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README.md
CHANGED
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@@ -3,8 +3,8 @@ pretty_name: Evaluation run of garage-bAInd/Platypus2-70B
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dataset_summary: "Dataset automatically created during the evaluation run of model\
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\ [garage-bAInd/Platypus2-70B](https://huggingface.co/garage-bAInd/Platypus2-70B)\
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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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@@ -12,171 +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_garage-bAInd__Platypus2-70B\"\
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,\n\t\"
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\ \"
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\
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: {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \
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\ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \
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\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.5925925925925926,\n\
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\ \"acc_stderr\": 0.04244633238353228,\n \"acc_norm\": 0.5925925925925926,\n\
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\ \"acc_norm_stderr\": 0.04244633238353228\n },\n \"harness|hendrycksTest-astronomy|5\"\
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: {\n \"acc\": 0.7697368421052632,\n \"acc_stderr\": 0.03426059424403165,\n\
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\ \"acc_norm\": 0.7697368421052632,\n \"acc_norm_stderr\": 0.03426059424403165\n\
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\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.72,\n\
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\ \"acc_stderr\": 0.04512608598542127,\n \"acc_norm\": 0.72,\n \
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\ \"acc_norm_stderr\": 0.04512608598542127\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
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: {\n \"acc\": 0.7283018867924528,\n \"acc_stderr\": 0.027377706624670713,\n\
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\ \"acc_norm\": 0.7283018867924528,\n \"acc_norm_stderr\": 0.027377706624670713\n\
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\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.8194444444444444,\n\
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\ \"acc_stderr\": 0.032166008088022675,\n \"acc_norm\": 0.8194444444444444,\n\
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\ \"acc_norm_stderr\": 0.032166008088022675\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
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: {\n \"acc\": 0.5,\n \"acc_stderr\": 0.050251890762960605,\n \
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\ \"acc_norm\": 0.5,\n \"acc_norm_stderr\": 0.050251890762960605\n \
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\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
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: 0.56,\n \"acc_stderr\": 0.04988876515698589,\n \"acc_norm\": 0.56,\n\
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\ \"acc_norm_stderr\": 0.04988876515698589\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
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: {\n \"acc\": 0.41,\n \"acc_stderr\": 0.049431107042371025,\n \
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\ \"acc_norm\": 0.41,\n \"acc_norm_stderr\": 0.049431107042371025\n \
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\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.7052023121387283,\n\
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\ \"acc_stderr\": 0.03476599607516478,\n \"acc_norm\": 0.7052023121387283,\n\
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\ \"acc_norm_stderr\": 0.03476599607516478\n },\n \"harness|hendrycksTest-college_physics|5\"\
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: {\n \"acc\": 0.30392156862745096,\n \"acc_stderr\": 0.045766654032077636,\n\
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\ \"acc_norm\": 0.30392156862745096,\n \"acc_norm_stderr\": 0.045766654032077636\n\
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\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
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\ 0.77,\n \"acc_stderr\": 0.04229525846816506,\n \"acc_norm\": 0.77,\n\
