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Parent(s):
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Upload README.md with huggingface_hub
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README.md
CHANGED
@@ -3,8 +3,8 @@ pretty_name: Evaluation run of OpenBuddy/openbuddy-mistral-7b-v13-base
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dataset_summary: "Dataset automatically created during the evaluation run of model\
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\ [OpenBuddy/openbuddy-mistral-7b-v13-base](https://huggingface.co/OpenBuddy/openbuddy-mistral-7b-v13-base)\
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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_OpenBuddy__openbuddy-mistral-7b-v13-base\"\
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,\n\t\"
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-
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\ that their might be results for other tasks in the repos if successive evals didn't\
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\ cover the same tasks. You find each in the results and the \"latest\" split for\
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\ each eval):\n\n```python\n{\n \"all\": {\n \"
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\ \"
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\ \"
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\ \"
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\ \"
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\
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\ },\n \"harness|
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\ \"
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\
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: {\n \"acc\": 0.34,\n \"acc_stderr\": 0.047609522856952365,\n \
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\ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.047609522856952365\n \
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\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.562962962962963,\n\
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\ \"acc_stderr\": 0.04284958639753401,\n \"acc_norm\": 0.562962962962963,\n\
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\ \"acc_norm_stderr\": 0.04284958639753401\n },\n \"harness|hendrycksTest-astronomy|5\"\
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: {\n \"acc\": 0.6118421052631579,\n \"acc_stderr\": 0.03965842097512744,\n\
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\ \"acc_norm\": 0.6118421052631579,\n \"acc_norm_stderr\": 0.03965842097512744\n\
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\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.61,\n\
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\ \"acc_stderr\": 0.04902071300001975,\n \"acc_norm\": 0.61,\n \
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\ \"acc_norm_stderr\": 0.04902071300001975\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
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: {\n \"acc\": 0.6226415094339622,\n \"acc_stderr\": 0.029832808114796005,\n\
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\ \"acc_norm\": 0.6226415094339622,\n \"acc_norm_stderr\": 0.029832808114796005\n\
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\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6041666666666666,\n\
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\ \"acc_stderr\": 0.04089465449325582,\n \"acc_norm\": 0.6041666666666666,\n\
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\ \"acc_norm_stderr\": 0.04089465449325582\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
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: {\n \"acc\": 0.38,\n \"acc_stderr\": 0.04878317312145634,\n \
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\ \"acc_norm\": 0.38,\n \"acc_norm_stderr\": 0.04878317312145634\n \
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\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
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: 0.51,\n \"acc_stderr\": 0.05024183937956911,\n \"acc_norm\": 0.51,\n\
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\ \"acc_norm_stderr\": 0.05024183937956911\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
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: {\n \"acc\": 0.39,\n \"acc_stderr\": 0.04902071300001974,\n \
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\ \"acc_norm\": 0.39,\n \"acc_norm_stderr\": 0.04902071300001974\n \
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\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.5838150289017341,\n\
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\ \"acc_stderr\": 0.03758517775404948,\n \"acc_norm\": 0.5838150289017341,\n\
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\ \"acc_norm_stderr\": 0.03758517775404948\n },\n \"harness|hendrycksTest-college_physics|5\"\
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: {\n \"acc\": 0.38235294117647056,\n \"acc_stderr\": 0.04835503696107223,\n\
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\ \"acc_norm\": 0.38235294117647056,\n \"acc_norm_stderr\": 0.04835503696107223\n\
