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Upload README.md with huggingface_hub
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README.md
CHANGED
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@@ -3,8 +3,8 @@ pretty_name: Evaluation run of Open-Orca/Mistral-7B-SlimOrca
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dataset_summary: "Dataset automatically created during the evaluation run of model\
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\ [Open-Orca/Mistral-7B-SlimOrca](https://huggingface.co/Open-Orca/Mistral-7B-SlimOrca)\
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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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@@ -12,173 +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_Open-Orca__Mistral-7B-SlimOrca\"\
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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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\
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\ \"
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\
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: {\n \"acc\": 0.29,\n \"acc_stderr\": 0.045604802157206845,\n \
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\ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.045604802157206845\n \
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\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.5703703703703704,\n\
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\ \"acc_stderr\": 0.042763494943766,\n \"acc_norm\": 0.5703703703703704,\n\
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\ \"acc_norm_stderr\": 0.042763494943766\n },\n \"harness|hendrycksTest-astronomy|5\"\
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: {\n \"acc\": 0.7039473684210527,\n \"acc_stderr\": 0.037150621549989056,\n\
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\ \"acc_norm\": 0.7039473684210527,\n \"acc_norm_stderr\": 0.037150621549989056\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\": 0.7056603773584905,\n \"acc_stderr\": 0.028049186315695255,\n\
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\ \"acc_norm\": 0.7056603773584905,\n \"acc_norm_stderr\": 0.028049186315695255\n\
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\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7361111111111112,\n\
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\ \"acc_stderr\": 0.03685651095897532,\n \"acc_norm\": 0.7361111111111112,\n\
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\ \"acc_norm_stderr\": 0.03685651095897532\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
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: {\n \"acc\": 0.48,\n \"acc_stderr\": 0.050211673156867795,\n \
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\ \"acc_norm\": 0.48,\n \"acc_norm_stderr\": 0.050211673156867795\n \
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\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\
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acc\": 0.49,\n \"acc_stderr\": 0.05024183937956911,\n \"acc_norm\"\
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: 0.49,\n \"acc_norm_stderr\": 0.05024183937956911\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
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: {\n \"acc\": 0.37,\n \"acc_stderr\": 0.04852365870939098,\n \
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\ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.04852365870939098\n \
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\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6069364161849711,\n\
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\ \"acc_stderr\": 0.0372424959581773,\n \"acc_norm\": 0.6069364161849711,\n\
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\ \"acc_norm_stderr\": 0.0372424959581773\n },\n \"harness|hendrycksTest-college_physics|5\"\
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: {\n \"acc\": 0.4117647058823529,\n \"acc_stderr\": 0.04897104952726366,\n\
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\ \"acc_norm\": 0.4117647058823529,\n \"acc_norm_stderr\": 0.04897104952726366\n\
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\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
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\ 0.79,\n \"acc_stderr\": 0.04093601807403326,\n \"acc_norm\": 0.79,\n\
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\ \"acc_norm_stderr\": 0.04093601807403326\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
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: {\n \"acc\": 0.5659574468085107,\n \"acc_stderr\": 0.03240038086792747,\n\
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\ \"acc_norm\": 0.5659574468085107,\n \"acc_norm_stderr\": 0.03240038086792747\n\
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\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.5175438596491229,\n\
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\ \"acc_stderr\": 0.04700708033551038,\n \"acc_norm\": 0.5175438596491229,\n\
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\ \"acc_norm_stderr\": 0.04700708033551038\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
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: {\n \"acc\": 0.5517241379310345,\n \"acc_stderr\": 0.04144311810878151,\n\
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\ \"acc_norm\": 0.5517241379310345,\n \"acc_norm_stderr\": 0.04144311810878151\n\
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\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
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: 0.4074074074074074,\n \"acc_stderr\": 0.02530590624159063,\n \"\
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acc_norm\": 0.4074074074074074,\n \"acc_norm_stderr\": 0.02530590624159063\n\
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\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.4444444444444444,\n\
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\ \"acc_stderr\": 0.044444444444444495,\n \"acc_norm\": 0.4444444444444444,\n\
