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README.md
CHANGED
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@@ -3,8 +3,8 @@ pretty_name: Evaluation run of Xwin-LM/Xwin-LM-7B-V0.1
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dataset_summary: "Dataset automatically created during the evaluation run of model\
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\ [Xwin-LM/Xwin-LM-7B-V0.1](https://huggingface.co/Xwin-LM/Xwin-LM-7B-V0.1) on the\
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\ [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_Xwin-LM__Xwin-LM-7B-V0.1\"\
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,\n\t\"
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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\": 0.32,\n \"acc_stderr\": 0.046882617226215034,\n \
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\ \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.046882617226215034\n \
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\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.5111111111111111,\n\
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\ \"acc_stderr\": 0.04318275491977976,\n \"acc_norm\": 0.5111111111111111,\n\
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\ \"acc_norm_stderr\": 0.04318275491977976\n },\n \"harness|hendrycksTest-astronomy|5\"\
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: {\n \"acc\": 0.4276315789473684,\n \"acc_stderr\": 0.040260970832965585,\n\
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\ \"acc_norm\": 0.4276315789473684,\n \"acc_norm_stderr\": 0.040260970832965585\n\
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\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.48,\n\
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\ \"acc_stderr\": 0.050211673156867795,\n \"acc_norm\": 0.48,\n \
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\ \"acc_norm_stderr\": 0.050211673156867795\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
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: {\n \"acc\": 0.5245283018867924,\n \"acc_stderr\": 0.030735822206205608,\n\
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\ \"acc_norm\": 0.5245283018867924,\n \"acc_norm_stderr\": 0.030735822206205608\n\
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\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.5,\n\
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\ \"acc_stderr\": 0.04181210050035455,\n \"acc_norm\": 0.5,\n \
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\ \"acc_norm_stderr\": 0.04181210050035455\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
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: {\n \"acc\": 0.35,\n \"acc_stderr\": 0.047937248544110196,\n \
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\ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.047937248544110196\n \
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\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\
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acc\": 0.38,\n \"acc_stderr\": 0.04878317312145632,\n \"acc_norm\"\
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: 0.38,\n \"acc_norm_stderr\": 0.04878317312145632\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
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: {\n \"acc\": 0.32,\n \"acc_stderr\": 0.046882617226215034,\n \
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\ \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.046882617226215034\n \
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\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.44508670520231214,\n\
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\ \"acc_stderr\": 0.03789401760283648,\n \"acc_norm\": 0.44508670520231214,\n\
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\ \"acc_norm_stderr\": 0.03789401760283648\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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\ 0.59,\n \"acc_stderr\": 0.049431107042371025,\n \"acc_norm\": 0.59,\n\
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\ \"acc_norm_stderr\": 0.049431107042371025\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
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: {\n \"acc\": 0.451063829787234,\n \"acc_stderr\": 0.03252909619613197,\n\
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\ \"acc_norm\": 0.451063829787234,\n \"acc_norm_stderr\": 0.03252909619613197\n\
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\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.3508771929824561,\n\
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\ \"acc_stderr\": 0.044895393502707,\n \"acc_norm\": 0.3508771929824561,\n\
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\ \"acc_norm_stderr\": 0.044895393502707\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
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: {\n \"acc\": 0.5241379310344828,\n \"acc_stderr\": 0.0416180850350153,\n\
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\ \"acc_norm\": 0.5241379310344828,\n \"acc_norm_stderr\": 0.0416180850350153\n\
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\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
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: 0.3333333333333333,\n \"acc_stderr\": 0.024278568024307712,\n \"\
