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Upload README.md with huggingface_hub
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README.md
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@@ -3,8 +3,8 @@ pretty_name: Evaluation run of harborwater/wizard-orca-3b
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dataset_summary: "Dataset automatically created during the evaluation run of model\
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\ [harborwater/wizard-orca-3b](https://huggingface.co/harborwater/wizard-orca-3b)\
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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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@@ -12,172 +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_harborwater__wizard-orca-3b\"\
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,\n\t\"
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-
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\ that their might be results for other tasks in the repos if successive evals didn't\
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\ cover the same tasks. You find each in the results and the \"latest\" split for\
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\ each eval):\n\n```python\n{\n \"all\": {\n \"
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\ \"
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\ \"
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\ \"
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\ \"
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\
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\ },\n \"harness|
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\ \"
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\
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: {\n \"acc\": 0.16,\n \"acc_stderr\": 0.03684529491774709,\n \
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\ \"acc_norm\": 0.16,\n \"acc_norm_stderr\": 0.03684529491774709\n \
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\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.17777777777777778,\n\
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\ \"acc_stderr\": 0.033027898599017176,\n \"acc_norm\": 0.17777777777777778,\n\
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\ \"acc_norm_stderr\": 0.033027898599017176\n },\n \"harness|hendrycksTest-astronomy|5\"\
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: {\n \"acc\": 0.21710526315789475,\n \"acc_stderr\": 0.03355045304882924,\n\
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\ \"acc_norm\": 0.21710526315789475,\n \"acc_norm_stderr\": 0.03355045304882924\n\
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\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.33,\n\
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\ \"acc_stderr\": 0.04725815626252604,\n \"acc_norm\": 0.33,\n \
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\ \"acc_norm_stderr\": 0.04725815626252604\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
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: {\n \"acc\": 0.2339622641509434,\n \"acc_stderr\": 0.02605529690115292,\n\
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\ \"acc_norm\": 0.2339622641509434,\n \"acc_norm_stderr\": 0.02605529690115292\n\
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\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.25,\n\
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\ \"acc_stderr\": 0.03621034121889507,\n \"acc_norm\": 0.25,\n \
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\ \"acc_norm_stderr\": 0.03621034121889507\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
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: {\n \"acc\": 0.22,\n \"acc_stderr\": 0.041633319989322695,\n \
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\ \"acc_norm\": 0.22,\n \"acc_norm_stderr\": 0.041633319989322695\n \
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\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\
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acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \"acc_norm\"\
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: 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
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: {\n \"acc\": 0.29,\n \"acc_stderr\": 0.04560480215720684,\n \
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\ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.04560480215720684\n \
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\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.2023121387283237,\n\
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\ \"acc_stderr\": 0.03063114553919882,\n \"acc_norm\": 0.2023121387283237,\n\
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\ \"acc_norm_stderr\": 0.03063114553919882\n },\n \"harness|hendrycksTest-college_physics|5\"\
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: {\n \"acc\": 0.21568627450980393,\n \"acc_stderr\": 0.04092563958237655,\n\
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\ \"acc_norm\": 0.21568627450980393,\n \"acc_norm_stderr\": 0.04092563958237655\n\
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\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
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\ 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \"acc_norm\": 0.34,\n\
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\ \"acc_norm_stderr\": 0.04760952285695235\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
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: {\n \"acc\": 0.31063829787234043,\n \"acc_stderr\": 0.03025123757921317,\n\
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\ \"acc_norm\": 0.31063829787234043,\n \"acc_norm_stderr\": 0.03025123757921317\n\
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\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.21052631578947367,\n\
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\ \"acc_stderr\": 0.038351539543994194,\n \"acc_norm\": 0.21052631578947367,\n\