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\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
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\ 0.72,\n \"acc_stderr\": 0.04512608598542128,\n \"acc_norm\": 0.72,\n\
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\ \"acc_norm_stderr\": 0.04512608598542128\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
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: {\n \"acc\": 0.49361702127659574,\n \"acc_stderr\": 0.032683358999363366,\n\
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\ \"acc_norm\": 0.49361702127659574,\n \"acc_norm_stderr\": 0.032683358999363366\n\
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\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.40350877192982454,\n\
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\ \"acc_stderr\": 0.046151869625837026,\n \"acc_norm\": 0.40350877192982454,\n\
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\ \"acc_norm_stderr\": 0.046151869625837026\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
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: {\n \"acc\": 0.5103448275862069,\n \"acc_stderr\": 0.04165774775728763,\n\
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\ \"acc_norm\": 0.5103448275862069,\n \"acc_norm_stderr\": 0.04165774775728763\n\
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\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
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: 0.3412698412698413,\n \"acc_stderr\": 0.02441923496681906,\n \"\
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acc_norm\": 0.3412698412698413,\n \"acc_norm_stderr\": 0.02441923496681906\n\
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\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.3888888888888889,\n\
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\ \"acc_stderr\": 0.04360314860077459,\n \"acc_norm\": 0.3888888888888889,\n\
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\ \"acc_norm_stderr\": 0.04360314860077459\n },\n \"harness|hendrycksTest-global_facts|5\"\
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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-high_school_biology|5\": {\n \"acc\": 0.6806451612903226,\n\
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\ \"acc_stderr\": 0.026522709674667765,\n \"acc_norm\": 0.6806451612903226,\n\
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\ \"acc_norm_stderr\": 0.026522709674667765\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
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: {\n \"acc\": 0.45320197044334976,\n \"acc_stderr\": 0.03502544650845872,\n\
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\ \"acc_norm\": 0.45320197044334976,\n \"acc_norm_stderr\": 0.03502544650845872\n\
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\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
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\ \"acc\": 0.64,\n \"acc_stderr\": 0.04824181513244218,\n \"acc_norm\"\
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: 0.64,\n \"acc_norm_stderr\": 0.04824181513244218\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
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: {\n \"acc\": 0.7090909090909091,\n \"acc_stderr\": 0.03546563019624336,\n\
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\ \"acc_norm\": 0.7090909090909091,\n \"acc_norm_stderr\": 0.03546563019624336\n\
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\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
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: 0.7323232323232324,\n \"acc_stderr\": 0.03154449888270285,\n \"\
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acc_norm\": 0.7323232323232324,\n \"acc_norm_stderr\": 0.03154449888270285\n\
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\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
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\ \"acc\": 0.8134715025906736,\n \"acc_stderr\": 0.02811209121011746,\n\
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\ \"acc_norm\": 0.8134715025906736,\n \"acc_norm_stderr\": 0.02811209121011746\n\
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\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
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\ \"acc\": 0.5666666666666667,\n \"acc_stderr\": 0.025124653525885117,\n\
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\ \"acc_norm\": 0.5666666666666667,\n \"acc_norm_stderr\": 0.025124653525885117\n\
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\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
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acc\": 0.34444444444444444,\n \"acc_stderr\": 0.028972648884844267,\n \
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\ \"acc_norm\": 0.34444444444444444,\n \"acc_norm_stderr\": 0.028972648884844267\n\
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\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
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\ \"acc\": 0.5630252100840336,\n \"acc_stderr\": 0.032219436365661956,\n\