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acc_norm\": 0.3333333333333333,\n \"acc_norm_stderr\": 0.024278568024307712\n\
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\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.21428571428571427,\n\
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\ \"acc_stderr\": 0.03670066451047181,\n \"acc_norm\": 0.21428571428571427,\n\
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\ \"acc_norm_stderr\": 0.03670066451047181\n },\n \"harness|hendrycksTest-global_facts|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-high_school_biology|5\": {\n \"acc\"\
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: 0.5516129032258065,\n \"acc_stderr\": 0.02829205683011273,\n \"\
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acc_norm\": 0.5516129032258065,\n \"acc_norm_stderr\": 0.02829205683011273\n\
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\ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\
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: 0.4187192118226601,\n \"acc_stderr\": 0.03471192860518468,\n \"\
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acc_norm\": 0.4187192118226601,\n \"acc_norm_stderr\": 0.03471192860518468\n\
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\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
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\ \"acc\": 0.51,\n \"acc_stderr\": 0.05024183937956912,\n \"acc_norm\"\
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: 0.51,\n \"acc_norm_stderr\": 0.05024183937956912\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
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: {\n \"acc\": 0.6484848484848484,\n \"acc_stderr\": 0.037282069986826503,\n\
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\ \"acc_norm\": 0.6484848484848484,\n \"acc_norm_stderr\": 0.037282069986826503\n\
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\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
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: 0.6161616161616161,\n \"acc_stderr\": 0.03464881675016339,\n \"\
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acc_norm\": 0.6161616161616161,\n \"acc_norm_stderr\": 0.03464881675016339\n\
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\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
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\ \"acc\": 0.7253886010362695,\n \"acc_stderr\": 0.03221024508041153,\n\
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\ \"acc_norm\": 0.7253886010362695,\n \"acc_norm_stderr\": 0.03221024508041153\n\
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\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
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\ \"acc\": 0.46923076923076923,\n \"acc_stderr\": 0.02530295889085015,\n\
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\ \"acc_norm\": 0.46923076923076923,\n \"acc_norm_stderr\": 0.02530295889085015\n\
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\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
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acc\": 0.2814814814814815,\n \"acc_stderr\": 0.027420019350945287,\n \
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\ \"acc_norm\": 0.2814814814814815,\n \"acc_norm_stderr\": 0.027420019350945287\n\
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\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
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\ \"acc\": 0.4579831932773109,\n \"acc_stderr\": 0.03236361111951941,\n \
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\ \"acc_norm\": 0.4579831932773109,\n \"acc_norm_stderr\": 0.03236361111951941\n\
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\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
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: 0.271523178807947,\n \"acc_stderr\": 0.03631329803969655,\n \"acc_norm\"\
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: 0.271523178807947,\n \"acc_norm_stderr\": 0.03631329803969655\n },\n\
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\ \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\": 0.6880733944954128,\n\
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\ \"acc_stderr\": 0.019862967976707245,\n \"acc_norm\": 0.6880733944954128,\n\
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\ \"acc_norm_stderr\": 0.019862967976707245\n },\n \"harness|hendrycksTest-high_school_statistics|5\"\
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: {\n \"acc\": 0.3611111111111111,\n \"acc_stderr\": 0.032757734861009996,\n\
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\ \"acc_norm\": 0.3611111111111111,\n \"acc_norm_stderr\": 0.032757734861009996\n\
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\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
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: 0.6470588235294118,\n \"acc_stderr\": 0.03354092437591519,\n \"\
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acc_norm\": 0.6470588235294118,\n \"acc_norm_stderr\": 0.03354092437591519\n\
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\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
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acc\": 0.6962025316455697,\n \"acc_stderr\": 0.029936696387138598,\n \
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\ \"acc_norm\": 0.6962025316455697,\n \"acc_norm_stderr\": 0.029936696387138598\n\