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\ \"acc_norm_stderr\": 0.04229525846816506\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
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: {\n \"acc\": 0.6723404255319149,\n \"acc_stderr\": 0.030683020843231008,\n\
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\ \"acc_norm\": 0.6723404255319149,\n \"acc_norm_stderr\": 0.030683020843231008\n\
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\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.5087719298245614,\n\
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\ \"acc_stderr\": 0.04702880432049615,\n \"acc_norm\": 0.5087719298245614,\n\
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\ \"acc_norm_stderr\": 0.04702880432049615\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
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: {\n \"acc\": 0.5655172413793104,\n \"acc_stderr\": 0.04130740879555498,\n\
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\ \"acc_norm\": 0.5655172413793104,\n \"acc_norm_stderr\": 0.04130740879555498\n\
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\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
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: 0.46296296296296297,\n \"acc_stderr\": 0.025680564640056882,\n \"\
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acc_norm\": 0.46296296296296297,\n \"acc_norm_stderr\": 0.025680564640056882\n\
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\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.5634920634920635,\n\
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\ \"acc_stderr\": 0.04435932892851466,\n \"acc_norm\": 0.5634920634920635,\n\
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\ \"acc_norm_stderr\": 0.04435932892851466\n },\n \"harness|hendrycksTest-global_facts|5\"\
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: {\n \"acc\": 0.45,\n \"acc_stderr\": 0.049999999999999996,\n \
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\ \"acc_norm\": 0.45,\n \"acc_norm_stderr\": 0.049999999999999996\n \
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\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\
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: 0.8096774193548387,\n \"acc_stderr\": 0.022331707611823078,\n \"\
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acc_norm\": 0.8096774193548387,\n \"acc_norm_stderr\": 0.022331707611823078\n\
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\ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\
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: 0.5714285714285714,\n \"acc_stderr\": 0.034819048444388045,\n \"\
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acc_norm\": 0.5714285714285714,\n \"acc_norm_stderr\": 0.034819048444388045\n\
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\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
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\ \"acc\": 0.74,\n \"acc_stderr\": 0.04408440022768078,\n \"acc_norm\"\
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: 0.74,\n \"acc_norm_stderr\": 0.04408440022768078\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
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: {\n \"acc\": 0.8666666666666667,\n \"acc_stderr\": 0.026544435312706467,\n\
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\ \"acc_norm\": 0.8666666666666667,\n \"acc_norm_stderr\": 0.026544435312706467\n\
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\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
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: 0.8737373737373737,\n \"acc_stderr\": 0.023664359402880236,\n \"\
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acc_norm\": 0.8737373737373737,\n \"acc_norm_stderr\": 0.023664359402880236\n\
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\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
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\ \"acc\": 0.9378238341968912,\n \"acc_stderr\": 0.017426974154240528,\n\
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\ \"acc_norm\": 0.9378238341968912,\n \"acc_norm_stderr\": 0.017426974154240528\n\
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\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
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\ \"acc\": 0.7153846153846154,\n \"acc_stderr\": 0.022878322799706294,\n\
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\ \"acc_norm\": 0.7153846153846154,\n \"acc_norm_stderr\": 0.022878322799706294\n\