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\ \"acc_norm_stderr\": 0.044444444444444495\n },\n \"harness|hendrycksTest-global_facts|5\"\
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: {\n \"acc\": 0.26,\n \"acc_stderr\": 0.044084400227680794,\n \
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\ \"acc_norm\": 0.26,\n \"acc_norm_stderr\": 0.044084400227680794\n \
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\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\
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: 0.7741935483870968,\n \"acc_stderr\": 0.023785577884181012,\n \"\
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acc_norm\": 0.7741935483870968,\n \"acc_norm_stderr\": 0.023785577884181012\n\
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\ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\
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: 0.458128078817734,\n \"acc_stderr\": 0.03505630140785741,\n \"acc_norm\"\
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: 0.458128078817734,\n \"acc_norm_stderr\": 0.03505630140785741\n },\n\
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\ \"harness|hendrycksTest-high_school_computer_science|5\": {\n \"acc\"\
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: 0.67,\n \"acc_stderr\": 0.04725815626252607,\n \"acc_norm\": 0.67,\n\
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\ \"acc_norm_stderr\": 0.04725815626252607\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
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: {\n \"acc\": 0.7757575757575758,\n \"acc_stderr\": 0.03256866661681102,\n\
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\ \"acc_norm\": 0.7757575757575758,\n \"acc_norm_stderr\": 0.03256866661681102\n\
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\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
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: 0.7575757575757576,\n \"acc_stderr\": 0.03053289223393202,\n \"\
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acc_norm\": 0.7575757575757576,\n \"acc_norm_stderr\": 0.03053289223393202\n\
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\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
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\ \"acc\": 0.8756476683937824,\n \"acc_stderr\": 0.02381447708659356,\n\
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\ \"acc_norm\": 0.8756476683937824,\n \"acc_norm_stderr\": 0.02381447708659356\n\
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\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
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\ \"acc\": 0.6076923076923076,\n \"acc_stderr\": 0.024756000382130952,\n\
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\ \"acc_norm\": 0.6076923076923076,\n \"acc_norm_stderr\": 0.024756000382130952\n\
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\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
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acc\": 0.35185185185185186,\n \"acc_stderr\": 0.029116617606083015,\n \
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\ \"acc_norm\": 0.35185185185185186,\n \"acc_norm_stderr\": 0.029116617606083015\n\
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\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
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\ \"acc\": 0.6428571428571429,\n \"acc_stderr\": 0.031124619309328177,\n\
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\ \"acc_norm\": 0.6428571428571429,\n \"acc_norm_stderr\": 0.031124619309328177\n\
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\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
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: 0.33112582781456956,\n \"acc_stderr\": 0.038425817186598696,\n \"\
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acc_norm\": 0.33112582781456956,\n \"acc_norm_stderr\": 0.038425817186598696\n\
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\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
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: 0.8275229357798165,\n \"acc_stderr\": 0.016197807956848054,\n \"\
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acc_norm\": 0.8275229357798165,\n \"acc_norm_stderr\": 0.016197807956848054\n\
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\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
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: 0.4444444444444444,\n \"acc_stderr\": 0.03388857118502326,\n \"\
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acc_norm\": 0.4444444444444444,\n \"acc_norm_stderr\": 0.03388857118502326\n\
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\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
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: 0.8186274509803921,\n \"acc_stderr\": 0.027044621719474082,\n \"\
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| 111 |
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acc_norm\": 0.8186274509803921,\n \"acc_norm_stderr\": 0.027044621719474082\n\
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\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
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acc\": 0.7805907172995781,\n \"acc_stderr\": 0.026939106581553945,\n \
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\ \"acc_norm\": 0.7805907172995781,\n \"acc_norm_stderr\": 0.026939106581553945\n\
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\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6681614349775785,\n\
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\ \"acc_stderr\": 0.03160295143776679,\n \"acc_norm\": 0.6681614349775785,\n\
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\ \"acc_norm_stderr\": 0.03160295143776679\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
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: {\n \"acc\": 0.7480916030534351,\n \"acc_stderr\": 0.03807387116306085,\n\