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\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.600896860986547,\n\
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\ \"acc_stderr\": 0.03286745312567961,\n \"acc_norm\": 0.600896860986547,\n\
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\ \"acc_norm_stderr\": 0.03286745312567961\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
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: {\n \"acc\": 0.5648854961832062,\n \"acc_stderr\": 0.04348208051644858,\n\
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\ \"acc_norm\": 0.5648854961832062,\n \"acc_norm_stderr\": 0.04348208051644858\n\
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\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
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\ 0.6611570247933884,\n \"acc_stderr\": 0.04320767807536671,\n \"\
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acc_norm\": 0.6611570247933884,\n \"acc_norm_stderr\": 0.04320767807536671\n\
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\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.5462962962962963,\n\
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\ \"acc_stderr\": 0.04812917324536823,\n \"acc_norm\": 0.5462962962962963,\n\
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\ \"acc_norm_stderr\": 0.04812917324536823\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
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: {\n \"acc\": 0.5766871165644172,\n \"acc_stderr\": 0.038818912133343826,\n\
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\ \"acc_norm\": 0.5766871165644172,\n \"acc_norm_stderr\": 0.038818912133343826\n\
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\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.33035714285714285,\n\
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\ \"acc_stderr\": 0.04464285714285713,\n \"acc_norm\": 0.33035714285714285,\n\
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\ \"acc_norm_stderr\": 0.04464285714285713\n },\n \"harness|hendrycksTest-management|5\"\
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: {\n \"acc\": 0.6504854368932039,\n \"acc_stderr\": 0.04721188506097173,\n\
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\ \"acc_norm\": 0.6504854368932039,\n \"acc_norm_stderr\": 0.04721188506097173\n\
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\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.7008547008547008,\n\
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\ \"acc_stderr\": 0.029996951858349472,\n \"acc_norm\": 0.7008547008547008,\n\
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\ \"acc_norm_stderr\": 0.029996951858349472\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
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: {\n \"acc\": 0.54,\n \"acc_stderr\": 0.05009082659620332,\n \
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\ \"acc_norm\": 0.54,\n \"acc_norm_stderr\": 0.05009082659620332\n \
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\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.6781609195402298,\n\
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\ \"acc_stderr\": 0.0167063814150579,\n \"acc_norm\": 0.6781609195402298,\n\
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| 139 |
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\ \"acc_norm_stderr\": 0.0167063814150579\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
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: {\n \"acc\": 0.546242774566474,\n \"acc_stderr\": 0.02680372058320618,\n\
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\ \"acc_norm\": 0.546242774566474,\n \"acc_norm_stderr\": 0.02680372058320618\n\
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\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.2782122905027933,\n\
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\ \"acc_stderr\": 0.014987325439963546,\n \"acc_norm\": 0.2782122905027933,\n\
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\ \"acc_norm_stderr\": 0.014987325439963546\n },\n \"harness|hendrycksTest-nutrition|5\"\
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: {\n \"acc\": 0.5424836601307189,\n \"acc_stderr\": 0.02852638345214264,\n\
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\ \"acc_norm\": 0.5424836601307189,\n \"acc_norm_stderr\": 0.02852638345214264\n\
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\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.572347266881029,\n\
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\ \"acc_stderr\": 0.028099240775809563,\n \"acc_norm\": 0.572347266881029,\n\
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\ \"acc_norm_stderr\": 0.028099240775809563\n },\n \"harness|hendrycksTest-prehistory|5\"\
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: {\n \"acc\": 0.5462962962962963,\n \"acc_stderr\": 0.027701228468542602,\n\
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\ \"acc_norm\": 0.5462962962962963,\n \"acc_norm_stderr\": 0.027701228468542602\n\
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\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
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| 153 |
-
acc\": 0.3829787234042553,\n \"acc_stderr\": 0.02899908090480618,\n \
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\ \"acc_norm\": 0.3829787234042553,\n \"acc_norm_stderr\": 0.02899908090480618\n\
