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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 dfurman/falcon-40b-openassistant-peft
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dataset_summary: "Dataset automatically created during the evaluation run of model\
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\ [dfurman/falcon-40b-openassistant-peft](https://huggingface.co/dfurman/falcon-40b-openassistant-peft)\
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\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
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\nThe dataset is composed of
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\ evaluated task.\n\nThe dataset has been created from
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\ found as a specific split in each configuration, the split being named using the\
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\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
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\nAn additional configuration \"results\" store all the aggregated results of the\
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@@ -12,172 +12,20 @@ dataset_summary: "Dataset automatically created during the evaluation run of mod
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\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
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\nTo load the details from a run, you can for instance do the following:\n```python\n\
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from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_dfurman__falcon-40b-openassistant-peft\"\
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,\n\t\"
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-
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\ that their might be results for other tasks in the repos if successive evals didn't\
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\ cover the same tasks. You find each in the results and the \"latest\" split for\
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\ each eval):\n\n```python\n{\n \"all\": {\n \"
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\ \"
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\ \"
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\ \"
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\ \"
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\
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\ },\n \"harness|
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\ \"
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\
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: {\n \"acc\": 0.35,\n \"acc_stderr\": 0.0479372485441102,\n \
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\ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.0479372485441102\n },\n\
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\ \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.5481481481481482,\n\
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\ \"acc_stderr\": 0.04299268905480864,\n \"acc_norm\": 0.5481481481481482,\n\
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\ \"acc_norm_stderr\": 0.04299268905480864\n },\n \"harness|hendrycksTest-astronomy|5\"\
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: {\n \"acc\": 0.5855263157894737,\n \"acc_stderr\": 0.04008973785779206,\n\
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\ \"acc_norm\": 0.5855263157894737,\n \"acc_norm_stderr\": 0.04008973785779206\n\
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-
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.57,\n\
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\ \"acc_stderr\": 0.049756985195624284,\n \"acc_norm\": 0.57,\n \
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\ \"acc_norm_stderr\": 0.049756985195624284\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
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: {\n \"acc\": 0.5924528301886792,\n \"acc_stderr\": 0.030242233800854494,\n\
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\ \"acc_norm\": 0.5924528301886792,\n \"acc_norm_stderr\": 0.030242233800854494\n\
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\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6666666666666666,\n\
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\ \"acc_stderr\": 0.03942082639927213,\n \"acc_norm\": 0.6666666666666666,\n\
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\ \"acc_norm_stderr\": 0.03942082639927213\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
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: {\n \"acc\": 0.46,\n \"acc_stderr\": 0.05009082659620333,\n \
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\ \"acc_norm\": 0.46,\n \"acc_norm_stderr\": 0.05009082659620333\n \
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\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
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: 0.47,\n \"acc_stderr\": 0.050161355804659205,\n \"acc_norm\": 0.47,\n\
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\ \"acc_norm_stderr\": 0.050161355804659205\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
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: {\n \"acc\": 0.37,\n \"acc_stderr\": 0.04852365870939099,\n \
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\ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.04852365870939099\n \
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\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.5433526011560693,\n\
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\ \"acc_stderr\": 0.03798106566014498,\n \"acc_norm\": 0.5433526011560693,\n\
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\ \"acc_norm_stderr\": 0.03798106566014498\n },\n \"harness|hendrycksTest-college_physics|5\"\
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: {\n \"acc\": 0.23529411764705882,\n \"acc_stderr\": 0.04220773659171453,\n\
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\ \"acc_norm\": 0.23529411764705882,\n \"acc_norm_stderr\": 0.04220773659171453\n\