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\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
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acc\": 0.3,\n \"acc_stderr\": 0.02794045713622842,\n \"acc_norm\"\
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: 0.3,\n \"acc_norm_stderr\": 0.02794045713622842\n },\n \"harness|hendrycksTest-high_school_microeconomics|5\"\
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: {\n \"acc\": 0.7941176470588235,\n \"acc_stderr\": 0.02626502460827588,\n\
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\ \"acc_norm\": 0.7941176470588235,\n \"acc_norm_stderr\": 0.02626502460827588\n\
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\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
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: 0.4768211920529801,\n \"acc_stderr\": 0.04078093859163084,\n \"\
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acc_norm\": 0.4768211920529801,\n \"acc_norm_stderr\": 0.04078093859163084\n\
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\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
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: 0.9009174311926605,\n \"acc_stderr\": 0.012809780081878922,\n \"\
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acc_norm\": 0.9009174311926605,\n \"acc_norm_stderr\": 0.012809780081878922\n\
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\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
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: 0.625,\n \"acc_stderr\": 0.033016908987210894,\n \"acc_norm\": 0.625,\n\
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\ \"acc_norm_stderr\": 0.033016908987210894\n },\n \"harness|hendrycksTest-high_school_us_history|5\"\
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: {\n \"acc\": 0.8823529411764706,\n \"acc_stderr\": 0.02261328660113202,\n\
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\ \"acc_norm\": 0.8823529411764706,\n \"acc_norm_stderr\": 0.02261328660113202\n\
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\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
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acc\": 0.9113924050632911,\n \"acc_stderr\": 0.018498315206865384,\n \
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\ \"acc_norm\": 0.9113924050632911,\n \"acc_norm_stderr\": 0.018498315206865384\n\
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\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.8026905829596412,\n\
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\ \"acc_stderr\": 0.02670985334496796,\n \"acc_norm\": 0.8026905829596412,\n\
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\ \"acc_norm_stderr\": 0.02670985334496796\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
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: {\n \"acc\": 0.8396946564885496,\n \"acc_stderr\": 0.03217829420744631,\n\
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\ \"acc_norm\": 0.8396946564885496,\n \"acc_norm_stderr\": 0.03217829420744631\n\
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\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
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\ 0.8760330578512396,\n \"acc_stderr\": 0.030083098716035216,\n \"\
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acc_norm\": 0.8760330578512396,\n \"acc_norm_stderr\": 0.030083098716035216\n\
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\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.8333333333333334,\n\
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\ \"acc_stderr\": 0.03602814176392645,\n \"acc_norm\": 0.8333333333333334,\n\
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\ \"acc_norm_stderr\": 0.03602814176392645\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
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: {\n \"acc\": 0.8098159509202454,\n \"acc_stderr\": 0.03083349114628123,\n\
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\ \"acc_norm\": 0.8098159509202454,\n \"acc_norm_stderr\": 0.03083349114628123\n\
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\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.6071428571428571,\n\
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\ \"acc_stderr\": 0.04635550135609976,\n \"acc_norm\": 0.6071428571428571,\n\
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\ \"acc_norm_stderr\": 0.04635550135609976\n },\n \"harness|hendrycksTest-management|5\"\
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: {\n \"acc\": 0.8349514563106796,\n \"acc_stderr\": 0.03675668832233188,\n\