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\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.379400260756193,\n\
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| 156 |
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\ \"acc_stderr\": 0.0123932020298254,\n \"acc_norm\": 0.379400260756193,\n\
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| 157 |
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\ \"acc_norm_stderr\": 0.0123932020298254\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
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| 158 |
-
: {\n \"acc\": 0.5183823529411765,\n \"acc_stderr\": 0.03035230339535196,\n\
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| 159 |
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\ \"acc_norm\": 0.5183823529411765,\n \"acc_norm_stderr\": 0.03035230339535196\n\
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| 160 |
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\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
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| 161 |
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acc\": 0.4722222222222222,\n \"acc_stderr\": 0.020196594933541194,\n \
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\ \"acc_norm\": 0.4722222222222222,\n \"acc_norm_stderr\": 0.020196594933541194\n\
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\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.5636363636363636,\n\
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\ \"acc_stderr\": 0.04750185058907296,\n \"acc_norm\": 0.5636363636363636,\n\
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\ \"acc_norm_stderr\": 0.04750185058907296\n },\n \"harness|hendrycksTest-security_studies|5\"\
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| 166 |
-
: {\n \"acc\": 0.6081632653061224,\n \"acc_stderr\": 0.03125127591089165,\n\
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| 167 |
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\ \"acc_norm\": 0.6081632653061224,\n \"acc_norm_stderr\": 0.03125127591089165\n\
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\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.736318407960199,\n\
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\ \"acc_stderr\": 0.03115715086935558,\n \"acc_norm\": 0.736318407960199,\n\
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| 170 |
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\ \"acc_norm_stderr\": 0.03115715086935558\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
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: {\n \"acc\": 0.69,\n \"acc_stderr\": 0.04648231987117316,\n \
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\ \"acc_norm\": 0.69,\n \"acc_norm_stderr\": 0.04648231987117316\n \
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\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.42168674698795183,\n\
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\ \"acc_stderr\": 0.03844453181770917,\n \"acc_norm\": 0.42168674698795183,\n\
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\ \"acc_norm_stderr\": 0.03844453181770917\n },\n \"harness|hendrycksTest-world_religions|5\"\
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: {\n \"acc\": 0.6783625730994152,\n \"acc_stderr\": 0.03582529442573122,\n\
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\ \"acc_norm\": 0.6783625730994152,\n \"acc_norm_stderr\": 0.03582529442573122\n\
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\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.3292533659730722,\n\
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\ \"mc1_stderr\": 0.01645126444006824,\n \"mc2\": 0.47887897889684966,\n\
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\ \"mc2_stderr\": 0.015477268229074508\n }\n}\n```"
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repo_url: https://huggingface.co/Xwin-LM/Xwin-LM-7B-V0.1
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leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
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point_of_contact: [email protected]
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- split: latest
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path:
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- '**/details_harness|arc:challenge|25_2023-09-22T01-35-00.215271.parquet'
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- config_name: harness_hellaswag_10
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data_files:
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- split: 2023_09_22T01_35_00.215271
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|
@@ -782,14 +646,25 @@ configs:
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| 782 |
- split: latest
|
| 783 |
path:
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| 784 |
- '**/details_harness|truthfulqa:mc|0_2023-09-22T01-35-00.215271.parquet'
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| 785 |
- config_name: results
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| 786 |
data_files:
|
| 787 |
- split: 2023_09_22T01_35_00.215271
|
| 788 |
path:
|
| 789 |
- results_2023-09-22T01-35-00.215271.parquet
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|
|
|
| 790 |
- split: latest
|
| 791 |
path:
|
| 792 |
-
- results_2023-
|
| 793 |
---
|
| 794 |
|
| 795 |
# Dataset Card for Evaluation run of Xwin-LM/Xwin-LM-7B-V0.1
|
