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Parent(s):
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README.md
CHANGED
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@@ -3,8 +3,8 @@ pretty_name: Evaluation run of TehVenom/Pygmalion-13b-Merged
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dataset_summary: "Dataset automatically created during the evaluation run of model\
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\ [TehVenom/Pygmalion-13b-Merged](https://huggingface.co/TehVenom/Pygmalion-13b-Merged)\
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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_TehVenom__Pygmalion-13b-Merged\"\
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,\n\t\"
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\
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\ },\n \"harness|
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\ \"
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\
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: {\n \"acc\": 0.37,\n \"acc_stderr\": 0.048523658709391,\n \
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\ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.048523658709391\n },\n\
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\ \"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\": 0.40789473684210525,\n \"acc_stderr\": 0.03999309712777472,\n\
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\ \"acc_norm\": 0.40789473684210525,\n \"acc_norm_stderr\": 0.03999309712777472\n\
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\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.43,\n\
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\ \"acc_stderr\": 0.049756985195624284,\n \"acc_norm\": 0.43,\n \
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\ \"acc_norm_stderr\": 0.049756985195624284\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
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: {\n \"acc\": 0.42641509433962266,\n \"acc_stderr\": 0.030437794342983045,\n\
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\ \"acc_norm\": 0.42641509433962266,\n \"acc_norm_stderr\": 0.030437794342983045\n\
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\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.4097222222222222,\n\
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\ \"acc_stderr\": 0.04112490974670787,\n \"acc_norm\": 0.4097222222222222,\n\
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\ \"acc_norm_stderr\": 0.04112490974670787\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
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: {\n \"acc\": 0.24,\n \"acc_stderr\": 0.04292346959909283,\n \
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\ \"acc_norm\": 0.24,\n \"acc_norm_stderr\": 0.04292346959909283\n \
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\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
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: 0.36,\n \"acc_stderr\": 0.04824181513244218,\n \"acc_norm\": 0.36,\n\
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\ \"acc_norm_stderr\": 0.04824181513244218\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
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: {\n \"acc\": 0.32,\n \"acc_stderr\": 0.04688261722621504,\n \
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\ \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.04688261722621504\n \
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\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.35260115606936415,\n\
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\ \"acc_stderr\": 0.03643037168958548,\n \"acc_norm\": 0.35260115606936415,\n\
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\ \"acc_norm_stderr\": 0.03643037168958548\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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\ 0.54,\n \"acc_stderr\": 0.05009082659620332,\n \"acc_norm\": 0.54,\n\
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\ \"acc_norm_stderr\": 0.05009082659620332\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
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: {\n \"acc\": 0.3659574468085106,\n \"acc_stderr\": 0.03148955829745529,\n\
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\ \"acc_norm\": 0.3659574468085106,\n \"acc_norm_stderr\": 0.03148955829745529\n\
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\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.2982456140350877,\n\
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\ \"acc_stderr\": 0.04303684033537315,\n \"acc_norm\": 0.2982456140350877,\n\
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\ \"acc_norm_stderr\": 0.04303684033537315\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
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: {\n \"acc\": 0.4,\n \"acc_stderr\": 0.040824829046386284,\n \
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\ \"acc_norm\": 0.4,\n \"acc_norm_stderr\": 0.040824829046386284\n \
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\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
