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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 psmathur/orca_mini_3b
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dataset_summary: "Dataset automatically created during the evaluation run of model\
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\ [psmathur/orca_mini_3b](https://huggingface.co/psmathur/orca_mini_3b) on the [Open\
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\ 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_psmathur__orca_mini_3b\"\
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,\n\t\"
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\ },\n \"harness|
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\ \"
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\
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: {\n \"acc\": 0.38,\n \"acc_stderr\": 0.048783173121456316,\n \
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\ \"acc_norm\": 0.38,\n \"acc_norm_stderr\": 0.048783173121456316\n \
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\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.35555555555555557,\n\
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\ \"acc_stderr\": 0.04135176749720385,\n \"acc_norm\": 0.35555555555555557,\n\
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\ \"acc_norm_stderr\": 0.04135176749720385\n },\n \"harness|hendrycksTest-astronomy|5\"\
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: {\n \"acc\": 0.28289473684210525,\n \"acc_stderr\": 0.03665349695640767,\n\
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\ \"acc_norm\": 0.28289473684210525,\n \"acc_norm_stderr\": 0.03665349695640767\n\
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\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.27,\n\
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\ \"acc_stderr\": 0.04461960433384741,\n \"acc_norm\": 0.27,\n \
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\ \"acc_norm_stderr\": 0.04461960433384741\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
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: {\n \"acc\": 0.2679245283018868,\n \"acc_stderr\": 0.027257260322494845,\n\
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\ \"acc_norm\": 0.2679245283018868,\n \"acc_norm_stderr\": 0.027257260322494845\n\
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\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.2847222222222222,\n\
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\ \"acc_stderr\": 0.037738099906869355,\n \"acc_norm\": 0.2847222222222222,\n\
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\ \"acc_norm_stderr\": 0.037738099906869355\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
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: {\n \"acc\": 0.15,\n \"acc_stderr\": 0.035887028128263686,\n \
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\ \"acc_norm\": 0.15,\n \"acc_norm_stderr\": 0.035887028128263686\n \
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\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\
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acc\": 0.23,\n \"acc_stderr\": 0.04229525846816505,\n \"acc_norm\"\
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: 0.23,\n \"acc_norm_stderr\": 0.04229525846816505\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
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: {\n \"acc\": 0.27,\n \"acc_stderr\": 0.04461960433384741,\n \
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\ \"acc_norm\": 0.27,\n \"acc_norm_stderr\": 0.04461960433384741\n \
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\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.24855491329479767,\n\
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\ \"acc_stderr\": 0.03295304696818317,\n \"acc_norm\": 0.24855491329479767,\n\
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\ \"acc_norm_stderr\": 0.03295304696818317\n },\n \"harness|hendrycksTest-college_physics|5\"\
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: {\n \"acc\": 0.17647058823529413,\n \"acc_stderr\": 0.0379328118530781,\n\
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\ \"acc_norm\": 0.17647058823529413,\n \"acc_norm_stderr\": 0.0379328118530781\n\
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\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
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\ 0.28,\n \"acc_stderr\": 0.04512608598542128,\n \"acc_norm\": 0.28,\n\
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\ \"acc_norm_stderr\": 0.04512608598542128\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
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: {\n \"acc\": 0.23829787234042554,\n \"acc_stderr\": 0.027851252973889778,\n\
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\ \"acc_norm\": 0.23829787234042554,\n \"acc_norm_stderr\": 0.027851252973889778\n\
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\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.22807017543859648,\n\
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\ \"acc_stderr\": 0.03947152782669415,\n \"acc_norm\": 0.22807017543859648,\n\
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\ \"acc_norm_stderr\": 0.03947152782669415\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
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: {\n \"acc\": 0.30344827586206896,\n \"acc_stderr\": 0.038312260488503336,\n\
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\ \"acc_norm\": 0.30344827586206896,\n \"acc_norm_stderr\": 0.038312260488503336\n\
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\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
