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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 Sao10K/Medusa-13b
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dataset_summary: "Dataset automatically created during the evaluation run of model\
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\ [Sao10K/Medusa-13b](https://huggingface.co/Sao10K/Medusa-13b) on the [Open LLM\
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\ 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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@@ -12,171 +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_Sao10K__Medusa-13b\"\
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,\n\t\"
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: {\n \"acc\": 0.
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\ \
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\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.45925925925925926,\n\
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\ \"acc_stderr\": 0.04304979692464243,\n \"acc_norm\": 0.45925925925925926,\n\
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\ \"acc_norm_stderr\": 0.04304979692464243\n },\n \"harness|hendrycksTest-astronomy|5\"\
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: {\n \"acc\": 0.5526315789473685,\n \"acc_stderr\": 0.040463368839782514,\n\
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\ \"acc_norm\": 0.5526315789473685,\n \"acc_norm_stderr\": 0.040463368839782514\n\
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\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.57,\n\
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\ \"acc_stderr\": 0.049756985195624284,\n \"acc_norm\": 0.57,\n \
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\ \"acc_norm_stderr\": 0.049756985195624284\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
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: {\n \"acc\": 0.6,\n \"acc_stderr\": 0.030151134457776292,\n \
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\ \"acc_norm\": 0.6,\n \"acc_norm_stderr\": 0.030151134457776292\n \
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\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6458333333333334,\n\
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\ \"acc_stderr\": 0.039994111357535424,\n \"acc_norm\": 0.6458333333333334,\n\
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\ \"acc_norm_stderr\": 0.039994111357535424\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
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: {\n \"acc\": 0.39,\n \"acc_stderr\": 0.04902071300001975,\n \
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\ \"acc_norm\": 0.39,\n \"acc_norm_stderr\": 0.04902071300001975\n \
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\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
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: 0.5,\n \"acc_stderr\": 0.050251890762960605,\n \"acc_norm\": 0.5,\n\
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\ \"acc_norm_stderr\": 0.050251890762960605\n },\n \"harness|hendrycksTest-college_mathematics|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-college_medicine|5\": {\n \"acc\": 0.5144508670520231,\n\
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\ \"acc_stderr\": 0.03810871630454764,\n \"acc_norm\": 0.5144508670520231,\n\
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\ \"acc_norm_stderr\": 0.03810871630454764\n },\n \"harness|hendrycksTest-college_physics|5\"\
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: {\n \"acc\": 0.28431372549019607,\n \"acc_stderr\": 0.04488482852329017,\n\
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\ \"acc_norm\": 0.28431372549019607,\n \"acc_norm_stderr\": 0.04488482852329017\n\
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\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
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\ 0.66,\n \"acc_stderr\": 0.04760952285695237,\n \"acc_norm\": 0.66,\n\
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\ \"acc_norm_stderr\": 0.04760952285695237\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
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: {\n \"acc\": 0.4553191489361702,\n \"acc_stderr\": 0.03255525359340355,\n\
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\ \"acc_norm\": 0.4553191489361702,\n \"acc_norm_stderr\": 0.03255525359340355\n\
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\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.2807017543859649,\n\
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\ \"acc_stderr\": 0.04227054451232199,\n \"acc_norm\": 0.2807017543859649,\n\
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\ \"acc_norm_stderr\": 0.04227054451232199\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
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: {\n \"acc\": 0.5103448275862069,\n \"acc_stderr\": 0.04165774775728763,\n\
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\ \"acc_norm\": 0.5103448275862069,\n \"acc_norm_stderr\": 0.04165774775728763\n\
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\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
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: 0.35185185185185186,\n \"acc_stderr\": 0.024594975128920938,\n \"\
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acc_norm\": 0.35185185185185186,\n \"acc_norm_stderr\": 0.024594975128920938\n\
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\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.42857142857142855,\n\
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\ \"acc_stderr\": 0.04426266681379909,\n \"acc_norm\": 0.42857142857142855,\n\
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\ \"acc_norm_stderr\": 0.04426266681379909\n },\n \"harness|hendrycksTest-global_facts|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-high_school_biology|5\": {\n \"acc\"\
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: 0.6290322580645161,\n \"acc_stderr\": 0.027480541887953593,\n \"\
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acc_norm\": 0.6290322580645161,\n \"acc_norm_stderr\": 0.027480541887953593\n\
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\ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\
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: 0.4039408866995074,\n \"acc_stderr\": 0.03452453903822039,\n \"\
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acc_norm\": 0.4039408866995074,\n \"acc_norm_stderr\": 0.03452453903822039\n\
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\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
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\ \"acc\": 0.57,\n \"acc_stderr\": 0.04975698519562428,\n \"acc_norm\"\
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: 0.57,\n \"acc_norm_stderr\": 0.04975698519562428\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
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: {\n \"acc\": 0.7151515151515152,\n \"acc_stderr\": 0.035243908445117815,\n\
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\ \"acc_norm\": 0.7151515151515152,\n \"acc_norm_stderr\": 0.035243908445117815\n\