|
@@ -806,9 +681,9 @@ configs:
|
|
| 806 |
|
| 807 |
Dataset automatically created during the evaluation run of model [Xwin-LM/Xwin-LM-7B-V0.1](https://huggingface.co/Xwin-LM/Xwin-LM-7B-V0.1) 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_Xwin-LM__Xwin-LM-7B-V0.1",
|
| 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 |
-
"
|
| 833 |
-
"
|
| 834 |
-
"
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| 835 |
-
"
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| 836 |
-
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| 837 |
-
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-
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-
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-
"
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-
"
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| 842 |
-
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-
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| 844 |
-
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| 845 |
-
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-
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-
|
| 848 |
-
"
|
| 849 |
-
"
|
| 850 |
-
},
|
| 851 |
-
"harness|hendrycksTest-abstract_algebra|5": {
|
| 852 |
-
"acc": 0.32,
|
| 853 |
-
"acc_stderr": 0.046882617226215034,
|
| 854 |
-
"acc_norm": 0.32,
|
| 855 |
-
"acc_norm_stderr": 0.046882617226215034
|
| 856 |
-
},
|
| 857 |
-
"harness|hendrycksTest-anatomy|5": {
|
| 858 |
-
"acc": 0.5111111111111111,
|
| 859 |
-
"acc_stderr": 0.04318275491977976,
|
| 860 |
-
"acc_norm": 0.5111111111111111,
|
| 861 |
-
"acc_norm_stderr": 0.04318275491977976
|
| 862 |
-
},
|
| 863 |
-
"harness|hendrycksTest-astronomy|5": {
|
| 864 |
-
"acc": 0.4276315789473684,
|
| 865 |
-
"acc_stderr": 0.040260970832965585,
|
| 866 |
-
"acc_norm": 0.4276315789473684,
|
| 867 |
-
"acc_norm_stderr": 0.040260970832965585
|
| 868 |
-
},
|
| 869 |
-
"harness|hendrycksTest-business_ethics|5": {
|
| 870 |
-
"acc": 0.48,
|
| 871 |
-
"acc_stderr": 0.050211673156867795,
|
| 872 |
-
"acc_norm": 0.48,
|
| 873 |
-
"acc_norm_stderr": 0.050211673156867795
|
| 874 |
-
},
|
| 875 |
-
"harness|hendrycksTest-clinical_knowledge|5": {
|
| 876 |
-
"acc": 0.5245283018867924,
|
| 877 |
-
"acc_stderr": 0.030735822206205608,
|
| 878 |
-
"acc_norm": 0.5245283018867924,
|
| 879 |
-
"acc_norm_stderr": 0.030735822206205608
|
| 880 |
-
},
|
| 881 |
-
"harness|hendrycksTest-college_biology|5": {
|
| 882 |
-
"acc": 0.5,
|
| 883 |
-
"acc_stderr": 0.04181210050035455,
|
| 884 |
-
"acc_norm": 0.5,
|
| 885 |
-
"acc_norm_stderr": 0.04181210050035455
|
| 886 |
-
},
|
| 887 |
-
"harness|hendrycksTest-college_chemistry|5": {
|
| 888 |
-
"acc": 0.35,
|
| 889 |
-
"acc_stderr": 0.047937248544110196,
|
| 890 |
-
"acc_norm": 0.35,
|
| 891 |
-
"acc_norm_stderr": 0.047937248544110196
|
| 892 |
-
},
|
| 893 |
-
"harness|hendrycksTest-college_computer_science|5": {
|
| 894 |
-
"acc": 0.38,
|
| 895 |
-
"acc_stderr": 0.04878317312145632,
|
| 896 |
-
"acc_norm": 0.38,
|
| 897 |
-
"acc_norm_stderr": 0.04878317312145632
|
| 898 |
-
},
|
| 899 |
-
"harness|hendrycksTest-college_mathematics|5": {
|
| 900 |
-
"acc": 0.32,
|
| 901 |
-
"acc_stderr": 0.046882617226215034,
|
| 902 |
-
"acc_norm": 0.32,
|
| 903 |
-
"acc_norm_stderr": 0.046882617226215034
|
| 904 |
-
},
|
| 905 |
-
"harness|hendrycksTest-college_medicine|5": {
|
| 906 |
-
"acc": 0.44508670520231214,
|
| 907 |
-
"acc_stderr": 0.03789401760283648,
|
| 908 |
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"acc_norm": 0.44508670520231214,
|
| 909 |
-
"acc_norm_stderr": 0.03789401760283648
|
| 910 |
-
},
|
| 911 |
-
"harness|hendrycksTest-college_physics|5": {
|
| 912 |
-
"acc": 0.21568627450980393,
|
| 913 |
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"acc_stderr": 0.04092563958237655,
|
| 914 |
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"acc_norm": 0.21568627450980393,
|
| 915 |
-
"acc_norm_stderr": 0.04092563958237655
|
| 916 |
-
},
|
| 917 |
-
"harness|hendrycksTest-computer_security|5": {
|
| 918 |
-
"acc": 0.59,
|
| 919 |
-
"acc_stderr": 0.049431107042371025,
|
| 920 |
-
"acc_norm": 0.59,
|
| 921 |
-
"acc_norm_stderr": 0.049431107042371025
|
| 922 |
-
},
|
| 923 |
-
"harness|hendrycksTest-conceptual_physics|5": {
|
| 924 |
-
"acc": 0.451063829787234,
|
| 925 |
-
"acc_stderr": 0.03252909619613197,
|
| 926 |
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"acc_norm": 0.451063829787234,
|
| 927 |
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"acc_norm_stderr": 0.03252909619613197
|
| 928 |
-
},
|
| 929 |
-
"harness|hendrycksTest-econometrics|5": {
|
| 930 |
-
"acc": 0.3508771929824561,
|
| 931 |
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"acc_stderr": 0.044895393502707,
|
| 932 |
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"acc_norm": 0.3508771929824561,
|
| 933 |
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|
| 934 |
-
},
|
| 935 |
-
"harness|hendrycksTest-electrical_engineering|5": {
|
| 936 |
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|
| 937 |
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|
| 939 |
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"acc_norm_stderr": 0.0416180850350153
|
| 940 |
-
},
|
| 941 |
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"harness|hendrycksTest-elementary_mathematics|5": {
|
| 942 |
-
"acc": 0.3333333333333333,
|
| 943 |