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\ \"acc_norm\": 0.8349514563106796,\n \"acc_norm_stderr\": 0.03675668832233188\n\
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\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.905982905982906,\n\
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\ \"acc_stderr\": 0.01911989279892498,\n \"acc_norm\": 0.905982905982906,\n\
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\ \"acc_norm_stderr\": 0.01911989279892498\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
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: {\n \"acc\": 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \
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\ \"acc_norm\": 0.7,\n \"acc_norm_stderr\": 0.046056618647183814\n \
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\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8671775223499362,\n\
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\ \"acc_stderr\": 0.012136303209884564,\n \"acc_norm\": 0.8671775223499362,\n\
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\ \"acc_norm_stderr\": 0.012136303209884564\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
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: {\n \"acc\": 0.7687861271676301,\n \"acc_stderr\": 0.02269865716785571,\n\
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\ \"acc_norm\": 0.7687861271676301,\n \"acc_norm_stderr\": 0.02269865716785571\n\
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\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.5497206703910614,\n\
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\ \"acc_stderr\": 0.016639615236845814,\n \"acc_norm\": 0.5497206703910614,\n\
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\ \"acc_norm_stderr\": 0.016639615236845814\n },\n \"harness|hendrycksTest-nutrition|5\"\
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: {\n \"acc\": 0.7712418300653595,\n \"acc_stderr\": 0.024051029739912258,\n\
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\ \"acc_norm\": 0.7712418300653595,\n \"acc_norm_stderr\": 0.024051029739912258\n\
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\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7942122186495176,\n\
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\ \"acc_stderr\": 0.022961339906764244,\n \"acc_norm\": 0.7942122186495176,\n\
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\ \"acc_norm_stderr\": 0.022961339906764244\n },\n \"harness|hendrycksTest-prehistory|5\"\
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: {\n \"acc\": 0.8333333333333334,\n \"acc_stderr\": 0.02073635840806,\n\
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\ \"acc_norm\": 0.8333333333333334,\n \"acc_norm_stderr\": 0.02073635840806\n\
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\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
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acc\": 0.5354609929078015,\n \"acc_stderr\": 0.029752389657427054,\n \
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\ \"acc_norm\": 0.5354609929078015,\n \"acc_norm_stderr\": 0.029752389657427054\n\
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\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.5788787483702738,\n\
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\ \"acc_stderr\": 0.012610325733489903,\n \"acc_norm\": 0.5788787483702738,\n\
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\ \"acc_norm_stderr\": 0.012610325733489903\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
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: {\n \"acc\": 0.7205882352941176,\n \"acc_stderr\": 0.027257202606114948,\n\
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| 158 |
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\ \"acc_norm\": 0.7205882352941176,\n \"acc_norm_stderr\": 0.027257202606114948\n\
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\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
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acc\": 0.7647058823529411,\n \"acc_stderr\": 0.017160587235046352,\n \
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\ \"acc_norm\": 0.7647058823529411,\n \"acc_norm_stderr\": 0.017160587235046352\n\
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\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.7,\n\
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\ \"acc_stderr\": 0.04389311454644287,\n \"acc_norm\": 0.7,\n \
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\ \"acc_norm_stderr\": 0.04389311454644287\n },\n \"harness|hendrycksTest-security_studies|5\"\