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\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
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: 0.7121212121212122,\n \"acc_stderr\": 0.03225883512300993,\n \"\
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acc_norm\": 0.7121212121212122,\n \"acc_norm_stderr\": 0.03225883512300993\n\
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\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
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\ \"acc\": 0.8134715025906736,\n \"acc_stderr\": 0.02811209121011748,\n\
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\ \"acc_norm\": 0.8134715025906736,\n \"acc_norm_stderr\": 0.02811209121011748\n\
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\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
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\ \"acc\": 0.5641025641025641,\n \"acc_stderr\": 0.025141801511177498,\n\
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\ \"acc_norm\": 0.5641025641025641,\n \"acc_norm_stderr\": 0.025141801511177498\n\
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\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
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acc\": 0.31851851851851853,\n \"acc_stderr\": 0.028406533090608463,\n \
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\ \"acc_norm\": 0.31851851851851853,\n \"acc_norm_stderr\": 0.028406533090608463\n\
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\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
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\ \"acc\": 0.5798319327731093,\n \"acc_stderr\": 0.03206183783236152,\n \
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\ \"acc_norm\": 0.5798319327731093,\n \"acc_norm_stderr\": 0.03206183783236152\n\
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\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
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: 0.3509933774834437,\n \"acc_stderr\": 0.03896981964257375,\n \"\
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acc_norm\": 0.3509933774834437,\n \"acc_norm_stderr\": 0.03896981964257375\n\
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\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
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: 0.7853211009174312,\n \"acc_stderr\": 0.017604304149256476,\n \"\
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acc_norm\": 0.7853211009174312,\n \"acc_norm_stderr\": 0.017604304149256476\n\
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\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
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: 0.4166666666666667,\n \"acc_stderr\": 0.03362277436608044,\n \"\
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acc_norm\": 0.4166666666666667,\n \"acc_norm_stderr\": 0.03362277436608044\n\
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\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
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: 0.7892156862745098,\n \"acc_stderr\": 0.028626547912437406,\n \"\
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acc_norm\": 0.7892156862745098,\n \"acc_norm_stderr\": 0.028626547912437406\n\
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\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
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acc\": 0.7721518987341772,\n \"acc_stderr\": 0.027303484599069432,\n \
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\ \"acc_norm\": 0.7721518987341772,\n \"acc_norm_stderr\": 0.027303484599069432\n\
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\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.695067264573991,\n\
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\ \"acc_stderr\": 0.030898610882477515,\n \"acc_norm\": 0.695067264573991,\n\
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\ \"acc_norm_stderr\": 0.030898610882477515\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
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: {\n \"acc\": 0.6106870229007634,\n \"acc_stderr\": 0.04276486542814591,\n\
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\ \"acc_norm\": 0.6106870229007634,\n \"acc_norm_stderr\": 0.04276486542814591\n\
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\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
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\ 0.71900826446281,\n \"acc_stderr\": 0.041032038305145124,\n \"acc_norm\"\
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: 0.71900826446281,\n \"acc_norm_stderr\": 0.041032038305145124\n },\n\
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\ \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7685185185185185,\n\
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\ \"acc_stderr\": 0.04077494709252626,\n \"acc_norm\": 0.7685185185185185,\n\
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\ \"acc_norm_stderr\": 0.04077494709252626\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
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: {\n \"acc\": 0.6993865030674846,\n \"acc_stderr\": 0.03602511318806771,\n\
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\ \"acc_norm\": 0.6993865030674846,\n \"acc_norm_stderr\": 0.03602511318806771\n\
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\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.4375,\n\
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\ \"acc_stderr\": 0.04708567521880525,\n \"acc_norm\": 0.4375,\n \
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\ \"acc_norm_stderr\": 0.04708567521880525\n },\n \"harness|hendrycksTest-management|5\"\
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: {\n \"acc\": 0.7087378640776699,\n \"acc_stderr\": 0.044986763205729224,\n\
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\ \"acc_norm\": 0.7087378640776699,\n \"acc_norm_stderr\": 0.044986763205729224\n\
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\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.7863247863247863,\n\
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\ \"acc_stderr\": 0.026853450377009157,\n \"acc_norm\": 0.7863247863247863,\n\
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\ \"acc_norm_stderr\": 0.026853450377009157\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
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: {\n \"acc\": 0.62,\n \"acc_stderr\": 0.048783173121456316,\n \
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\ \"acc_norm\": 0.62,\n \"acc_norm_stderr\": 0.048783173121456316\n \
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\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.776500638569604,\n\
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\ \"acc_stderr\": 0.01489723522945071,\n \"acc_norm\": 0.776500638569604,\n\
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\ \"acc_norm_stderr\": 0.01489723522945071\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
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: {\n \"acc\": 0.6184971098265896,\n \"acc_stderr\": 0.0261521986197268,\n\