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: 0.25925925925925924,\n \"acc_stderr\": 0.02256989707491841,\n \"\
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acc_norm\": 0.25925925925925924,\n \"acc_norm_stderr\": 0.02256989707491841\n\
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\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.29365079365079366,\n\
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\ \"acc_stderr\": 0.040735243221471255,\n \"acc_norm\": 0.29365079365079366,\n\
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\ \"acc_norm_stderr\": 0.040735243221471255\n },\n \"harness|hendrycksTest-global_facts|5\"\
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: {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \
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\ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \
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\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.45161290322580644,\n\
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\ \"acc_stderr\": 0.02831050034856839,\n \"acc_norm\": 0.45161290322580644,\n\
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\ \"acc_norm_stderr\": 0.02831050034856839\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
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: {\n \"acc\": 0.28078817733990147,\n \"acc_stderr\": 0.03161856335358611,\n\
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\ \"acc_norm\": 0.28078817733990147,\n \"acc_norm_stderr\": 0.03161856335358611\n\
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\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
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\ \"acc\": 0.39,\n \"acc_stderr\": 0.04902071300001975,\n \"acc_norm\"\
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: 0.39,\n \"acc_norm_stderr\": 0.04902071300001975\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
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: {\n \"acc\": 0.5454545454545454,\n \"acc_stderr\": 0.03888176921674101,\n\
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\ \"acc_norm\": 0.5454545454545454,\n \"acc_norm_stderr\": 0.03888176921674101\n\
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\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
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: 0.4444444444444444,\n \"acc_stderr\": 0.03540294377095368,\n \"\
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acc_norm\": 0.4444444444444444,\n \"acc_norm_stderr\": 0.03540294377095368\n\
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\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
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\ \"acc\": 0.5803108808290155,\n \"acc_stderr\": 0.03561587327685884,\n\
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\ \"acc_norm\": 0.5803108808290155,\n \"acc_norm_stderr\": 0.03561587327685884\n\
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\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
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\ \"acc\": 0.39487179487179486,\n \"acc_stderr\": 0.02478431694215638,\n\
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\ \"acc_norm\": 0.39487179487179486,\n \"acc_norm_stderr\": 0.02478431694215638\n\
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\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
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acc\": 0.2037037037037037,\n \"acc_stderr\": 0.024556172219141255,\n \
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\ \"acc_norm\": 0.2037037037037037,\n \"acc_norm_stderr\": 0.024556172219141255\n\
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\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
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\ \"acc\": 0.40336134453781514,\n \"acc_stderr\": 0.031866081214088314,\n\
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\ \"acc_norm\": 0.40336134453781514,\n \"acc_norm_stderr\": 0.031866081214088314\n\
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\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
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: 0.2251655629139073,\n \"acc_stderr\": 0.034104352820089376,\n \"\
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acc_norm\": 0.2251655629139073,\n \"acc_norm_stderr\": 0.034104352820089376\n\
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\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
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: 0.5192660550458715,\n \"acc_stderr\": 0.02142140298254889,\n \"\
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acc_norm\": 0.5192660550458715,\n \"acc_norm_stderr\": 0.02142140298254889\n\
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\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
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: 0.2361111111111111,\n \"acc_stderr\": 0.028963702570791054,\n \"\
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acc_norm\": 0.2361111111111111,\n \"acc_norm_stderr\": 0.028963702570791054\n\
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\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