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: 0.25132275132275134,\n \"acc_stderr\": 0.022340482339643895,\n \"\
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acc_norm\": 0.25132275132275134,\n \"acc_norm_stderr\": 0.022340482339643895\n\
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\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.1746031746031746,\n\
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\ \"acc_stderr\": 0.0339549002085611,\n \"acc_norm\": 0.1746031746031746,\n\
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\ \"acc_norm_stderr\": 0.0339549002085611\n },\n \"harness|hendrycksTest-global_facts|5\"\
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: {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \
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\ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \
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\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.21935483870967742,\n\
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\ \"acc_stderr\": 0.023540799358723316,\n \"acc_norm\": 0.21935483870967742,\n\
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\ \"acc_norm_stderr\": 0.023540799358723316\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
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: {\n \"acc\": 0.24630541871921183,\n \"acc_stderr\": 0.030315099285617736,\n\
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\ \"acc_norm\": 0.24630541871921183,\n \"acc_norm_stderr\": 0.030315099285617736\n\
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\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
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\ \"acc\": 0.35,\n \"acc_stderr\": 0.0479372485441102,\n \"acc_norm\"\
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: 0.35,\n \"acc_norm_stderr\": 0.0479372485441102\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
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: {\n \"acc\": 0.3151515151515151,\n \"acc_stderr\": 0.0362773057502241,\n\
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\ \"acc_norm\": 0.3151515151515151,\n \"acc_norm_stderr\": 0.0362773057502241\n\
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\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
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: 0.2878787878787879,\n \"acc_stderr\": 0.03225883512300992,\n \"\
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acc_norm\": 0.2878787878787879,\n \"acc_norm_stderr\": 0.03225883512300992\n\
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\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
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\ \"acc\": 0.2538860103626943,\n \"acc_stderr\": 0.03141024780565318,\n\
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\ \"acc_norm\": 0.2538860103626943,\n \"acc_norm_stderr\": 0.03141024780565318\n\
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\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
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\ \"acc\": 0.23333333333333334,\n \"acc_stderr\": 0.021444547301560486,\n\
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\ \"acc_norm\": 0.23333333333333334,\n \"acc_norm_stderr\": 0.021444547301560486\n\
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\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
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acc\": 0.26296296296296295,\n \"acc_stderr\": 0.02684205787383371,\n \
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\ \"acc_norm\": 0.26296296296296295,\n \"acc_norm_stderr\": 0.02684205787383371\n\
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\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
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\ \"acc\": 0.21008403361344538,\n \"acc_stderr\": 0.026461398717471874,\n\
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\ \"acc_norm\": 0.21008403361344538,\n \"acc_norm_stderr\": 0.026461398717471874\n\
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\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
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: 0.271523178807947,\n \"acc_stderr\": 0.036313298039696525,\n \"\
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acc_norm\": 0.271523178807947,\n \"acc_norm_stderr\": 0.036313298039696525\n\
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\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
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: 0.24770642201834864,\n \"acc_stderr\": 0.018508143602547832,\n \"\
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acc_norm\": 0.24770642201834864,\n \"acc_norm_stderr\": 0.018508143602547832\n\
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\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
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: 0.2175925925925926,\n \"acc_stderr\": 0.028139689444859683,\n \"\
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acc_norm\": 0.2175925925925926,\n \"acc_norm_stderr\": 0.028139689444859683\n\
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\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
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: 0.25980392156862747,\n \"acc_stderr\": 0.03077855467869326,\n \"\
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acc_norm\": 0.25980392156862747,\n \"acc_norm_stderr\": 0.03077855467869326\n\
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\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
