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README.md
CHANGED
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@@ -3,8 +3,8 @@ pretty_name: Evaluation run of duliadotio/dulia-13b-8k-alpha
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dataset_summary: "Dataset automatically created during the evaluation run of model\
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\ [duliadotio/dulia-13b-8k-alpha](https://huggingface.co/duliadotio/dulia-13b-8k-alpha)\
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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_duliadotio__dulia-13b-8k-alpha\"\
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,\n\t\"
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\ \"
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\
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: {\n \"acc\": 0.35,\n \"acc_stderr\": 0.04793724854411021,\n \
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\ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.04793724854411021\n \
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\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.4888888888888889,\n\
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\ \"acc_stderr\": 0.04318275491977976,\n \"acc_norm\": 0.4888888888888889,\n\
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\ \"acc_norm_stderr\": 0.04318275491977976\n },\n \"harness|hendrycksTest-astronomy|5\"\
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: {\n \"acc\": 0.625,\n \"acc_stderr\": 0.039397364351956274,\n \
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\ \"acc_norm\": 0.625,\n \"acc_norm_stderr\": 0.039397364351956274\n\
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\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.58,\n\
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\ \"acc_stderr\": 0.049604496374885836,\n \"acc_norm\": 0.58,\n \
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\ \"acc_norm_stderr\": 0.049604496374885836\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
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: {\n \"acc\": 0.5962264150943396,\n \"acc_stderr\": 0.03019761160019795,\n\
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\ \"acc_norm\": 0.5962264150943396,\n \"acc_norm_stderr\": 0.03019761160019795\n\
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\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6180555555555556,\n\
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\ \"acc_stderr\": 0.04062990784146667,\n \"acc_norm\": 0.6180555555555556,\n\
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\ \"acc_norm_stderr\": 0.04062990784146667\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
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: {\n \"acc\": 0.45,\n \"acc_stderr\": 0.05,\n \"acc_norm\"\
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: 0.45,\n \"acc_norm_stderr\": 0.05\n },\n \"harness|hendrycksTest-college_computer_science|5\"\
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: {\n \"acc\": 0.42,\n \"acc_stderr\": 0.049604496374885836,\n \
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\ \"acc_norm\": 0.42,\n \"acc_norm_stderr\": 0.049604496374885836\n \
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\ },\n \"harness|hendrycksTest-college_mathematics|5\": {\n \"acc\"\
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: 0.28,\n \"acc_stderr\": 0.04512608598542127,\n \"acc_norm\": 0.28,\n\
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\ \"acc_norm_stderr\": 0.04512608598542127\n },\n \"harness|hendrycksTest-college_medicine|5\"\
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: {\n \"acc\": 0.4913294797687861,\n \"acc_stderr\": 0.038118909889404126,\n\
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\ \"acc_norm\": 0.4913294797687861,\n \"acc_norm_stderr\": 0.038118909889404126\n\
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\ },\n \"harness|hendrycksTest-college_physics|5\": {\n \"acc\": 0.3137254901960784,\n\
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\ \"acc_stderr\": 0.04617034827006718,\n \"acc_norm\": 0.3137254901960784,\n\
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\ \"acc_norm_stderr\": 0.04617034827006718\n },\n \"harness|hendrycksTest-computer_security|5\"\
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: {\n \"acc\": 0.71,\n \"acc_stderr\": 0.045604802157206845,\n \
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\ \"acc_norm\": 0.71,\n \"acc_norm_stderr\": 0.045604802157206845\n \
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\ },\n \"harness|hendrycksTest-conceptual_physics|5\": {\n \"acc\":\
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\ 0.4297872340425532,\n \"acc_stderr\": 0.03236214467715564,\n \"\
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acc_norm\": 0.4297872340425532,\n \"acc_norm_stderr\": 0.03236214467715564\n\
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\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.2631578947368421,\n\
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\ \"acc_stderr\": 0.041424397194893624,\n \"acc_norm\": 0.2631578947368421,\n\
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\ \"acc_norm_stderr\": 0.041424397194893624\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
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: {\n \"acc\": 0.5379310344827586,\n \"acc_stderr\": 0.04154659671707548,\n\
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\ \"acc_norm\": 0.5379310344827586,\n \"acc_norm_stderr\": 0.04154659671707548\n\
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\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
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: 0.335978835978836,\n \"acc_stderr\": 0.024326310529149138,\n \"\
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acc_norm\": 0.335978835978836,\n \"acc_norm_stderr\": 0.024326310529149138\n\
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\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.30952380952380953,\n\
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\ \"acc_stderr\": 0.04134913018303316,\n \"acc_norm\": 0.30952380952380953,\n\
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\ \"acc_norm_stderr\": 0.04134913018303316\n },\n \"harness|hendrycksTest-global_facts|5\"\
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: {\n \"acc\": 0.38,\n \"acc_stderr\": 0.04878317312145632,\n \
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\ \"acc_norm\": 0.38,\n \"acc_norm_stderr\": 0.04878317312145632\n \
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\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.6838709677419355,\n\
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\ \"acc_stderr\": 0.02645087448904277,\n \"acc_norm\": 0.6838709677419355,\n\
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\ \"acc_norm_stderr\": 0.02645087448904277\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
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: {\n \"acc\": 0.47783251231527096,\n \"acc_stderr\": 0.035145285621750094,\n\