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\ \"acc_norm_stderr\": 0.038351539543994194\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
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: {\n \"acc\": 0.2620689655172414,\n \"acc_stderr\": 0.036646663372252565,\n\
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\ \"acc_norm\": 0.2620689655172414,\n \"acc_norm_stderr\": 0.036646663372252565\n\
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\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
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: 0.21693121693121692,\n \"acc_stderr\": 0.02122708244944508,\n \"\
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acc_norm\": 0.21693121693121692,\n \"acc_norm_stderr\": 0.02122708244944508\n\
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\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.2777777777777778,\n\
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\ \"acc_stderr\": 0.04006168083848876,\n \"acc_norm\": 0.2777777777777778,\n\
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\ \"acc_norm_stderr\": 0.04006168083848876\n },\n \"harness|hendrycksTest-global_facts|5\"\
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: {\n \"acc\": 0.28,\n \"acc_stderr\": 0.04512608598542128,\n \
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\ \"acc_norm\": 0.28,\n \"acc_norm_stderr\": 0.04512608598542128\n \
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\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.1870967741935484,\n\
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\ \"acc_stderr\": 0.02218571009225225,\n \"acc_norm\": 0.1870967741935484,\n\
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\ \"acc_norm_stderr\": 0.02218571009225225\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
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: {\n \"acc\": 0.15270935960591134,\n \"acc_stderr\": 0.02530890453938063,\n\
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\ \"acc_norm\": 0.15270935960591134,\n \"acc_norm_stderr\": 0.02530890453938063\n\
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\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
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\ \"acc\": 0.3,\n \"acc_stderr\": 0.046056618647183814,\n \"acc_norm\"\
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: 0.3,\n \"acc_norm_stderr\": 0.046056618647183814\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
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: {\n \"acc\": 0.24242424242424243,\n \"acc_stderr\": 0.03346409881055953,\n\
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\ \"acc_norm\": 0.24242424242424243,\n \"acc_norm_stderr\": 0.03346409881055953\n\
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\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
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: 0.16666666666666666,\n \"acc_stderr\": 0.02655220782821529,\n \"\
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acc_norm\": 0.16666666666666666,\n \"acc_norm_stderr\": 0.02655220782821529\n\
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\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
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\ \"acc\": 0.20207253886010362,\n \"acc_stderr\": 0.02897908979429673,\n\
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\ \"acc_norm\": 0.20207253886010362,\n \"acc_norm_stderr\": 0.02897908979429673\n\
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\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
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\ \"acc\": 0.2205128205128205,\n \"acc_stderr\": 0.021020672680827912,\n\
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\ \"acc_norm\": 0.2205128205128205,\n \"acc_norm_stderr\": 0.021020672680827912\n\
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\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
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acc\": 0.2111111111111111,\n \"acc_stderr\": 0.024882116857655075,\n \
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\ \"acc_norm\": 0.2111111111111111,\n \"acc_norm_stderr\": 0.024882116857655075\n\
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\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
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\ \"acc\": 0.24789915966386555,\n \"acc_stderr\": 0.028047967224176892,\n\
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\ \"acc_norm\": 0.24789915966386555,\n \"acc_norm_stderr\": 0.028047967224176892\n\
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\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
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: 0.24503311258278146,\n \"acc_stderr\": 0.03511807571804726,\n \"\
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acc_norm\": 0.24503311258278146,\n \"acc_norm_stderr\": 0.03511807571804726\n\
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\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
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: 0.21834862385321102,\n \"acc_stderr\": 0.01771260052872273,\n \"\
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acc_norm\": 0.21834862385321102,\n \"acc_norm_stderr\": 0.01771260052872273\n\
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\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
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: 0.18055555555555555,\n \"acc_stderr\": 0.026232878971491656,\n \"\
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| 107 |
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acc_norm\": 0.18055555555555555,\n \"acc_norm_stderr\": 0.026232878971491656\n\
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\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
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: 0.19117647058823528,\n \"acc_stderr\": 0.027599174300640766,\n \"\
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acc_norm\": 0.19117647058823528,\n \"acc_norm_stderr\": 0.027599174300640766\n\
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\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