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: 0.5098039215686274,\n \"acc_stderr\": 0.03508637358630572,\n \"\
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acc_norm\": 0.5098039215686274,\n \"acc_norm_stderr\": 0.03508637358630572\n\
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\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
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acc\": 0.5611814345991561,\n \"acc_stderr\": 0.032302649315470375,\n \
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\ \"acc_norm\": 0.5611814345991561,\n \"acc_norm_stderr\": 0.032302649315470375\n\
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\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.5291479820627802,\n\
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\ \"acc_stderr\": 0.03350073248773403,\n \"acc_norm\": 0.5291479820627802,\n\
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\ \"acc_norm_stderr\": 0.03350073248773403\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
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: {\n \"acc\": 0.5114503816793893,\n \"acc_stderr\": 0.04384140024078016,\n\
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\ \"acc_norm\": 0.5114503816793893,\n \"acc_norm_stderr\": 0.04384140024078016\n\
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\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
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\ 0.5785123966942148,\n \"acc_stderr\": 0.04507732278775087,\n \"\
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acc_norm\": 0.5785123966942148,\n \"acc_norm_stderr\": 0.04507732278775087\n\
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\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.5370370370370371,\n\
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\ \"acc_stderr\": 0.04820403072760628,\n \"acc_norm\": 0.5370370370370371,\n\
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\ \"acc_norm_stderr\": 0.04820403072760628\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
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: {\n \"acc\": 0.4539877300613497,\n \"acc_stderr\": 0.0391170190467718,\n\
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\ \"acc_norm\": 0.4539877300613497,\n \"acc_norm_stderr\": 0.0391170190467718\n\
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\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.38392857142857145,\n\
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\ \"acc_stderr\": 0.04616143075028547,\n \"acc_norm\": 0.38392857142857145,\n\
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\ \"acc_norm_stderr\": 0.04616143075028547\n },\n \"harness|hendrycksTest-management|5\"\
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: {\n \"acc\": 0.5728155339805825,\n \"acc_stderr\": 0.04897957737781168,\n\
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\ \"acc_norm\": 0.5728155339805825,\n \"acc_norm_stderr\": 0.04897957737781168\n\
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\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.6623931623931624,\n\
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\ \"acc_stderr\": 0.03098029699261856,\n \"acc_norm\": 0.6623931623931624,\n\
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\ \"acc_norm_stderr\": 0.03098029699261856\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
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: {\n \"acc\": 0.39,\n \"acc_stderr\": 0.04902071300001975,\n \
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\ \"acc_norm\": 0.39,\n \"acc_norm_stderr\": 0.04902071300001975\n \
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\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.5810983397190294,\n\
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\ \"acc_stderr\": 0.017643205052377185,\n \"acc_norm\": 0.5810983397190294,\n\
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\ \"acc_norm_stderr\": 0.017643205052377185\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
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: {\n \"acc\": 0.476878612716763,\n \"acc_stderr\": 0.026890297881303125,\n\
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\ \"acc_norm\": 0.476878612716763,\n \"acc_norm_stderr\": 0.026890297881303125\n\
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\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.26145251396648045,\n\
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\ \"acc_stderr\": 0.014696599650364555,\n \"acc_norm\": 0.26145251396648045,\n\
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\ \"acc_norm_stderr\": 0.014696599650364555\n },\n \"harness|hendrycksTest-nutrition|5\"\
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: {\n \"acc\": 0.45751633986928103,\n \"acc_stderr\": 0.028526383452142635,\n\
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\ \"acc_norm\": 0.45751633986928103,\n \"acc_norm_stderr\": 0.028526383452142635\n\
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\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.5401929260450161,\n\
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\ \"acc_stderr\": 0.028306190403305696,\n \"acc_norm\": 0.5401929260450161,\n\