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\ \"acc_norm\": 0.47783251231527096,\n \"acc_norm_stderr\": 0.035145285621750094\n\
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\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
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\ \"acc\": 0.62,\n \"acc_stderr\": 0.04878317312145632,\n \"acc_norm\"\
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: 0.62,\n \"acc_norm_stderr\": 0.04878317312145632\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
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: {\n \"acc\": 0.7151515151515152,\n \"acc_stderr\": 0.03524390844511781,\n\
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\ \"acc_norm\": 0.7151515151515152,\n \"acc_norm_stderr\": 0.03524390844511781\n\
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\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
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: 0.7272727272727273,\n \"acc_stderr\": 0.03173071239071724,\n \"\
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acc_norm\": 0.7272727272727273,\n \"acc_norm_stderr\": 0.03173071239071724\n\
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\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
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\ \"acc\": 0.7772020725388601,\n \"acc_stderr\": 0.03003114797764154,\n\
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\ \"acc_norm\": 0.7772020725388601,\n \"acc_norm_stderr\": 0.03003114797764154\n\
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\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
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\ \"acc\": 0.5615384615384615,\n \"acc_stderr\": 0.025158266016868578,\n\
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\ \"acc_norm\": 0.5615384615384615,\n \"acc_norm_stderr\": 0.025158266016868578\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\": 0.5756302521008403,\n \"acc_stderr\": 0.032104790510157764,\n\
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\ \"acc_norm\": 0.5756302521008403,\n \"acc_norm_stderr\": 0.032104790510157764\n\
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\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
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: 0.32450331125827814,\n \"acc_stderr\": 0.038227469376587525,\n \"\
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acc_norm\": 0.32450331125827814,\n \"acc_norm_stderr\": 0.038227469376587525\n\
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\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
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: 0.7504587155963303,\n \"acc_stderr\": 0.018553897629501624,\n \"\
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acc_norm\": 0.7504587155963303,\n \"acc_norm_stderr\": 0.018553897629501624\n\
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\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
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: 0.37962962962962965,\n \"acc_stderr\": 0.03309682581119035,\n \"\
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acc_norm\": 0.37962962962962965,\n \"acc_norm_stderr\": 0.03309682581119035\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\": 0.7763713080168776,\n \"acc_stderr\": 0.027123298205229966,\n \
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\ \"acc_norm\": 0.7763713080168776,\n \"acc_norm_stderr\": 0.027123298205229966\n\
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\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6457399103139013,\n\
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\ \"acc_stderr\": 0.032100621541349864,\n \"acc_norm\": 0.6457399103139013,\n\
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\ \"acc_norm_stderr\": 0.032100621541349864\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
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: {\n \"acc\": 0.6412213740458015,\n \"acc_stderr\": 0.04206739313864908,\n\
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\ \"acc_norm\": 0.6412213740458015,\n \"acc_norm_stderr\": 0.04206739313864908\n\
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\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
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\ 0.8016528925619835,\n \"acc_stderr\": 0.03640118271990947,\n \"\
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acc_norm\": 0.8016528925619835,\n \"acc_norm_stderr\": 0.03640118271990947\n\
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\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7222222222222222,\n\
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\ \"acc_stderr\": 0.04330043749650742,\n \"acc_norm\": 0.7222222222222222,\n\
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\ \"acc_norm_stderr\": 0.04330043749650742\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
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: {\n \"acc\": 0.6687116564417178,\n \"acc_stderr\": 0.03697983910025588,\n\
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\ \"acc_norm\": 0.6687116564417178,\n \"acc_norm_stderr\": 0.03697983910025588\n\
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\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.35714285714285715,\n\
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\ \"acc_stderr\": 0.04547960999764377,\n \"acc_norm\": 0.35714285714285715,\n\
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\ \"acc_norm_stderr\": 0.04547960999764377\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\": 0.8076923076923077,\n\
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\ \"acc_stderr\": 0.025819233256483734,\n \"acc_norm\": 0.8076923076923077,\n\
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\ \"acc_norm_stderr\": 0.025819233256483734\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
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: {\n \"acc\": 0.59,\n \"acc_stderr\": 0.04943110704237102,\n \
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\ \"acc_norm\": 0.59,\n \"acc_norm_stderr\": 0.04943110704237102\n \
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\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.7713920817369093,\n\
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\ \"acc_stderr\": 0.015016884698539878,\n \"acc_norm\": 0.7713920817369093,\n\
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\ \"acc_norm_stderr\": 0.015016884698539878\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
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: {\n \"acc\": 0.6647398843930635,\n \"acc_stderr\": 0.025416003773165555,\n\
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\ \"acc_norm\": 0.6647398843930635,\n \"acc_norm_stderr\": 0.025416003773165555\n\
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\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.376536312849162,\n\
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\ \"acc_stderr\": 0.016204672385106606,\n \"acc_norm\": 0.376536312849162,\n\