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\ \"acc_norm\": 0.6184971098265896,\n \"acc_norm_stderr\": 0.0261521986197268\n\
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\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.4659217877094972,\n\
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\ \"acc_stderr\": 0.016683615837486874,\n \"acc_norm\": 0.4659217877094972,\n\
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\ \"acc_norm_stderr\": 0.016683615837486874\n },\n \"harness|hendrycksTest-nutrition|5\"\
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: {\n \"acc\": 0.6176470588235294,\n \"acc_stderr\": 0.02782610930728369,\n\
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\ \"acc_norm\": 0.6176470588235294,\n \"acc_norm_stderr\": 0.02782610930728369\n\
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\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6591639871382636,\n\
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\ \"acc_stderr\": 0.026920841260776162,\n \"acc_norm\": 0.6591639871382636,\n\
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\ \"acc_norm_stderr\": 0.026920841260776162\n },\n \"harness|hendrycksTest-prehistory|5\"\
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: {\n \"acc\": 0.6512345679012346,\n \"acc_stderr\": 0.02651759772446501,\n\
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\ \"acc_norm\": 0.6512345679012346,\n \"acc_norm_stderr\": 0.02651759772446501\n\
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\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
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acc\": 0.450354609929078,\n \"acc_stderr\": 0.029680105565029036,\n \
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\ \"acc_norm\": 0.450354609929078,\n \"acc_norm_stderr\": 0.029680105565029036\n\
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\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4517601043024772,\n\
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\ \"acc_stderr\": 0.012710662233660247,\n \"acc_norm\": 0.4517601043024772,\n\
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\ \"acc_norm_stderr\": 0.012710662233660247\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
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: {\n \"acc\": 0.5514705882352942,\n \"acc_stderr\": 0.030211479609121596,\n\
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\ \"acc_norm\": 0.5514705882352942,\n \"acc_norm_stderr\": 0.030211479609121596\n\
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\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
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acc\": 0.5915032679738562,\n \"acc_stderr\": 0.01988622103750187,\n \
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\ \"acc_norm\": 0.5915032679738562,\n \"acc_norm_stderr\": 0.01988622103750187\n\
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\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6545454545454545,\n\
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\ \"acc_stderr\": 0.04554619617541054,\n \"acc_norm\": 0.6545454545454545,\n\
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\ \"acc_norm_stderr\": 0.04554619617541054\n },\n \"harness|hendrycksTest-security_studies|5\"\
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: {\n \"acc\": 0.6612244897959184,\n \"acc_stderr\": 0.030299506562154185,\n\
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\ \"acc_norm\": 0.6612244897959184,\n \"acc_norm_stderr\": 0.030299506562154185\n\
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\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.736318407960199,\n\
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\ \"acc_stderr\": 0.031157150869355558,\n \"acc_norm\": 0.736318407960199,\n\
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\ \"acc_norm_stderr\": 0.031157150869355558\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\": 0.5060240963855421,\n\
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\ \"acc_stderr\": 0.03892212195333045,\n \"acc_norm\": 0.5060240963855421,\n\
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\ \"acc_norm_stderr\": 0.03892212195333045\n },\n \"harness|hendrycksTest-world_religions|5\"\
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: {\n \"acc\": 0.8011695906432749,\n \"acc_stderr\": 0.030611116557432528,\n\
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\ \"acc_norm\": 0.8011695906432749,\n \"acc_norm_stderr\": 0.030611116557432528\n\
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\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.35495716034271724,\n\
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\ \"mc1_stderr\": 0.016750862381375898,\n \"mc2\": 0.5123791318165158,\n\
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\ \"mc2_stderr\": 0.01594464595457043\n }\n}\n```"
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repo_url: https://huggingface.co/Sao10K/Medusa-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_2023-08-28T23:11:54.790657.parquet'
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- config_name: harness_hellaswag_10
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data_files:
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- split: 2023_08_28T23_11_54.790657
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- split: latest
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path:
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- '**/details_harness|hellaswag|10_2023-08-28T23:11:54.790657.parquet'
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-
- config_name:
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data_files:
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- split: 2023_08_28T23_11_54.790657
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path:
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@@ -781,14 +646,25 @@ configs:
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- split: latest
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path:
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| 783 |
- '**/details_harness|truthfulqa:mc|0_2023-08-28T23:11:54.790657.parquet'
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- config_name: results
|
| 785 |
data_files:
|
| 786 |
- split: 2023_08_28T23_11_54.790657
|
| 787 |
path:
|
| 788 |
- results_2023-08-28T23:11:54.790657.parquet
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- split: latest
|
| 790 |
path:
|
| 791 |
-
- results_2023-
|
| 792 |
---
|
| 793 |
|
| 794 |
# Dataset Card for Evaluation run of Sao10K/Medusa-13b
|
|
@@ -805,9 +681,9 @@ configs:
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|
| 805 |
|
| 806 |
Dataset automatically created during the evaluation run of model [Sao10K/Medusa-13b](https://huggingface.co/Sao10K/Medusa-13b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
|
| 807 |
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| 808 |
-
The dataset is composed of
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| 809 |
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-
The dataset has been created from
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| 811 |
|
| 812 |
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)).