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\ \"acc_norm\": 0.5630252100840336,\n \"acc_norm_stderr\": 0.032219436365661956\n\
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\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
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: 0.33774834437086093,\n \"acc_stderr\": 0.038615575462551684,\n \"\
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acc_norm\": 0.33774834437086093,\n \"acc_norm_stderr\": 0.038615575462551684\n\
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\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
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: 0.7706422018348624,\n \"acc_stderr\": 0.018025349724618684,\n \"\
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acc_norm\": 0.7706422018348624,\n \"acc_norm_stderr\": 0.018025349724618684\n\
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\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
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: 0.4027777777777778,\n \"acc_stderr\": 0.03344887382997866,\n \"\
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acc_norm\": 0.4027777777777778,\n \"acc_norm_stderr\": 0.03344887382997866\n\
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\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
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: 0.6862745098039216,\n \"acc_stderr\": 0.032566854844603886,\n \"\
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acc_norm\": 0.6862745098039216,\n \"acc_norm_stderr\": 0.032566854844603886\n\
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\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
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acc\": 0.7510548523206751,\n \"acc_stderr\": 0.028146970599422644,\n \
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\ \"acc_norm\": 0.7510548523206751,\n \"acc_norm_stderr\": 0.028146970599422644\n\
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\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6053811659192825,\n\
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\ \"acc_stderr\": 0.03280400504755291,\n \"acc_norm\": 0.6053811659192825,\n\
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\ \"acc_norm_stderr\": 0.03280400504755291\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
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: {\n \"acc\": 0.6335877862595419,\n \"acc_stderr\": 0.04225875451969638,\n\
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\ \"acc_norm\": 0.6335877862595419,\n \"acc_norm_stderr\": 0.04225875451969638\n\
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\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
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\ 0.7603305785123967,\n \"acc_stderr\": 0.03896878985070416,\n \"\
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acc_norm\": 0.7603305785123967,\n \"acc_norm_stderr\": 0.03896878985070416\n\
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\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.6851851851851852,\n\
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\ \"acc_stderr\": 0.04489931073591312,\n \"acc_norm\": 0.6851851851851852,\n\
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\ \"acc_norm_stderr\": 0.04489931073591312\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
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: {\n \"acc\": 0.6196319018404908,\n \"acc_stderr\": 0.038142698932618374,\n\
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\ \"acc_norm\": 0.6196319018404908,\n \"acc_norm_stderr\": 0.038142698932618374\n\
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\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.4107142857142857,\n\
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\ \"acc_stderr\": 0.04669510663875191,\n \"acc_norm\": 0.4107142857142857,\n\
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\ \"acc_norm_stderr\": 0.04669510663875191\n },\n \"harness|hendrycksTest-management|5\"\
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: {\n \"acc\": 0.7766990291262136,\n \"acc_stderr\": 0.04123553189891431,\n\
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\ \"acc_norm\": 0.7766990291262136,\n \"acc_norm_stderr\": 0.04123553189891431\n\
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\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8504273504273504,\n\
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\ \"acc_stderr\": 0.02336505149175372,\n \"acc_norm\": 0.8504273504273504,\n\
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\ \"acc_norm_stderr\": 0.02336505149175372\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
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: {\n \"acc\": 0.56,\n \"acc_stderr\": 0.04988876515698589,\n \
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\ \"acc_norm\": 0.56,\n \"acc_norm_stderr\": 0.04988876515698589\n \
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\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.7420178799489144,\n\