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\ \"acc_norm_stderr\": 0.016204672385106606\n },\n \"harness|hendrycksTest-nutrition|5\"\
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: {\n \"acc\": 0.6274509803921569,\n \"acc_stderr\": 0.027684181883302895,\n\
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\ \"acc_norm\": 0.6274509803921569,\n \"acc_norm_stderr\": 0.027684181883302895\n\
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\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6463022508038585,\n\
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\ \"acc_stderr\": 0.027155208103200865,\n \"acc_norm\": 0.6463022508038585,\n\
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\ \"acc_norm_stderr\": 0.027155208103200865\n },\n \"harness|hendrycksTest-prehistory|5\"\
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: {\n \"acc\": 0.6697530864197531,\n \"acc_stderr\": 0.026168298456732846,\n\
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\ \"acc_norm\": 0.6697530864197531,\n \"acc_norm_stderr\": 0.026168298456732846\n\
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\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
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acc\": 0.4397163120567376,\n \"acc_stderr\": 0.029609912075594106,\n \
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\ \"acc_norm\": 0.4397163120567376,\n \"acc_norm_stderr\": 0.029609912075594106\n\
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\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4172099087353325,\n\
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\ \"acc_stderr\": 0.012593959992906422,\n \"acc_norm\": 0.4172099087353325,\n\
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\ \"acc_norm_stderr\": 0.012593959992906422\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
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: {\n \"acc\": 0.5183823529411765,\n \"acc_stderr\": 0.03035230339535196,\n\
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\ \"acc_norm\": 0.5183823529411765,\n \"acc_norm_stderr\": 0.03035230339535196\n\
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\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
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acc\": 0.5800653594771242,\n \"acc_stderr\": 0.019966811178256483,\n \
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\ \"acc_norm\": 0.5800653594771242,\n \"acc_norm_stderr\": 0.019966811178256483\n\
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\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6181818181818182,\n\
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\ \"acc_stderr\": 0.046534298079135075,\n \"acc_norm\": 0.6181818181818182,\n\
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\ \"acc_norm_stderr\": 0.046534298079135075\n },\n \"harness|hendrycksTest-security_studies|5\"\
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: {\n \"acc\": 0.6938775510204082,\n \"acc_stderr\": 0.02950489645459596,\n\
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\ \"acc_norm\": 0.6938775510204082,\n \"acc_norm_stderr\": 0.02950489645459596\n\
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\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.7562189054726368,\n\
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\ \"acc_stderr\": 0.03036049015401466,\n \"acc_norm\": 0.7562189054726368,\n\
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\ \"acc_norm_stderr\": 0.03036049015401466\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
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: {\n \"acc\": 0.8,\n \"acc_stderr\": 0.040201512610368466,\n \
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\ \"acc_norm\": 0.8,\n \"acc_norm_stderr\": 0.040201512610368466\n \
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\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.4578313253012048,\n\
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\ \"acc_stderr\": 0.038786267710023595,\n \"acc_norm\": 0.4578313253012048,\n\
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\ \"acc_norm_stderr\": 0.038786267710023595\n },\n \"harness|hendrycksTest-world_religions|5\"\
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: {\n \"acc\": 0.7777777777777778,\n \"acc_stderr\": 0.03188578017686397,\n\
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\ \"acc_norm\": 0.7777777777777778,\n \"acc_norm_stderr\": 0.03188578017686397\n\
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\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.30966952264381886,\n\
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\ \"mc1_stderr\": 0.016185744355144912,\n \"mc2\": 0.42586995575139946,\n\
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\ \"mc2_stderr\": 0.014770062175701938\n }\n}\n```"
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repo_url: https://huggingface.co/duliadotio/dulia-13b-8k-alpha
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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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@@ -190,6 +38,22 @@ configs:
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- split: latest
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path:
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- '**/details_harness|arc:challenge|25_2023-08-09T21:33:18.083573.parquet'
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- config_name: harness_hellaswag_10
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data_files:
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- split: 2023_08_09T21_33_18.083573
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@@ -782,14 +646,25 @@ configs:
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- split: latest
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path:
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- '**/details_harness|truthfulqa:mc|0_2023-08-09T21:33:18.083573.parquet'
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- config_name: results
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data_files:
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- split: 2023_08_09T21_33_18.083573
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| 788 |
path:
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| 789 |
- results_2023-08-09T21:33:18.083573.parquet
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- split: latest
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path:
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-
- results_2023-08-
|
| 793 |
---
|
| 794 |
|
| 795 |
# Dataset Card for Evaluation run of duliadotio/dulia-13b-8k-alpha
|
|
@@ -806,9 +681,9 @@ configs:
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| 806 |
|
| 807 |
Dataset automatically created during the evaluation run of model [duliadotio/dulia-13b-8k-alpha](https://huggingface.co/duliadotio/dulia-13b-8k-alpha) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
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| 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)).