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\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
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\ 0.64,\n \"acc_stderr\": 0.04824181513244218,\n \"acc_norm\": 0.64,\n\
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| 58 |
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\ \"acc_norm_stderr\": 0.04824181513244218\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
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: {\n \"acc\": 0.451063829787234,\n \"acc_stderr\": 0.032529096196131965,\n\
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\ \"acc_norm\": 0.451063829787234,\n \"acc_norm_stderr\": 0.032529096196131965\n\
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\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.3333333333333333,\n\
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\ \"acc_stderr\": 0.044346007015849245,\n \"acc_norm\": 0.3333333333333333,\n\
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\ \"acc_norm_stderr\": 0.044346007015849245\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
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: {\n \"acc\": 0.5310344827586206,\n \"acc_stderr\": 0.04158632762097828,\n\
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\ \"acc_norm\": 0.5310344827586206,\n \"acc_norm_stderr\": 0.04158632762097828\n\
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\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
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: 0.335978835978836,\n \"acc_stderr\": 0.024326310529149138,\n \"\
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acc_norm\": 0.335978835978836,\n \"acc_norm_stderr\": 0.024326310529149138\n\
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\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.30952380952380953,\n\
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\ \"acc_stderr\": 0.04134913018303316,\n \"acc_norm\": 0.30952380952380953,\n\
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\ \"acc_norm_stderr\": 0.04134913018303316\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\": 0.6806451612903226,\n\
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\ \"acc_stderr\": 0.026522709674667768,\n \"acc_norm\": 0.6806451612903226,\n\
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\ \"acc_norm_stderr\": 0.026522709674667768\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
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: {\n \"acc\": 0.4482758620689655,\n \"acc_stderr\": 0.034991131376767445,\n\
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\ \"acc_norm\": 0.4482758620689655,\n \"acc_norm_stderr\": 0.034991131376767445\n\
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\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
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\ \"acc\": 0.61,\n \"acc_stderr\": 0.04902071300001975,\n \"acc_norm\"\
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: 0.61,\n \"acc_norm_stderr\": 0.04902071300001975\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
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: {\n \"acc\": 0.696969696969697,\n \"acc_stderr\": 0.03588624800091707,\n\
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\ \"acc_norm\": 0.696969696969697,\n \"acc_norm_stderr\": 0.03588624800091707\n\
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\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
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: 0.7474747474747475,\n \"acc_stderr\": 0.030954055470365897,\n \"\
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acc_norm\": 0.7474747474747475,\n \"acc_norm_stderr\": 0.030954055470365897\n\
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\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
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\ \"acc\": 0.772020725388601,\n \"acc_stderr\": 0.030276909945178256,\n\
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\ \"acc_norm\": 0.772020725388601,\n \"acc_norm_stderr\": 0.030276909945178256\n\
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\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
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\ \"acc\": 0.5461538461538461,\n \"acc_stderr\": 0.025242770987126184,\n\
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\ \"acc_norm\": 0.5461538461538461,\n \"acc_norm_stderr\": 0.025242770987126184\n\
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\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
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acc\": 0.3111111111111111,\n \"acc_stderr\": 0.028226446749683515,\n \
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\ \"acc_norm\": 0.3111111111111111,\n \"acc_norm_stderr\": 0.028226446749683515\n\
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\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
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\ \"acc\": 0.5630252100840336,\n \"acc_stderr\": 0.03221943636566196,\n \
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\ \"acc_norm\": 0.5630252100840336,\n \"acc_norm_stderr\": 0.03221943636566196\n\
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\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
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: 0.32450331125827814,\n \"acc_stderr\": 0.03822746937658754,\n \"\
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acc_norm\": 0.32450331125827814,\n \"acc_norm_stderr\": 0.03822746937658754\n\
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\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
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: 0.7761467889908257,\n \"acc_stderr\": 0.017871217767790215,\n \"\
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| 104 |
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acc_norm\": 0.7761467889908257,\n \"acc_norm_stderr\": 0.017871217767790215\n\
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\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
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: 0.48148148148148145,\n \"acc_stderr\": 0.03407632093854053,\n \"\