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\ \"acc_norm_stderr\": 0.028306190403305696\n },\n \"harness|hendrycksTest-prehistory|5\"\
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: {\n \"acc\": 0.4660493827160494,\n \"acc_stderr\": 0.027756535257347666,\n\
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\ \"acc_norm\": 0.4660493827160494,\n \"acc_norm_stderr\": 0.027756535257347666\n\
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\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
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acc\": 0.3262411347517731,\n \"acc_stderr\": 0.027968453043563168,\n \
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\ \"acc_norm\": 0.3262411347517731,\n \"acc_norm_stderr\": 0.027968453043563168\n\
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\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.3728813559322034,\n\
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\ \"acc_stderr\": 0.012350630058333359,\n \"acc_norm\": 0.3728813559322034,\n\
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\ \"acc_norm_stderr\": 0.012350630058333359\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
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: {\n \"acc\": 0.43014705882352944,\n \"acc_stderr\": 0.030074971917302875,\n\
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\ \"acc_norm\": 0.43014705882352944,\n \"acc_norm_stderr\": 0.030074971917302875\n\
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\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
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acc\": 0.4395424836601307,\n \"acc_stderr\": 0.020079420408087918,\n \
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\ \"acc_norm\": 0.4395424836601307,\n \"acc_norm_stderr\": 0.020079420408087918\n\
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\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.5,\n\
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\ \"acc_stderr\": 0.04789131426105757,\n \"acc_norm\": 0.5,\n \
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\ \"acc_norm_stderr\": 0.04789131426105757\n },\n \"harness|hendrycksTest-security_studies|5\"\
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: {\n \"acc\": 0.5346938775510204,\n \"acc_stderr\": 0.03193207024425314,\n\
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\ \"acc_norm\": 0.5346938775510204,\n \"acc_norm_stderr\": 0.03193207024425314\n\
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\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.5472636815920398,\n\
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\ \"acc_stderr\": 0.035197027175769155,\n \"acc_norm\": 0.5472636815920398,\n\
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| 170 |
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\ \"acc_norm_stderr\": 0.035197027175769155\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
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: {\n \"acc\": 0.67,\n \"acc_stderr\": 0.047258156262526094,\n \
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\ \"acc_norm\": 0.67,\n \"acc_norm_stderr\": 0.047258156262526094\n \
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\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.42771084337349397,\n\
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\ \"acc_stderr\": 0.038515976837185335,\n \"acc_norm\": 0.42771084337349397,\n\
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\ \"acc_norm_stderr\": 0.038515976837185335\n },\n \"harness|hendrycksTest-world_religions|5\"\
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: {\n \"acc\": 0.5847953216374269,\n \"acc_stderr\": 0.03779275945503201,\n\
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\ \"acc_norm\": 0.5847953216374269,\n \"acc_norm_stderr\": 0.03779275945503201\n\
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\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.23623011015911874,\n\
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\ \"mc1_stderr\": 0.014869755015871114,\n \"mc2\": 0.35862938539385836,\n\
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\ \"mc2_stderr\": 0.013793284622198755\n }\n}\n```"
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repo_url: https://huggingface.co/TehVenom/Pygmalion-13b-Merged
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leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
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point_of_contact: clementine@hf.co
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- split: latest
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path:
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- '**/details_harness|arc:challenge|25_2023-07-19T18:39:54.874893.parquet'
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- config_name: harness_hellaswag_10
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data_files:
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- split: 2023_07_19T18_39_54.874893
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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_2023-07-19T18:39:54.874893.parquet'