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acc\": 0.2911392405063291,\n \"acc_stderr\": 0.029571601065753374,\n \
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\ \"acc_norm\": 0.2911392405063291,\n \"acc_norm_stderr\": 0.029571601065753374\n\
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\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.336322869955157,\n\
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\ \"acc_stderr\": 0.031708824268455,\n \"acc_norm\": 0.336322869955157,\n\
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| 116 |
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\ \"acc_norm_stderr\": 0.031708824268455\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
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: {\n \"acc\": 0.2824427480916031,\n \"acc_stderr\": 0.03948406125768361,\n\
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\ \"acc_norm\": 0.2824427480916031,\n \"acc_norm_stderr\": 0.03948406125768361\n\
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\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
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\ 0.23140495867768596,\n \"acc_stderr\": 0.03849856098794089,\n \"\
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acc_norm\": 0.23140495867768596,\n \"acc_norm_stderr\": 0.03849856098794089\n\
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\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.24074074074074073,\n\
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\ \"acc_stderr\": 0.04133119440243839,\n \"acc_norm\": 0.24074074074074073,\n\
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\ \"acc_norm_stderr\": 0.04133119440243839\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
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: {\n \"acc\": 0.2147239263803681,\n \"acc_stderr\": 0.03226219377286774,\n\
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\ \"acc_norm\": 0.2147239263803681,\n \"acc_norm_stderr\": 0.03226219377286774\n\
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\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.30357142857142855,\n\
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\ \"acc_stderr\": 0.04364226155841043,\n \"acc_norm\": 0.30357142857142855,\n\
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\ \"acc_norm_stderr\": 0.04364226155841043\n },\n \"harness|hendrycksTest-management|5\"\
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| 130 |
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: {\n \"acc\": 0.13592233009708737,\n \"acc_stderr\": 0.03393295729761013,\n\
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\ \"acc_norm\": 0.13592233009708737,\n \"acc_norm_stderr\": 0.03393295729761013\n\
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\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.3076923076923077,\n\
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\ \"acc_stderr\": 0.030236389942173116,\n \"acc_norm\": 0.3076923076923077,\n\
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\ \"acc_norm_stderr\": 0.030236389942173116\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
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| 135 |
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: {\n \"acc\": 0.28,\n \"acc_stderr\": 0.04512608598542129,\n \
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\ \"acc_norm\": 0.28,\n \"acc_norm_stderr\": 0.04512608598542129\n \
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\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.24265644955300128,\n\
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| 138 |
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\ \"acc_stderr\": 0.01532988894089987,\n \"acc_norm\": 0.24265644955300128,\n\
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| 139 |
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\ \"acc_norm_stderr\": 0.01532988894089987\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
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| 140 |
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: {\n \"acc\": 0.25722543352601157,\n \"acc_stderr\": 0.02353292543104428,\n\
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| 141 |
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\ \"acc_norm\": 0.25722543352601157,\n \"acc_norm_stderr\": 0.02353292543104428\n\
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\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.23687150837988827,\n\
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\ \"acc_stderr\": 0.014219570788103982,\n \"acc_norm\": 0.23687150837988827,\n\
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| 144 |
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\ \"acc_norm_stderr\": 0.014219570788103982\n },\n \"harness|hendrycksTest-nutrition|5\"\
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| 145 |
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: {\n \"acc\": 0.21568627450980393,\n \"acc_stderr\": 0.02355083135199509,\n\
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\ \"acc_norm\": 0.21568627450980393,\n \"acc_norm_stderr\": 0.02355083135199509\n\
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| 147 |
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\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.27009646302250806,\n\
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| 148 |
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\ \"acc_stderr\": 0.02521804037341063,\n \"acc_norm\": 0.27009646302250806,\n\
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| 149 |
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\ \"acc_norm_stderr\": 0.02521804037341063\n },\n \"harness|hendrycksTest-prehistory|5\"\
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| 150 |
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: {\n \"acc\": 0.24074074074074073,\n \"acc_stderr\": 0.023788583551658533,\n\
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\ \"acc_norm\": 0.24074074074074073,\n \"acc_norm_stderr\": 0.023788583551658533\n\