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| 107 |
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acc_norm\": 0.48148148148148145,\n \"acc_norm_stderr\": 0.03407632093854053\n\
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\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
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: 0.7254901960784313,\n \"acc_stderr\": 0.031321798030832904,\n \"\
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| 110 |
-
acc_norm\": 0.7254901960784313,\n \"acc_norm_stderr\": 0.031321798030832904\n\
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\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
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acc\": 0.6962025316455697,\n \"acc_stderr\": 0.029936696387138615,\n \
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\ \"acc_norm\": 0.6962025316455697,\n \"acc_norm_stderr\": 0.029936696387138615\n\
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\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.726457399103139,\n\
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\ \"acc_stderr\": 0.02991858670779882,\n \"acc_norm\": 0.726457399103139,\n\
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\ \"acc_norm_stderr\": 0.02991858670779882\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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\ 0.6859504132231405,\n \"acc_stderr\": 0.042369647530410184,\n \"\
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acc_norm\": 0.6859504132231405,\n \"acc_norm_stderr\": 0.042369647530410184\n\
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\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7129629629629629,\n\
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\ \"acc_stderr\": 0.043733130409147614,\n \"acc_norm\": 0.7129629629629629,\n\
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\ \"acc_norm_stderr\": 0.043733130409147614\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
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: {\n \"acc\": 0.6871165644171779,\n \"acc_stderr\": 0.03642914578292404,\n\
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\ \"acc_norm\": 0.6871165644171779,\n \"acc_norm_stderr\": 0.03642914578292404\n\
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\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.29464285714285715,\n\
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\ \"acc_stderr\": 0.04327040932578727,\n \"acc_norm\": 0.29464285714285715,\n\
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\ \"acc_norm_stderr\": 0.04327040932578727\n },\n \"harness|hendrycksTest-management|5\"\
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: {\n \"acc\": 0.7864077669902912,\n \"acc_stderr\": 0.040580420156460344,\n\
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\ \"acc_norm\": 0.7864077669902912,\n \"acc_norm_stderr\": 0.040580420156460344\n\
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\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.811965811965812,\n\
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\ \"acc_stderr\": 0.025598193686652247,\n \"acc_norm\": 0.811965811965812,\n\
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\ \"acc_norm_stderr\": 0.025598193686652247\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
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| 135 |
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: {\n \"acc\": 0.67,\n \"acc_stderr\": 0.047258156262526094,\n \
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\ \"acc_norm\": 0.67,\n \"acc_norm_stderr\": 0.047258156262526094\n \
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\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.7573435504469987,\n\
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| 138 |
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\ \"acc_stderr\": 0.015329888940899863,\n \"acc_norm\": 0.7573435504469987,\n\
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| 139 |
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\ \"acc_norm_stderr\": 0.015329888940899863\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
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| 140 |
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: {\n \"acc\": 0.6502890173410405,\n \"acc_stderr\": 0.025674281456531018,\n\
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\ \"acc_norm\": 0.6502890173410405,\n \"acc_norm_stderr\": 0.025674281456531018\n\
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\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.329608938547486,\n\
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\ \"acc_stderr\": 0.015721531075183877,\n \"acc_norm\": 0.329608938547486,\n\
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| 144 |
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\ \"acc_norm_stderr\": 0.015721531075183877\n },\n \"harness|hendrycksTest-nutrition|5\"\
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| 145 |
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: {\n \"acc\": 0.6666666666666666,\n \"acc_stderr\": 0.02699254433929723,\n\
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\ \"acc_norm\": 0.6666666666666666,\n \"acc_norm_stderr\": 0.02699254433929723\n\
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\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6752411575562701,\n\
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\ \"acc_stderr\": 0.026596782287697043,\n \"acc_norm\": 0.6752411575562701,\n\
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| 149 |
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\ \"acc_norm_stderr\": 0.026596782287697043\n },\n \"harness|hendrycksTest-prehistory|5\"\
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| 150 |
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: {\n \"acc\": 0.6635802469135802,\n \"acc_stderr\": 0.026289734945952926,\n\
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\ \"acc_norm\": 0.6635802469135802,\n \"acc_norm_stderr\": 0.026289734945952926\n\
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\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