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- config_name: results
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data_files:
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- split: 2023_07_19T18_39_54.874893
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| 788 |
path:
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| 789 |
- results_2023-07-19T18:39:54.874893.parquet
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- split: latest
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path:
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-
- results_2023-
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| 793 |
---
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| 794 |
|
| 795 |
# Dataset Card for Evaluation run of TehVenom/Pygmalion-13b-Merged
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@@ -806,9 +681,9 @@ configs:
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| 806 |
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| 807 |
Dataset automatically created during the evaluation run of model [TehVenom/Pygmalion-13b-Merged](https://huggingface.co/TehVenom/Pygmalion-13b-Merged) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
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-
The dataset is composed of
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-
The dataset has been created from
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An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
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@@ -816,385 +691,37 @@ To load the details from a run, you can for instance do the following:
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| 816 |
```python
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| 817 |
from datasets import load_dataset
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| 818 |
data = load_dataset("open-llm-leaderboard/details_TehVenom__Pygmalion-13b-Merged",
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-
"
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| 820 |
split="train")
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| 821 |
```
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| 822 |
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| 823 |
## Latest results
|
| 824 |
|
| 825 |
-
These are the [latest results from run 2023-
|
| 826 |
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| 827 |
```python
|
| 828 |
{
|
| 829 |
"all": {
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| 830 |
-
"
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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": 0.37,
|
| 853 |
-
"acc_stderr": 0.048523658709391,
|
| 854 |
-
"acc_norm": 0.37,
|
| 855 |
-
"acc_norm_stderr": 0.048523658709391
|
| 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": 0.40789473684210525,
|
| 865 |
-
"acc_stderr": 0.03999309712777472,
|
| 866 |
-
"acc_norm": 0.40789473684210525,
|
| 867 |
-
"acc_norm_stderr": 0.03999309712777472
|
| 868 |
-
},
|
| 869 |
-
"harness|hendrycksTest-business_ethics|5": {
|
| 870 |
-
"acc": 0.43,
|
| 871 |
-
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|
| 872 |
-
"acc_norm": 0.43,
|
| 873 |
-
"acc_norm_stderr": 0.049756985195624284
|
| 874 |
-
},
|
| 875 |
-
"harness|hendrycksTest-clinical_knowledge|5": {
|
| 876 |
-
"acc": 0.42641509433962266,
|
| 877 |
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| 878 |
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"acc_norm": 0.42641509433962266,
|
| 879 |
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|
| 880 |
-
},
|
| 881 |
-
"harness|hendrycksTest-college_biology|5": {
|
| 882 |
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|
| 883 |
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|
| 884 |
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"acc_norm": 0.4097222222222222,
|
| 885 |
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"acc_norm_stderr": 0.04112490974670787
|
| 886 |
-
},
|
| 887 |
-
"harness|hendrycksTest-college_chemistry|5": {
|
| 888 |
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"acc": 0.24,
|
| 889 |
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"acc_stderr": 0.04292346959909283,
|
| 890 |
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"acc_norm": 0.24,
|
| 891 |
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"acc_norm_stderr": 0.04292346959909283
|
| 892 |
-
},
|
| 893 |
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"harness|hendrycksTest-college_computer_science|5": {
|
| 894 |
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"acc": 0.36,
|
| 895 |
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"acc_stderr": 0.04824181513244218,
|
| 896 |
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"acc_norm": 0.36,
|
| 897 |
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"acc_norm_stderr": 0.04824181513244218
|
| 898 |
-
},
|
| 899 |
-
"harness|hendrycksTest-college_mathematics|5": {
|
| 900 |
-
"acc": 0.32,
|
| 901 |
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"acc_stderr": 0.04688261722621504,
|
| 902 |
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"acc_norm": 0.32,
|
| 903 |