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| 152 |
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\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
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| 153 |
-
acc\": 0.2730496453900709,\n \"acc_stderr\": 0.026577860943307857,\n \
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| 154 |
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\ \"acc_norm\": 0.2730496453900709,\n \"acc_norm_stderr\": 0.026577860943307857\n\
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\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.2392438070404172,\n\
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| 156 |
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\ \"acc_stderr\": 0.01089612365267665,\n \"acc_norm\": 0.2392438070404172,\n\
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| 157 |
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\ \"acc_norm_stderr\": 0.01089612365267665\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
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| 158 |
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: {\n \"acc\": 0.18382352941176472,\n \"acc_stderr\": 0.023529242185193106,\n\
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| 159 |
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\ \"acc_norm\": 0.18382352941176472,\n \"acc_norm_stderr\": 0.023529242185193106\n\
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| 160 |
-
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
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| 161 |
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acc\": 0.25163398692810457,\n \"acc_stderr\": 0.017555818091322263,\n \
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| 162 |
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\ \"acc_norm\": 0.25163398692810457,\n \"acc_norm_stderr\": 0.017555818091322263\n\
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\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.2636363636363636,\n\
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| 164 |
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\ \"acc_stderr\": 0.04220224692971987,\n \"acc_norm\": 0.2636363636363636,\n\
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| 165 |
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\ \"acc_norm_stderr\": 0.04220224692971987\n },\n \"harness|hendrycksTest-security_studies|5\"\
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| 166 |
-
: {\n \"acc\": 0.21224489795918366,\n \"acc_stderr\": 0.026176967197866767,\n\
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| 167 |
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\ \"acc_norm\": 0.21224489795918366,\n \"acc_norm_stderr\": 0.026176967197866767\n\
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| 168 |
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\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.24378109452736318,\n\
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| 169 |
-
\ \"acc_stderr\": 0.030360490154014652,\n \"acc_norm\": 0.24378109452736318,\n\
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| 170 |
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\ \"acc_norm_stderr\": 0.030360490154014652\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
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| 171 |
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: {\n \"acc\": 0.3,\n \"acc_stderr\": 0.046056618647183814,\n \
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| 172 |
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\ \"acc_norm\": 0.3,\n \"acc_norm_stderr\": 0.046056618647183814\n \
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\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.3132530120481928,\n\
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\ \"acc_stderr\": 0.03610805018031023,\n \"acc_norm\": 0.3132530120481928,\n\
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| 175 |
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\ \"acc_norm_stderr\": 0.03610805018031023\n },\n \"harness|hendrycksTest-world_religions|5\"\
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| 176 |
-
: {\n \"acc\": 0.3216374269005848,\n \"acc_stderr\": 0.03582529442573122,\n\
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| 177 |
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\ \"acc_norm\": 0.3216374269005848,\n \"acc_norm_stderr\": 0.03582529442573122\n\
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\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.26193390452876375,\n\
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\ \"mc1_stderr\": 0.015392118805015027,\n \"mc2\": 0.40035714074695034,\n\
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\ \"mc2_stderr\": 0.014298393496028232\n }\n}\n```"
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repo_url: https://huggingface.co/harborwater/wizard-orca-3b
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leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
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point_of_contact: [email protected]
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- split: latest
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path:
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- '**/details_harness|arc:challenge|25_2023-10-08T19-21-18.723038.parquet'
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- config_name: harness_hellaswag_10
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data_files:
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- split: 2023_10_08T19_21_18.723038
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@@ -782,14 +646,25 @@ configs:
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- split: latest
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| 783 |
path:
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- '**/details_harness|truthfulqa:mc|0_2023-10-08T19-21-18.723038.parquet'
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- config_name: results
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data_files:
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- split: 2023_10_08T19_21_18.723038
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| 788 |
path:
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| 789 |
- results_2023-10-08T19-21-18.723038.parquet
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- split: latest
|
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path:
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-
- results_2023-10-
|
| 793 |
---
|
| 794 |
|
| 795 |
# Dataset Card for Evaluation run of harborwater/wizard-orca-3b
|
|
@@ -806,9 +681,9 @@ configs:
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|
| 806 |
|
| 807 |
Dataset automatically created during the evaluation run of model [harborwater/wizard-orca-3b](https://huggingface.co/harborwater/wizard-orca-3b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
|
| 808 |
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-
The dataset is composed of
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| 810 |
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-
The dataset has been created from
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| 812 |
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| 813 |
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)).
|
| 814 |
|
|
@@ -816,385 +691,37 @@ To load the details from a run, you can for instance do the following:
|
|
| 816 |
```python
|
| 817 |
from datasets import load_dataset
|
| 818 |
data = load_dataset("open-llm-leaderboard/details_harborwater__wizard-orca-3b",
|
| 819 |
-
"
|
| 820 |
split="train")
|
| 821 |
```
|
| 822 |
|
| 823 |
## Latest results
|
| 824 |
|
| 825 |
-
These are the [latest results from run 2023-10-
|
| 826 |
|
| 827 |
```python
|
| 828 |
{
|
| 829 |
"all": {
|
| 830 |
-
"
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| 831 |
-
"
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"
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"
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-
"
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"
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-
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-
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-
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-
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"
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"
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-
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-
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-
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-
"
|
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-
"
|
| 850 |
-
},
|
| 851 |
-
"harness|hendrycksTest-abstract_algebra|5": {
|
| 852 |
-
"acc": 0.16,
|
| 853 |
-
"acc_stderr": 0.03684529491774709,
|
| 854 |
-
"acc_norm": 0.16,
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| 855 |
-
"acc_norm_stderr": 0.03684529491774709
|
| 856 |
-
},
|
| 857 |
-
"harness|hendrycksTest-anatomy|5": {
|
| 858 |
-
"acc": 0.17777777777777778,
|
| 859 |
-
"acc_stderr": 0.033027898599017176,
|
| 860 |
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"acc_norm": 0.17777777777777778,
|
| 861 |
-
"acc_norm_stderr": 0.033027898599017176
|
| 862 |
-
},
|
| 863 |
-
"harness|hendrycksTest-astronomy|5": {
|
| 864 |
-
"acc": 0.21710526315789475,
|
| 865 |
-
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"acc_norm": 0.21710526315789475,
|
| 867 |
-
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|
| 868 |
-
},
|
| 869 |
-
"harness|hendrycksTest-business_ethics|5": {
|
| 870 |
-
"acc": 0.33,
|
| 871 |
-
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|
| 872 |
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"acc_norm": 0.33,
|
| 873 |
-
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|
| 874 |
-
},
|
| 875 |
-
"harness|hendrycksTest-clinical_knowledge|5": {
|
| 876 |
-
"acc": 0.2339622641509434,
|
| 877 |
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| 878 |
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"acc_norm": 0.2339622641509434,
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| 879 |
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|
| 880 |
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},
|
| 881 |
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"harness|hendrycksTest-college_biology|5": {
|
| 882 |
-
"acc": 0.25,
|
| 883 |
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|
| 884 |
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"acc_norm": 0.25,
|
| 885 |
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"acc_norm_stderr": 0.03621034121889507
|
| 886 |
-
},
|
| 887 |
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"harness|hendrycksTest-college_chemistry|5": {
|
| 888 |
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"acc": 0.22,
|
| 889 |
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"acc_stderr": 0.041633319989322695,
|
| 890 |
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"acc_norm": 0.22,
|
| 891 |
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"acc_norm_stderr": 0.041633319989322695
|
| 892 |
-
},
|
| 893 |
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"harness|hendrycksTest-college_computer_science|5": {
|
| 894 |
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"acc": 0.31,
|
| 895 |
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"acc_stderr": 0.04648231987117316,
|
| 896 |
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"acc_norm": 0.31,
|
| 897 |
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"acc_norm_stderr": 0.04648231987117316
|
| 898 |
-
},
|
| 899 |
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"harness|hendrycksTest-college_mathematics|5": {
|
| 900 |
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"acc": 0.29,
|
| 901 |
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|
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"acc_norm": 0.29,
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| 903 |
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|
| 904 |
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},