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-
: {\n \"acc\": 0.7673469387755102,\n \"acc_stderr\": 0.02704925791589618,\n\
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\ \"acc_norm\": 0.7673469387755102,\n \"acc_norm_stderr\": 0.02704925791589618\n\
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\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8905472636815921,\n\
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| 168 |
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\ \"acc_stderr\": 0.022076326101824657,\n \"acc_norm\": 0.8905472636815921,\n\
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\ \"acc_norm_stderr\": 0.022076326101824657\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
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: {\n \"acc\": 0.91,\n \"acc_stderr\": 0.028762349126466125,\n \
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\ \"acc_norm\": 0.91,\n \"acc_norm_stderr\": 0.028762349126466125\n \
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\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5843373493975904,\n\
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\ \"acc_stderr\": 0.03836722176598052,\n \"acc_norm\": 0.5843373493975904,\n\
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\ \"acc_norm_stderr\": 0.03836722176598052\n },\n \"harness|hendrycksTest-world_religions|5\"\
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: {\n \"acc\": 0.8538011695906432,\n \"acc_stderr\": 0.027097290118070813,\n\
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\ \"acc_norm\": 0.8538011695906432,\n \"acc_norm_stderr\": 0.027097290118070813\n\
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\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.3598531211750306,\n\
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\ \"mc1_stderr\": 0.016801860466677147,\n \"mc2\": 0.5236510638735454,\n\
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\ \"mc2_stderr\": 0.01442896471620592\n }\n}\n```"
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repo_url: https://huggingface.co/garage-bAInd/Platypus2-70B
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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_2023-08-10T02:16:23.299080.parquet'
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- config_name: harness_hellaswag_10
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data_files:
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- split: 2023_08_10T02_16_23.299080
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- split: latest
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path:
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- '**/details_harness|truthfulqa:mc|0_2023-08-10T02:16:23.299080.parquet'
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- config_name: results
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data_files:
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- split: 2023_08_10T02_16_23.299080
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path:
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- results_2023-08-10T02:16:23.299080.parquet
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- split: latest
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path:
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-
- results_2023-
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---
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# Dataset Card for Evaluation run of garage-bAInd/Platypus2-70B
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Dataset automatically created during the evaluation run of model [garage-bAInd/Platypus2-70B](https://huggingface.co/garage-bAInd/Platypus2-70B) 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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```python
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from datasets import load_dataset
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data = load_dataset("open-llm-leaderboard/details_garage-bAInd__Platypus2-70B",
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"
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split="train")
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```
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## Latest results
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-
These are the [latest results from run 2023-
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```python
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{
