876543209876,
|
| 1132 |
-
"acc_norm_stderr": 0.027538925613470863
|
| 1133 |
-
},
|
| 1134 |
-
"harness|hendrycksTest-professional_accounting|5": {
|
| 1135 |
-
"acc": 0.375886524822695,
|
| 1136 |
-
"acc_stderr": 0.028893955412115882,
|
| 1137 |
-
"acc_norm": 0.375886524822695,
|
| 1138 |
-
"acc_norm_stderr": 0.028893955412115882
|
| 1139 |
-
},
|
| 1140 |
-
"harness|hendrycksTest-professional_law|5": {
|
| 1141 |
-
"acc": 0.39895697522816165,
|
| 1142 |
-
"acc_stderr": 0.01250675765529367,
|
| 1143 |
-
"acc_norm": 0.39895697522816165,
|
| 1144 |
-
"acc_norm_stderr": 0.01250675765529367
|
| 1145 |
-
},
|
| 1146 |
-
"harness|hendrycksTest-professional_medicine|5": {
|
| 1147 |
-
"acc": 0.5183823529411765,
|
| 1148 |
-
"acc_stderr": 0.03035230339535196,
|
| 1149 |
-
"acc_norm": 0.5183823529411765,
|
| 1150 |
-
"acc_norm_stderr": 0.03035230339535196
|
| 1151 |
-
},
|
| 1152 |
-
"harness|hendrycksTest-professional_psychology|5": {
|
| 1153 |
-
"acc": 0.49019607843137253,
|
| 1154 |
-
"acc_stderr": 0.0202239460050743,
|
| 1155 |
-
"acc_norm": 0.49019607843137253,
|
| 1156 |
-
"acc_norm_stderr": 0.0202239460050743
|
| 1157 |
-
},
|
| 1158 |
-
"harness|hendrycksTest-public_relations|5": {
|
| 1159 |
-
"acc": 0.5818181818181818,
|
| 1160 |
-
"acc_stderr": 0.04724577405731572,
|
| 1161 |
-
"acc_norm": 0.5818181818181818,
|
| 1162 |
-
"acc_norm_stderr": 0.04724577405731572
|
| 1163 |
-
},
|
| 1164 |
-
"harness|hendrycksTest-security_studies|5": {
|
| 1165 |
-
"acc": 0.5836734693877551,
|
| 1166 |
-
"acc_stderr": 0.031557828165561644,
|
| 1167 |
-
"acc_norm": 0.5836734693877551,
|
| 1168 |
-
"acc_norm_stderr": 0.031557828165561644
|
| 1169 |
-
},
|
| 1170 |
-
"harness|hendrycksTest-sociology|5": {
|
| 1171 |
-
"acc": 0.6318407960199005,
|
| 1172 |
-
"acc_stderr": 0.034104105654953004,
|
| 1173 |
-
"acc_norm": 0.6318407960199005,
|
| 1174 |
-
"acc_norm_stderr": 0.034104105654953004
|
| 1175 |
-
},
|
| 1176 |
-
"harness|hendrycksTest-us_foreign_policy|5": {
|
| 1177 |
-
"acc": 0.79,
|
| 1178 |
-
"acc_stderr": 0.040936018074033256,
|
| 1179 |
-
"acc_norm": 0.79,
|
| 1180 |
-
"acc_norm_stderr": 0.040936018074033256
|
| 1181 |
-
},
|
| 1182 |
-
"harness|hendrycksTest-virology|5": {
|
| 1183 |
-
"acc": 0.4397590361445783,
|
| 1184 |
-
"acc_stderr": 0.03864139923699122,
|
| 1185 |
-
"acc_norm": 0.4397590361445783,
|
| 1186 |
-
"acc_norm_stderr": 0.03864139923699122
|
| 1187 |
-
},
|
| 1188 |
-
"harness|hendrycksTest-world_religions|5": {
|
| 1189 |
-
"acc": 0.7309941520467836,
|
| 1190 |
-
"acc_stderr": 0.03401052620104089,
|
| 1191 |
-
"acc_norm": 0.7309941520467836,
|
| 1192 |
-
"acc_norm_stderr": 0.03401052620104089
|
| 1193 |
-
},
|
| 1194 |
-
"harness|truthfulqa:mc|0": {
|
| 1195 |
-
"mc1": 0.3268053855569155,
|
| 1196 |
-
"mc1_stderr": 0.01641987473113503,
|
| 1197 |
-
"mc2": 0.4787940004917526,
|
| 1198 |
-
"mc2_stderr": 0.015404827564690323
|
| 1199 |
}
|
| 1200 |
}
|
| 1201 |
```
|
|
|
|
| 3 |
dataset_summary: "Dataset automatically created during the evaluation run of model\
|
| 4 |
\ [project-baize/baize-v2-13b](https://huggingface.co/project-baize/baize-v2-13b)\
|
| 5 |
\ on 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_project-baize__baize-v2-13b\"\
|
| 15 |
+
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
|
| 16 |
+
These are the [latest results from run 2023-10-12T16:13:42.802156](https://huggingface.co/datasets/open-llm-leaderboard/details_project-baize__baize-v2-13b/blob/main/results_2023-10-12T16-13-42.802156.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\": 0.0018875838926174498,\n\
|
| 20 |
+
\ \"em_stderr\": 0.0004445109990559112,\n \"f1\": 0.06463716442953052,\n\
|
| 21 |
+
\ \"f1_stderr\": 0.0014224354445974106,\n \"acc\": 0.4192375654704809,\n\
|
| 22 |
+
\ \"acc_stderr\": 0.01002367963522793\n },\n \"harness|drop|3\": {\n\
|
| 23 |
+