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"acc_norm_stderr": 0.04688261722621504
|
| 904 |
-
},
|
| 905 |
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"harness|hendrycksTest-college_medicine|5": {
|
| 906 |
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"acc": 0.35260115606936415,
|
| 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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| 915 |
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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": 0.54,
|
| 919 |
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|
| 920 |
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"acc_norm": 0.54,
|
| 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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|
| 928 |
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|
| 929 |
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"harness|hendrycksTest-econometrics|5": {
|
| 930 |
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|
| 931 |
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| 933 |
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|
| 934 |
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|
| 935 |
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"harness|hendrycksTest-electrical_engineering|5": {
|
| 936 |
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|
| 937 |
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|
| 940 |
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},
|
| 941 |
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|
| 942 |
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|
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|
| 946 |
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|
| 947 |
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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": {
|
| 954 |
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|
| 955 |
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| 958 |
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| 959 |
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|
| 960 |
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| 964 |
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| 965 |
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| 970 |
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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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|
| 982 |
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},
|
| 983 |
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|
| 984 |
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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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},
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| 995 |
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"harness|hendrycksTest-high_school_macroeconomics|5": {
|
| 996 |
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| 997 |
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| 999 |
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|
| 1000 |
-
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|
| 1001 |
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|
| 1002 |
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| 1003 |
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| 1005 |
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|
| 1006 |
-
},
|
| 1007 |
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"harness|hendrycksTest-high_school_microeconomics|5": {
|
| 1008 |
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| 1009 |
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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 |
-
},
|
| 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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| 1042 |
-
},
|
| 1043 |
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"harness|hendrycksTest-human_aging|5": {
|
| 1044 |
-
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|
| 1045 |
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|
| 1048 |
-
},
|
| 1049 |
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|
| 1050 |
-
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|
| 1051 |
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|
| 1053 |
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|
| 1054 |
-
},
|
| 1055 |
-
"harness|hendrycksTest-international_law|5": {
|
| 1056 |
-
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|
| 1057 |
-
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| 1059 |
-
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|
| 1060 |
-
},
|
| 1061 |
-
"harness|hendrycksTest-jurisprudence|5": {
|
| 1062 |
-
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|
| 1063 |
-
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| 1064 |
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"acc_norm": 0.5370370370370371,
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| 1065 |
-
"acc_norm_stderr": 0.04820403072760628
|
| 1066 |
-
},
|
| 1067 |
-
"harness|hendrycksTest-logical_fallacies|5": {
|
| 1068 |
-
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|