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acc\": 0.24472573839662448,\n \"acc_stderr\": 0.027985699387036427,\n \
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\ \"acc_norm\": 0.24472573839662448,\n \"acc_norm_stderr\": 0.027985699387036427\n\
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\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.2825112107623318,\n\
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\ \"acc_stderr\": 0.03021683101150876,\n \"acc_norm\": 0.2825112107623318,\n\
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\ \"acc_norm_stderr\": 0.03021683101150876\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
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: {\n \"acc\": 0.20610687022900764,\n \"acc_stderr\": 0.035477710041594626,\n\
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\ \"acc_norm\": 0.20610687022900764,\n \"acc_norm_stderr\": 0.035477710041594626\n\
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\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
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\ 0.371900826446281,\n \"acc_stderr\": 0.04412015806624504,\n \"acc_norm\"\
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: 0.371900826446281,\n \"acc_norm_stderr\": 0.04412015806624504\n },\n\
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\ \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.28703703703703703,\n\
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\ \"acc_stderr\": 0.043733130409147614,\n \"acc_norm\": 0.28703703703703703,\n\
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\ \"acc_norm_stderr\": 0.043733130409147614\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
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: {\n \"acc\": 0.294478527607362,\n \"acc_stderr\": 0.03581165790474082,\n\
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\ \"acc_norm\": 0.294478527607362,\n \"acc_norm_stderr\": 0.03581165790474082\n\
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\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.21428571428571427,\n\
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\ \"acc_stderr\": 0.03894641120044792,\n \"acc_norm\": 0.21428571428571427,\n\
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\ \"acc_norm_stderr\": 0.03894641120044792\n },\n \"harness|hendrycksTest-management|5\"\
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: {\n \"acc\": 0.2524271844660194,\n \"acc_stderr\": 0.04301250399690877,\n\
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\ \"acc_norm\": 0.2524271844660194,\n \"acc_norm_stderr\": 0.04301250399690877\n\
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\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.3034188034188034,\n\
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\ \"acc_stderr\": 0.030118210106942638,\n \"acc_norm\": 0.3034188034188034,\n\
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\ \"acc_norm_stderr\": 0.030118210106942638\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
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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-miscellaneous|5\": {\n \"acc\": 0.3499361430395913,\n\
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\ \"acc_stderr\": 0.017055679797150423,\n \"acc_norm\": 0.3499361430395913,\n\
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\ \"acc_norm_stderr\": 0.017055679797150423\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
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: {\n \"acc\": 0.3092485549132948,\n \"acc_stderr\": 0.02488314057007175,\n\
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\ \"acc_norm\": 0.3092485549132948,\n \"acc_norm_stderr\": 0.02488314057007175\n\
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\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.24581005586592178,\n\
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\ \"acc_stderr\": 0.01440029642922563,\n \"acc_norm\": 0.24581005586592178,\n\
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\ \"acc_norm_stderr\": 0.01440029642922563\n },\n \"harness|hendrycksTest-nutrition|5\"\
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: {\n \"acc\": 0.2777777777777778,\n \"acc_stderr\": 0.02564686309713791,\n\
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\ \"acc_norm\": 0.2777777777777778,\n \"acc_norm_stderr\": 0.02564686309713791\n\
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\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.35691318327974275,\n\
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\ \"acc_stderr\": 0.027210420375934023,\n \"acc_norm\": 0.35691318327974275,\n\
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\ \"acc_norm_stderr\": 0.027210420375934023\n },\n \"harness|hendrycksTest-prehistory|5\"\
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: {\n \"acc\": 0.2716049382716049,\n \"acc_stderr\": 0.02474862449053737,\n\
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\ \"acc_norm\": 0.2716049382716049,\n \"acc_norm_stderr\": 0.02474862449053737\n\
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\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
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acc\": 0.24822695035460993,\n \"acc_stderr\": 0.025770015644290396,\n \
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\ \"acc_norm\": 0.24822695035460993,\n \"acc_norm_stderr\": 0.025770015644290396\n\
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\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.24315514993481094,\n\
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\ \"acc_stderr\": 0.010956556654417346,\n \"acc_norm\": 0.24315514993481094,\n\