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| 153 |
-
acc\": 0.4574468085106383,\n \"acc_stderr\": 0.029719281272236848,\n \
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| 154 |
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\ \"acc_norm\": 0.4574468085106383,\n \"acc_norm_stderr\": 0.029719281272236848\n\
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| 155 |
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\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4426336375488918,\n\
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| 156 |
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\ \"acc_stderr\": 0.01268590653820624,\n \"acc_norm\": 0.4426336375488918,\n\
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| 157 |
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\ \"acc_norm_stderr\": 0.01268590653820624\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
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| 158 |
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: {\n \"acc\": 0.6139705882352942,\n \"acc_stderr\": 0.029573269134411124,\n\
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| 159 |
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\ \"acc_norm\": 0.6139705882352942,\n \"acc_norm_stderr\": 0.029573269134411124\n\
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| 160 |
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\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
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| 161 |
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acc\": 0.5833333333333334,\n \"acc_stderr\": 0.01994491413687358,\n \
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| 162 |
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\ \"acc_norm\": 0.5833333333333334,\n \"acc_norm_stderr\": 0.01994491413687358\n\
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\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6454545454545455,\n\
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| 164 |
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\ \"acc_stderr\": 0.045820048415054174,\n \"acc_norm\": 0.6454545454545455,\n\
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| 165 |
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\ \"acc_norm_stderr\": 0.045820048415054174\n },\n \"harness|hendrycksTest-security_studies|5\"\
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| 166 |
-
: {\n \"acc\": 0.6775510204081633,\n \"acc_stderr\": 0.02992310056368391,\n\
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| 167 |
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\ \"acc_norm\": 0.6775510204081633,\n \"acc_norm_stderr\": 0.02992310056368391\n\
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| 168 |
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\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8109452736318408,\n\
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| 169 |
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\ \"acc_stderr\": 0.027686913588013024,\n \"acc_norm\": 0.8109452736318408,\n\
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| 170 |
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\ \"acc_norm_stderr\": 0.027686913588013024\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
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| 171 |
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: {\n \"acc\": 0.84,\n \"acc_stderr\": 0.03684529491774708,\n \
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| 172 |
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\ \"acc_norm\": 0.84,\n \"acc_norm_stderr\": 0.03684529491774708\n \
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\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.4759036144578313,\n\
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\ \"acc_stderr\": 0.038879718495972646,\n \"acc_norm\": 0.4759036144578313,\n\
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\ \"acc_norm_stderr\": 0.038879718495972646\n },\n \"harness|hendrycksTest-world_religions|5\"\
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: {\n \"acc\": 0.8362573099415205,\n \"acc_stderr\": 0.028380919596145866,\n\
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\ \"acc_norm\": 0.8362573099415205,\n \"acc_norm_stderr\": 0.028380919596145866\n\
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\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.35128518971848227,\n\
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\ \"mc1_stderr\": 0.016711358163544403,\n \"mc2\": 0.5101760995965263,\n\
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\ \"mc2_stderr\": 0.014328841845635439\n }\n}\n```"
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repo_url: https://huggingface.co/dfurman/falcon-40b-openassistant-peft
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leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
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point_of_contact: [email protected]
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- split: latest
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path:
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- '**/details_harness|arc:challenge|25_2023-09-13T08-57-30.972897.parquet'
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- config_name: harness_hellaswag_10
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data_files:
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- split: 2023_09_13T08_57_30.972897
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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_2023-09-13T08-57-30.972897.parquet'
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| 785 |
- config_name: results
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| 786 |
data_files:
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| 787 |
- split: 2023_09_13T08_57_30.972897
|
| 788 |
path:
|
| 789 |
- results_2023-09-13T08-57-30.972897.parquet
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| 790 |
- split: latest
|
| 791 |
path:
|
| 792 |
-
- results_2023-
|
| 793 |
---
|
| 794 |
|
| 795 |