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"acc_stderr": 0.024278568024307712,
|
| 944 |
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"acc_norm": 0.3333333333333333,
|
| 945 |
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"acc_norm_stderr": 0.024278568024307712
|
| 946 |
-
},
|
| 947 |
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"harness|hendrycksTest-formal_logic|5": {
|
| 948 |
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"acc": 0.21428571428571427,
|
| 949 |
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"acc_stderr": 0.03670066451047181,
|
| 950 |
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|
| 951 |
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|
| 952 |
-
},
|
| 953 |
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"harness|hendrycksTest-global_facts|5": {
|
| 954 |
-
"acc": 0.42,
|
| 955 |
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"acc_stderr": 0.049604496374885836,
|
| 956 |
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"acc_norm": 0.42,
|
| 957 |
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|
| 958 |
-
},
|
| 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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|
| 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": 0.51,
|
| 973 |
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"acc_stderr": 0.05024183937956912,
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| 974 |
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"acc_norm": 0.51,
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| 975 |
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"acc_norm_stderr": 0.05024183937956912
|
| 976 |
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},
|
| 977 |
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"harness|hendrycksTest-high_school_european_history|5": {
|
| 978 |
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"acc": 0.6484848484848484,
|
| 979 |
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|
| 980 |
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"acc_norm": 0.6484848484848484,
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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": 0.6161616161616161,
|
| 985 |
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"acc_stderr": 0.03464881675016339,
|
| 986 |
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"acc_norm": 0.6161616161616161,
|
| 987 |
-
"acc_norm_stderr": 0.03464881675016339
|
| 988 |
-
},
|
| 989 |
-
"harness|hendrycksTest-high_school_government_and_politics|5": {
|
| 990 |
-
"acc": 0.7253886010362695,
|
| 991 |
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"acc_stderr": 0.03221024508041153,
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| 992 |
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|
| 993 |
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"acc_norm_stderr": 0.03221024508041153
|
| 994 |
-
},
|
| 995 |
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"harness|hendrycksTest-high_school_macroeconomics|5": {
|
| 996 |
-
"acc": 0.46923076923076923,
|
| 997 |
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"acc_stderr": 0.02530295889085015,
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| 998 |
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"acc_norm": 0.46923076923076923,
|
| 999 |
-
"acc_norm_stderr": 0.02530295889085015
|
| 1000 |
-
},
|
| 1001 |
-
"harness|hendrycksTest-high_school_mathematics|5": {
|
| 1002 |
-
"acc": 0.2814814814814815,
|
| 1003 |
-
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| 1004 |
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"acc_norm": 0.2814814814814815,
|
| 1005 |
-
"acc_norm_stderr": 0.027420019350945287
|
| 1006 |
-
},
|
| 1007 |
-
"harness|hendrycksTest-high_school_microeconomics|5": {
|
| 1008 |
-
"acc": 0.4579831932773109,
|
| 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 |
-
"acc": 0.6880733944954128,
|
| 1021 |
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|
| 1022 |
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|
| 1023 |
-
"acc_norm_stderr": 0.019862967976707245
|
| 1024 |
-
},
|
| 1025 |
-
"harness|hendrycksTest-high_school_statistics|5": {
|
| 1026 |
-
"acc": 0.3611111111111111,
|
| 1027 |
-
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|
| 1028 |
-
"acc_norm": 0.3611111111111111,
|
| 1029 |
-
"acc_norm_stderr": 0.032757734861009996
|
| 1030 |
-
},
|
| 1031 |
-
"harness|hendrycksTest-high_school_us_history|5": {
|
| 1032 |
-
"acc": 0.6470588235294118,
|
| 1033 |
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|
| 1034 |
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"acc_norm": 0.6470588235294118,
|
| 1035 |
-
"acc_norm_stderr": 0.03354092437591519
|
| 1036 |
-
},
|
| 1037 |
-
"harness|hendrycksTest-high_school_world_history|5": {
|
| 1038 |
-
"acc": 0.6962025316455697,
|
| 1039 |
-
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|
| 1040 |
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|
| 1041 |
-
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|
| 1042 |
-
},
|
| 1043 |
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"harness|hendrycksTest-human_aging|5": {
|
| 1044 |
-
"acc": 0.600896860986547,
|
| 1045 |
-
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|
| 1046 |
-
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|
| 1047 |
-
"acc_norm_stderr": 0.03286745312567961
|
| 1048 |
-
},
|
| 1049 |
-
"harness|hendrycksTest-human_sexuality|5": {
|