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\ \"acc_norm_stderr\": 0.010956556654417346\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
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: {\n \"acc\": 0.1801470588235294,\n \"acc_stderr\": 0.02334516361654487,\n\
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\ \"acc_norm\": 0.1801470588235294,\n \"acc_norm_stderr\": 0.02334516361654487\n\
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\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
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acc\": 0.28431372549019607,\n \"acc_stderr\": 0.018249024411207657,\n \
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\ \"acc_norm\": 0.28431372549019607,\n \"acc_norm_stderr\": 0.018249024411207657\n\
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\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.22727272727272727,\n\
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\ \"acc_stderr\": 0.04013964554072774,\n \"acc_norm\": 0.22727272727272727,\n\
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\ \"acc_norm_stderr\": 0.04013964554072774\n },\n \"harness|hendrycksTest-security_studies|5\"\
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: {\n \"acc\": 0.18775510204081633,\n \"acc_stderr\": 0.025000256039546212,\n\
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\ \"acc_norm\": 0.18775510204081633,\n \"acc_norm_stderr\": 0.025000256039546212\n\
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\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.31343283582089554,\n\
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\ \"acc_stderr\": 0.032801882053486435,\n \"acc_norm\": 0.31343283582089554,\n\
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\ \"acc_norm_stderr\": 0.032801882053486435\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
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: {\n \"acc\": 0.33,\n \"acc_stderr\": 0.04725815626252604,\n \
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\ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.04725815626252604\n \
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\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.30120481927710846,\n\
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\ \"acc_stderr\": 0.0357160923005348,\n \"acc_norm\": 0.30120481927710846,\n\
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\ \"acc_norm_stderr\": 0.0357160923005348\n },\n \"harness|hendrycksTest-world_religions|5\"\
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: {\n \"acc\": 0.3216374269005848,\n \"acc_stderr\": 0.03582529442573122,\n\
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\ \"acc_norm\": 0.3216374269005848,\n \"acc_norm_stderr\": 0.03582529442573122\n\
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\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.27539779681762544,\n\
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\ \"mc1_stderr\": 0.01563813566777552,\n \"mc2\": 0.4241585354991201,\n\
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\ \"mc2_stderr\": 0.015307493248507284\n }\n}\n```"
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repo_url: https://huggingface.co/psmathur/orca_mini_3b
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leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
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point_of_contact: clementine@hf.co
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- split: latest
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path:
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- '**/details_harness|arc:challenge|25_2023-07-19T14:44:31.628313.parquet'
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- config_name: harness_hellaswag_10
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data_files:
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- split: 2023_07_19T14_44_31.628313
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|
@@ -782,14 +646,25 @@ configs:
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- split: latest
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| 783 |
path:
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| 784 |
- '**/details_harness|truthfulqa:mc|0_2023-07-19T14:44:31.628313.parquet'
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| 785 |
- config_name: results
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| 786 |
data_files:
|
| 787 |
- split: 2023_07_19T14_44_31.628313
|
| 788 |
path:
|
| 789 |
- results_2023-07-19T14:44:31.628313.parquet
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|
| 790 |
- split: latest
|
| 791 |
path:
|
| 792 |
-
- results_2023-
|
| 793 |
---
|
| 794 |
|
| 795 |
# Dataset Card for Evaluation run of psmathur/orca_mini_3b
|
|
@@ -806,9 +681,9 @@ configs:
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|
| 806 |
|
| 807 |
Dataset automatically created during the evaluation run of model [psmathur/orca_mini_3b](https://huggingface.co/psmathur/orca_mini_3b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
|
| 808 |
|
| 809 |
-
The dataset is composed of
|
| 810 |
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| 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_psmathur__orca_mini_3b",
|
| 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 |
-
"
|
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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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-
"
|
| 849 |
-
"
|
| 850 |
-
},
|
| 851 |
-
"harness|hendrycksTest-abstract_algebra|5": {
|
| 852 |
-
"acc": 0.38,
|
| 853 |
-
"acc_stderr": 0.048783173121456316,
|
| 854 |
-