\ \"em\": 0.0018875838926174498,\n \"em_stderr\": 0.0004445109990559112,\n\
|
| 24 |
+
\ \"f1\": 0.06463716442953052,\n \"f1_stderr\": 0.0014224354445974106\n\
|
| 25 |
+
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.08946171341925702,\n \
|
| 26 |
+
\ \"acc_stderr\": 0.0078615830499397\n },\n \"harness|winogrande|5\":\
|
| 27 |
+
\ {\n \"acc\": 0.7490134175217048,\n \"acc_stderr\": 0.012185776220516161\n\
|
| 28 |
+
\ }\n}\n```"
|
|
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|
| 29 |
repo_url: https://huggingface.co/project-baize/baize-v2-13b
|
| 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_2023-07-18T16:42:29.519016.parquet'
|
| 41 |
+
- config_name: harness_drop_3
|
| 42 |
+
data_files:
|
| 43 |
+
- split: 2023_10_12T16_13_42.802156
|
| 44 |
+
path:
|
| 45 |
+
- '**/details_harness|drop|3_2023-10-12T16-13-42.802156.parquet'
|
| 46 |
+
- split: latest
|
| 47 |
+
path:
|
| 48 |
+
- '**/details_harness|drop|3_2023-10-12T16-13-42.802156.parquet'
|
| 49 |
+
- config_name: harness_gsm8k_5
|
| 50 |
+
data_files:
|
| 51 |
+
- split: 2023_10_12T16_13_42.802156
|
| 52 |
+
path:
|
| 53 |
+
- '**/details_harness|gsm8k|5_2023-10-12T16-13-42.802156.parquet'
|
| 54 |
+
- split: latest
|
| 55 |
+
path:
|
| 56 |
+
- '**/details_harness|gsm8k|5_2023-10-12T16-13-42.802156.parquet'
|
| 57 |
- config_name: harness_hellaswag_10
|
| 58 |
data_files:
|
| 59 |
- split: 2023_07_18T16_42_29.519016
|
|
|
|
| 646 |
- split: latest
|
| 647 |
path:
|
| 648 |
- '**/details_harness|truthfulqa:mc|0_2023-07-18T16:42:29.519016.parquet'
|
| 649 |
+
- config_name: harness_winogrande_5
|
| 650 |
+
data_files:
|
| 651 |
+
- split: 2023_10_12T16_13_42.802156
|
| 652 |
+
path:
|
| 653 |
+
- '**/details_harness|winogrande|5_2023-10-12T16-13-42.802156.parquet'
|
| 654 |
+
- split: latest
|
| 655 |
+
path:
|
| 656 |
+
- '**/details_harness|winogrande|5_2023-10-12T16-13-42.802156.parquet'
|
| 657 |
- config_name: results
|
| 658 |
data_files:
|
| 659 |
- split: 2023_07_18T16_42_29.519016
|
| 660 |
path:
|
| 661 |
- results_2023-07-18T16:42:29.519016.parquet
|
| 662 |
+
- split: 2023_10_12T16_13_42.802156
|
| 663 |
+
path:
|
| 664 |
+
- results_2023-10-12T16-13-42.802156.parquet
|
| 665 |
- split: latest
|
| 666 |
path:
|
| 667 |
+
- results_2023-10-12T16-13-42.802156.parquet
|
| 668 |
---
|
| 669 |
|
| 670 |
# Dataset Card for Evaluation run of project-baize/baize-v2-13b
|
|
|
|
| 681 |
|
| 682 |
Dataset automatically created during the evaluation run of model [project-baize/baize-v2-13b](https://huggingface.co/project-baize/baize-v2-13b) 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_project-baize__baize-v2-13b",
|
| 694 |
+
"harness_winogrande_5",
|
| 695 |
split="train")
|
| 696 |
```
|
| 697 |
|
| 698 |
## Latest results
|
| 699 |
|
| 700 |
+
These are the [latest results from run 2023-10-12T16:13:42.802156](https://huggingface.co/datasets/open-llm-leaderboard/details_project-baize__baize-v2-13b/blob/main/results_2023-10-12T16-13-42.802156.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": 0.0018875838926174498,
|
| 706 |
+
"em_stderr": 0.0004445109990559112,
|
| 707 |
+
"f1": 0.06463716442953052,
|
| 708 |
+
"f1_stderr": 0.0014224354445974106,
|
| 709 |
+
"acc": 0.4192375654704809,
|
| 710 |
+
"acc_stderr": 0.01002367963522793
|
| 711 |
+
},
|
| 712 |
+
"harness|drop|3": {
|
| 713 |
+
"em": 0.0018875838926174498,
|
| 714 |
+
"em_stderr": 0.0004445109990559112,
|
| 715 |
+
"f1": 0.06463716442953052,
|
| 716 |
+
"f1_stderr": 0.0014224354445974106
|
| 717 |
+
},
|
| 718 |
+
"harness|gsm8k|5": {
|
| 719 |
+
"acc": 0.08946171341925702,
|
| 720 |
+
"acc_stderr": 0.0078615830499397
|
| 721 |
+
},
|
| 722 |
+
"harness|winogrande|5": {
|
| 723 |
+
"acc": 0.7490134175217048,
|
| 724 |
+
"acc_stderr": 0.012185776220516161
|
|
|
|
|
|
|
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| 725 |
}
|
| 726 |
}
|
| 727 |
```
|