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\ \"acc_norm\": 0.7480916030534351,\n \"acc_norm_stderr\": 0.03807387116306085\n\
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\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
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\ 0.7933884297520661,\n \"acc_stderr\": 0.036959801280988226,\n \"\
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acc_norm\": 0.7933884297520661,\n \"acc_norm_stderr\": 0.036959801280988226\n\
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\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7962962962962963,\n\
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\ \"acc_stderr\": 0.03893542518824847,\n \"acc_norm\": 0.7962962962962963,\n\
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\ \"acc_norm_stderr\": 0.03893542518824847\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
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: {\n \"acc\": 0.7668711656441718,\n \"acc_stderr\": 0.0332201579577674,\n\
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\ \"acc_norm\": 0.7668711656441718,\n \"acc_norm_stderr\": 0.0332201579577674\n\
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| 128 |
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\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.5267857142857143,\n\
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\ \"acc_stderr\": 0.047389751192741546,\n \"acc_norm\": 0.5267857142857143,\n\
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\ \"acc_norm_stderr\": 0.047389751192741546\n },\n \"harness|hendrycksTest-management|5\"\
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: {\n \"acc\": 0.7572815533980582,\n \"acc_stderr\": 0.04245022486384495,\n\
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\ \"acc_norm\": 0.7572815533980582,\n \"acc_norm_stderr\": 0.04245022486384495\n\
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\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8589743589743589,\n\
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\ \"acc_stderr\": 0.022801382534597528,\n \"acc_norm\": 0.8589743589743589,\n\
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\ \"acc_norm_stderr\": 0.022801382534597528\n },\n \"harness|hendrycksTest-medical_genetics|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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| 138 |
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\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8173690932311622,\n\
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| 139 |
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\ \"acc_stderr\": 0.013816335389973136,\n \"acc_norm\": 0.8173690932311622,\n\
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| 140 |
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\ \"acc_norm_stderr\": 0.013816335389973136\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
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| 141 |
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: {\n \"acc\": 0.6936416184971098,\n \"acc_stderr\": 0.024818350129436607,\n\
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\ \"acc_norm\": 0.6936416184971098,\n \"acc_norm_stderr\": 0.024818350129436607\n\
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\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.3340782122905028,\n\
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\ \"acc_stderr\": 0.015774911422381636,\n \"acc_norm\": 0.3340782122905028,\n\
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| 145 |
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\ \"acc_norm_stderr\": 0.015774911422381636\n },\n \"harness|hendrycksTest-nutrition|5\"\
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| 146 |
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: {\n \"acc\": 0.7222222222222222,\n \"acc_stderr\": 0.025646863097137904,\n\
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\ \"acc_norm\": 0.7222222222222222,\n \"acc_norm_stderr\": 0.025646863097137904\n\
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| 148 |
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\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.684887459807074,\n\
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| 149 |
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\ \"acc_stderr\": 0.026385273703464485,\n \"acc_norm\": 0.684887459807074,\n\
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| 150 |
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\ \"acc_norm_stderr\": 0.026385273703464485\n },\n \"harness|hendrycksTest-prehistory|5\"\
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: {\n \"acc\": 0.7345679012345679,\n \"acc_stderr\": 0.024569223600460845,\n\
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| 152 |
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\ \"acc_norm\": 0.7345679012345679,\n \"acc_norm_stderr\": 0.024569223600460845\n\
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\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
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| 154 |
-
acc\": 0.4645390070921986,\n \"acc_stderr\": 0.029752389657427054,\n \
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| 155 |
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\ \"acc_norm\": 0.4645390070921986,\n \"acc_norm_stderr\": 0.029752389657427054\n\
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\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4511082138200782,\n\
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| 157 |
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\ \"acc_stderr\": 0.012709037347346233,\n \"acc_norm\": 0.4511082138200782,\n\
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| 158 |
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\ \"acc_norm_stderr\": 0.012709037347346233\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
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| 159 |
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: {\n \"acc\": 0.6286764705882353,\n \"acc_stderr\": 0.02934980313976587,\n\