"acc_norm": 0.38,
|
| 855 |
-
"acc_norm_stderr": 0.048783173121456316
|
| 856 |
-
},
|
| 857 |
-
"harness|hendrycksTest-anatomy|5": {
|
| 858 |
-
"acc": 0.35555555555555557,
|
| 859 |
-
"acc_stderr": 0.04135176749720385,
|
| 860 |
-
"acc_norm": 0.35555555555555557,
|
| 861 |
-
"acc_norm_stderr": 0.04135176749720385
|
| 862 |
-
},
|
| 863 |
-
"harness|hendrycksTest-astronomy|5": {
|
| 864 |
-
"acc": 0.28289473684210525,
|
| 865 |
-
"acc_stderr": 0.03665349695640767,
|
| 866 |
-
"acc_norm": 0.28289473684210525,
|
| 867 |
-
"acc_norm_stderr": 0.03665349695640767
|
| 868 |
-
},
|
| 869 |
-
"harness|hendrycksTest-business_ethics|5": {
|
| 870 |
-
"acc": 0.27,
|
| 871 |
-
"acc_stderr": 0.04461960433384741,
|
| 872 |
-
"acc_norm": 0.27,
|
| 873 |
-
"acc_norm_stderr": 0.04461960433384741
|
| 874 |
-
},
|
| 875 |
-
"harness|hendrycksTest-clinical_knowledge|5": {
|
| 876 |
-
"acc": 0.2679245283018868,
|
| 877 |
-
"acc_stderr": 0.027257260322494845,
|
| 878 |
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"acc_norm": 0.2679245283018868,
|
| 879 |
-
"acc_norm_stderr": 0.027257260322494845
|
| 880 |
-
},
|
| 881 |
-
"harness|hendrycksTest-college_biology|5": {
|
| 882 |
-
"acc": 0.2847222222222222,
|
| 883 |
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"acc_stderr": 0.037738099906869355,
|
| 884 |
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"acc_norm": 0.2847222222222222,
|
| 885 |
-
"acc_norm_stderr": 0.037738099906869355
|
| 886 |
-
},
|
| 887 |
-
"harness|hendrycksTest-college_chemistry|5": {
|
| 888 |
-
"acc": 0.15,
|
| 889 |
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"acc_stderr": 0.035887028128263686,
|
| 890 |
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"acc_norm": 0.15,
|
| 891 |
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"acc_norm_stderr": 0.035887028128263686
|
| 892 |
-
},
|
| 893 |
-
"harness|hendrycksTest-college_computer_science|5": {
|
| 894 |
-
"acc": 0.23,
|
| 895 |
-
"acc_stderr": 0.04229525846816505,
|
| 896 |
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"acc_norm": 0.23,
|
| 897 |
-
"acc_norm_stderr": 0.04229525846816505
|
| 898 |
-
},
|
| 899 |
-
"harness|hendrycksTest-college_mathematics|5": {
|
| 900 |
-
"acc": 0.27,
|
| 901 |
-
"acc_stderr": 0.04461960433384741,
|
| 902 |
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"acc_norm": 0.27,
|
| 903 |
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"acc_norm_stderr": 0.04461960433384741
|
| 904 |
-
},
|
| 905 |
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"harness|hendrycksTest-college_medicine|5": {
|
| 906 |
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"acc": 0.24855491329479767,
|
| 907 |
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"acc_stderr": 0.03295304696818317,
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| 908 |
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"acc_norm": 0.24855491329479767,
|
| 909 |
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"acc_norm_stderr": 0.03295304696818317
|
| 910 |
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},
|
| 911 |
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"harness|hendrycksTest-college_physics|5": {
|
| 912 |
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"acc": 0.17647058823529413,
|
| 913 |
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"acc_norm": 0.17647058823529413,
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| 915 |
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|
| 916 |
-
},
|
| 917 |
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"harness|hendrycksTest-computer_security|5": {
|
| 918 |
-
"acc": 0.28,
|
| 919 |
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"acc_stderr": 0.04512608598542128,
|
| 920 |
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"acc_norm": 0.28,
|
| 921 |
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"acc_norm_stderr": 0.04512608598542128
|
| 922 |
-
},
|
| 923 |
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"harness|hendrycksTest-conceptual_physics|5": {
|
| 924 |
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"acc": 0.23829787234042554,
|
| 925 |
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|
| 926 |
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|
| 927 |
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|
| 928 |
-
},
|
| 929 |
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"harness|hendrycksTest-econometrics|5": {
|
| 930 |
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|
| 931 |
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| 933 |
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|
| 934 |
-
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|
| 935 |
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"harness|hendrycksTest-electrical_engineering|5": {
|
| 936 |
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| 937 |
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| 939 |
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|
| 940 |
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},
|
| 941 |
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"harness|hendrycksTest-elementary_mathematics|5": {
|
| 942 |
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|
| 943 |
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| 945 |
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|
| 946 |
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},
|
| 947 |
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"harness|hendrycksTest-formal_logic|5": {
|
| 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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"harness|hendrycksTest-global_facts|5": {
|
| 954 |