|
| 813 |
|
|
@@ -815,385 +691,37 @@ To load the details from a run, you can for instance do the following:
|
|
| 815 |
```python
|
| 816 |
from datasets import load_dataset
|
| 817 |
data = load_dataset("open-llm-leaderboard/details_Sao10K__Medusa-13b",
|
| 818 |
-
"
|
| 819 |
split="train")
|
| 820 |
```
|
| 821 |
|
| 822 |
## Latest results
|
| 823 |
|
| 824 |
-
These are the [latest results from run 2023-
|
| 825 |
|
| 826 |
```python
|
| 827 |
{
|
| 828 |
"all": {
|
| 829 |
-
"
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| 830 |
-
"
|
| 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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-
"
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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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-
"
|
| 848 |
-
"
|
| 849 |
-
},
|
| 850 |
-
"harness|hendrycksTest-abstract_algebra|5": {
|
| 851 |
-
"acc": 0.33,
|
| 852 |
-
"acc_stderr": 0.04725815626252605,
|
| 853 |
-
"acc_norm": 0.33,
|
| 854 |
-
"acc_norm_stderr": 0.04725815626252605
|
| 855 |
-
},
|
| 856 |
-
"harness|hendrycksTest-anatomy|5": {
|
| 857 |
-
"acc": 0.45925925925925926,
|
| 858 |
-
"acc_stderr": 0.04304979692464243,
|
| 859 |
-
"acc_norm": 0.45925925925925926,
|
| 860 |
-
"acc_norm_stderr": 0.04304979692464243
|
| 861 |
-
},
|
| 862 |
-
"harness|hendrycksTest-astronomy|5": {
|
| 863 |
-
"acc": 0.5526315789473685,
|
| 864 |
-
"acc_stderr": 0.040463368839782514,
|
| 865 |
-
"acc_norm": 0.5526315789473685,
|
| 866 |
-
"acc_norm_stderr": 0.040463368839782514
|
| 867 |
-
},
|
| 868 |
-
"harness|hendrycksTest-business_ethics|5": {
|
| 869 |
-
"acc": 0.57,
|
| 870 |
-
"acc_stderr": 0.049756985195624284,
|
| 871 |
-
"acc_norm": 0.57,
|
| 872 |
-
"acc_norm_stderr": 0.049756985195624284
|
| 873 |
-
},
|
| 874 |
-
"harness|hendrycksTest-clinical_knowledge|5": {
|
| 875 |
-
"acc": 0.6,
|
| 876 |
-
"acc_stderr": 0.030151134457776292,
|
| 877 |
-
"acc_norm": 0.6,
|
| 878 |
-
"acc_norm_stderr": 0.030151134457776292
|
| 879 |
-
},
|
| 880 |
-
"harness|hendrycksTest-college_biology|5": {
|
| 881 |
-
"acc": 0.6458333333333334,
|
| 882 |
-
"acc_stderr": 0.039994111357535424,
|
| 883 |
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"acc_norm": 0.6458333333333334,
|
| 884 |
-
"acc_norm_stderr": 0.039994111357535424
|
| 885 |
-
},
|
| 886 |
-
"harness|hendrycksTest-college_chemistry|5": {
|
| 887 |
-
"acc": 0.39,
|
| 888 |
-
"acc_stderr": 0.04902071300001975,
|
| 889 |
-
"acc_norm": 0.39,
|
| 890 |
-
"acc_norm_stderr": 0.04902071300001975
|
| 891 |
-
},
|
| 892 |
-
"harness|hendrycksTest-college_computer_science|5": {
|
| 893 |
-
"acc": 0.5,
|
| 894 |
-
"acc_stderr": 0.050251890762960605,
|
| 895 |
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"acc_norm": 0.5,
|
| 896 |
-
"acc_norm_stderr": 0.050251890762960605
|
| 897 |
-
},
|
| 898 |
-
"harness|hendrycksTest-college_mathematics|5": {
|
| 899 |
-
"acc": 0.35,
|
| 900 |
-
"acc_stderr": 0.047937248544110196,
|
| 901 |
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"acc_norm": 0.35,
|
| 902 |
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"acc_norm_stderr": 0.047937248544110196
|
| 903 |
-
},
|
| 904 |
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"harness|hendrycksTest-college_medicine|5": {
|
| 905 |
-
"acc": 0.5144508670520231,
|
| 906 |
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"acc_stderr": 0.03810871630454764,
|
| 907 |
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"acc_norm": 0.5144508670520231,
|
| 908 |
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"acc_norm_stderr": 0.03810871630454764
|
| 909 |
-
},
|
| 910 |
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"harness|hendrycksTest-college_physics|5": {
|
| 911 |
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|
| 912 |
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| 913 |
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"acc_norm": 0.28431372549019607,
|
| 914 |
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"acc_norm_stderr": 0.04488482852329017
|
| 915 |
-
},
|
| 916 |
-
"harness|hendrycksTest-computer_security|5": {
|
| 917 |
-
"acc": 0.66,
|
| 918 |
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"acc_stderr": 0.04760952285695237,
|
| 919 |
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"acc_norm": 0.66,
|
| 920 |
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"acc_norm_stderr": 0.04760952285695237
|
| 921 |
-
},
|
| 922 |
-
"harness|hendrycksTest-conceptual_physics|5": {
|
| 923 |
-
"acc": 0.4553191489361702,
|
| 924 |
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|
| 925 |
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"acc_norm": 0.4553191489361702,
|
| 926 |
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|