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| 160 |
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\ \"acc_norm\": 0.6286764705882353,\n \"acc_norm_stderr\": 0.02934980313976587\n\
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| 161 |
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\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
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| 162 |
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acc\": 0.6437908496732027,\n \"acc_stderr\": 0.019373332420724507,\n \
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| 163 |
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\ \"acc_norm\": 0.6437908496732027,\n \"acc_norm_stderr\": 0.019373332420724507\n\
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\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6636363636363637,\n\
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| 165 |
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\ \"acc_stderr\": 0.04525393596302506,\n \"acc_norm\": 0.6636363636363637,\n\
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\ \"acc_norm_stderr\": 0.04525393596302506\n },\n \"harness|hendrycksTest-security_studies|5\"\
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| 167 |
-
: {\n \"acc\": 0.7224489795918367,\n \"acc_stderr\": 0.028666857790274648,\n\
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| 168 |
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\ \"acc_norm\": 0.7224489795918367,\n \"acc_norm_stderr\": 0.028666857790274648\n\
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| 169 |
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\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8308457711442786,\n\
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| 170 |
-
\ \"acc_stderr\": 0.02650859065623327,\n \"acc_norm\": 0.8308457711442786,\n\
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| 171 |
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\ \"acc_norm_stderr\": 0.02650859065623327\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
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| 172 |
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: {\n \"acc\": 0.81,\n \"acc_stderr\": 0.03942772444036622,\n \
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| 173 |
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\ \"acc_norm\": 0.81,\n \"acc_norm_stderr\": 0.03942772444036622\n \
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\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5240963855421686,\n\
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| 175 |
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\ \"acc_stderr\": 0.03887971849597264,\n \"acc_norm\": 0.5240963855421686,\n\
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| 176 |
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\ \"acc_norm_stderr\": 0.03887971849597264\n },\n \"harness|hendrycksTest-world_religions|5\"\
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-
: {\n \"acc\": 0.8187134502923976,\n \"acc_stderr\": 0.029547741687640044,\n\
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| 178 |
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\ \"acc_norm\": 0.8187134502923976,\n \"acc_norm_stderr\": 0.029547741687640044\n\
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\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.3733170134638923,\n\
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\ \"mc1_stderr\": 0.01693237055757063,\n \"mc2\": 0.5423095709094117,\n\
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\ \"mc2_stderr\": 0.015530220720511245\n }\n}\n```"
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repo_url: https://huggingface.co/Open-Orca/Mistral-7B-SlimOrca
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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_2023-10-11T03-20-03.477959.parquet'
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- config_name: harness_hellaswag_10
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data_files:
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- split: 2023_10_11T03_20_03.477959
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@@ -783,14 +646,25 @@ configs:
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- split: latest
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path:
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- '**/details_harness|truthfulqa:mc|0_2023-10-11T03-20-03.477959.parquet'
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- config_name: results
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data_files:
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- split: 2023_10_11T03_20_03.477959
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| 789 |
path:
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- results_2023-10-11T03-20-03.477959.parquet
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- split: latest
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path:
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-
- results_2023-10-
|
| 794 |
---
|
| 795 |
|
| 796 |
# Dataset Card for Evaluation run of Open-Orca/Mistral-7B-SlimOrca
|
|
@@ -807,9 +681,9 @@ configs:
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|
| 807 |
|
| 808 |
Dataset automatically created during the evaluation run of model [Open-Orca/Mistral-7B-SlimOrca](https://huggingface.co/Open-Orca/Mistral-7B-SlimOrca) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
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| 809 |
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-
The dataset is composed of
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| 811 |
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-
The dataset has been created from
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| 813 |
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| 814 |
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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| 815 |
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@@ -817,385 +691,37 @@ To load the details from a run, you can for instance do the following:
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|
| 817 |
```python
|
| 818 |
from datasets import load_dataset
|
| 819 |
data = load_dataset("open-llm-leaderboard/details_Open-Orca__Mistral-7B-SlimOrca",
|
| 820 |
-
"
|
| 821 |
split="train")
|
| 822 |
```
|
| 823 |
|
| 824 |
## Latest results
|
| 825 |
|
| 826 |
-
These are the [latest results from run 2023-10-
|
| 827 |
|
| 828 |
```python
|
| 829 |
{
|
| 830 |
"all": {
|
| 831 |
-
"
|
| 832 |
-
"
|
| 833 |
-
"
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-
"
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-
"
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-
"
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-
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-
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-
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-
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-
"
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-
"
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-
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-
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-
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-
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-
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-
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-
"
|
| 850 |
-
"
|
| 851 |
-
},
|
| 852 |
-
"harness|hendrycksTest-abstract_algebra|5": {
|
| 853 |
-
"acc": 0.29,
|
| 854 |
-
"acc_stderr": 0.045604802157206845,
|
| 855 |
-
"acc_norm": 0.29,
|
| 856 |
-
"acc_norm_stderr": 0.045604802157206845
|
| 857 |
-
},
|
| 858 |
-
"harness|hendrycksTest-anatomy|5": {
|
| 859 |
-
"acc": 0.5703703703703704,
|
| 860 |
-
"acc_stderr": 0.042763494943766,
|
| 861 |
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"acc_norm": 0.5703703703703704,
|
| 862 |
-
"acc_norm_stderr": 0.042763494943766
|
| 863 |
-
},
|
| 864 |
-
"harness|hendrycksTest-astronomy|5": {
|
| 865 |
-
"acc": 0.7039473684210527,
|
| 866 |
-
"acc_stderr": 0.037150621549989056,
|
| 867 |
-
"acc_norm": 0.7039473684210527,
|
| 868 |
-
"acc_norm_stderr": 0.037150621549989056
|
| 869 |
-
},
|
| 870 |
-
"harness|hendrycksTest-business_ethics|5": {
|
| 871 |
-
"acc": 0.61,
|
| 872 |
-
"acc_stderr": 0.04902071300001975,
|
| 873 |
-
"acc_norm": 0.61,
|
| 874 |
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"acc_norm_stderr": 0.04902071300001975
|
| 875 |
-
},
|
| 876 |
-
"harness|hendrycksTest-clinical_knowledge|5": {
|
| 877 |
-
"acc": 0.7056603773584905,
|
| 878 |
-
"acc_stderr": 0.028049186315695255,
|
| 879 |
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"acc_norm": 0.7056603773584905,
|
| 880 |
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"acc_norm_stderr": 0.028049186315695255
|
| 881 |
-
},
|
| 882 |
-
"harness|hendrycksTest-college_biology|5": {
|
| 883 |
-
"acc": 0.7361111111111112,
|
| 884 |
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|
| 885 |
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"acc_norm": 0.7361111111111112,
|
| 886 |
-
"acc_norm_stderr": 0.03685651095897532
|
| 887 |
-
},
|
| 888 |
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"harness|hendrycksTest-college_chemistry|5": {
|
| 889 |
-
"acc": 0.48,
|
| 890 |
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"acc_stderr": 0.050211673156867795,
|
| 891 |
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"acc_norm": 0.48,
|
| 892 |
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"acc_norm_stderr": 0.050211673156867795
|
| 893 |
-
},
|
| 894 |
-
"harness|hendrycksTest-college_computer_science|5": {
|
| 895 |
-
"acc": 0.49,
|
| 896 |
-
"acc_stderr": 0.05024183937956911,
|
| 897 |
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"acc_norm": 0.49,
|
| 898 |
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"acc_norm_stderr": 0.05024183937956911
|
| 899 |
-
},
|
| 900 |
-
"harness|hendrycksTest-college_mathematics|5": {
|
| 901 |
-
"acc": 0.37,
|
| 902 |
-
"acc_stderr": 0.04852365870939098,
|
| 903 |
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"acc_norm": 0.37,
|
| 904 |
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"acc_norm_stderr": 0.04852365870939098
|
| 905 |
-
},
|
| 906 |
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"harness|hendrycksTest-college_medicine|5": {
|
| 907 |
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"acc": 0.6069364161849711,
|
| 908 |
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"acc_stderr": 0.0372424959581773,
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| 909 |
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"acc_norm": 0.6069364161849711,
|
| 910 |
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"acc_norm_stderr": 0.0372424959581773
|
| 911 |
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},
|
| 912 |
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"harness|hendrycksTest-college_physics|5": {
|
| 913 |
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"acc": 0.4117647058823529,
|
| 914 |
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| 915 |
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"acc_norm": 0.4117647058823529,
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| 916 |
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| 917 |
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},
|
| 918 |
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"harness|hendrycksTest-computer_security|5": {
|
| 919 |
-
"acc": 0.79,
|
| 920 |
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|
| 921 |
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"acc_norm": 0.79,
|
| 922 |
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"acc_norm_stderr": 0.04093601807403326
|
| 923 |
-
},
|
| 924 |
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"harness|hendrycksTest-conceptual_physics|5": {
|
| 925 |
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"acc": 0.5659574468085107,
|
| 926 |
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| 927 |