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"all": {
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},
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"acc_norm": 0.34,
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},
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"harness|hendrycksTest-anatomy|5": {
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| 867 |
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| 869 |
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| 870 |
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| 1059 |
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| 1101 |
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| 1102 |
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| 1107 |
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| 1112 |
-
"acc_norm_stderr": 0.016639615236845814
|
| 1113 |
-
},
|
| 1114 |
-
"harness|hendrycksTest-nutrition|5": {
|
| 1115 |
-
"acc": 0.7712418300653595,
|
| 1116 |
-
"acc_stderr": 0.024051029739912258,
|
| 1117 |
-
"acc_norm": 0.7712418300653595,
|
| 1118 |
-
"acc_norm_stderr": 0.024051029739912258
|
| 1119 |
-
},
|
| 1120 |
-
"harness|hendrycksTest-philosophy|5": {
|
| 1121 |
-
"acc": 0.7942122186495176,
|
| 1122 |
-
"acc_stderr": 0.022961339906764244,
|
| 1123 |
-
"acc_norm": 0.7942122186495176,
|
| 1124 |
-
"acc_norm_stderr": 0.022961339906764244
|
| 1125 |
-
},
|
| 1126 |
-
"harness|hendrycksTest-prehistory|5": {
|
| 1127 |
-
"acc": 0.8333333333333334,
|
| 1128 |
-
"acc_stderr": 0.02073635840806,
|
| 1129 |
-
"acc_norm": 0.8333333333333334,
|
| 1130 |
-
"acc_norm_stderr": 0.02073635840806
|
| 1131 |
-
},
|
| 1132 |
-
"harness|hendrycksTest-professional_accounting|5": {
|
| 1133 |
-
"acc": 0.5354609929078015,
|
| 1134 |
-
"acc_stderr": 0.029752389657427054,
|
| 1135 |
-
"acc_norm": 0.5354609929078015,
|
| 1136 |
-
"acc_norm_stderr": 0.029752389657427054
|
| 1137 |
-
},
|
| 1138 |
-
"harness|hendrycksTest-professional_law|5": {
|
| 1139 |
-
"acc": 0.5788787483702738,
|
| 1140 |
-
"acc_stderr": 0.012610325733489903,
|
| 1141 |
-
"acc_norm": 0.5788787483702738,
|
| 1142 |
-
"acc_norm_stderr": 0.012610325733489903
|
| 1143 |
-
},
|
| 1144 |
-
"harness|hendrycksTest-professional_medicine|5": {
|
| 1145 |
-
"acc": 0.7205882352941176,
|
| 1146 |
-
"acc_stderr": 0.027257202606114948,
|
| 1147 |
-
"acc_norm": 0.7205882352941176,
|
| 1148 |
-
"acc_norm_stderr": 0.027257202606114948
|
| 1149 |
-
},
|
| 1150 |
-
"harness|hendrycksTest-professional_psychology|5": {
|
| 1151 |
-
"acc": 0.7647058823529411,
|
| 1152 |
-
"acc_stderr": 0.017160587235046352,
|
| 1153 |
-
"acc_norm": 0.7647058823529411,
|
| 1154 |
-
"acc_norm_stderr": 0.017160587235046352
|
| 1155 |
-
},
|
| 1156 |
-
"harness|hendrycksTest-public_relations|5": {
|
| 1157 |
-
"acc": 0.7,
|
| 1158 |
-
"acc_stderr": 0.04389311454644287,
|
| 1159 |
-
"acc_norm": 0.7,
|
| 1160 |
-
"acc_norm_stderr": 0.04389311454644287
|
| 1161 |
-
},
|
| 1162 |
-
"harness|hendrycksTest-security_studies|5": {
|
| 1163 |
-
"acc": 0.7673469387755102,
|
| 1164 |
-
"acc_stderr": 0.02704925791589618,
|
| 1165 |
-
"acc_norm": 0.7673469387755102,
|
| 1166 |
-
"acc_norm_stderr": 0.02704925791589618
|
| 1167 |
-
},
|
| 1168 |
-
"harness|hendrycksTest-sociology|5": {
|
| 1169 |
-
"acc": 0.8905472636815921,
|
| 1170 |
-
"acc_stderr": 0.022076326101824657,
|
| 1171 |
-
"acc_norm": 0.8905472636815921,
|
| 1172 |
-
"acc_norm_stderr": 0.022076326101824657
|
| 1173 |
-
},
|
| 1174 |
-
"harness|hendrycksTest-us_foreign_policy|5": {
|
| 1175 |
-
"acc": 0.91,
|
| 1176 |
-
"acc_stderr": 0.028762349126466125,
|
| 1177 |
-
"acc_norm": 0.91,
|
| 1178 |
-
"acc_norm_stderr": 0.028762349126466125
|
| 1179 |
-
},
|
| 1180 |
-
"harness|hendrycksTest-virology|5": {
|
| 1181 |
-
"acc": 0.5843373493975904,
|
| 1182 |
-
"acc_stderr": 0.03836722176598052,
|
| 1183 |
-
"acc_norm": 0.5843373493975904,
|
| 1184 |
-
"acc_norm_stderr": 0.03836722176598052
|
| 1185 |
-
},
|
| 1186 |
-
"harness|hendrycksTest-world_religions|5": {
|
| 1187 |
-
"acc": 0.8538011695906432,
|
| 1188 |
-
"acc_stderr": 0.027097290118070813,
|
| 1189 |
-
"acc_norm": 0.8538011695906432,
|
| 1190 |
-
"acc_norm_stderr": 0.027097290118070813
|
| 1191 |
-
},
|
| 1192 |
-
"harness|truthfulqa:mc|0": {
|
| 1193 |
-
"mc1": 0.3598531211750306,
|
| 1194 |
-
"mc1_stderr": 0.016801860466677147,
|
| 1195 |
-
"mc2": 0.5236510638735454,
|
| 1196 |
-
"mc2_stderr": 0.01442896471620592
|
| 1197 |
}
|
| 1198 |
}
|
| 1199 |
```
|
|
|
|
| 3 |
dataset_summary: "Dataset automatically created during the evaluation run of model\
|
| 4 |
\ [garage-bAInd/Platypus2-70B](https://huggingface.co/garage-bAInd/Platypus2-70B)\