| 1050 |
-
"acc": 0.5648854961832062,
|
| 1051 |
-
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|
| 1052 |
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|
| 1053 |
-
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|
| 1054 |
-
},
|
| 1055 |
-
"harness|hendrycksTest-international_law|5": {
|
| 1056 |
-
"acc": 0.6611570247933884,
|
| 1057 |
-
"acc_stderr": 0.04320767807536671,
|
| 1058 |
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"acc_norm": 0.6611570247933884,
|
| 1059 |
-
"acc_norm_stderr": 0.04320767807536671
|
| 1060 |
-
},
|
| 1061 |
-
"harness|hendrycksTest-jurisprudence|5": {
|
| 1062 |
-
"acc": 0.5462962962962963,
|
| 1063 |
-
"acc_stderr": 0.04812917324536823,
|
| 1064 |
-
"acc_norm": 0.5462962962962963,
|
| 1065 |
-
"acc_norm_stderr": 0.04812917324536823
|
| 1066 |
-
},
|
| 1067 |
-
"harness|hendrycksTest-logical_fallacies|5": {
|
| 1068 |
-
"acc": 0.5766871165644172,
|
| 1069 |
-
"acc_stderr": 0.038818912133343826,
|
| 1070 |
-
"acc_norm": 0.5766871165644172,
|
| 1071 |
-
"acc_norm_stderr": 0.038818912133343826
|
| 1072 |
-
},
|
| 1073 |
-
"harness|hendrycksTest-machine_learning|5": {
|
| 1074 |
-
"acc": 0.33035714285714285,
|
| 1075 |
-
"acc_stderr": 0.04464285714285713,
|
| 1076 |
-
"acc_norm": 0.33035714285714285,
|
| 1077 |
-
"acc_norm_stderr": 0.04464285714285713
|
| 1078 |
-
},
|
| 1079 |
-
"harness|hendrycksTest-management|5": {
|
| 1080 |
-
"acc": 0.6504854368932039,
|
| 1081 |
-
"acc_stderr": 0.04721188506097173,
|
| 1082 |
-
"acc_norm": 0.6504854368932039,
|
| 1083 |
-
"acc_norm_stderr": 0.04721188506097173
|
| 1084 |
-
},
|
| 1085 |
-
"harness|hendrycksTest-marketing|5": {
|
| 1086 |
-
"acc": 0.7008547008547008,
|
| 1087 |
-
"acc_stderr": 0.029996951858349472,
|
| 1088 |
-
"acc_norm": 0.7008547008547008,
|
| 1089 |
-
"acc_norm_stderr": 0.029996951858349472
|
| 1090 |
-
},
|
| 1091 |
-
"harness|hendrycksTest-medical_genetics|5": {
|
| 1092 |
-
"acc": 0.54,
|
| 1093 |
-
"acc_stderr": 0.05009082659620332,
|
| 1094 |
-
"acc_norm": 0.54,
|
| 1095 |
-
"acc_norm_stderr": 0.05009082659620332
|
| 1096 |
-
},
|
| 1097 |
-
"harness|hendrycksTest-miscellaneous|5": {
|
| 1098 |
-
"acc": 0.6781609195402298,
|
| 1099 |
-
"acc_stderr": 0.0167063814150579,
|
| 1100 |
-
"acc_norm": 0.6781609195402298,
|
| 1101 |
-
"acc_norm_stderr": 0.0167063814150579
|
| 1102 |
-
},
|
| 1103 |
-
"harness|hendrycksTest-moral_disputes|5": {
|
| 1104 |
-
"acc": 0.546242774566474,
|
| 1105 |
-
"acc_stderr": 0.02680372058320618,
|
| 1106 |
-
"acc_norm": 0.546242774566474,
|
| 1107 |
-
"acc_norm_stderr": 0.02680372058320618
|
| 1108 |
-
},
|
| 1109 |
-
"harness|hendrycksTest-moral_scenarios|5": {
|
| 1110 |
-
"acc": 0.2782122905027933,
|
| 1111 |
-
"acc_stderr": 0.014987325439963546,
|
| 1112 |
-
"acc_norm": 0.2782122905027933,
|
| 1113 |
-
"acc_norm_stderr": 0.014987325439963546
|
| 1114 |
-
},
|
| 1115 |
-
"harness|hendrycksTest-nutrition|5": {
|
| 1116 |
-
"acc": 0.5424836601307189,
|
| 1117 |
-
"acc_stderr": 0.02852638345214264,
|
| 1118 |
-
"acc_norm": 0.5424836601307189,
|
| 1119 |
-
"acc_norm_stderr": 0.02852638345214264
|
| 1120 |
-
},
|
| 1121 |
-
"harness|hendrycksTest-philosophy|5": {
|
| 1122 |
-
"acc": 0.572347266881029,
|
| 1123 |
-
"acc_stderr": 0.028099240775809563,
|
| 1124 |
-
"acc_norm": 0.572347266881029,
|
| 1125 |
-
"acc_norm_stderr": 0.028099240775809563
|
| 1126 |
-
},
|
| 1127 |
-
"harness|hendrycksTest-prehistory|5": {
|
| 1128 |
-
"acc": 0.5462962962962963,
|
| 1129 |
-
"acc_stderr": 0.027701228468542602,
|
| 1130 |
-
"acc_norm": 0.5462962962962963,
|
| 1131 |
-
"acc_norm_stderr": 0.027701228468542602
|
| 1132 |
-
},
|
| 1133 |
-
"harness|hendrycksTest-professional_accounting|5": {
|
| 1134 |
-
"acc": 0.3829787234042553,
|
| 1135 |
-
"acc_stderr": 0.02899908090480618,
|
| 1136 |
-
"acc_norm": 0.3829787234042553,
|
| 1137 |
-
"acc_norm_stderr": 0.02899908090480618
|
| 1138 |
-
},
|
| 1139 |
-
"harness|hendrycksTest-professional_law|5": {
|
| 1140 |
-
"acc": 0.379400260756193,
|
| 1141 |
-
"acc_stderr": 0.0123932020298254,
|
| 1142 |
-
"acc_norm": 0.379400260756193,
|
| 1143 |
-
"acc_norm_stderr": 0.0123932020298254
|
| 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": 0.4722222222222222,
|
| 1153 |
-
"acc_stderr": 0.020196594933541194,
|
| 1154 |
-
"acc_norm": 0.4722222222222222,
|
| 1155 |
-
"acc_norm_stderr": 0.020196594933541194
|
| 1156 |
-
},
|
| 1157 |
-
"harness|hendrycksTest-public_relations|5": {
|
| 1158 |
-
"acc": 0.5636363636363636,
|
| 1159 |
-
"acc_stderr": 0.04750185058907296,
|
| 1160 |
-
"acc_norm": 0.5636363636363636,
|
| 1161 |
-
"acc_norm_stderr": 0.04750185058907296
|
| 1162 |
-
},
|
| 1163 |
-
"harness|hendrycksTest-security_studies|5": {
|
| 1164 |
-
"acc": 0.6081632653061224,
|
| 1165 |
-
"acc_stderr": 0.03125127591089165,
|
| 1166 |
-
"acc_norm": 0.6081632653061224,
|
| 1167 |
-
"acc_norm_stderr": 0.03125127591089165
|
| 1168 |
-
},
|
| 1169 |
-
"harness|hendrycksTest-sociology|5": {
|
| 1170 |
-
"acc": 0.736318407960199,
|
| 1171 |
-
"acc_stderr": 0.03115715086935558,
|
| 1172 |
-
"acc_norm": 0.736318407960199,
|
| 1173 |
-
"acc_norm_stderr": 0.03115715086935558
|
| 1174 |
-
},
|
| 1175 |
-
"harness|hendrycksTest-us_foreign_policy|5": {
|
| 1176 |
-
"acc": 0.69,
|
| 1177 |
-
"acc_stderr": 0.04648231987117316,
|
| 1178 |
-
"acc_norm": 0.69,
|
| 1179 |
-
"acc_norm_stderr": 0.04648231987117316
|
| 1180 |
-
},
|
| 1181 |
-
"harness|hendrycksTest-virology|5": {
|
| 1182 |
-
"acc": 0.42168674698795183,