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| 928 |
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|
| 929 |
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},
|
| 930 |
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"harness|hendrycksTest-econometrics|5": {
|
| 931 |
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|
| 932 |
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| 934 |
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|
| 935 |
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},
|
| 936 |
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|
| 937 |
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| 938 |
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|
| 941 |
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},
|
| 942 |
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"harness|hendrycksTest-elementary_mathematics|5": {
|
| 943 |
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| 947 |
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},
|
| 948 |
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|
| 949 |
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|
| 950 |
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| 951 |
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|
| 952 |
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|
| 953 |
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},
|
| 954 |
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"harness|hendrycksTest-global_facts|5": {
|
| 955 |
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"acc": 0.26,
|
| 956 |
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| 957 |
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| 959 |
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| 960 |
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|
| 961 |
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| 962 |
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| 965 |
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| 966 |
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| 967 |
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| 968 |
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| 970 |
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| 971 |
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| 972 |
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| 974 |
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| 977 |
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},
|
| 978 |
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"harness|hendrycksTest-high_school_european_history|5": {
|
| 979 |
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| 980 |
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| 982 |
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|
| 983 |
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},
|
| 984 |
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|
| 985 |
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| 986 |
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| 988 |
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|
| 989 |
-
},
|
| 990 |
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"harness|hendrycksTest-high_school_government_and_politics|5": {
|
| 991 |
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|
| 992 |
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| 994 |
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| 995 |
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},
|
| 996 |
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"harness|hendrycksTest-high_school_macroeconomics|5": {
|
| 997 |
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|
| 998 |
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| 999 |
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| 1000 |
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|
| 1001 |
-
},
|
| 1002 |
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|
| 1003 |
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| 1004 |
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| 1006 |
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|
| 1007 |
-
},
|
| 1008 |
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"harness|hendrycksTest-high_school_microeconomics|5": {
|
| 1009 |
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| 1010 |
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| 1012 |
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|
| 1013 |
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},
|
| 1014 |
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|
| 1015 |
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|
| 1016 |
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| 1018 |
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|
| 1019 |
-
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|
| 1020 |
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|
| 1021 |
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|
| 1022 |
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|
| 1024 |
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|
| 1025 |
-
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|
| 1026 |
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|
| 1027 |
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|
| 1028 |
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|
| 1029 |
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|
| 1030 |
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|
| 1031 |
-
},
|
| 1032 |
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"harness|hendrycksTest-high_school_us_history|5": {
|
| 1033 |
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|
| 1034 |
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| 1035 |
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|
| 1036 |
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|
| 1037 |
-
},
|
| 1038 |
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"harness|hendrycksTest-high_school_world_history|5": {
|
| 1039 |
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|
| 1040 |