|
| 905 |
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"harness|hendrycksTest-college_medicine|5": {
|
| 906 |
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"acc": 0.2023121387283237,
|
| 907 |
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| 909 |
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|
| 910 |
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|
| 911 |
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"harness|hendrycksTest-college_physics|5": {
|
| 912 |
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| 913 |
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| 916 |
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| 917 |
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"harness|hendrycksTest-computer_security|5": {
|
| 918 |
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"acc": 0.34,
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| 919 |
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|
| 920 |
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"acc_norm": 0.34,
|
| 921 |
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|
| 922 |
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},
|
| 923 |
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"harness|hendrycksTest-conceptual_physics|5": {
|
| 924 |
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| 925 |
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| 927 |
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| 928 |
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|
| 930 |
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| 931 |
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| 934 |
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| 935 |
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| 936 |
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| 940 |
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|
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| 946 |
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},
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| 948 |
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| 949 |
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| 952 |
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},
|
| 953 |
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"harness|hendrycksTest-global_facts|5": {
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| 954 |
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|
| 955 |
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| 958 |
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| 960 |
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| 964 |
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| 967 |
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| 970 |
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| 971 |
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| 976 |
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| 977 |
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"harness|hendrycksTest-high_school_european_history|5": {
|
| 978 |
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| 979 |
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| 981 |
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| 982 |
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},
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| 983 |
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"harness|hendrycksTest-high_school_geography|5": {
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| 984 |
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| 985 |
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| 987 |
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|
| 988 |
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},
|
| 989 |
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"harness|hendrycksTest-high_school_government_and_politics|5": {
|
| 990 |
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| 991 |
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| 994 |
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| 995 |
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|
| 996 |
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| 997 |
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| 999 |
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|
| 1000 |
-
},
|
| 1001 |
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|
| 1002 |
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"acc": 0.2111111111111111,
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| 1003 |
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| 1005 |
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|
| 1006 |
-
},
|
| 1007 |
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|
| 1008 |
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| 1009 |
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| 1011 |
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| 1012 |
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| 1013 |
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|
| 1014 |
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| 1015 |
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| 1017 |
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| 1018 |
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| 1019 |
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|
| 1020 |
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|
| 1021 |
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| 1023 |
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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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| 1035 |
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|
| 1036 |
-
},
|
| 1037 |
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"harness|hendrycksTest-high_school_world_history|5": {
|
| 1038 |
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|
| 1039 |
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| 1041 |
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| 1042 |
-