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| 814 |
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@@ -816,385 +691,37 @@ To load the details from a run, you can for instance do the following:
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|
| 816 |
```python
|
| 817 |
from datasets import load_dataset
|
| 818 |
data = load_dataset("open-llm-leaderboard/details_duliadotio__dulia-13b-8k-alpha",
|
| 819 |
-
"
|
| 820 |
split="train")
|
| 821 |
```
|
| 822 |
|
| 823 |
## Latest results
|
| 824 |
|
| 825 |
-
These are the [latest results from run 2023-
|
| 826 |
|
| 827 |
```python
|
| 828 |
{
|
| 829 |
"all": {
|
| 830 |
-
"
|
| 831 |
-
"
|
| 832 |
-
"
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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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-
"
|
| 849 |
-
"
|
| 850 |
-
},
|
| 851 |
-
"harness|hendrycksTest-abstract_algebra|5": {
|
| 852 |
-
"acc": 0.35,
|
| 853 |
-
"acc_stderr": 0.04793724854411021,
|
| 854 |
-
"acc_norm": 0.35,
|
| 855 |
-
"acc_norm_stderr": 0.04793724854411021
|
| 856 |
-
},
|
| 857 |
-
"harness|hendrycksTest-anatomy|5": {
|
| 858 |
-
"acc": 0.4888888888888889,
|
| 859 |
-
"acc_stderr": 0.04318275491977976,
|
| 860 |
-
"acc_norm": 0.4888888888888889,
|
| 861 |
-
"acc_norm_stderr": 0.04318275491977976
|
| 862 |
-
},
|
| 863 |
-
"harness|hendrycksTest-astronomy|5": {
|
| 864 |
-
"acc": 0.625,
|
| 865 |
-
"acc_stderr": 0.039397364351956274,
|
| 866 |
-
"acc_norm": 0.625,
|
| 867 |
-
"acc_norm_stderr": 0.039397364351956274
|
| 868 |
-
},
|
| 869 |
-
"harness|hendrycksTest-business_ethics|5": {
|
| 870 |
-
"acc": 0.58,
|
| 871 |
-
"acc_stderr": 0.049604496374885836,
|
| 872 |
-
"acc_norm": 0.58,
|
| 873 |
-
"acc_norm_stderr": 0.049604496374885836
|
| 874 |
-
},
|
| 875 |
-
"harness|hendrycksTest-clinical_knowledge|5": {
|
| 876 |
-
"acc": 0.5962264150943396,
|
| 877 |
-
"acc_stderr": 0.03019761160019795,
|
| 878 |
-
"acc_norm": 0.5962264150943396,
|
| 879 |
-
"acc_norm_stderr": 0.03019761160019795
|
| 880 |
-
},
|
| 881 |
-
"harness|hendrycksTest-college_biology|5": {
|
| 882 |
-
"acc": 0.6180555555555556,
|
| 883 |
-
"acc_stderr": 0.04062990784146667,
|
| 884 |
-
"acc_norm": 0.6180555555555556,
|
| 885 |
-
"acc_norm_stderr": 0.04062990784146667
|
| 886 |
-
},
|
| 887 |
-
"harness|hendrycksTest-college_chemistry|5": {
|
| 888 |
-
"acc": 0.45,
|
| 889 |
-
"acc_stderr": 0.05,
|
| 890 |
-
"acc_norm": 0.45,
|
| 891 |
-
"acc_norm_stderr": 0.05
|
| 892 |
-
},
|
| 893 |
-
"harness|hendrycksTest-college_computer_science|5": {
|
| 894 |
-
"acc": 0.42,
|
| 895 |
-
"acc_stderr": 0.049604496374885836,
|
| 896 |
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"acc_norm": 0.42,
|
| 897 |
-
"acc_norm_stderr": 0.049604496374885836
|
| 898 |
-
},
|
| 899 |
-
"harness|hendrycksTest-college_mathematics|5": {
|
| 900 |
-
"acc": 0.28,
|
| 901 |
-
"acc_stderr": 0.04512608598542127,
|
| 902 |
-
"acc_norm": 0.28,
|
| 903 |
-
"acc_norm_stderr": 0.04512608598542127
|
| 904 |
-
},
|
| 905 |
-
"harness|hendrycksTest-college_medicine|5": {
|
| 906 |
-
"acc": 0.4913294797687861,
|
| 907 |
-
"acc_stderr": 0.038118909889404126,
|
| 908 |
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"acc_norm": 0.4913294797687861,
|
| 909 |
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"acc_norm_stderr": 0.038118909889404126
|
| 910 |
-
},
|
| 911 |
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"harness|hendrycksTest-college_physics|5": {
|
| 912 |
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"acc": 0.3137254901960784,
|
| 913 |
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"acc_stderr": 0.04617034827006718,
|
| 914 |
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"acc_norm": 0.3137254901960784,
|
| 915 |
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"acc_norm_stderr": 0.04617034827006718
|
| 916 |
-
},
|
| 917 |
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"harness|hendrycksTest-computer_security|5": {
|
| 918 |
-
"acc": 0.71,
|
| 919 |
-
"acc_stderr": 0.045604802157206845,
|
| 920 |
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"acc_norm": 0.71,
|
| 921 |
-
"acc_norm_stderr": 0.045604802157206845
|
| 922 |
-
},
|
| 923 |
-
"harness|hendrycksTest-conceptual_physics|5": {
|
| 924 |
-
"acc": 0.4297872340425532,
|
| 925 |
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"acc_stderr": 0.03236214467715564,
|
| 926 |
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"acc_norm": 0.4297872340425532,
|
| 927 |
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"acc_norm_stderr": 0.03236214467715564
|
| 928 |
-
},
|
| 929 |
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"harness|hendrycksTest-econometrics|5": {
|
| 930 |