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\ \"acc_stderr\": 0.01564583018834895,\n \"acc_norm\": 0.7420178799489144,\n\
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\ \"acc_norm_stderr\": 0.01564583018834895\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
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: {\n \"acc\": 0.661849710982659,\n \"acc_stderr\": 0.02546977014940017,\n\
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\ \"acc_norm\": 0.661849710982659,\n \"acc_norm_stderr\": 0.02546977014940017\n\
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\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.2324022346368715,\n\
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\ \"acc_stderr\": 0.014125968754673405,\n \"acc_norm\": 0.2324022346368715,\n\
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\ \"acc_norm_stderr\": 0.014125968754673405\n },\n \"harness|hendrycksTest-nutrition|5\"\
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: {\n \"acc\": 0.6633986928104575,\n \"acc_stderr\": 0.02705797462449438,\n\
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\ \"acc_norm\": 0.6633986928104575,\n \"acc_norm_stderr\": 0.02705797462449438\n\
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\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6559485530546624,\n\
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\ \"acc_stderr\": 0.02698147804364804,\n \"acc_norm\": 0.6559485530546624,\n\
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\ \"acc_norm_stderr\": 0.02698147804364804\n },\n \"harness|hendrycksTest-prehistory|5\"\
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: {\n \"acc\": 0.6234567901234568,\n \"acc_stderr\": 0.02695934451874779,\n\
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\ \"acc_norm\": 0.6234567901234568,\n \"acc_norm_stderr\": 0.02695934451874779\n\
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\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
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acc\": 0.4432624113475177,\n \"acc_stderr\": 0.029634838473766002,\n \
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\ \"acc_norm\": 0.4432624113475177,\n \"acc_norm_stderr\": 0.029634838473766002\n\
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\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4211212516297262,\n\
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\ \"acc_stderr\": 0.012610325733489905,\n \"acc_norm\": 0.4211212516297262,\n\
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\ \"acc_norm_stderr\": 0.012610325733489905\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
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: {\n \"acc\": 0.4963235294117647,\n \"acc_stderr\": 0.030372015885428195,\n\
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\ \"acc_norm\": 0.4963235294117647,\n \"acc_norm_stderr\": 0.030372015885428195\n\
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\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
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acc\": 0.565359477124183,\n \"acc_stderr\": 0.02005426920072646,\n \
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\ \"acc_norm\": 0.565359477124183,\n \"acc_norm_stderr\": 0.02005426920072646\n\
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\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6545454545454545,\n\
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\ \"acc_stderr\": 0.04554619617541054,\n \"acc_norm\": 0.6545454545454545,\n\
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\ \"acc_norm_stderr\": 0.04554619617541054\n },\n \"harness|hendrycksTest-security_studies|5\"\
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-
: {\n \"acc\": 0.6326530612244898,\n \"acc_stderr\": 0.030862144921087558,\n\
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\ \"acc_norm\": 0.6326530612244898,\n \"acc_norm_stderr\": 0.030862144921087558\n\
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\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.7711442786069652,\n\
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\ \"acc_stderr\": 0.029705284056772426,\n \"acc_norm\": 0.7711442786069652,\n\
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\ \"acc_norm_stderr\": 0.029705284056772426\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
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: {\n \"acc\": 0.81,\n \"acc_stderr\": 0.039427724440366255,\n \
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\ \"acc_norm\": 0.81,\n \"acc_norm_stderr\": 0.039427724440366255\n \
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\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.4879518072289157,\n\
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\ \"acc_stderr\": 0.0389136449583582,\n \"acc_norm\": 0.4879518072289157,\n\
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\ \"acc_norm_stderr\": 0.0389136449583582\n },\n \"harness|hendrycksTest-world_religions|5\"\
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: {\n \"acc\": 0.7777777777777778,\n \"acc_stderr\": 0.03188578017686398,\n\