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| 1042 |
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|
| 1043 |
-
},
|
| 1044 |
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|
| 1045 |
-
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|
| 1046 |
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| 1048 |
-
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|
| 1049 |
-
},
|
| 1050 |
-
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|
| 1051 |
-
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|
| 1052 |
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|
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|
| 1054 |
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|
| 1055 |
-
},
|
| 1056 |
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|
| 1057 |
-
"acc": 0.7933884297520661,
|
| 1058 |
-
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| 1059 |
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|
| 1060 |
-
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|
| 1061 |
-
},
|
| 1062 |
-
"harness|hendrycksTest-jurisprudence|5": {
|
| 1063 |
-
"acc": 0.7962962962962963,
|
| 1064 |
-
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| 1065 |
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|
| 1066 |
-
"acc_norm_stderr": 0.03893542518824847
|
| 1067 |
-
},
|
| 1068 |
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"harness|hendrycksTest-logical_fallacies|5": {
|
| 1069 |
-
"acc": 0.7668711656441718,
|
| 1070 |
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|
| 1071 |
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|
| 1072 |
-
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|
| 1073 |
-
},
|
| 1074 |
-
"harness|hendrycksTest-machine_learning|5": {
|
| 1075 |
-
"acc": 0.5267857142857143,
|
| 1076 |
-
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|
| 1077 |
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"acc_norm": 0.5267857142857143,
|
| 1078 |
-
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|
| 1079 |
-
},
|
| 1080 |
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"harness|hendrycksTest-management|5": {
|
| 1081 |
-
"acc": 0.7572815533980582,
|
| 1082 |
-
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|
| 1083 |
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| 1084 |
-
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|
| 1085 |
-
},
|
| 1086 |
-
"harness|hendrycksTest-marketing|5": {
|
| 1087 |
-
"acc": 0.8589743589743589,
|
| 1088 |
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| 1089 |
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|
| 1090 |
-
"acc_norm_stderr": 0.022801382534597528
|
| 1091 |
-
},
|
| 1092 |
-
"harness|hendrycksTest-medical_genetics|5": {
|
| 1093 |
-
"acc": 0.69,
|
| 1094 |
-
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|
| 1095 |
-
"acc_norm": 0.69,
|
| 1096 |
-
"acc_norm_stderr": 0.04648231987117316
|
| 1097 |
-
},
|
| 1098 |
-
"harness|hendrycksTest-miscellaneous|5": {
|
| 1099 |
-
"acc": 0.8173690932311622,
|
| 1100 |
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"acc_stderr": 0.013816335389973136,
|
| 1101 |
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"acc_norm": 0.8173690932311622,
|
| 1102 |
-
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|
| 1103 |
-
},
|
| 1104 |
-
"harness|hendrycksTest-moral_disputes|5": {
|
| 1105 |
-
"acc": 0.6936416184971098,
|
| 1106 |
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| 1107 |
-
"acc_norm": 0.6936416184971098,
|
| 1108 |
-
"acc_norm_stderr": 0.024818350129436607
|
| 1109 |
-
},
|
| 1110 |
-
"harness|hendrycksTest-moral_scenarios|5": {
|
| 1111 |
-
"acc": 0.3340782122905028,
|
| 1112 |
-
"acc_stderr": 0.015774911422381636,
|
| 1113 |
-
"acc_norm": 0.3340782122905028,
|
| 1114 |
-
"acc_norm_stderr": 0.015774911422381636
|
| 1115 |
-
},
|
| 1116 |
-
"harness|hendrycksTest-nutrition|5": {
|
| 1117 |
-
"acc": 0.7222222222222222,
|
| 1118 |
-
"acc_stderr": 0.025646863097137904,
|
| 1119 |
-
"acc_norm": 0.7222222222222222,
|
| 1120 |
-
"acc_norm_stderr": 0.025646863097137904
|
| 1121 |
-
},
|
| 1122 |
-
"harness|hendrycksTest-philosophy|5": {
|
| 1123 |
-
"acc": 0.684887459807074,
|
| 1124 |
-
"acc_stderr": 0.026385273703464485,
|
| 1125 |
-
"acc_norm": 0.684887459807074,
|
| 1126 |
-
"acc_norm_stderr": 0.026385273703464485
|
| 1127 |
-
},
|
| 1128 |
-
"harness|hendrycksTest-prehistory|5": {
|
| 1129 |
-
"acc": 0.7345679012345679,
|
| 1130 |
-
"acc_stderr": 0.024569223600460845,
|
| 1131 |
-
"acc_norm": 0.7345679012345679,
|
| 1132 |
-
"acc_norm_stderr": 0.024569223600460845
|
| 1133 |
-
},
|
| 1134 |
-
"harness|hendrycksTest-professional_accounting|5": {
|
| 1135 |
-
"acc": 0.4645390070921986,
|
| 1136 |
-
"acc_stderr": 0.029752389657427054,
|
| 1137 |
-
"acc_norm": 0.4645390070921986,
|
| 1138 |
-
"acc_norm_stderr": 0.029752389657427054
|
| 1139 |
-
},
|
| 1140 |
-
"harness|hendrycksTest-professional_law|5": {
|
| 1141 |
-
"acc": 0.4511082138200782,
|
| 1142 |
-
"acc_stderr": 0.012709037347346233,
|
| 1143 |
-
"acc_norm": 0.4511082138200782,
|
| 1144 |
-
"acc_norm_stderr": 0.012709037347346233
|
| 1145 |
-
},
|
| 1146 |
-
"harness|hendrycksTest-professional_medicine|5": {
|
| 1147 |
-
"acc": 0.6286764705882353,
|
| 1148 |
-
"acc_stderr": 0.02934980313976587,
|
| 1149 |
-
"acc_norm": 0.6286764705882353,
|
| 1150 |
-
"acc_norm_stderr": 0.02934980313976587
|
| 1151 |
-
},
|
| 1152 |
-
"harness|hendrycksTest-professional_psychology|5": {
|
| 1153 |
-
"acc": 0.6437908496732027,
|
| 1154 |
-
"acc_stderr": 0.019373332420724507,
|
| 1155 |
-
"acc_norm": 0.6437908496732027,
|
| 1156 |
-
"acc_norm_stderr": 0.019373332420724507
|
| 1157 |
-
},
|
| 1158 |
-
"harness|hendrycksTest-public_relations|5": {
|
| 1159 |
-
"acc": 0.6636363636363637,
|
| 1160 |
-
"acc_stderr": 0.04525393596302506,
|
| 1161 |
-
"acc_norm": 0.6636363636363637,
|
| 1162 |
-
"acc_norm_stderr": 0.04525393596302506
|
| 1163 |
-
},
|
| 1164 |
-
"harness|hendrycksTest-security_studies|5": {
|
| 1165 |
-
"acc": 0.7224489795918367,
|
| 1166 |
-
"acc_stderr": 0.028666857790274648,
|
| 1167 |
-
"acc_norm": 0.7224489795918367,
|
| 1168 |
-