-
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|
| 931 |
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|
| 932 |
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"acc_norm": 0.2631578947368421,
|
| 933 |
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|
| 934 |
-
},
|
| 935 |
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"harness|hendrycksTest-electrical_engineering|5": {
|
| 936 |
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|
| 937 |
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| 939 |
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|
| 940 |
-
},
|
| 941 |
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"harness|hendrycksTest-elementary_mathematics|5": {
|
| 942 |
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|
| 943 |
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|
| 944 |
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"acc_norm": 0.335978835978836,
|
| 945 |
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|
| 946 |
-
},
|
| 947 |
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"harness|hendrycksTest-formal_logic|5": {
|
| 948 |
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|
| 949 |
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"acc_stderr": 0.04134913018303316,
|
| 950 |
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| 951 |
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|
| 952 |
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},
|
| 953 |
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"harness|hendrycksTest-global_facts|5": {
|
| 954 |
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"acc": 0.38,
|
| 955 |
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"acc_stderr": 0.04878317312145632,
|
| 956 |
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|
| 957 |
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|
| 958 |
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},
|
| 959 |
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"harness|hendrycksTest-high_school_biology|5": {
|
| 960 |
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|
| 961 |
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| 963 |
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| 964 |
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|
| 965 |
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"harness|hendrycksTest-high_school_chemistry|5": {
|
| 966 |
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|
| 967 |
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| 968 |
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"acc_norm": 0.47783251231527096,
|
| 969 |
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|
| 970 |
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},
|
| 971 |
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"harness|hendrycksTest-high_school_computer_science|5": {
|
| 972 |
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"acc": 0.62,
|
| 973 |
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"acc_stderr": 0.04878317312145632,
|
| 974 |
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"acc_norm": 0.62,
|
| 975 |
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|
| 976 |
-
},
|
| 977 |
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"harness|hendrycksTest-high_school_european_history|5": {
|
| 978 |
-
"acc": 0.7151515151515152,
|
| 979 |
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"acc_stderr": 0.03524390844511781,
|
| 980 |
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"acc_norm": 0.7151515151515152,
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| 981 |
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|
| 982 |
-
},
|
| 983 |
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"harness|hendrycksTest-high_school_geography|5": {
|
| 984 |
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"acc": 0.7272727272727273,
|
| 985 |
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| 986 |
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"acc_norm": 0.7272727272727273,
|
| 987 |
-
"acc_norm_stderr": 0.03173071239071724
|
| 988 |
-
},
|
| 989 |
-
"harness|hendrycksTest-high_school_government_and_politics|5": {
|
| 990 |
-
"acc": 0.7772020725388601,
|
| 991 |
-
"acc_stderr": 0.03003114797764154,
|
| 992 |
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|
| 993 |
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"acc_norm_stderr": 0.03003114797764154
|
| 994 |
-
},
|
| 995 |
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"harness|hendrycksTest-high_school_macroeconomics|5": {
|
| 996 |
-
"acc": 0.5615384615384615,
|
| 997 |
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"acc_stderr": 0.025158266016868578,