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|
| 1043 |
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|
| 1044 |
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| 1045 |
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| 1048 |
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| 1049 |
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|
| 1050 |
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|
| 1051 |
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| 1052 |
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| 1053 |
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|
| 1054 |
-
},
|
| 1055 |
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|
| 1056 |
-
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|
| 1057 |
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| 1059 |
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|
| 1060 |
-
},
|
| 1061 |
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"harness|hendrycksTest-jurisprudence|5": {
|
| 1062 |
-
"acc": 0.24074074074074073,
|
| 1063 |
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| 1064 |
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| 1065 |
-
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|
| 1066 |
-
},
|
| 1067 |
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|
| 1068 |
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|
| 1069 |
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| 1071 |
-
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|
| 1072 |
-
},
|
| 1073 |
-
"harness|hendrycksTest-machine_learning|5": {
|
| 1074 |
-
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|
| 1075 |
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|
| 1076 |
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| 1077 |
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|
| 1078 |
-
},
|
| 1079 |
-
"harness|hendrycksTest-management|5": {
|
| 1080 |
-
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|
| 1081 |
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| 1082 |
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| 1083 |
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|
| 1084 |
-
},
|
| 1085 |
-
"harness|hendrycksTest-marketing|5": {
|
| 1086 |
-
"acc": 0.3076923076923077,
|
| 1087 |
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| 1088 |
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| 1089 |
-
"acc_norm_stderr": 0.030236389942173116
|
| 1090 |
-
},
|
| 1091 |
-
"harness|hendrycksTest-medical_genetics|5": {
|
| 1092 |
-
"acc": 0.28,
|
| 1093 |
-
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|
| 1094 |
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|
| 1095 |
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|
| 1096 |
-
},
|
| 1097 |
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"harness|hendrycksTest-miscellaneous|5": {
|
| 1098 |
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"acc": 0.24265644955300128,
|
| 1099 |
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| 1100 |
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| 1101 |
-
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|
| 1102 |
-
},
|
| 1103 |
-
"harness|hendrycksTest-moral_disputes|5": {
|
| 1104 |
-
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|
| 1105 |
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| 1106 |
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| 1107 |
-
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|
| 1108 |
-
},
|
| 1109 |
-
"harness|hendrycksTest-moral_scenarios|5": {
|
| 1110 |
-
"acc": 0.23687150837988827,
|
| 1111 |
-
"acc_stderr": 0.014219570788103982,
|
| 1112 |
-
"acc_norm": 0.23687150837988827,
|
| 1113 |
-
"acc_norm_stderr": 0.014219570788103982
|
| 1114 |
-
},
|
| 1115 |
-
"harness|hendrycksTest-nutrition|5": {
|
| 1116 |
-
"acc": 0.21568627450980393,
|
| 1117 |
-
"acc_stderr": 0.02355083135199509,
|
| 1118 |
-
"acc_norm": 0.21568627450980393,
|
| 1119 |
-
"acc_norm_stderr": 0.02355083135199509
|
| 1120 |
-
},
|
| 1121 |
-
"harness|hendrycksTest-philosophy|5": {
|
| 1122 |
-
"acc": 0.27009646302250806,
|
| 1123 |
-
"acc_stderr": 0.02521804037341063,
|
| 1124 |
-
"acc_norm": 0.27009646302250806,
|
| 1125 |
-
"acc_norm_stderr": 0.02521804037341063
|
| 1126 |
-
},
|
| 1127 |
-
"harness|hendrycksTest-prehistory|5": {
|
| 1128 |
-
"acc": 0.24074074074074073,
|
| 1129 |
-
"acc_stderr": 0.023788583551658533,
|
| 1130 |
-
"acc_norm": 0.24074074074074073,
|
| 1131 |
-
"acc_norm_stderr": 0.023788583551658533
|
| 1132 |
-
},
|
| 1133 |
-
"harness|hendrycksTest-professional_accounting|5": {
|
| 1134 |
-
"acc": 0.2730496453900709,
|
| 1135 |
-
"acc_stderr": 0.026577860943307857,
|
| 1136 |
-
"acc_norm": 0.2730496453900709,
|
| 1137 |
-
"acc_norm_stderr": 0.026577860943307857
|
| 1138 |
-
},
|
| 1139 |
-
"harness|hendrycksTest-professional_law|5": {
|
| 1140 |
-
"acc": 0.2392438070404172,
|
| 1141 |
-
"acc_stderr": 0.01089612365267665,
|
| 1142 |
-
"acc_norm": 0.2392438070404172,
|
| 1143 |
-
"acc_norm_stderr": 0.01089612365267665
|
| 1144 |
-
},
|
| 1145 |
-
"harness|hendrycksTest-professional_medicine|5": {
|
| 1146 |
-
"acc": 0.18382352941176472,
|
| 1147 |
-
"acc_stderr": 0.023529242185193106,
|
| 1148 |
-
"acc_norm": 0.18382352941176472,
|
| 1149 |
-
"acc_norm_stderr": 0.023529242185193106
|
| 1150 |
-
},
|
| 1151 |
-
"harness|hendrycksTest-professional_psychology|5": {
|
| 1152 |
-
"acc": 0.25163398692810457,
|
| 1153 |
-
"acc_stderr": 0.017555818091322263,
|
| 1154 |
-
"acc_norm": 0.25163398692810457,
|
| 1155 |
-
"acc_norm_stderr": 0.017555818091322263
|
| 1156 |
-
},
|
| 1157 |
-
"harness|hendrycksTest-public_relations|5": {
|
| 1158 |
-
"acc": 0.2636363636363636,
|
| 1159 |
-
"acc_stderr": 0.04220224692971987,
|
| 1160 |
-
"acc_norm": 0.2636363636363636,
|
| 1161 |
-
"acc_norm_stderr": 0.04220224692971987
|
| 1162 |
-
},
|
| 1163 |
-
"harness|hendrycksTest-security_studies|5": {
|
| 1164 |
-
"acc": 0.21224489795918366,
|
| 1165 |
-
"acc_stderr": 0.026176967197866767,
|
| 1166 |
-
"acc_norm": 0.21224489795918366,
|
| 1167 |
-
"acc_norm_stderr": 0.026176967197866767
|
| 1168 |
-
},
|
| 1169 |
-
"harness|hendrycksTest-sociology|5": {