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|
| 955 |
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|
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| 958 |
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|
| 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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| 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": 0.35,
|
| 973 |
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| 975 |
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| 976 |
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|
| 977 |
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"harness|hendrycksTest-high_school_european_history|5": {
|
| 978 |
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|
| 979 |
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| 980 |
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| 981 |
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| 982 |
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},
|
| 983 |
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"harness|hendrycksTest-high_school_geography|5": {
|
| 984 |
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| 985 |
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| 986 |
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| 987 |
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"acc_norm_stderr": 0.03225883512300992
|
| 988 |
-
},
|
| 989 |
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"harness|hendrycksTest-high_school_government_and_politics|5": {
|
| 990 |
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"acc": 0.2538860103626943,
|
| 991 |
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| 993 |
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| 994 |
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},
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| 995 |
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"harness|hendrycksTest-high_school_macroeconomics|5": {
|
| 996 |
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"acc": 0.23333333333333334,
|
| 997 |
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|
| 999 |
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"acc_norm_stderr": 0.021444547301560486
|
| 1000 |
-
},
|
| 1001 |
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"harness|hendrycksTest-high_school_mathematics|5": {
|
| 1002 |
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"acc": 0.26296296296296295,
|
| 1003 |
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| 1004 |
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| 1005 |
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|
| 1006 |
-
},
|
| 1007 |
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"harness|hendrycksTest-high_school_microeconomics|5": {
|
| 1008 |
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|
| 1009 |
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| 1011 |
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|
| 1012 |
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|
| 1013 |
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|
| 1014 |
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|
| 1015 |
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| 1017 |
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|
| 1018 |
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|
| 1019 |
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"harness|hendrycksTest-high_school_psychology|5": {
|
| 1020 |
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|
| 1021 |
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|
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|
| 1023 |
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|
| 1024 |
-
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|
| 1025 |
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|
| 1026 |
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|
| 1027 |
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|
| 1029 |
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|
| 1030 |
-
},
|
| 1031 |
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"harness|hendrycksTest-high_school_us_history|5": {
|
| 1032 |
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|
| 1033 |
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|
| 1034 |
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|
| 1035 |
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|
| 1036 |
-
},
|
| 1037 |
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"harness|hendrycksTest-high_school_world_history|5": {
|
| 1038 |
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|
| 1039 |
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| 1040 |
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|
| 1041 |
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|
| 1042 |
-
},
|
| 1043 |
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"harness|hendrycksTest-human_aging|5": {
|
| 1044 |
-
"acc": 0.2825112107623318,
|
| 1045 |
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|
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|
| 1047 |
-
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|
| 1048 |
-
},
|
| 1049 |
-
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|
| 1050 |
-
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|
| 1051 |
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|
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|
| 1053 |
-
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|
| 1054 |
-
},
|
| 1055 |
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"harness|hendrycksTest-international_law|5": {
|
| 1056 |
-
"acc": 0.371900826446281,