| 927 |
-
},
|
| 928 |
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"harness|hendrycksTest-econometrics|5": {
|
| 929 |
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|
| 930 |
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| 931 |
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|
| 932 |
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|
| 933 |
-
},
|
| 934 |
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"harness|hendrycksTest-electrical_engineering|5": {
|
| 935 |
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|
| 936 |
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|
| 937 |
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|
| 938 |
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|
| 939 |
-
},
|
| 940 |
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"harness|hendrycksTest-elementary_mathematics|5": {
|
| 941 |
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|
| 942 |
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|
| 943 |
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"acc_norm": 0.35185185185185186,
|
| 944 |
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|
| 945 |
-
},
|
| 946 |
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"harness|hendrycksTest-formal_logic|5": {
|
| 947 |
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|
| 948 |
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| 949 |
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|
| 950 |
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|
| 951 |
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},
|
| 952 |
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"harness|hendrycksTest-global_facts|5": {
|
| 953 |
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"acc": 0.38,
|
| 954 |
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|
| 955 |
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| 956 |
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| 957 |
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|
| 958 |
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"harness|hendrycksTest-high_school_biology|5": {
|
| 959 |
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| 960 |
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| 962 |
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|
| 963 |
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|
| 964 |
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"harness|hendrycksTest-high_school_chemistry|5": {
|
| 965 |
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|
| 966 |
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| 968 |
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|
| 969 |
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},
|
| 970 |
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"harness|hendrycksTest-high_school_computer_science|5": {
|
| 971 |
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"acc": 0.57,
|
| 972 |
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|
| 973 |
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| 974 |
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|
| 975 |
-
},
|
| 976 |
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"harness|hendrycksTest-high_school_european_history|5": {
|
| 977 |
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"acc": 0.7151515151515152,
|
| 978 |
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| 979 |
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| 980 |
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|
| 981 |
-
},
|
| 982 |
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"harness|hendrycksTest-high_school_geography|5": {
|
| 983 |
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"acc": 0.7121212121212122,
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| 984 |
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| 985 |
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"acc_norm": 0.7121212121212122,
|
| 986 |
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"acc_norm_stderr": 0.03225883512300993
|
| 987 |
-
},
|
| 988 |
-
"harness|hendrycksTest-high_school_government_and_politics|5": {
|
| 989 |
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"acc": 0.8134715025906736,
|
| 990 |
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"acc_stderr": 0.02811209121011748,
|
| 991 |
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| 992 |
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|
| 993 |
-
},
|
| 994 |
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"harness|hendrycksTest-high_school_macroeconomics|5": {
|
| 995 |
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"acc": 0.5641025641025641,
|
| 996 |
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|
| 998 |