|
| 1170 |
-
"acc": 0.24378109452736318,
|
| 1171 |
-
"acc_stderr": 0.030360490154014652,
|
| 1172 |
-
"acc_norm": 0.24378109452736318,
|
| 1173 |
-
"acc_norm_stderr": 0.030360490154014652
|
| 1174 |
-
},
|
| 1175 |
-
"harness|hendrycksTest-us_foreign_policy|5": {
|
| 1176 |
-
"acc": 0.3,
|
| 1177 |
-
"acc_stderr": 0.046056618647183814,
|
| 1178 |
-
"acc_norm": 0.3,
|
| 1179 |
-
"acc_norm_stderr": 0.046056618647183814
|
| 1180 |
-
},
|
| 1181 |
-
"harness|hendrycksTest-virology|5": {
|
| 1182 |
-
"acc": 0.3132530120481928,
|
| 1183 |
-
"acc_stderr": 0.03610805018031023,
|
| 1184 |
-
"acc_norm": 0.3132530120481928,
|
| 1185 |
-
"acc_norm_stderr": 0.03610805018031023
|
| 1186 |
-
},
|
| 1187 |
-
"harness|hendrycksTest-world_religions|5": {
|
| 1188 |
-
"acc": 0.3216374269005848,
|
| 1189 |
-
"acc_stderr": 0.03582529442573122,
|
| 1190 |
-
"acc_norm": 0.3216374269005848,
|
| 1191 |
-
"acc_norm_stderr": 0.03582529442573122
|
| 1192 |
-
},
|
| 1193 |
-
"harness|truthfulqa:mc|0": {
|
| 1194 |
-
"mc1": 0.26193390452876375,
|
| 1195 |
-
"mc1_stderr": 0.015392118805015027,
|
| 1196 |
-
"mc2": 0.40035714074695034,
|
| 1197 |
-
"mc2_stderr": 0.014298393496028232
|
| 1198 |
}
|
| 1199 |
}
|
| 1200 |
```
|
|
|
|
| 3 |
dataset_summary: "Dataset automatically created during the evaluation run of model\
|
| 4 |
\ [harborwater/wizard-orca-3b](https://huggingface.co/harborwater/wizard-orca-3b)\
|
| 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_harborwater__wizard-orca-3b\"\
|
| 15 |
+
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
|
| 16 |
+
These are the [latest results from run 2023-10-24T08:46:00.865464](https://huggingface.co/datasets/open-llm-leaderboard/details_harborwater__wizard-orca-3b/blob/main/results_2023-10-24T08-46-00.865464.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\": 0.0019924496644295304,\n\
|
| 20 |
+
\ \"em_stderr\": 0.00045666764626669333,\n \"f1\": 0.05503670302013434,\n\
|
| 21 |
+
\ \"f1_stderr\": 0.0013533156474354355,\n \"acc\": 0.33995582743378455,\n\
|
| 22 |
+
\ \"acc_stderr\": 0.008022574604695198\n },\n \"harness|drop|3\": {\n\
|
| 23 |
+
\ \"em\": 0.0019924496644295304,\n \"em_stderr\": 0.00045666764626669333,\n\
|
| 24 |
+
\ \"f1\": 0.05503670302013434,\n \"f1_stderr\": 0.0013533156474354355\n\
|
| 25 |
+
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.01061410159211524,\n \
|
| 26 |
+
\ \"acc_stderr\": 0.002822713322387704\n },\n \"harness|winogrande|5\"\
|
| 27 |
+
: {\n \"acc\": 0.6692975532754538,\n \"acc_stderr\": 0.013222435887002691\n\
|
| 28 |
+
\ }\n}\n```"
|
|
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|
| 29 |
repo_url: https://huggingface.co/harborwater/wizard-orca-3b
|
| 30 |
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
|
| 31 |
point_of_contact: [email protected]
|
|
|
|
| 38 |
- split: latest
|
| 39 |
path:
|
| 40 |
- '**/details_harness|arc:challenge|25_2023-10-08T19-21-18.723038.parquet'
|
| 41 |
+
- config_name: harness_drop_3
|
| 42 |
+
data_files:
|
| 43 |
+
- split: 2023_10_24T08_46_00.865464
|
| 44 |
+
path:
|
| 45 |
+
- '**/details_harness|drop|3_2023-10-24T08-46-00.865464.parquet'
|
| 46 |
+
- split: latest
|
| 47 |
+
path:
|
| 48 |
+
- '**/details_harness|drop|3_2023-10-24T08-46-00.865464.parquet'
|
| 49 |
+
- config_name: harness_gsm8k_5
|
| 50 |
+
data_files:
|
| 51 |
+
- split: 2023_10_24T08_46_00.865464
|
| 52 |
+
path:
|
| 53 |
+
- '**/details_harness|gsm8k|5_2023-10-24T08-46-00.865464.parquet'
|
| 54 |
+
- split: latest
|
| 55 |
+
path:
|
| 56 |
+
- '**/details_harness|gsm8k|5_2023-10-24T08-46-00.865464.parquet'
|
| 57 |
- config_name: harness_hellaswag_10
|
| 58 |
data_files:
|
| 59 |
- split: 2023_10_08T19_21_18.723038
|
|
|
|
| 646 |
- split: latest
|
| 647 |
path:
|
| 648 |
- '**/details_harness|truthfulqa:mc|0_2023-10-08T19-21-18.723038.parquet'
|
| 649 |
+
- config_name: harness_winogrande_5
|
| 650 |
+
data_files:
|
| 651 |
+
- split: 2023_10_24T08_46_00.865464
|
| 652 |
+
path:
|
| 653 |
+
- '**/details_harness|winogrande|5_2023-10-24T08-46-00.865464.parquet'
|
| 654 |
+
- split: latest
|
| 655 |
+
path:
|
| 656 |
+
- '**/details_harness|winogrande|5_2023-10-24T08-46-00.865464.parquet'
|
| 657 |
- config_name: results
|
| 658 |
data_files:
|
| 659 |
- split: 2023_10_08T19_21_18.723038
|
| 660 |
path:
|
| 661 |
- results_2023-10-08T19-21-18.723038.parquet
|
| 662 |
+
- split: 2023_10_24T08_46_00.865464
|
| 663 |
+
path:
|
| 664 |
+
- results_2023-10-24T08-46-00.865464.parquet
|
| 665 |
- split: latest
|
| 666 |
path:
|
| 667 |
+
- results_2023-10-24T08-46-00.865464.parquet
|
| 668 |
---
|
| 669 |
|
| 670 |
# Dataset Card for Evaluation run of harborwater/wizard-orca-3b
|
|
|
|
| 681 |
|
| 682 |
Dataset automatically created during the evaluation run of model [harborwater/wizard-orca-3b](https://huggingface.co/harborwater/wizard-orca-3b) 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_harborwater__wizard-orca-3b",
|
| 694 |
+
"harness_winogrande_5",
|
| 695 |
split="train")
|
| 696 |
```
|
| 697 |
|
| 698 |
## Latest results
|
| 699 |
|
| 700 |
+
These are the [latest results from run 2023-10-24T08:46:00.865464](https://huggingface.co/datasets/open-llm-leaderboard/details_harborwater__wizard-orca-3b/blob/main/results_2023-10-24T08-46-00.865464.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": 0.0019924496644295304,
|
| 706 |
+
"em_stderr": 0.00045666764626669333,
|
| 707 |
+
"f1": 0.05503670302013434,
|
| 708 |
+
"f1_stderr": 0.0013533156474354355,
|
| 709 |
+
"acc": 0.33995582743378455,
|
| 710 |
+
"acc_stderr": 0.008022574604695198
|
| 711 |
+
},
|
| 712 |
+
"harness|drop|3": {
|
| 713 |
+
"em": 0.0019924496644295304,
|
| 714 |
+
"em_stderr": 0.00045666764626669333,
|
| 715 |
+
"f1": 0.05503670302013434,
|
| 716 |
+
"f1_stderr": 0.0013533156474354355
|
| 717 |
+
},
|
| 718 |
+
"harness|gsm8k|5": {
|
| 719 |
+
"acc": 0.01061410159211524,
|
| 720 |
+
"acc_stderr": 0.002822713322387704
|
| 721 |
+
},
|
| 722 |
+
"harness|winogrande|5": {
|
| 723 |
+
"acc": 0.6692975532754538,
|
| 724 |
+
"acc_stderr": 0.013222435887002691
|
|
|
|
|
|
|
|
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| 725 |
}
|
| 726 |
}
|
| 727 |
```
|