|
| 1057 |
-
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| 1059 |
-
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|
| 1060 |
-
},
|
| 1061 |
-
"harness|hendrycksTest-jurisprudence|5": {
|
| 1062 |
-
"acc": 0.28703703703703703,
|
| 1063 |
-
"acc_stderr": 0.043733130409147614,
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| 1064 |
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"acc_norm": 0.28703703703703703,
|
| 1065 |
-
"acc_norm_stderr": 0.043733130409147614
|
| 1066 |
-
},
|
| 1067 |
-
"harness|hendrycksTest-logical_fallacies|5": {
|
| 1068 |
-
"acc": 0.294478527607362,
|
| 1069 |
-
"acc_stderr": 0.03581165790474082,
|
| 1070 |
-
"acc_norm": 0.294478527607362,
|
| 1071 |
-
"acc_norm_stderr": 0.03581165790474082
|
| 1072 |
-
},
|
| 1073 |
-
"harness|hendrycksTest-machine_learning|5": {
|
| 1074 |
-
"acc": 0.21428571428571427,
|
| 1075 |
-
"acc_stderr": 0.03894641120044792,
|
| 1076 |
-
"acc_norm": 0.21428571428571427,
|
| 1077 |
-
"acc_norm_stderr": 0.03894641120044792
|
| 1078 |
-
},
|
| 1079 |
-
"harness|hendrycksTest-management|5": {
|
| 1080 |
-
"acc": 0.2524271844660194,
|
| 1081 |
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| 1082 |
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"acc_norm": 0.2524271844660194,
|
| 1083 |
-
"acc_norm_stderr": 0.04301250399690877
|
| 1084 |
-
},
|
| 1085 |
-
"harness|hendrycksTest-marketing|5": {
|
| 1086 |
-
"acc": 0.3034188034188034,
|
| 1087 |
-
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| 1088 |
-
"acc_norm": 0.3034188034188034,
|
| 1089 |
-
"acc_norm_stderr": 0.030118210106942638
|
| 1090 |
-
},
|
| 1091 |
-
"harness|hendrycksTest-medical_genetics|5": {
|
| 1092 |
-
"acc": 0.29,
|
| 1093 |
-
"acc_stderr": 0.045604802157206845,
|
| 1094 |
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"acc_norm": 0.29,
|
| 1095 |
-
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|
| 1096 |
-
},
|
| 1097 |
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"harness|hendrycksTest-miscellaneous|5": {
|
| 1098 |
-
"acc": 0.3499361430395913,
|
| 1099 |
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"acc_stderr": 0.017055679797150423,
|
| 1100 |
-
"acc_norm": 0.3499361430395913,
|
| 1101 |
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"acc_norm_stderr": 0.017055679797150423
|
| 1102 |
-
},
|
| 1103 |
-
"harness|hendrycksTest-moral_disputes|5": {
|
| 1104 |
-
"acc": 0.3092485549132948,
|
| 1105 |
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| 1106 |
-
"acc_norm": 0.3092485549132948,
|
| 1107 |
-
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|
| 1108 |
-
},
|
| 1109 |
-
"harness|hendrycksTest-moral_scenarios|5": {
|
| 1110 |
-
"acc": 0.24581005586592178,
|
| 1111 |
-
"acc_stderr": 0.01440029642922563,
|
| 1112 |
-
"acc_norm": 0.24581005586592178,
|
| 1113 |
-
"acc_norm_stderr": 0.01440029642922563
|
| 1114 |
-
},
|
| 1115 |
-
"harness|hendrycksTest-nutrition|5": {
|
| 1116 |
-
"acc": 0.2777777777777778,
|
| 1117 |
-
"acc_stderr": 0.02564686309713791,
|
| 1118 |
-
"acc_norm": 0.2777777777777778,
|
| 1119 |
-
"acc_norm_stderr": 0.02564686309713791
|
| 1120 |
-
},
|
| 1121 |
-
"harness|hendrycksTest-philosophy|5": {
|
| 1122 |
-
"acc": 0.35691318327974275,
|
| 1123 |
-
"acc_stderr": 0.027210420375934023,
|
| 1124 |
-
"acc_norm": 0.35691318327974275,
|
| 1125 |
-
"acc_norm_stderr": 0.027210420375934023
|
| 1126 |
-
},
|
| 1127 |
-
"harness|hendrycksTest-prehistory|5": {
|
| 1128 |
-
"acc": 0.2716049382716049,
|
| 1129 |
-
"acc_stderr": 0.02474862449053737,
|
| 1130 |
-
"acc_norm": 0.2716049382716049,
|
| 1131 |
-
"acc_norm_stderr": 0.02474862449053737
|
| 1132 |
-
},
|
| 1133 |
-
"harness|hendrycksTest-professional_accounting|5": {
|
| 1134 |
-
"acc": 0.24822695035460993,
|
| 1135 |
-
"acc_stderr": 0.025770015644290396,
|
| 1136 |
-
"acc_norm": 0.24822695035460993,
|
| 1137 |
-
"acc_norm_stderr": 0.025770015644290396
|
| 1138 |
-
},
|
| 1139 |
-
"harness|hendrycksTest-professional_law|5": {
|
| 1140 |
-
"acc": 0.24315514993481094,
|
| 1141 |
-
"acc_stderr": 0.010956556654417346,
|
| 1142 |
-
"acc_norm": 0.24315514993481094,
|
| 1143 |
-
"acc_norm_stderr": 0.010956556654417346
|
| 1144 |
-
},
|
| 1145 |
-
"harness|hendrycksTest-professional_medicine|5": {
|
| 1146 |
-
"acc": 0.1801470588235294,
|
| 1147 |
-
"acc_stderr": 0.02334516361654487,
|
| 1148 |
-
"acc_norm": 0.1801470588235294,
|
| 1149 |
-
"acc_norm_stderr": 0.02334516361654487
|
| 1150 |
-
},
|
| 1151 |
-
"harness|hendrycksTest-professional_psychology|5": {
|
| 1152 |
-
"acc": 0.28431372549019607,
|
| 1153 |
-
"acc_stderr": 0.018249024411207657,
|
| 1154 |
-
"acc_norm": 0.28431372549019607,
|
| 1155 |
-
"acc_norm_stderr": 0.018249024411207657
|
| 1156 |
-
},
|
| 1157 |
-
"harness|hendrycksTest-public_relations|5": {
|
| 1158 |
-
"acc": 0.22727272727272727,
|
| 1159 |
-
"acc_stderr": 0.04013964554072774,
|
| 1160 |
-
"acc_norm": 0.22727272727272727,
|
| 1161 |
-
"acc_norm_stderr": 0.04013964554072774
|
| 1162 |
-
},
|
| 1163 |
-
"harness|hendrycksTest-security_studies|5": {
|
| 1164 |
-
"acc": 0.18775510204081633,
|
| 1165 |
-
"acc_stderr": 0.025000256039546212,
|
| 1166 |
-
"acc_norm": 0.18775510204081633,
|
| 1167 |
-
"acc_norm_stderr": 0.025000256039546212
|
| 1168 |
-
},
|
| 1169 |
-
"harness|hendrycksTest-sociology|5": {
|
| 1170 |
-
"acc": 0.31343283582089554,
|
| 1171 |
-
"acc_stderr": 0.032801882053486435,
|
| 1172 |
-
"acc_norm": 0.31343283582089554,
|
| 1173 |
-
"acc_norm_stderr": 0.032801882053486435
|
| 1174 |
-
},
|
| 1175 |
-
"harness|hendrycksTest-us_foreign_policy|5": {
|
| 1176 |
-
"acc": 0.33,
|
| 1177 |
-
"acc_stderr": 0.04725815626252604,
|
| 1178 |
-
"acc_norm": 0.33,
|
| 1179 |
-
"acc_norm_stderr": 0.04725815626252604