| 1069 |
-
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|
| 1070 |
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"acc_norm": 0.4539877300613497,
|
| 1071 |
-
"acc_norm_stderr": 0.0391170190467718
|
| 1072 |
-
},
|
| 1073 |
-
"harness|hendrycksTest-machine_learning|5": {
|
| 1074 |
-
"acc": 0.38392857142857145,
|
| 1075 |
-
"acc_stderr": 0.04616143075028547,
|
| 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": 0.6623931623931624,
|
| 1087 |
-
"acc_stderr": 0.03098029699261856,
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| 1088 |
-
"acc_norm": 0.6623931623931624,
|
| 1089 |
-
"acc_norm_stderr": 0.03098029699261856
|
| 1090 |
-
},
|
| 1091 |
-
"harness|hendrycksTest-medical_genetics|5": {
|
| 1092 |
-
"acc": 0.39,
|
| 1093 |
-
"acc_stderr": 0.04902071300001975,
|
| 1094 |
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"acc_norm": 0.39,
|
| 1095 |
-
"acc_norm_stderr": 0.04902071300001975
|
| 1096 |
-
},
|
| 1097 |
-
"harness|hendrycksTest-miscellaneous|5": {
|
| 1098 |
-
"acc": 0.5810983397190294,
|
| 1099 |
-
"acc_stderr": 0.017643205052377185,
|
| 1100 |
-
"acc_norm": 0.5810983397190294,
|
| 1101 |
-
"acc_norm_stderr": 0.017643205052377185
|
| 1102 |
-
},
|
| 1103 |
-
"harness|hendrycksTest-moral_disputes|5": {
|
| 1104 |
-
"acc": 0.476878612716763,
|
| 1105 |
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| 1106 |
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| 1107 |
-
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|
| 1108 |
-
},
|
| 1109 |
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"harness|hendrycksTest-moral_scenarios|5": {
|
| 1110 |
-
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|
| 1111 |
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|
| 1112 |
-
"acc_norm": 0.26145251396648045,
|
| 1113 |
-
"acc_norm_stderr": 0.014696599650364555
|
| 1114 |
-
},
|
| 1115 |
-
"harness|hendrycksTest-nutrition|5": {
|
| 1116 |
-
"acc": 0.45751633986928103,
|
| 1117 |
-
"acc_stderr": 0.028526383452142635,
|
| 1118 |
-
"acc_norm": 0.45751633986928103,
|
| 1119 |
-
"acc_norm_stderr": 0.028526383452142635
|
| 1120 |
-
},
|
| 1121 |
-
"harness|hendrycksTest-philosophy|5": {
|
| 1122 |
-
"acc": 0.5401929260450161,
|
| 1123 |
-
"acc_stderr": 0.028306190403305696,
|
| 1124 |
-
"acc_norm": 0.5401929260450161,
|
| 1125 |
-
"acc_norm_stderr": 0.028306190403305696
|
| 1126 |
-
},
|
| 1127 |
-
"harness|hendrycksTest-prehistory|5": {
|
| 1128 |
-
"acc": 0.4660493827160494,
|
| 1129 |
-
"acc_stderr": 0.027756535257347666,
|
| 1130 |
-
"acc_norm": 0.4660493827160494,
|
| 1131 |
-
"acc_norm_stderr": 0.027756535257347666
|
| 1132 |
-
},
|
| 1133 |
-
"harness|hendrycksTest-professional_accounting|5": {
|
| 1134 |
-
"acc": 0.3262411347517731,
|
| 1135 |
-
"acc_stderr": 0.027968453043563168,
|
| 1136 |
-
"acc_norm": 0.3262411347517731,
|
| 1137 |
-
"acc_norm_stderr": 0.027968453043563168
|
| 1138 |
-
},
|
| 1139 |
-
"harness|hendrycksTest-professional_law|5": {
|
| 1140 |
-
"acc": 0.3728813559322034,
|
| 1141 |
-
"acc_stderr": 0.012350630058333359,
|
| 1142 |
-
"acc_norm": 0.3728813559322034,
|
| 1143 |
-
"acc_norm_stderr": 0.012350630058333359
|
| 1144 |
-
},
|
| 1145 |
-
"harness|hendrycksTest-professional_medicine|5": {
|
| 1146 |
-
"acc": 0.43014705882352944,
|
| 1147 |
-
"acc_stderr": 0.030074971917302875,
|
| 1148 |
-
"acc_norm": 0.43014705882352944,
|
| 1149 |
-
"acc_norm_stderr": 0.030074971917302875
|
| 1150 |
-
},
|
| 1151 |
-
"harness|hendrycksTest-professional_psychology|5": {
|
| 1152 |
-
"acc": 0.4395424836601307,
|
| 1153 |
-
"acc_stderr": 0.020079420408087918,
|
| 1154 |
-
"acc_norm": 0.4395424836601307,
|
| 1155 |
-
"acc_norm_stderr": 0.020079420408087918
|
| 1156 |
-
},
|
| 1157 |
-
"harness|hendrycksTest-public_relations|5": {
|
| 1158 |
-
"acc": 0.5,
|
| 1159 |
-
"acc_stderr": 0.04789131426105757,
|
| 1160 |
-
"acc_norm": 0.5,
|
| 1161 |
-
"acc_norm_stderr": 0.04789131426105757
|
| 1162 |
-
},
|
| 1163 |
-
"harness|hendrycksTest-security_studies|5": {
|
| 1164 |
-
"acc": 0.5346938775510204,
|
| 1165 |
-
"acc_stderr": 0.03193207024425314,
|
| 1166 |
-
"acc_norm": 0.5346938775510204,
|
| 1167 |
-
"acc_norm_stderr": 0.03193207024425314
|
| 1168 |
-
},
|
| 1169 |
-
"harness|hendrycksTest-sociology|5": {
|
| 1170 |
-
"acc": 0.5472636815920398,
|
| 1171 |
-
"acc_stderr": 0.035197027175769155,
|
| 1172 |
-
"acc_norm": 0.5472636815920398,
|
| 1173 |
-
"acc_norm_stderr": 0.035197027175769155
|
| 1174 |
-
},
|
| 1175 |
-
"harness|hendrycksTest-us_foreign_policy|5": {
|
| 1176 |
-
"acc": 0.67,
|
| 1177 |
-
"acc_stderr": 0.047258156262526094,
|
| 1178 |
-
"acc_norm": 0.67,
|
| 1179 |
-
"acc_norm_stderr": 0.047258156262526094
|
| 1180 |
-
},
|
| 1181 |
-
"harness|hendrycksTest-virology|5": {
|
| 1182 |
-
"acc": 0.42771084337349397,
|
| 1183 |
-
"acc_stderr": 0.038515976837185335,
|
| 1184 |
-
"acc_norm": 0.42771084337349397,
|
| 1185 |
-
"acc_norm_stderr": 0.038515976837185335
|
| 1186 |
-
},
|
| 1187 |
-
"harness|hendrycksTest-world_religions|5": {
|
| 1188 |
-
"acc": 0.5847953216374269,
|
| 1189 |
-
"acc_stderr": 0.03779275945503201,
|
| 1190 |
-
"acc_norm": 0.5847953216374269,
|
| 1191 |
-
"acc_norm_stderr": 0.03779275945503201
|
| 1192 |
-
},
|