|
| 1183 |
-
"acc_stderr": 0.03844453181770917,
|
| 1184 |
-
"acc_norm": 0.42168674698795183,
|
| 1185 |
-
"acc_norm_stderr": 0.03844453181770917
|
| 1186 |
-
},
|
| 1187 |
-
"harness|hendrycksTest-world_religions|5": {
|
| 1188 |
-
"acc": 0.6783625730994152,
|
| 1189 |
-
"acc_stderr": 0.03582529442573122,
|
| 1190 |
-
"acc_norm": 0.6783625730994152,
|
| 1191 |
-
"acc_norm_stderr": 0.03582529442573122
|
| 1192 |
-
},
|
| 1193 |
-
"harness|truthfulqa:mc|0": {
|
| 1194 |
-
"mc1": 0.3292533659730722,
|
| 1195 |
-
"mc1_stderr": 0.01645126444006824,
|
| 1196 |
-
"mc2": 0.47887897889684966,
|
| 1197 |
-
"mc2_stderr": 0.015477268229074508
|
| 1198 |
}
|
| 1199 |
}
|
| 1200 |
```
|
|
|
|
| 3 |
dataset_summary: "Dataset automatically created during the evaluation run of model\
|
| 4 |
\ [Xwin-LM/Xwin-LM-7B-V0.1](https://huggingface.co/Xwin-LM/Xwin-LM-7B-V0.1) on the\
|
| 5 |
\ [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_Xwin-LM__Xwin-LM-7B-V0.1\"\
|
| 15 |
+
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
|
| 16 |
+
These are the [latest results from run 2023-10-29T08:21:17.529053](https://huggingface.co/datasets/open-llm-leaderboard/details_Xwin-LM__Xwin-LM-7B-V0.1/blob/main/results_2023-10-29T08-21-17.529053.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\": 0.027894295302013424,\n\
|
| 20 |
+
\ \"em_stderr\": 0.0016863747631550056,\n \"f1\": 0.09094588926174478,\n\
|
| 21 |
+
\ \"f1_stderr\": 0.0021236742209429166,\n \"acc\": 0.393149302914779,\n\
|
| 22 |
+
\ \"acc_stderr\": 0.009302457480391348\n },\n \"harness|drop|3\": {\n\
|
| 23 |
+
\ \"em\": 0.027894295302013424,\n \"em_stderr\": 0.0016863747631550056,\n\
|
| 24 |
+
\ \"f1\": 0.09094588926174478,\n \"f1_stderr\": 0.0021236742209429166\n\
|
| 25 |
+
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.05307050796057619,\n \
|
| 26 |
+
\ \"acc_stderr\": 0.006174868858638367\n },\n \"harness|winogrande|5\"\
|
| 27 |
+
: {\n \"acc\": 0.7332280978689818,\n \"acc_stderr\": 0.01243004610214433\n\
|
| 28 |
+
\ }\n}\n```"
|
|
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|
|
| 29 |
repo_url: https://huggingface.co/Xwin-LM/Xwin-LM-7B-V0.1
|
| 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_2023-09-22T01-35-00.215271.parquet'
|
| 41 |
+
- config_name: harness_drop_3
|
| 42 |
+
data_files:
|
| 43 |
+
- split: 2023_10_29T08_21_17.529053
|
| 44 |
+
path:
|
| 45 |
+
- '**/details_harness|drop|3_2023-10-29T08-21-17.529053.parquet'
|
| 46 |
+
- split: latest
|
| 47 |
+
path:
|
| 48 |
+
- '**/details_harness|drop|3_2023-10-29T08-21-17.529053.parquet'
|
| 49 |
+
- config_name: harness_gsm8k_5
|
| 50 |
+
data_files:
|
| 51 |
+
- split: 2023_10_29T08_21_17.529053
|
| 52 |
+
path:
|
| 53 |
+
- '**/details_harness|gsm8k|5_2023-10-29T08-21-17.529053.parquet'
|
| 54 |
+
- split: latest
|
| 55 |
+
path:
|
| 56 |
+
- '**/details_harness|gsm8k|5_2023-10-29T08-21-17.529053.parquet'
|
| 57 |
- config_name: harness_hellaswag_10
|
| 58 |
data_files:
|
| 59 |
- split: 2023_09_22T01_35_00.215271
|
|
|
|
| 646 |
- split: latest
|
| 647 |
path:
|
| 648 |
- '**/details_harness|truthfulqa:mc|0_2023-09-22T01-35-00.215271.parquet'
|
| 649 |
+
- config_name: harness_winogrande_5
|
| 650 |
+
data_files:
|
| 651 |
+
- split: 2023_10_29T08_21_17.529053
|
| 652 |
+
path:
|
| 653 |
+
- '**/details_harness|winogrande|5_2023-10-29T08-21-17.529053.parquet'
|
| 654 |
+
- split: latest
|
| 655 |
+
path:
|
| 656 |
+
- '**/details_harness|winogrande|5_2023-10-29T08-21-17.529053.parquet'
|
| 657 |
- config_name: results
|
| 658 |
data_files:
|
| 659 |
- split: 2023_09_22T01_35_00.215271
|
| 660 |
path:
|
| 661 |
- results_2023-09-22T01-35-00.215271.parquet
|
| 662 |
+
- split: 2023_10_29T08_21_17.529053
|
| 663 |
+
path:
|
| 664 |
+
- results_2023-10-29T08-21-17.529053.parquet
|
| 665 |
- split: latest
|
| 666 |
path:
|
| 667 |
+
- results_2023-10-29T08-21-17.529053.parquet
|
| 668 |
---
|
| 669 |
|
| 670 |
# Dataset Card for Evaluation run of Xwin-LM/Xwin-LM-7B-V0.1
|
|
|
|
| 681 |
|
| 682 |
Dataset automatically created during the evaluation run of model [Xwin-LM/Xwin-LM-7B-V0.1](https://huggingface.co/Xwin-LM/Xwin-LM-7B-V0.1) 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_Xwin-LM__Xwin-LM-7B-V0.1",
|
| 694 |
+
"harness_winogrande_5",
|
| 695 |
split="train")
|
| 696 |
```
|
| 697 |
|
| 698 |
## Latest results
|
| 699 |
|
| 700 |
+
These are the [latest results from run 2023-10-29T08:21:17.529053](https://huggingface.co/datasets/open-llm-leaderboard/details_Xwin-LM__Xwin-LM-7B-V0.1/blob/main/results_2023-10-29T08-21-17.529053.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": 0.027894295302013424,
|
| 706 |
+
"em_stderr": 0.0016863747631550056,
|
| 707 |
+
"f1": 0.09094588926174478,
|
| 708 |
+
"f1_stderr": 0.0021236742209429166,
|
| 709 |
+
"acc": 0.393149302914779,
|
| 710 |
+
"acc_stderr": 0.009302457480391348
|
| 711 |
+
},
|
| 712 |
+
"harness|drop|3": {
|
| 713 |
+
"em": 0.027894295302013424,
|
| 714 |
+
"em_stderr": 0.0016863747631550056,
|
| 715 |
+
"f1": 0.09094588926174478,
|
| 716 |
+
"f1_stderr": 0.0021236742209429166
|
| 717 |
+
},
|
| 718 |
+
"harness|gsm8k|5": {
|
| 719 |
+
"acc": 0.05307050796057619,
|
| 720 |
+
"acc_stderr": 0.006174868858638367
|
| 721 |
+
},
|
| 722 |
+
"harness|winogrande|5": {
|
| 723 |
+
"acc": 0.7332280978689818,
|
| 724 |
+
"acc_stderr": 0.01243004610214433
|
|
|
|
|
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| 725 |
}
|
| 726 |
}
|
| 727 |
```
|