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\ \"acc_norm\": 0.7777777777777778,\n \"acc_norm_stderr\": 0.03188578017686398\n\
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\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.3623011015911873,\n\
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\ \"mc1_stderr\": 0.016826646897262258,\n \"mc2\": 0.5282079355751091,\n\
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\ \"mc2_stderr\": 0.015652489117510483\n }\n}\n```"
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repo_url: https://huggingface.co/OpenBuddy/openbuddy-mistral-7b-v13-base
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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_2023-10-11T09-56-20.350161.parquet'
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- config_name: harness_hellaswag_10
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data_files:
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- split: 2023_10_11T09_56_20.350161
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- split: latest
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path:
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- '**/details_harness|truthfulqa:mc|0_2023-10-11T09-56-20.350161.parquet'
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|
|
|
|
|
|
785 |
- config_name: results
|
786 |
data_files:
|
787 |
- split: 2023_10_11T09_56_20.350161
|
788 |
path:
|
789 |
- results_2023-10-11T09-56-20.350161.parquet
|
|
|
|
|
|
|
790 |
- split: latest
|
791 |
path:
|
792 |
-
- results_2023-10-
|
793 |
---
|
794 |
|
795 |
# Dataset Card for Evaluation run of OpenBuddy/openbuddy-mistral-7b-v13-base
|
@@ -806,9 +681,9 @@ configs:
|
|
806 |
|
807 |
Dataset automatically created during the evaluation run of model [OpenBuddy/openbuddy-mistral-7b-v13-base](https://huggingface.co/OpenBuddy/openbuddy-mistral-7b-v13-base) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
|
808 |
|
809 |
-
The dataset is composed of
|
810 |
|
811 |
-
The dataset has been created from
|
812 |
|
813 |
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
|
814 |
|
@@ -816,385 +691,37 @@ To load the details from a run, you can for instance do the following:
|
|
816 |
```python
|
817 |
from datasets import load_dataset
|
818 |
data = load_dataset("open-llm-leaderboard/details_OpenBuddy__openbuddy-mistral-7b-v13-base",
|
819 |
-
"
|
820 |
split="train")
|
821 |
```
|
822 |
|
823 |
## Latest results
|
824 |
|
825 |
-
These are the [latest results from run 2023-10-
|
826 |
|
827 |
```python
|
828 |
{
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"all": {
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"
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"
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"
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"
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"
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"
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-
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"
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1135 |
-
"acc_stderr": 0.029634838473766002,
|
1136 |
-
"acc_norm": 0.4432624113475177,
|
1137 |
-
"acc_norm_stderr": 0.029634838473766002
|
1138 |
-
},
|
1139 |
-
"harness|hendrycksTest-professional_law|5": {
|
1140 |
-
"acc": 0.4211212516297262,
|
1141 |
-
"acc_stderr": 0.012610325733489905,
|
1142 |
-
"acc_norm": 0.4211212516297262,
|
1143 |
-
"acc_norm_stderr": 0.012610325733489905
|
1144 |
-
},
|
1145 |
-
"harness|hendrycksTest-professional_medicine|5": {
|
1146 |
-
"acc": 0.4963235294117647,
|
1147 |
-
"acc_stderr": 0.030372015885428195,
|
1148 |
-
"acc_norm": 0.4963235294117647,
|
1149 |
-
"acc_norm_stderr": 0.030372015885428195
|
1150 |
-
},
|
1151 |
-
"harness|hendrycksTest-professional_psychology|5": {
|
1152 |
-
"acc": 0.565359477124183,
|
1153 |
-
"acc_stderr": 0.02005426920072646,
|
1154 |
-
"acc_norm": 0.565359477124183,
|
1155 |
-
"acc_norm_stderr": 0.02005426920072646
|
1156 |
-
},
|
1157 |
-
"harness|hendrycksTest-public_relations|5": {
|
1158 |
-
"acc": 0.6545454545454545,
|
1159 |
-
"acc_stderr": 0.04554619617541054,
|
1160 |
-
"acc_norm": 0.6545454545454545,
|
1161 |
-
"acc_norm_stderr": 0.04554619617541054
|
1162 |
-
},
|
1163 |
-
"harness|hendrycksTest-security_studies|5": {
|
1164 |
-
"acc": 0.6326530612244898,
|
1165 |
-
"acc_stderr": 0.030862144921087558,
|
1166 |
-
"acc_norm": 0.6326530612244898,
|
1167 |
-
"acc_norm_stderr": 0.030862144921087558
|
1168 |
-
},
|
1169 |
-
"harness|hendrycksTest-sociology|5": {
|
1170 |
-
"acc": 0.7711442786069652,
|
1171 |
-
"acc_stderr": 0.029705284056772426,
|
1172 |
-
"acc_norm": 0.7711442786069652,
|
1173 |
-
"acc_norm_stderr": 0.029705284056772426
|
1174 |
-
},
|
1175 |
-
"harness|hendrycksTest-us_foreign_policy|5": {
|
1176 |
-
"acc": 0.81,
|
1177 |
-
"acc_stderr": 0.039427724440366255,
|
1178 |
-
"acc_norm": 0.81,
|
1179 |
-
"acc_norm_stderr": 0.039427724440366255
|
1180 |
-
},
|
1181 |
-
"harness|hendrycksTest-virology|5": {
|
1182 |
-
"acc": 0.4879518072289157,
|
1183 |
-
"acc_stderr": 0.0389136449583582,
|
1184 |
-
"acc_norm": 0.4879518072289157,
|
1185 |
-
"acc_norm_stderr": 0.0389136449583582
|
1186 |
-
},
|
1187 |
-