|
| 998 |
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"acc_norm": 0.5615384615384615,
|
| 999 |
-
"acc_norm_stderr": 0.025158266016868578
|
| 1000 |
-
},
|
| 1001 |
-
"harness|hendrycksTest-high_school_mathematics|5": {
|
| 1002 |
-
"acc": 0.31851851851851853,
|
| 1003 |
-
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| 1004 |
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"acc_norm": 0.31851851851851853,
|
| 1005 |
-
"acc_norm_stderr": 0.028406533090608463
|
| 1006 |
-
},
|
| 1007 |
-
"harness|hendrycksTest-high_school_microeconomics|5": {
|
| 1008 |
-
"acc": 0.5756302521008403,
|
| 1009 |
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| 1010 |
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|
| 1011 |
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|
| 1012 |
-
},
|
| 1013 |
-
"harness|hendrycksTest-high_school_physics|5": {
|
| 1014 |
-
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|
| 1015 |
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| 1016 |
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|
| 1017 |
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|
| 1018 |
-
},
|
| 1019 |
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"harness|hendrycksTest-high_school_psychology|5": {
|
| 1020 |
-
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|
| 1021 |
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|
| 1022 |
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|
| 1023 |
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|
| 1024 |
-
},
|
| 1025 |
-
"harness|hendrycksTest-high_school_statistics|5": {
|
| 1026 |
-
"acc": 0.37962962962962965,
|
| 1027 |
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|
| 1028 |
-
"acc_norm": 0.37962962962962965,
|
| 1029 |
-
"acc_norm_stderr": 0.03309682581119035
|
| 1030 |
-
},
|
| 1031 |
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"harness|hendrycksTest-high_school_us_history|5": {
|
| 1032 |
-
"acc": 0.7892156862745098,
|
| 1033 |
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|
| 1034 |
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"acc_norm": 0.7892156862745098,
|
| 1035 |
-
"acc_norm_stderr": 0.028626547912437406
|
| 1036 |
-
},
|
| 1037 |
-
"harness|hendrycksTest-high_school_world_history|5": {
|
| 1038 |
-
"acc": 0.7763713080168776,
|
| 1039 |
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| 1040 |
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"acc_norm": 0.7763713080168776,
|
| 1041 |
-
"acc_norm_stderr": 0.027123298205229966
|
| 1042 |
-
},
|
| 1043 |
-
"harness|hendrycksTest-human_aging|5": {
|
| 1044 |
-
"acc": 0.6457399103139013,
|
| 1045 |
-
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|
| 1046 |
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"acc_norm": 0.6457399103139013,
|
| 1047 |
-
"acc_norm_stderr": 0.032100621541349864
|
| 1048 |
-
},
|
| 1049 |
-
"harness|hendrycksTest-human_sexuality|5": {
|
| 1050 |
-
"acc": 0.6412213740458015,
|
| 1051 |
-
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|
| 1052 |
-
"acc_norm": 0.6412213740458015,
|
| 1053 |
-
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|
| 1054 |
-
},
|
| 1055 |
-
"harness|hendrycksTest-international_law|5": {
|
| 1056 |
-
"acc": 0.8016528925619835,
|
| 1057 |
-
"acc_stderr": 0.03640118271990947,
|
| 1058 |
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"acc_norm": 0.8016528925619835,
|
| 1059 |
-
"acc_norm_stderr": 0.03640118271990947
|
| 1060 |
-
},
|
| 1061 |
-
"harness|hendrycksTest-jurisprudence|5": {
|
| 1062 |
-
"acc": 0.7222222222222222,
|
| 1063 |
-
"acc_stderr": 0.04330043749650742,
|
| 1064 |
-
"acc_norm": 0.7222222222222222,
|
| 1065 |
-
"acc_norm_stderr": 0.04330043749650742
|
| 1066 |
-
},
|
| 1067 |
-
"harness|hendrycksTest-logical_fallacies|5": {
|
| 1068 |
-
"acc": 0.6687116564417178,
|
| 1069 |
-
"acc_stderr": 0.03697983910025588,
|
| 1070 |
-
"acc_norm": 0.6687116564417178,
|
| 1071 |
-
"acc_norm_stderr": 0.03697983910025588
|
| 1072 |
-
},
|
| 1073 |
-
"harness|hendrycksTest-machine_learning|5": {
|
| 1074 |
-
"acc": 0.35714285714285715,
|
| 1075 |
-
"acc_stderr": 0.04547960999764377,
|
| 1076 |
-
"acc_norm": 0.35714285714285715,
|
| 1077 |
-
"acc_norm_stderr": 0.04547960999764377
|
| 1078 |
-
},
|
| 1079 |
-
"harness|hendrycksTest-management|5": {
|
| 1080 |
-
"acc": 0.7087378640776699,
|
| 1081 |
-
"acc_stderr": 0.044986763205729224,
|
| 1082 |
-
"acc_norm": 0.7087378640776699,
|
| 1083 |
-
"acc_norm_stderr": 0.044986763205729224
|
| 1084 |
-
},
|
| 1085 |
-
"harness|hendrycksTest-marketing|5": {
|
| 1086 |
-
"acc": 0.8076923076923077,
|
| 1087 |
-
"acc_stderr": 0.025819233256483734,
|
| 1088 |
-
"acc_norm": 0.8076923076923077,
|
| 1089 |
-
"acc_norm_stderr": 0.025819233256483734