"acc_norm_stderr": 0.028666857790274648
|
| 1169 |
-
},
|
| 1170 |
-
"harness|hendrycksTest-sociology|5": {
|
| 1171 |
-
"acc": 0.8308457711442786,
|
| 1172 |
-
"acc_stderr": 0.02650859065623327,
|
| 1173 |
-
"acc_norm": 0.8308457711442786,
|
| 1174 |
-
"acc_norm_stderr": 0.02650859065623327
|
| 1175 |
-
},
|
| 1176 |
-
"harness|hendrycksTest-us_foreign_policy|5": {
|
| 1177 |
-
"acc": 0.81,
|
| 1178 |
-
"acc_stderr": 0.03942772444036622,
|
| 1179 |
-
"acc_norm": 0.81,
|
| 1180 |
-
"acc_norm_stderr": 0.03942772444036622
|
| 1181 |
-
},
|
| 1182 |
-
"harness|hendrycksTest-virology|5": {
|
| 1183 |
-
"acc": 0.5240963855421686,
|
| 1184 |
-
"acc_stderr": 0.03887971849597264,
|
| 1185 |
-
"acc_norm": 0.5240963855421686,
|
| 1186 |
-
"acc_norm_stderr": 0.03887971849597264
|
| 1187 |
-
},
|
| 1188 |
-
"harness|hendrycksTest-world_religions|5": {
|
| 1189 |
-
"acc": 0.8187134502923976,
|
| 1190 |
-
"acc_stderr": 0.029547741687640044,
|
| 1191 |
-
"acc_norm": 0.8187134502923976,
|
| 1192 |
-
"acc_norm_stderr": 0.029547741687640044
|
| 1193 |
-
},
|
| 1194 |
-
"harness|truthfulqa:mc|0": {
|
| 1195 |
-
"mc1": 0.3733170134638923,
|
| 1196 |
-
"mc1_stderr": 0.01693237055757063,
|
| 1197 |
-
"mc2": 0.5423095709094117,
|
| 1198 |
-
"mc2_stderr": 0.015530220720511245
|
| 1199 |
}
|
| 1200 |
}
|
| 1201 |
```
|
|
|
|
| 3 |
dataset_summary: "Dataset automatically created during the evaluation run of model\
|
| 4 |
\ [Open-Orca/Mistral-7B-SlimOrca](https://huggingface.co/Open-Orca/Mistral-7B-SlimOrca)\
|
| 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_Open-Orca__Mistral-7B-SlimOrca\"\
|
| 15 |
+
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
|
| 16 |
+
These are the [latest results from run 2023-10-24T04:55:17.464867](https://huggingface.co/datasets/open-llm-leaderboard/details_Open-Orca__Mistral-7B-SlimOrca/blob/main/results_2023-10-24T04-55-17.464867.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\": 0.03460570469798658,\n\
|
| 20 |
+
\ \"em_stderr\": 0.0018718276753995743,\n \"f1\": 0.11197776845637529,\n\
|
| 21 |
+
\ \"f1_stderr\": 0.002382569794079873,\n \"acc\": 0.4940341305179057,\n\
|
| 22 |
+
\ \"acc_stderr\": 0.011521340479768794\n },\n \"harness|drop|3\": {\n\
|
| 23 |
+
\ \"em\": 0.03460570469798658,\n \"em_stderr\": 0.0018718276753995743,\n\
|
| 24 |
+
\ \"f1\": 0.11197776845637529,\n \"f1_stderr\": 0.002382569794079873\n\
|
| 25 |
+
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.2137983320697498,\n \
|
| 26 |
+
\ \"acc_stderr\": 0.011293054698635044\n },\n \"harness|winogrande|5\"\
|
| 27 |
+
: {\n \"acc\": 0.7742699289660616,\n \"acc_stderr\": 0.011749626260902543\n\
|
| 28 |
+
\ }\n}\n```"
|
|
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|
| 29 |
repo_url: https://huggingface.co/Open-Orca/Mistral-7B-SlimOrca
|
| 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_2023-10-11T03-20-03.477959.parquet'
|
| 41 |
+
- config_name: harness_drop_3
|
| 42 |
+
data_files:
|
| 43 |
+
- split: 2023_10_24T04_55_17.464867
|
| 44 |
+
path:
|
| 45 |
+
- '**/details_harness|drop|3_2023-10-24T04-55-17.464867.parquet'
|
| 46 |
+
- split: latest
|
| 47 |
+
path:
|
| 48 |
+
- '**/details_harness|drop|3_2023-10-24T04-55-17.464867.parquet'
|
| 49 |
+
- config_name: harness_gsm8k_5
|
| 50 |
+
data_files:
|
| 51 |
+
- split: 2023_10_24T04_55_17.464867
|
| 52 |
+
path:
|
| 53 |
+
- '**/details_harness|gsm8k|5_2023-10-24T04-55-17.464867.parquet'
|
| 54 |
+
- split: latest
|
| 55 |
+
path:
|
| 56 |
+
- '**/details_harness|gsm8k|5_2023-10-24T04-55-17.464867.parquet'
|
| 57 |
- config_name: harness_hellaswag_10
|
| 58 |
data_files:
|
| 59 |
- split: 2023_10_11T03_20_03.477959
|
|
|
|
| 646 |
- split: latest
|
| 647 |
path:
|
| 648 |
- '**/details_harness|truthfulqa:mc|0_2023-10-11T03-20-03.477959.parquet'
|
| 649 |
+
- config_name: harness_winogrande_5
|
| 650 |
+
data_files:
|
| 651 |
+
- split: 2023_10_24T04_55_17.464867
|
| 652 |
+
path:
|
| 653 |
+
- '**/details_harness|winogrande|5_2023-10-24T04-55-17.464867.parquet'
|
| 654 |
+
- split: latest
|
| 655 |
+
path:
|
| 656 |
+
- '**/details_harness|winogrande|5_2023-10-24T04-55-17.464867.parquet'
|
| 657 |
- config_name: results
|
| 658 |
data_files:
|
| 659 |
- split: 2023_10_11T03_20_03.477959
|
| 660 |
path:
|
| 661 |
- results_2023-10-11T03-20-03.477959.parquet
|
| 662 |
+
- split: 2023_10_24T04_55_17.464867
|
| 663 |
+
path:
|
| 664 |
+
- results_2023-10-24T04-55-17.464867.parquet
|
| 665 |
- split: latest
|
| 666 |
path:
|
| 667 |
+
- results_2023-10-24T04-55-17.464867.parquet
|
| 668 |
---
|
| 669 |
|
| 670 |
# Dataset Card for Evaluation run of Open-Orca/Mistral-7B-SlimOrca
|
|
|
|
| 681 |
|
| 682 |
Dataset automatically created during the evaluation run of model [Open-Orca/Mistral-7B-SlimOrca](https://huggingface.co/Open-Orca/Mistral-7B-SlimOrca) 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_Open-Orca__Mistral-7B-SlimOrca",
|
| 694 |
+
"harness_winogrande_5",
|
| 695 |
split="train")
|
| 696 |
```
|
| 697 |
|
| 698 |
## Latest results
|
| 699 |
|
| 700 |
+
These are the [latest results from run 2023-10-24T04:55:17.464867](https://huggingface.co/datasets/open-llm-leaderboard/details_Open-Orca__Mistral-7B-SlimOrca/blob/main/results_2023-10-24T04-55-17.464867.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": 0.03460570469798658,
|
| 706 |
+
"em_stderr": 0.0018718276753995743,
|
| 707 |
+
"f1": 0.11197776845637529,
|
| 708 |
+
"f1_stderr": 0.002382569794079873,
|
| 709 |
+
"acc": 0.4940341305179057,
|
| 710 |
+
"acc_stderr": 0.011521340479768794
|
| 711 |
+
},
|
| 712 |
+
"harness|drop|3": {
|
| 713 |
+
"em": 0.03460570469798658,
|
| 714 |
+
"em_stderr": 0.0018718276753995743,
|
| 715 |
+
"f1": 0.11197776845637529,
|
| 716 |
+
"f1_stderr": 0.002382569794079873
|
| 717 |
+
},
|
| 718 |
+
"harness|gsm8k|5": {
|
| 719 |
+
"acc": 0.2137983320697498,
|
| 720 |
+
"acc_stderr": 0.011293054698635044
|
| 721 |
+
},
|
| 722 |
+
"harness|winogrande|5": {
|
| 723 |
+
"acc": 0.7742699289660616,
|
| 724 |
+
"acc_stderr": 0.011749626260902543
|
|
|
|
|
|
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| 725 |
}
|
| 726 |
}
|
| 727 |
```
|