"harness|hendrycksTest-world_religions|5": {
|
1188 |
-
"acc": 0.7777777777777778,
|
1189 |
-
"acc_stderr": 0.03188578017686398,
|
1190 |
-
"acc_norm": 0.7777777777777778,
|
1191 |
-
"acc_norm_stderr": 0.03188578017686398
|
1192 |
-
},
|
1193 |
-
"harness|truthfulqa:mc|0": {
|
1194 |
-
"mc1": 0.3623011015911873,
|
1195 |
-
"mc1_stderr": 0.016826646897262258,
|
1196 |
-
"mc2": 0.5282079355751091,
|
1197 |
-
"mc2_stderr": 0.015652489117510483
|
1198 |
}
|
1199 |
}
|
1200 |
```
|
|
|
3 |
dataset_summary: "Dataset automatically created during the evaluation run of model\
|
4 |
\ [OpenBuddy/openbuddy-mistral-7b-v13-base](https://huggingface.co/OpenBuddy/openbuddy-mistral-7b-v13-base)\
|
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_OpenBuddy__openbuddy-mistral-7b-v13-base\"\
|
15 |
+
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
|
16 |
+
These are the [latest results from run 2023-10-23T13:40:07.826401](https://huggingface.co/datasets/open-llm-leaderboard/details_OpenBuddy__openbuddy-mistral-7b-v13-base/blob/main/results_2023-10-23T13-40-07.826401.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\": 0.28544463087248323,\n\
|
20 |
+
\ \"em_stderr\": 0.004625072383719666,\n \"f1\": 0.3571770134228197,\n\
|
21 |
+
\ \"f1_stderr\": 0.004531759792948092,\n \"acc\": 0.3628134250613192,\n\
|
22 |
+
\ \"acc_stderr\": 0.007861162191425665\n },\n \"harness|drop|3\": {\n\
|
23 |
+
\ \"em\": 0.28544463087248323,\n \"em_stderr\": 0.004625072383719666,\n\
|
24 |
+
\ \"f1\": 0.3571770134228197,\n \"f1_stderr\": 0.004531759792948092\n\
|
25 |
+
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.012130401819560273,\n \
|
26 |
+
\ \"acc_stderr\": 0.003015294242890952\n },\n \"harness|winogrande|5\"\
|
27 |
+
: {\n \"acc\": 0.7134964483030781,\n \"acc_stderr\": 0.01270703013996038\n\
|
28 |
+
\ }\n}\n```"
|
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|
29 |
repo_url: https://huggingface.co/OpenBuddy/openbuddy-mistral-7b-v13-base
|
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_2023-10-11T09-56-20.350161.parquet'
|
41 |
+
- config_name: harness_drop_3
|
42 |
+
data_files:
|
43 |
+
- split: 2023_10_23T13_40_07.826401
|
44 |
+
path:
|
45 |
+
- '**/details_harness|drop|3_2023-10-23T13-40-07.826401.parquet'
|
46 |
+
- split: latest
|
47 |
+
path:
|
48 |
+
- '**/details_harness|drop|3_2023-10-23T13-40-07.826401.parquet'
|
49 |
+
- config_name: harness_gsm8k_5
|
50 |
+
data_files:
|
51 |
+
- split: 2023_10_23T13_40_07.826401
|
52 |
+
path:
|
53 |
+
- '**/details_harness|gsm8k|5_2023-10-23T13-40-07.826401.parquet'
|
54 |
+
- split: latest
|
55 |
+
path:
|
56 |
+
- '**/details_harness|gsm8k|5_2023-10-23T13-40-07.826401.parquet'
|
57 |
- config_name: harness_hellaswag_10
|
58 |
data_files:
|
59 |
- split: 2023_10_11T09_56_20.350161
|
|
|
646 |
- split: latest
|
647 |
path:
|
648 |
- '**/details_harness|truthfulqa:mc|0_2023-10-11T09-56-20.350161.parquet'
|
649 |
+
- config_name: harness_winogrande_5
|
650 |
+
data_files:
|
651 |
+
- split: 2023_10_23T13_40_07.826401
|
652 |
+
path:
|
653 |
+
- '**/details_harness|winogrande|5_2023-10-23T13-40-07.826401.parquet'
|
654 |
+
- split: latest
|
655 |
+
path:
|
656 |
+
- '**/details_harness|winogrande|5_2023-10-23T13-40-07.826401.parquet'
|
657 |
- config_name: results
|
658 |
data_files:
|
659 |
- split: 2023_10_11T09_56_20.350161
|
660 |
path:
|
661 |
- results_2023-10-11T09-56-20.350161.parquet
|
662 |
+
- split: 2023_10_23T13_40_07.826401
|
663 |
+
path:
|
664 |
+
- results_2023-10-23T13-40-07.826401.parquet
|
665 |
- split: latest
|
666 |
path:
|
667 |
+
- results_2023-10-23T13-40-07.826401.parquet
|
668 |
---
|
669 |
|
670 |
# Dataset Card for Evaluation run of OpenBuddy/openbuddy-mistral-7b-v13-base
|
|
|
681 |
|
682 |
Dataset automatically created during the evaluation run of model [OpenBuddy/openbuddy-mistral-7b-v13-base](https://huggingface.co/OpenBuddy/openbuddy-mistral-7b-v13-base) 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_OpenBuddy__openbuddy-mistral-7b-v13-base",
|
694 |
+
"harness_winogrande_5",
|
695 |
split="train")
|
696 |
```
|
697 |
|
698 |
## Latest results
|
699 |
|
700 |
+
These are the [latest results from run 2023-10-23T13:40:07.826401](https://huggingface.co/datasets/open-llm-leaderboard/details_OpenBuddy__openbuddy-mistral-7b-v13-base/blob/main/results_2023-10-23T13-40-07.826401.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": 0.28544463087248323,
|
706 |
+
"em_stderr": 0.004625072383719666,
|
707 |
+
"f1": 0.3571770134228197,
|
708 |
+
"f1_stderr": 0.004531759792948092,
|
709 |
+
"acc": 0.3628134250613192,
|
710 |
+
"acc_stderr": 0.007861162191425665
|
711 |
+
},
|
712 |
+
"harness|drop|3": {
|
713 |
+
"em": 0.28544463087248323,
|
714 |
+
"em_stderr": 0.004625072383719666,
|
715 |
+
"f1": 0.3571770134228197,
|
716 |
+
"f1_stderr": 0.004531759792948092
|
717 |
+
},
|
718 |
+
"harness|gsm8k|5": {
|
719 |
+
"acc": 0.012130401819560273,
|
720 |
+
"acc_stderr": 0.003015294242890952
|
721 |
+
},
|
722 |
+
"harness|winogrande|5": {
|
723 |
+
"acc": 0.7134964483030781,
|
724 |
+
"acc_stderr": 0.01270703013996038
|
|
|
|
|
|
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|
725 |
}
|
726 |
}
|
727 |
```
|