|
| 1090 |
-
},
|
| 1091 |
-
"harness|hendrycksTest-medical_genetics|5": {
|
| 1092 |
-
"acc": 0.59,
|
| 1093 |
-
"acc_stderr": 0.04943110704237102,
|
| 1094 |
-
"acc_norm": 0.59,
|
| 1095 |
-
"acc_norm_stderr": 0.04943110704237102
|
| 1096 |
-
},
|
| 1097 |
-
"harness|hendrycksTest-miscellaneous|5": {
|
| 1098 |
-
"acc": 0.7713920817369093,
|
| 1099 |
-
"acc_stderr": 0.015016884698539878,
|
| 1100 |
-
"acc_norm": 0.7713920817369093,
|
| 1101 |
-
"acc_norm_stderr": 0.015016884698539878
|
| 1102 |
-
},
|
| 1103 |
-
"harness|hendrycksTest-moral_disputes|5": {
|
| 1104 |
-
"acc": 0.6647398843930635,
|
| 1105 |
-
"acc_stderr": 0.025416003773165555,
|
| 1106 |
-
"acc_norm": 0.6647398843930635,
|
| 1107 |
-
"acc_norm_stderr": 0.025416003773165555
|
| 1108 |
-
},
|
| 1109 |
-
"harness|hendrycksTest-moral_scenarios|5": {
|
| 1110 |
-
"acc": 0.376536312849162,
|
| 1111 |
-
"acc_stderr": 0.016204672385106606,
|
| 1112 |
-
"acc_norm": 0.376536312849162,
|
| 1113 |
-
"acc_norm_stderr": 0.016204672385106606
|
| 1114 |
-
},
|
| 1115 |
-
"harness|hendrycksTest-nutrition|5": {
|
| 1116 |
-
"acc": 0.6274509803921569,
|
| 1117 |
-
"acc_stderr": 0.027684181883302895,
|
| 1118 |
-
"acc_norm": 0.6274509803921569,
|
| 1119 |
-
"acc_norm_stderr": 0.027684181883302895
|
| 1120 |
-
},
|
| 1121 |
-
"harness|hendrycksTest-philosophy|5": {
|
| 1122 |
-
"acc": 0.6463022508038585,
|
| 1123 |
-
"acc_stderr": 0.027155208103200865,
|
| 1124 |
-
"acc_norm": 0.6463022508038585,
|
| 1125 |
-
"acc_norm_stderr": 0.027155208103200865
|
| 1126 |
-
},
|
| 1127 |
-
"harness|hendrycksTest-prehistory|5": {
|
| 1128 |
-
"acc": 0.6697530864197531,
|
| 1129 |
-
"acc_stderr": 0.026168298456732846,
|
| 1130 |
-
"acc_norm": 0.6697530864197531,
|
| 1131 |
-
"acc_norm_stderr": 0.026168298456732846
|
| 1132 |
-
},
|
| 1133 |
-
"harness|hendrycksTest-professional_accounting|5": {
|
| 1134 |
-
"acc": 0.4397163120567376,
|
| 1135 |
-
"acc_stderr": 0.029609912075594106,
|
| 1136 |
-
"acc_norm": 0.4397163120567376,
|
| 1137 |
-
"acc_norm_stderr": 0.029609912075594106
|
| 1138 |
-
},
|
| 1139 |
-
"harness|hendrycksTest-professional_law|5": {
|
| 1140 |
-
"acc": 0.4172099087353325,
|
| 1141 |
-
"acc_stderr": 0.012593959992906422,
|
| 1142 |
-
"acc_norm": 0.4172099087353325,
|
| 1143 |
-
"acc_norm_stderr": 0.012593959992906422
|
| 1144 |
-
},
|
| 1145 |
-
"harness|hendrycksTest-professional_medicine|5": {
|
| 1146 |
-
"acc": 0.5183823529411765,
|
| 1147 |
-
"acc_stderr": 0.03035230339535196,
|
| 1148 |
-
"acc_norm": 0.5183823529411765,
|
| 1149 |
-
"acc_norm_stderr": 0.03035230339535196
|
| 1150 |
-
},
|
| 1151 |
-
"harness|hendrycksTest-professional_psychology|5": {
|
| 1152 |
-
"acc": 0.5800653594771242,
|
| 1153 |
-
"acc_stderr": 0.019966811178256483,
|
| 1154 |
-
"acc_norm": 0.5800653594771242,
|
| 1155 |
-
"acc_norm_stderr": 0.019966811178256483
|
| 1156 |
-
},
|
| 1157 |
-
"harness|hendrycksTest-public_relations|5": {
|
| 1158 |
-
"acc": 0.6181818181818182,
|
| 1159 |
-
"acc_stderr": 0.046534298079135075,
|
| 1160 |
-
"acc_norm": 0.6181818181818182,
|
| 1161 |
-
"acc_norm_stderr": 0.046534298079135075
|
| 1162 |
-
},
|
| 1163 |
-
"harness|hendrycksTest-security_studies|5": {
|
| 1164 |
-
"acc": 0.6938775510204082,
|
| 1165 |
-
"acc_stderr": 0.02950489645459596,
|
| 1166 |
-
"acc_norm": 0.6938775510204082,
|
| 1167 |
-
"acc_norm_stderr": 0.02950489645459596
|
| 1168 |
-
},
|
| 1169 |
-
"harness|hendrycksTest-sociology|5": {
|
| 1170 |
-
"acc": 0.7562189054726368,
|
| 1171 |
-
"acc_stderr": 0.03036049015401466,
|
| 1172 |
-
"acc_norm": 0.7562189054726368,
|
| 1173 |
-
"acc_norm_stderr": 0.03036049015401466
|
| 1174 |
-
},
|
| 1175 |
-
"harness|hendrycksTest-us_foreign_policy|5": {
|
| 1176 |
-
"acc": 0.8,
|
| 1177 |
-
"acc_stderr": 0.040201512610368466,
|
| 1178 |
-
"acc_norm": 0.8,
|
| 1179 |
-
"acc_norm_stderr": 0.040201512610368466
|
| 1180 |
-
},
|
| 1181 |
-
"harness|hendrycksTest-virology|5": {
|
| 1182 |
-
"acc": 0.4578313253012048,
|
| 1183 |
-
"acc_stderr": 0.038786267710023595,
|
| 1184 |
-
"acc_norm": 0.4578313253012048,
|
| 1185 |
-
"acc_norm_stderr": 0.038786267710023595
|
| 1186 |
-
},
|
| 1187 |
-
"harness|hendrycksTest-world_religions|5": {
|
| 1188 |
-
"acc": 0.7777777777777778,
|
| 1189 |
-
"acc_stderr": 0.03188578017686397,
|
| 1190 |
-
"acc_norm": 0.7777777777777778,
|
| 1191 |
-
"acc_norm_stderr": 0.03188578017686397
|
| 1192 |
-
},
|
| 1193 |
-
"harness|truthfulqa:mc|0": {
|
| 1194 |
-
"mc1": 0.30966952264381886,
|
| 1195 |
-
"mc1_stderr": 0.016185744355144912,
|
| 1196 |
-
"mc2": 0.42586995575139946,
|
| 1197 |
-
"mc2_stderr": 0.014770062175701938
|
| 1198 |
}
|
| 1199 |
}
|
| 1200 |
```
|
|
|
|
| 3 |
dataset_summary: "Dataset automatically created during the evaluation run of model\