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"acc_norm_stderr": 0.025141801511177498
|
| 999 |
-
},
|
| 1000 |
-
"harness|hendrycksTest-high_school_mathematics|5": {
|
| 1001 |
-
"acc": 0.31851851851851853,
|
| 1002 |
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|
| 1003 |
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"acc_norm": 0.31851851851851853,
|
| 1004 |
-
"acc_norm_stderr": 0.028406533090608463
|
| 1005 |
-
},
|
| 1006 |
-
"harness|hendrycksTest-high_school_microeconomics|5": {
|
| 1007 |
-
"acc": 0.5798319327731093,
|
| 1008 |
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|
| 1009 |
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|
| 1010 |
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|
| 1011 |
-
},
|
| 1012 |
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|
| 1013 |
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|
| 1014 |
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| 1015 |
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|
| 1016 |
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|
| 1017 |
-
},
|
| 1018 |
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"harness|hendrycksTest-high_school_psychology|5": {
|
| 1019 |
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|
| 1020 |
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|
| 1021 |
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|
| 1022 |
-
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|
| 1023 |
-
},
|
| 1024 |
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"harness|hendrycksTest-high_school_statistics|5": {
|
| 1025 |
-
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|
| 1026 |
-
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|
| 1027 |
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|
| 1028 |
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|
| 1029 |
-
},
|
| 1030 |
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"harness|hendrycksTest-high_school_us_history|5": {
|
| 1031 |
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"acc": 0.7892156862745098,
|
| 1032 |
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|
| 1033 |
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"acc_norm": 0.7892156862745098,
|
| 1034 |
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|
| 1035 |
-
},
|
| 1036 |
-
"harness|hendrycksTest-high_school_world_history|5": {
|
| 1037 |
-
"acc": 0.7721518987341772,
|
| 1038 |
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|
| 1039 |
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|
| 1040 |
-
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|
| 1041 |
-
},
|
| 1042 |
-
"harness|hendrycksTest-human_aging|5": {
|
| 1043 |
-
"acc": 0.695067264573991,
|
| 1044 |
-
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| 1045 |
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|
| 1046 |
-
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|
| 1047 |
-
},
|
| 1048 |
-
"harness|hendrycksTest-human_sexuality|5": {
|
| 1049 |
-
"acc": 0.6106870229007634,
|
| 1050 |
-
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|
| 1051 |
-
"acc_norm": 0.6106870229007634,
|
| 1052 |
-
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|
| 1053 |
-
},
|
| 1054 |
-
"harness|hendrycksTest-international_law|5": {
|
| 1055 |
-
"acc": 0.71900826446281,
|
| 1056 |
-
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|
| 1057 |
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"acc_norm": 0.71900826446281,
|
| 1058 |
-
"acc_norm_stderr": 0.041032038305145124
|
| 1059 |
-
},
|
| 1060 |
-
"harness|hendrycksTest-jurisprudence|5": {
|
| 1061 |
-
"acc": 0.7685185185185185,
|
| 1062 |
-
"acc_stderr": 0.04077494709252626,
|
| 1063 |
-
"acc_norm": 0.7685185185185185,
|
| 1064 |
-
"acc_norm_stderr": 0.04077494709252626
|
| 1065 |
-
},
|
| 1066 |
-
"harness|hendrycksTest-logical_fallacies|5": {
|
| 1067 |
-
"acc": 0.6993865030674846,
|
| 1068 |
-
"acc_stderr": 0.03602511318806771,
|
| 1069 |
-
"acc_norm": 0.6993865030674846,
|
| 1070 |
-
"acc_norm_stderr": 0.03602511318806771
|
| 1071 |
-
},
|
| 1072 |
-
"harness|hendrycksTest-machine_learning|5": {
|
| 1073 |
-
"acc": 0.4375,
|
| 1074 |
-
"acc_stderr": 0.04708567521880525,
|
| 1075 |
-
"acc_norm": 0.4375,
|
| 1076 |
-
"acc_norm_stderr": 0.04708567521880525
|
| 1077 |
-
},
|
| 1078 |
-
"harness|hendrycksTest-management|5": {
|
| 1079 |
-
"acc": 0.7087378640776699,
|
| 1080 |
-
"acc_stderr": 0.044986763205729224,
|
| 1081 |
-
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|
| 1082 |
-
"acc_norm_stderr": 0.044986763205729224
|
| 1083 |
-
},
|
| 1084 |
-
"harness|hendrycksTest-marketing|5": {
|
| 1085 |
-
"acc": 0.7863247863247863,
|
| 1086 |
-
"acc_stderr": 0.026853450377009157,
|
| 1087 |
-
"acc_norm": 0.7863247863247863,
|