|
| 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_garage-bAInd__Platypus2-70B\"\
|
| 15 |
+
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
|
| 16 |
+
These are the [latest results from run 2023-10-13T01:27:19.477950](https://huggingface.co/datasets/open-llm-leaderboard/details_garage-bAInd__Platypus2-70B/blob/main/results_2023-10-13T01-27-19.477950.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\": 0.4649748322147651,\n\
|
| 20 |
+
\ \"em_stderr\": 0.005107889346229416,\n \"f1\": 0.5141369546979866,\n\
|
| 21 |
+
\ \"f1_stderr\": 0.004846183113432682,\n \"acc\": 0.58713939251053,\n\
|
| 22 |
+
\ \"acc_stderr\": 0.011581424079479265\n },\n \"harness|drop|3\": {\n\
|
| 23 |
+
\ \"em\": 0.4649748322147651,\n \"em_stderr\": 0.005107889346229416,\n\
|
| 24 |
+
\ \"f1\": 0.5141369546979866,\n \"f1_stderr\": 0.004846183113432682\n\
|
| 25 |
+
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.3305534495830174,\n \
|
| 26 |
+
\ \"acc_stderr\": 0.012957496367085028\n },\n \"harness|winogrande|5\"\
|
| 27 |
+
: {\n \"acc\": 0.8437253354380426,\n \"acc_stderr\": 0.010205351791873502\n\
|
| 28 |
+
\ }\n}\n```"
|
|
|
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|
|
| 29 |
repo_url: https://huggingface.co/garage-bAInd/Platypus2-70B
|
| 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_2023-08-10T02:16:23.299080.parquet'
|
| 41 |
+
- config_name: harness_drop_3
|
| 42 |
+
data_files:
|
| 43 |
+
- split: 2023_10_13T01_27_19.477950
|
| 44 |
+
path:
|
| 45 |
+
- '**/details_harness|drop|3_2023-10-13T01-27-19.477950.parquet'
|
| 46 |
+
- split: latest
|
| 47 |
+
path:
|
| 48 |
+
- '**/details_harness|drop|3_2023-10-13T01-27-19.477950.parquet'
|
| 49 |
+
- config_name: harness_gsm8k_5
|
| 50 |
+
data_files:
|
| 51 |
+
- split: 2023_10_13T01_27_19.477950
|
| 52 |
+
path:
|
| 53 |
+
- '**/details_harness|gsm8k|5_2023-10-13T01-27-19.477950.parquet'
|
| 54 |
+
- split: latest
|
| 55 |
+
path:
|
| 56 |
+
- '**/details_harness|gsm8k|5_2023-10-13T01-27-19.477950.parquet'
|
| 57 |
- config_name: harness_hellaswag_10
|
| 58 |
data_files:
|
| 59 |
- split: 2023_08_10T02_16_23.299080
|
|
|
|
| 646 |
- split: latest
|
| 647 |
path:
|
| 648 |
- '**/details_harness|truthfulqa:mc|0_2023-08-10T02:16:23.299080.parquet'
|
| 649 |
+
- config_name: harness_winogrande_5
|
| 650 |
+
data_files:
|
| 651 |
+
- split: 2023_10_13T01_27_19.477950
|
| 652 |
+
path:
|
| 653 |
+
- '**/details_harness|winogrande|5_2023-10-13T01-27-19.477950.parquet'
|
| 654 |
+
- split: latest
|
| 655 |
+
path:
|
| 656 |
+
- '**/details_harness|winogrande|5_2023-10-13T01-27-19.477950.parquet'
|
| 657 |
- config_name: results
|
| 658 |
data_files:
|
| 659 |
- split: 2023_08_10T02_16_23.299080
|
| 660 |
path:
|
| 661 |
- results_2023-08-10T02:16:23.299080.parquet
|
| 662 |
+
- split: 2023_10_13T01_27_19.477950
|
| 663 |
+
path:
|
| 664 |
+
- results_2023-10-13T01-27-19.477950.parquet
|
| 665 |
- split: latest
|
| 666 |
path:
|
| 667 |
+
- results_2023-10-13T01-27-19.477950.parquet
|
| 668 |
---
|
| 669 |
|
| 670 |
# Dataset Card for Evaluation run of garage-bAInd/Platypus2-70B
|
|
|
|
| 681 |
|
| 682 |
Dataset automatically created during the evaluation run of model [garage-bAInd/Platypus2-70B](https://huggingface.co/garage-bAInd/Platypus2-70B) 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_garage-bAInd__Platypus2-70B",
|
| 694 |
+
"harness_winogrande_5",
|
| 695 |
split="train")
|
| 696 |
```
|
| 697 |
|
| 698 |
## Latest results
|
| 699 |
|
| 700 |
+
These are the [latest results from run 2023-10-13T01:27:19.477950](https://huggingface.co/datasets/open-llm-leaderboard/details_garage-bAInd__Platypus2-70B/blob/main/results_2023-10-13T01-27-19.477950.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": 0.4649748322147651,
|
| 706 |
+
"em_stderr": 0.005107889346229416,
|
| 707 |
+
"f1": 0.5141369546979866,
|
| 708 |
+
"f1_stderr": 0.004846183113432682,
|
| 709 |
+
"acc": 0.58713939251053,
|
| 710 |
+
"acc_stderr": 0.011581424079479265
|
| 711 |
+
},
|
| 712 |
+
"harness|drop|3": {
|
| 713 |
+
"em": 0.4649748322147651,
|
| 714 |
+
"em_stderr": 0.005107889346229416,
|
| 715 |
+
"f1": 0.5141369546979866,
|
| 716 |
+
"f1_stderr": 0.004846183113432682
|
| 717 |
+
},
|
| 718 |
+
"harness|gsm8k|5": {
|
| 719 |
+
"acc": 0.3305534495830174,
|
| 720 |
+
"acc_stderr": 0.012957496367085028
|
| 721 |
+
},
|
| 722 |
+
"harness|winogrande|5": {
|
| 723 |
+
"acc": 0.8437253354380426,
|
| 724 |
+
"acc_stderr": 0.010205351791873502
|
|
|
|
|
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| 725 |
}
|
| 726 |
}
|
| 727 |
```
|