| 1193 |
-
"harness|truthfulqa:mc|0": {
|
| 1194 |
-
"mc1": 0.23623011015911874,
|
| 1195 |
-
"mc1_stderr": 0.014869755015871114,
|
| 1196 |
-
"mc2": 0.35862938539385836,
|
| 1197 |
-
"mc2_stderr": 0.013793284622198755
|
| 1198 |
}
|
| 1199 |
}
|
| 1200 |
```
|
|
|
|
| 3 |
dataset_summary: "Dataset automatically created during the evaluation run of model\
|
| 4 |
\ [TehVenom/Pygmalion-13b-Merged](https://huggingface.co/TehVenom/Pygmalion-13b-Merged)\
|
| 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_TehVenom__Pygmalion-13b-Merged\"\
|
| 15 |
+
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
|
| 16 |
+
These are the [latest results from run 2023-10-22T01:54:40.164227](https://huggingface.co/datasets/open-llm-leaderboard/details_TehVenom__Pygmalion-13b-Merged/blob/main/results_2023-10-22T01-54-40.164227.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\": 0.1669463087248322,\n\
|
| 20 |
+
\ \"em_stderr\": 0.0038191310263365245,\n \"f1\": 0.2267313338926176,\n\
|
| 21 |
+
\ \"f1_stderr\": 0.0038570900818293546,\n \"acc\": 0.37804284774825825,\n\
|
| 22 |
+
\ \"acc_stderr\": 0.006420137883941132\n },\n \"harness|drop|3\": {\n\
|
| 23 |
+
\ \"em\": 0.1669463087248322,\n \"em_stderr\": 0.0038191310263365245,\n\
|
| 24 |
+
\ \"f1\": 0.2267313338926176,\n \"f1_stderr\": 0.0038570900818293546\n\
|
| 25 |
+
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.000758150113722517,\n \
|
| 26 |
+
\ \"acc_stderr\": 0.0007581501137225271\n },\n \"harness|winogrande|5\"\
|
| 27 |
+
: {\n \"acc\": 0.755327545382794,\n \"acc_stderr\": 0.012082125654159738\n\
|
| 28 |
+
\ }\n}\n```"
|
|
|
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|
|
| 29 |
repo_url: https://huggingface.co/TehVenom/Pygmalion-13b-Merged
|
| 30 |
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
|
| 31 |
point_of_contact: clementine@hf.co
|
|
|
|
| 38 |
- split: latest
|
| 39 |
path:
|
| 40 |
- '**/details_harness|arc:challenge|25_2023-07-19T18:39:54.874893.parquet'
|
| 41 |
+
- config_name: harness_drop_3
|
| 42 |
+
data_files:
|
| 43 |
+
- split: 2023_10_22T01_54_40.164227
|
| 44 |
+
path:
|
| 45 |
+
- '**/details_harness|drop|3_2023-10-22T01-54-40.164227.parquet'
|
| 46 |
+
- split: latest
|
| 47 |
+
path:
|
| 48 |
+
- '**/details_harness|drop|3_2023-10-22T01-54-40.164227.parquet'
|
| 49 |
+
- config_name: harness_gsm8k_5
|
| 50 |
+
data_files:
|
| 51 |
+
- split: 2023_10_22T01_54_40.164227
|
| 52 |
+
path:
|
| 53 |
+
- '**/details_harness|gsm8k|5_2023-10-22T01-54-40.164227.parquet'
|
| 54 |
+
- split: latest
|
| 55 |
+
path:
|
| 56 |
+
- '**/details_harness|gsm8k|5_2023-10-22T01-54-40.164227.parquet'
|
| 57 |
- config_name: harness_hellaswag_10
|
| 58 |
data_files:
|
| 59 |
- split: 2023_07_19T18_39_54.874893
|
|
|
|
| 646 |
- split: latest
|
| 647 |
path:
|
| 648 |
- '**/details_harness|truthfulqa:mc|0_2023-07-19T18:39:54.874893.parquet'
|
| 649 |
+
- config_name: harness_winogrande_5
|
| 650 |
+
data_files:
|
| 651 |
+
- split: 2023_10_22T01_54_40.164227
|
| 652 |
+
path:
|
| 653 |
+
- '**/details_harness|winogrande|5_2023-10-22T01-54-40.164227.parquet'
|
| 654 |
+
- split: latest
|
| 655 |
+
path:
|
| 656 |
+
- '**/details_harness|winogrande|5_2023-10-22T01-54-40.164227.parquet'
|
| 657 |
- config_name: results
|
| 658 |
data_files:
|
| 659 |
- split: 2023_07_19T18_39_54.874893
|
| 660 |
path:
|
| 661 |
- results_2023-07-19T18:39:54.874893.parquet
|
| 662 |
+
- split: 2023_10_22T01_54_40.164227
|
| 663 |
+
path:
|
| 664 |
+
- results_2023-10-22T01-54-40.164227.parquet
|
| 665 |
- split: latest
|
| 666 |
path:
|
| 667 |
+
- results_2023-10-22T01-54-40.164227.parquet
|
| 668 |
---
|
| 669 |
|
| 670 |
# Dataset Card for Evaluation run of TehVenom/Pygmalion-13b-Merged
|
|
|
|
| 681 |
|
| 682 |
Dataset automatically created during the evaluation run of model [TehVenom/Pygmalion-13b-Merged](https://huggingface.co/TehVenom/Pygmalion-13b-Merged) 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_TehVenom__Pygmalion-13b-Merged",
|
| 694 |
+
"harness_winogrande_5",
|
| 695 |
split="train")
|
| 696 |
```
|
| 697 |
|
| 698 |
## Latest results
|
| 699 |
|
| 700 |
+
These are the [latest results from run 2023-10-22T01:54:40.164227](https://huggingface.co/datasets/open-llm-leaderboard/details_TehVenom__Pygmalion-13b-Merged/blob/main/results_2023-10-22T01-54-40.164227.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": 0.1669463087248322,
|
| 706 |
+
"em_stderr": 0.0038191310263365245,
|
| 707 |
+
"f1": 0.2267313338926176,
|
| 708 |
+
"f1_stderr": 0.0038570900818293546,
|
| 709 |
+
"acc": 0.37804284774825825,
|
| 710 |
+
"acc_stderr": 0.006420137883941132
|
| 711 |
+
},
|
| 712 |
+
"harness|drop|3": {
|
| 713 |
+
"em": 0.1669463087248322,
|
| 714 |
+
"em_stderr": 0.0038191310263365245,
|
| 715 |
+
"f1": 0.2267313338926176,
|
| 716 |
+
"f1_stderr": 0.0038570900818293546
|
| 717 |
+
},
|
| 718 |
+
"harness|gsm8k|5": {
|
| 719 |
+
"acc": 0.000758150113722517,
|
| 720 |
+
"acc_stderr": 0.0007581501137225271
|
| 721 |
+
},
|
| 722 |
+
"harness|winogrande|5": {
|
| 723 |
+
"acc": 0.755327545382794,
|
| 724 |
+
"acc_stderr": 0.012082125654159738
|
|
|
|
|
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| 725 |
}
|
| 726 |
}
|
| 727 |
```
|