| 1088 |
-
"acc_norm_stderr": 0.026853450377009157
|
| 1089 |
-
},
|
| 1090 |
-
"harness|hendrycksTest-medical_genetics|5": {
|
| 1091 |
-
"acc": 0.62,
|
| 1092 |
-
"acc_stderr": 0.048783173121456316,
|
| 1093 |
-
"acc_norm": 0.62,
|
| 1094 |
-
"acc_norm_stderr": 0.048783173121456316
|
| 1095 |
-
},
|
| 1096 |
-
"harness|hendrycksTest-miscellaneous|5": {
|
| 1097 |
-
"acc": 0.776500638569604,
|
| 1098 |
-
"acc_stderr": 0.01489723522945071,
|
| 1099 |
-
"acc_norm": 0.776500638569604,
|
| 1100 |
-
"acc_norm_stderr": 0.01489723522945071
|
| 1101 |
-
},
|
| 1102 |
-
"harness|hendrycksTest-moral_disputes|5": {
|
| 1103 |
-
"acc": 0.6184971098265896,
|
| 1104 |
-
"acc_stderr": 0.0261521986197268,
|
| 1105 |
-
"acc_norm": 0.6184971098265896,
|
| 1106 |
-
"acc_norm_stderr": 0.0261521986197268
|
| 1107 |
-
},
|
| 1108 |
-
"harness|hendrycksTest-moral_scenarios|5": {
|
| 1109 |
-
"acc": 0.4659217877094972,
|
| 1110 |
-
"acc_stderr": 0.016683615837486874,
|
| 1111 |
-
"acc_norm": 0.4659217877094972,
|
| 1112 |
-
"acc_norm_stderr": 0.016683615837486874
|
| 1113 |
-
},
|
| 1114 |
-
"harness|hendrycksTest-nutrition|5": {
|
| 1115 |
-
"acc": 0.6176470588235294,
|
| 1116 |
-
"acc_stderr": 0.02782610930728369,
|
| 1117 |
-
"acc_norm": 0.6176470588235294,
|
| 1118 |
-
"acc_norm_stderr": 0.02782610930728369
|
| 1119 |
-
},
|
| 1120 |
-
"harness|hendrycksTest-philosophy|5": {
|
| 1121 |
-
"acc": 0.6591639871382636,
|
| 1122 |
-
"acc_stderr": 0.026920841260776162,
|
| 1123 |
-
"acc_norm": 0.6591639871382636,
|
| 1124 |
-
"acc_norm_stderr": 0.026920841260776162
|
| 1125 |
-
},
|
| 1126 |
-
"harness|hendrycksTest-prehistory|5": {
|
| 1127 |
-
"acc": 0.6512345679012346,
|
| 1128 |
-
"acc_stderr": 0.02651759772446501,
|
| 1129 |
-
"acc_norm": 0.6512345679012346,
|
| 1130 |
-
"acc_norm_stderr": 0.02651759772446501
|
| 1131 |
-
},
|
| 1132 |
-
"harness|hendrycksTest-professional_accounting|5": {
|
| 1133 |
-
"acc": 0.450354609929078,
|
| 1134 |
-
"acc_stderr": 0.029680105565029036,
|
| 1135 |
-
"acc_norm": 0.450354609929078,
|
| 1136 |
-
"acc_norm_stderr": 0.029680105565029036
|
| 1137 |
-
},
|
| 1138 |
-
"harness|hendrycksTest-professional_law|5": {
|
| 1139 |
-
"acc": 0.4517601043024772,
|
| 1140 |
-
"acc_stderr": 0.012710662233660247,
|
| 1141 |
-
"acc_norm": 0.4517601043024772,
|
| 1142 |
-
"acc_norm_stderr": 0.012710662233660247
|
| 1143 |
-
},
|
| 1144 |
-
"harness|hendrycksTest-professional_medicine|5": {
|
| 1145 |
-
"acc": 0.5514705882352942,
|
| 1146 |
-
"acc_stderr": 0.030211479609121596,
|
| 1147 |
-
"acc_norm": 0.5514705882352942,
|
| 1148 |
-
"acc_norm_stderr": 0.030211479609121596
|
| 1149 |
-
},
|
| 1150 |
-
"harness|hendrycksTest-professional_psychology|5": {
|
| 1151 |
-
"acc": 0.5915032679738562,
|
| 1152 |
-
"acc_stderr": 0.01988622103750187,
|
| 1153 |
-
"acc_norm": 0.5915032679738562,
|
| 1154 |
-
"acc_norm_stderr": 0.01988622103750187
|
| 1155 |
-
},
|
| 1156 |
-
"harness|hendrycksTest-public_relations|5": {
|
| 1157 |
-
"acc": 0.6545454545454545,
|
| 1158 |
-
"acc_stderr": 0.04554619617541054,
|
| 1159 |
-
"acc_norm": 0.6545454545454545,
|
| 1160 |
-
"acc_norm_stderr": 0.04554619617541054
|
| 1161 |
-
},
|
| 1162 |
-
"harness|hendrycksTest-security_studies|5": {
|
| 1163 |
-
"acc": 0.6612244897959184,
|
| 1164 |
-
"acc_stderr": 0.030299506562154185,
|
| 1165 |
-
"acc_norm": 0.6612244897959184,
|
| 1166 |
-
"acc_norm_stderr": 0.030299506562154185
|
| 1167 |
-
},
|
| 1168 |
-
"harness|hendrycksTest-sociology|5": {
|
| 1169 |
-
"acc": 0.736318407960199,
|
| 1170 |
-
"acc_stderr": 0.031157150869355558,
|
| 1171 |
-
"acc_norm": 0.736318407960199,
|
| 1172 |
-
"acc_norm_stderr": 0.031157150869355558
|
| 1173 |
-
},
|
| 1174 |
-
"harness|hendrycksTest-us_foreign_policy|5": {
|
| 1175 |
-
"acc": 0.79,
|
| 1176 |
-
"acc_stderr": 0.040936018074033256,
|
| 1177 |
-
"acc_norm": 0.79,
|
| 1178 |
-
"acc_norm_stderr": 0.040936018074033256
|
| 1179 |
-
},
|
| 1180 |
-
"harness|hendrycksTest-virology|5": {
|
| 1181 |
-
"acc": 0.5060240963855421,
|
| 1182 |
-
"acc_stderr": 0.03892212195333045,
|
| 1183 |
-
"acc_norm": 0.5060240963855421,
|
| 1184 |
-
"acc_norm_stderr": 0.03892212195333045
|
| 1185 |
-
},
|
| 1186 |
-
"harness|hendrycksTest-world_religions|5": {
|
| 1187 |
-
"acc": 0.8011695906432749,
|
| 1188 |
-
"acc_stderr": 0.030611116557432528,
|
| 1189 |
-
"acc_norm": 0.8011695906432749,
|
| 1190 |
-
"acc_norm_stderr": 0.030611116557432528
|
| 1191 |
-
},
|
| 1192 |
-
"harness|truthfulqa:mc|0": {
|
| 1193 |
-
"mc1": 0.35495716034271724,
|
| 1194 |
-
"mc1_stderr": 0.016750862381375898,
|
| 1195 |
-
"mc2": 0.5123791318165158,
|
| 1196 |
-
"mc2_stderr": 0.01594464595457043
|
| 1197 |
}
|
| 1198 |
}
|
| 1199 |
```
|
|
|
|
| 3 |
dataset_summary: "Dataset automatically created during the evaluation run of model\
|
| 4 |