|
| 4 |
\ [duliadotio/dulia-13b-8k-alpha](https://huggingface.co/duliadotio/dulia-13b-8k-alpha)\
|
| 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_duliadotio__dulia-13b-8k-alpha\"\
|
| 15 |
+
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
|
| 16 |
+
These are the [latest results from run 2023-09-18T01:08:45.800403](https://huggingface.co/datasets/open-llm-leaderboard/details_duliadotio__dulia-13b-8k-alpha/blob/main/results_2023-09-18T01-08-45.800403.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\": 0.07822986577181208,\n\
|
| 20 |
+
\ \"em_stderr\": 0.002750028914814403,\n \"f1\": 0.17715289429530226,\n\
|
| 21 |
+
\ \"f1_stderr\": 0.0031326349334958943,\n \"acc\": 0.439400648526514,\n\
|
| 22 |
+
\ \"acc_stderr\": 0.010151999191592032\n },\n \"harness|drop|3\": {\n\
|
| 23 |
+
\ \"em\": 0.07822986577181208,\n \"em_stderr\": 0.002750028914814403,\n\
|
| 24 |
+
\ \"f1\": 0.17715289429530226,\n \"f1_stderr\": 0.0031326349334958943\n\
|
| 25 |
+
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.1068991660348749,\n \
|
| 26 |
+
\ \"acc_stderr\": 0.008510982565520474\n },\n \"harness|winogrande|5\"\
|
| 27 |
+
: {\n \"acc\": 0.7719021310181531,\n \"acc_stderr\": 0.011793015817663592\n\
|
| 28 |
+
\ }\n}\n```"
|
|
|
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|
| 29 |
repo_url: https://huggingface.co/duliadotio/dulia-13b-8k-alpha
|
| 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_2023-08-09T21:33:18.083573.parquet'
|
| 41 |
+
- config_name: harness_drop_3
|
| 42 |
+
data_files:
|
| 43 |
+
- split: 2023_09_18T01_08_45.800403
|
| 44 |
+
path:
|
| 45 |
+
- '**/details_harness|drop|3_2023-09-18T01-08-45.800403.parquet'
|
| 46 |
+
- split: latest
|
| 47 |
+
path:
|
| 48 |
+
- '**/details_harness|drop|3_2023-09-18T01-08-45.800403.parquet'
|
| 49 |
+
- config_name: harness_gsm8k_5
|
| 50 |
+
data_files:
|
| 51 |
+
- split: 2023_09_18T01_08_45.800403
|
| 52 |
+
path:
|
| 53 |
+
- '**/details_harness|gsm8k|5_2023-09-18T01-08-45.800403.parquet'
|
| 54 |
+
- split: latest
|
| 55 |
+
path:
|
| 56 |
+
- '**/details_harness|gsm8k|5_2023-09-18T01-08-45.800403.parquet'
|
| 57 |
- config_name: harness_hellaswag_10
|
| 58 |
data_files:
|
| 59 |
- split: 2023_08_09T21_33_18.083573
|
|
|
|
| 646 |
- split: latest
|
| 647 |
path:
|
| 648 |
- '**/details_harness|truthfulqa:mc|0_2023-08-09T21:33:18.083573.parquet'
|
| 649 |
+
- config_name: harness_winogrande_5
|
| 650 |
+
data_files:
|
| 651 |
+
- split: 2023_09_18T01_08_45.800403
|
| 652 |
+
path:
|
| 653 |
+
- '**/details_harness|winogrande|5_2023-09-18T01-08-45.800403.parquet'
|
| 654 |
+
- split: latest
|
| 655 |
+
path:
|
| 656 |
+
- '**/details_harness|winogrande|5_2023-09-18T01-08-45.800403.parquet'
|
| 657 |
- config_name: results
|
| 658 |
data_files:
|
| 659 |
- split: 2023_08_09T21_33_18.083573
|
| 660 |
path:
|
| 661 |
- results_2023-08-09T21:33:18.083573.parquet
|
| 662 |
+
- split: 2023_09_18T01_08_45.800403
|
| 663 |
+
path:
|
| 664 |
+
- results_2023-09-18T01-08-45.800403.parquet
|
| 665 |
- split: latest
|
| 666 |
path:
|
| 667 |
+
- results_2023-09-18T01-08-45.800403.parquet
|
| 668 |
---
|
| 669 |
|
| 670 |
# Dataset Card for Evaluation run of duliadotio/dulia-13b-8k-alpha
|
|
|
|
| 681 |
|
| 682 |
Dataset automatically created during the evaluation run of model [duliadotio/dulia-13b-8k-alpha](https://huggingface.co/duliadotio/dulia-13b-8k-alpha) 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_duliadotio__dulia-13b-8k-alpha",
|
| 694 |
+
"harness_winogrande_5",
|
| 695 |
split="train")
|
| 696 |
```
|
| 697 |
|
| 698 |
## Latest results
|
| 699 |
|
| 700 |
+
These are the [latest results from run 2023-09-18T01:08:45.800403](https://huggingface.co/datasets/open-llm-leaderboard/details_duliadotio__dulia-13b-8k-alpha/blob/main/results_2023-09-18T01-08-45.800403.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": 0.07822986577181208,
|
| 706 |
+
"em_stderr": 0.002750028914814403,
|
| 707 |
+
"f1": 0.17715289429530226,
|
| 708 |
+
"f1_stderr": 0.0031326349334958943,
|
| 709 |
+
"acc": 0.439400648526514,
|
| 710 |
+
"acc_stderr": 0.010151999191592032
|
| 711 |
+
},
|
| 712 |
+
"harness|drop|3": {
|
| 713 |
+
"em": 0.07822986577181208,
|
| 714 |
+
"em_stderr": 0.002750028914814403,
|
| 715 |
+
"f1": 0.17715289429530226,
|
| 716 |
+
"f1_stderr": 0.0031326349334958943
|
| 717 |
+
},
|
| 718 |
+
"harness|gsm8k|5": {
|
| 719 |
+
"acc": 0.1068991660348749,
|
| 720 |
+
"acc_stderr": 0.008510982565520474
|
| 721 |
+
},
|
| 722 |
+
"harness|winogrande|5": {
|
| 723 |
+
"acc": 0.7719021310181531,
|
| 724 |
+
"acc_stderr": 0.011793015817663592
|
|
|
|
|
|
|
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| 725 |
}
|
| 726 |
}
|
| 727 |
```
|