|
| 1180 |
-
},
|
| 1181 |
-
"harness|hendrycksTest-virology|5": {
|
| 1182 |
-
"acc": 0.30120481927710846,
|
| 1183 |
-
"acc_stderr": 0.0357160923005348,
|
| 1184 |
-
"acc_norm": 0.30120481927710846,
|
| 1185 |
-
"acc_norm_stderr": 0.0357160923005348
|
| 1186 |
-
},
|
| 1187 |
-
"harness|hendrycksTest-world_religions|5": {
|
| 1188 |
-
"acc": 0.3216374269005848,
|
| 1189 |
-
"acc_stderr": 0.03582529442573122,
|
| 1190 |
-
"acc_norm": 0.3216374269005848,
|
| 1191 |
-
"acc_norm_stderr": 0.03582529442573122
|
| 1192 |
-
},
|
| 1193 |
-
"harness|truthfulqa:mc|0": {
|
| 1194 |
-
"mc1": 0.27539779681762544,
|
| 1195 |
-
"mc1_stderr": 0.01563813566777552,
|
| 1196 |
-
"mc2": 0.4241585354991201,
|
| 1197 |
-
"mc2_stderr": 0.015307493248507284
|
| 1198 |
}
|
| 1199 |
}
|
| 1200 |
```
|
|
|
|
| 3 |
dataset_summary: "Dataset automatically created during the evaluation run of model\
|
| 4 |
\ [psmathur/orca_mini_3b](https://huggingface.co/psmathur/orca_mini_3b) on the [Open\
|
| 5 |
\ 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_psmathur__orca_mini_3b\"\
|
| 15 |
+
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
|
| 16 |
+
These are the [latest results from run 2023-10-17T23:11:12.481568](https://huggingface.co/datasets/open-llm-leaderboard/details_psmathur__orca_mini_3b/blob/main/results_2023-10-17T23-11-12.481568.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\": 0.08525587248322147,\n\
|
| 20 |
+
\ \"em_stderr\": 0.0028599050719363664,\n \"f1\": 0.14329697986577175,\n\
|
| 21 |
+
\ \"f1_stderr\": 0.003074790501045602,\n \"acc\": 0.3093767072589133,\n\
|
| 22 |
+
\ \"acc_stderr\": 0.007206864164846476\n },\n \"harness|drop|3\": {\n\
|
| 23 |
+
\ \"em\": 0.08525587248322147,\n \"em_stderr\": 0.0028599050719363664,\n\
|
| 24 |
+
\ \"f1\": 0.14329697986577175,\n \"f1_stderr\": 0.003074790501045602\n\
|
| 25 |
+
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.000758150113722517,\n \
|
| 26 |
+
\ \"acc_stderr\": 0.0007581501137225393\n },\n \"harness|winogrande|5\"\
|
| 27 |
+
: {\n \"acc\": 0.6179952644041041,\n \"acc_stderr\": 0.013655578215970413\n\
|
| 28 |
+
\ }\n}\n```"
|
|
|
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|
|
| 29 |
repo_url: https://huggingface.co/psmathur/orca_mini_3b
|
| 30 |
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
|
| 31 |
point_of_contact: clementine@hf.co
|
|
|
|
| 38 |
- split: latest
|
| 39 |
path:
|
| 40 |
- '**/details_harness|arc:challenge|25_2023-07-19T14:44:31.628313.parquet'
|
| 41 |
+
- config_name: harness_drop_3
|
| 42 |
+
data_files:
|
| 43 |
+
- split: 2023_10_17T23_11_12.481568
|
| 44 |
+
path:
|
| 45 |
+
- '**/details_harness|drop|3_2023-10-17T23-11-12.481568.parquet'
|
| 46 |
+
- split: latest
|
| 47 |
+
path:
|
| 48 |
+
- '**/details_harness|drop|3_2023-10-17T23-11-12.481568.parquet'
|
| 49 |
+
- config_name: harness_gsm8k_5
|
| 50 |
+
data_files:
|
| 51 |
+
- split: 2023_10_17T23_11_12.481568
|
| 52 |
+
path:
|
| 53 |
+
- '**/details_harness|gsm8k|5_2023-10-17T23-11-12.481568.parquet'
|
| 54 |
+
- split: latest
|
| 55 |
+
path:
|
| 56 |
+
- '**/details_harness|gsm8k|5_2023-10-17T23-11-12.481568.parquet'
|
| 57 |
- config_name: harness_hellaswag_10
|
| 58 |
data_files:
|
| 59 |
- split: 2023_07_19T14_44_31.628313
|
|
|
|
| 646 |
- split: latest
|
| 647 |
path:
|
| 648 |
- '**/details_harness|truthfulqa:mc|0_2023-07-19T14:44:31.628313.parquet'
|
| 649 |
+
- config_name: harness_winogrande_5
|
| 650 |
+
data_files:
|
| 651 |
+
- split: 2023_10_17T23_11_12.481568
|
| 652 |
+
path:
|
| 653 |
+
- '**/details_harness|winogrande|5_2023-10-17T23-11-12.481568.parquet'
|
| 654 |
+
- split: latest
|
| 655 |
+
path:
|
| 656 |
+
- '**/details_harness|winogrande|5_2023-10-17T23-11-12.481568.parquet'
|
| 657 |
- config_name: results
|
| 658 |
data_files:
|
| 659 |
- split: 2023_07_19T14_44_31.628313
|
| 660 |
path:
|
| 661 |
- results_2023-07-19T14:44:31.628313.parquet
|
| 662 |
+
- split: 2023_10_17T23_11_12.481568
|
| 663 |
+
path:
|
| 664 |
+
- results_2023-10-17T23-11-12.481568.parquet
|
| 665 |
- split: latest
|
| 666 |
path:
|
| 667 |
+
- results_2023-10-17T23-11-12.481568.parquet
|
| 668 |
---
|
| 669 |
|
| 670 |
# Dataset Card for Evaluation run of psmathur/orca_mini_3b
|
|
|
|
| 681 |
|
| 682 |
Dataset automatically created during the evaluation run of model [psmathur/orca_mini_3b](https://huggingface.co/psmathur/orca_mini_3b) 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_psmathur__orca_mini_3b",
|
| 694 |
+
"harness_winogrande_5",
|
| 695 |
split="train")
|
| 696 |
```
|
| 697 |
|
| 698 |
## Latest results
|
| 699 |
|
| 700 |
+
These are the [latest results from run 2023-10-17T23:11:12.481568](https://huggingface.co/datasets/open-llm-leaderboard/details_psmathur__orca_mini_3b/blob/main/results_2023-10-17T23-11-12.481568.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": 0.08525587248322147,
|
| 706 |
+
"em_stderr": 0.0028599050719363664,
|
| 707 |
+
"f1": 0.14329697986577175,
|
| 708 |
+
"f1_stderr": 0.003074790501045602,
|
| 709 |
+
"acc": 0.3093767072589133,
|
| 710 |
+
"acc_stderr": 0.007206864164846476
|
| 711 |
+
},
|
| 712 |
+
"harness|drop|3": {
|
| 713 |
+
"em": 0.08525587248322147,
|
| 714 |
+
"em_stderr": 0.0028599050719363664,
|
| 715 |
+
"f1": 0.14329697986577175,
|
| 716 |
+
"f1_stderr": 0.003074790501045602
|
| 717 |
+
},
|
| 718 |
+
"harness|gsm8k|5": {
|
| 719 |
+
"acc": 0.000758150113722517,
|
| 720 |
+
"acc_stderr": 0.0007581501137225393
|
| 721 |
+
},
|
| 722 |
+
"harness|winogrande|5": {
|
| 723 |
+
"acc": 0.6179952644041041,
|
| 724 |
+
"acc_stderr": 0.013655578215970413
|
|
|
|
|
|
|
|
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| 725 |
}
|
| 726 |
}
|
| 727 |
```
|