\ [Sao10K/Medusa-13b](https://huggingface.co/Sao10K/Medusa-13b) on the [Open LLM\
|
| 5 |
\ 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_Sao10K__Medusa-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 2023-09-22T23:00:36.340269](https://huggingface.co/datasets/open-llm-leaderboard/details_Sao10K__Medusa-13b/blob/main/results_2023-09-22T23-00-36.340269.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\": 0.08682885906040269,\n\
|
| 20 |
+
\ \"em_stderr\": 0.0028836847948924805,\n \"f1\": 0.20613359899328837,\n\
|
| 21 |
+
\ \"f1_stderr\": 0.003265939806465616,\n \"acc\": 0.4007308040520042,\n\
|
| 22 |
+
\ \"acc_stderr\": 0.009687702523105881\n },\n \"harness|drop|3\": {\n\
|
| 23 |
+
\ \"em\": 0.08682885906040269,\n \"em_stderr\": 0.0028836847948924805,\n\
|
| 24 |
+
\ \"f1\": 0.20613359899328837,\n \"f1_stderr\": 0.003265939806465616\n\
|
| 25 |
+
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.06823351023502654,\n \
|
| 26 |
+
\ \"acc_stderr\": 0.006945358944067429\n },\n \"harness|winogrande|5\"\
|
| 27 |
+
: {\n \"acc\": 0.7332280978689818,\n \"acc_stderr\": 0.012430046102144333\n\
|
| 28 |
+
\ }\n}\n```"
|
|
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|
|
| 29 |
repo_url: https://huggingface.co/Sao10K/Medusa-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_2023-08-28T23:11:54.790657.parquet'
|
| 41 |
+
- config_name: harness_drop_3
|
| 42 |
+
data_files:
|
| 43 |
+
- split: 2023_09_22T23_00_36.340269
|
| 44 |
+
path:
|
| 45 |
+
- '**/details_harness|drop|3_2023-09-22T23-00-36.340269.parquet'
|
| 46 |
+
- split: latest
|
| 47 |
+
path:
|
| 48 |
+
- '**/details_harness|drop|3_2023-09-22T23-00-36.340269.parquet'
|
| 49 |
+
- config_name: harness_gsm8k_5
|
| 50 |
+
data_files:
|
| 51 |
+
- split: 2023_09_22T23_00_36.340269
|
| 52 |
+
path:
|
| 53 |
+
- '**/details_harness|gsm8k|5_2023-09-22T23-00-36.340269.parquet'
|
| 54 |
+
- split: latest
|
| 55 |
+
path:
|
| 56 |
+
- '**/details_harness|gsm8k|5_2023-09-22T23-00-36.340269.parquet'
|
| 57 |
- config_name: harness_hellaswag_10
|
| 58 |
data_files:
|
| 59 |
- split: 2023_08_28T23_11_54.790657
|
|
|
|
| 62 |
- split: latest
|
| 63 |
path:
|
| 64 |
- '**/details_harness|hellaswag|10_2023-08-28T23:11:54.790657.parquet'
|
| 65 |
+
- config_name: harness_hendrycksTest_5
|
| 66 |
data_files:
|
| 67 |
- split: 2023_08_28T23_11_54.790657
|
| 68 |
path:
|
|
|
|
| 646 |
- split: latest
|
| 647 |
path:
|
| 648 |
- '**/details_harness|truthfulqa:mc|0_2023-08-28T23:11:54.790657.parquet'
|
| 649 |
+
- config_name: harness_winogrande_5
|
| 650 |
+
data_files:
|
| 651 |
+
- split: 2023_09_22T23_00_36.340269
|
| 652 |
+
path:
|
| 653 |
+
- '**/details_harness|winogrande|5_2023-09-22T23-00-36.340269.parquet'
|
| 654 |
+
- split: latest
|
| 655 |
+
path:
|
| 656 |
+
- '**/details_harness|winogrande|5_2023-09-22T23-00-36.340269.parquet'
|
| 657 |
- config_name: results
|
| 658 |
data_files:
|
| 659 |
- split: 2023_08_28T23_11_54.790657
|
| 660 |
path:
|
| 661 |
- results_2023-08-28T23:11:54.790657.parquet
|
| 662 |
+
- split: 2023_09_22T23_00_36.340269
|
| 663 |
+
path:
|
| 664 |
+
- results_2023-09-22T23-00-36.340269.parquet
|
| 665 |
- split: latest
|
| 666 |
path:
|
| 667 |
+
- results_2023-09-22T23-00-36.340269.parquet
|
| 668 |
---
|
| 669 |
|
| 670 |
# Dataset Card for Evaluation run of Sao10K/Medusa-13b
|
|
|
|
| 681 |
|
| 682 |
Dataset automatically created during the evaluation run of model [Sao10K/Medusa-13b](https://huggingface.co/Sao10K/Medusa-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_Sao10K__Medusa-13b",
|
| 694 |
+
"harness_winogrande_5",
|
| 695 |
split="train")
|
| 696 |
```
|
| 697 |
|
| 698 |
## Latest results
|
| 699 |
|
| 700 |
+
These are the [latest results from run 2023-09-22T23:00:36.340269](https://huggingface.co/datasets/open-llm-leaderboard/details_Sao10K__Medusa-13b/blob/main/results_2023-09-22T23-00-36.340269.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": 0.08682885906040269,
|
| 706 |
+
"em_stderr": 0.0028836847948924805,
|
| 707 |
+
"f1": 0.20613359899328837,
|
| 708 |
+
"f1_stderr": 0.003265939806465616,
|
| 709 |
+
"acc": 0.4007308040520042,
|
| 710 |
+
"acc_stderr": 0.009687702523105881
|
| 711 |
+
},
|
| 712 |
+
"harness|drop|3": {
|
| 713 |
+
"em": 0.08682885906040269,
|
| 714 |
+
"em_stderr": 0.0028836847948924805,
|
| 715 |
+
"f1": 0.20613359899328837,
|
| 716 |
+
"f1_stderr": 0.003265939806465616
|
| 717 |
+
},
|
| 718 |
+
"harness|gsm8k|5": {
|
| 719 |
+
"acc": 0.06823351023502654,
|
| 720 |
+
"acc_stderr": 0.006945358944067429
|
| 721 |
+
},
|
| 722 |
+
"harness|winogrande|5": {
|
| 723 |
+
"acc": 0.7332280978689818,
|
| 724 |
+
"acc_stderr": 0.012430046102144333
|
|
|
|
|
|
|
|
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| 725 |
}
|
| 726 |
}
|
| 727 |
```
|