# Dataset Card for Evaluation run of dfurman/falcon-40b-openassistant-peft
|
|
@@ -806,9 +681,9 @@ configs:
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|
| 806 |
|
| 807 |
Dataset automatically created during the evaluation run of model [dfurman/falcon-40b-openassistant-peft](https://huggingface.co/dfurman/falcon-40b-openassistant-peft) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
|
| 808 |
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| 809 |
-
The dataset is composed of
|
| 810 |
|
| 811 |
-
The dataset has been created from
|
| 812 |
|
| 813 |
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
|
| 814 |
|
|
@@ -816,385 +691,37 @@ To load the details from a run, you can for instance do the following:
|
|
| 816 |
```python
|
| 817 |
from datasets import load_dataset
|
| 818 |
data = load_dataset("open-llm-leaderboard/details_dfurman__falcon-40b-openassistant-peft",
|
| 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": 0.35,
|
| 853 |
-
"acc_stderr": 0.0479372485441102,
|
| 854 |
-
"acc_norm": 0.35,
|
| 855 |
-
"acc_norm_stderr": 0.0479372485441102
|
| 856 |
-
},
|
| 857 |
-
"harness|hendrycksTest-anatomy|5": {
|
| 858 |
-
"acc": 0.5481481481481482,
|
| 859 |
-
"acc_stderr": 0.04299268905480864,
|
| 860 |
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"acc_norm": 0.5481481481481482,
|
| 861 |
-
"acc_norm_stderr": 0.04299268905480864
|
| 862 |
-
},
|
| 863 |
-
"harness|hendrycksTest-astronomy|5": {
|
| 864 |
-
"acc": 0.5855263157894737,
|
| 865 |
-
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|
| 866 |
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"acc_norm": 0.5855263157894737,
|
| 867 |
-
"acc_norm_stderr": 0.04008973785779206
|
| 868 |
-
},
|
| 869 |
-
"harness|hendrycksTest-business_ethics|5": {
|
| 870 |
-
"acc": 0.57,
|
| 871 |
-
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|
| 872 |
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"acc_norm": 0.57,
|
| 873 |
-
"acc_norm_stderr": 0.049756985195624284
|
| 874 |
-
},
|
| 875 |
-
"harness|hendrycksTest-clinical_knowledge|5": {
|
| 876 |
-
"acc": 0.5924528301886792,
|
| 877 |
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|
| 878 |
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"acc_norm": 0.5924528301886792,
|
| 879 |
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"acc_norm_stderr": 0.030242233800854494
|
| 880 |
-
},
|
| 881 |
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"harness|hendrycksTest-college_biology|5": {
|
| 882 |
-
"acc": 0.6666666666666666,
|
| 883 |
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|
| 884 |
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"acc_norm": 0.6666666666666666,
|
| 885 |
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"acc_norm_stderr": 0.03942082639927213
|
| 886 |
-
},
|
| 887 |
-
"harness|hendrycksTest-college_chemistry|5": {
|
| 888 |
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"acc": 0.46,
|
| 889 |
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"acc_stderr": 0.05009082659620333,
|
| 890 |
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"acc_norm": 0.46,
|
| 891 |
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"acc_norm_stderr": 0.05009082659620333
|
| 892 |
-
},
|
| 893 |
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"harness|hendrycksTest-college_computer_science|5": {
|
| 894 |
-
"acc": 0.47,
|
| 895 |
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"acc_stderr": 0.050161355804659205,
|
| 896 |
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"acc_norm": 0.47,
|
| 897 |
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"acc_norm_stderr": 0.050161355804659205
|
| 898 |
-
},
|
| 899 |
-
"harness|hendrycksTest-college_mathematics|5": {
|
| 900 |
-
"acc": 0.37,
|
| 901 |
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"acc_stderr": 0.04852365870939099,
|
| 902 |
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"acc_norm": 0.37,
|
| 903 |
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"acc_norm_stderr": 0.04852365870939099
|
| 904 |
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},
|
| 905 |
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"harness|hendrycksTest-college_medicine|5": {
|
| 906 |
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"acc": 0.5433526011560693,
|
| 907 |
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"acc_norm": 0.5433526011560693,
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| 909 |
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|
| 910 |
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|
| 911 |
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"harness|hendrycksTest-college_physics|5": {
|
| 912 |
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"acc": 0.23529411764705882,
|
| 913 |
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"acc_norm": 0.23529411764705882,
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| 915 |
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|
| 916 |
-
},
|
| 917 |
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"harness|hendrycksTest-computer_security|5": {
|
| 918 |
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"acc": 0.64,
|
| 919 |
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|
| 920 |
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"acc_norm": 0.64,
|
| 921 |
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"acc_norm_stderr": 0.04824181513244218
|
| 922 |
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},
|
| 923 |
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"harness|hendrycksTest-conceptual_physics|5": {
|
| 924 |
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|
| 925 |
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| 927 |
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|
| 928 |
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},
|
| 929 |
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"harness|hendrycksTest-econometrics|5": {
|
| 930 |
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|
| 931 |
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|
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| 933 |
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|
| 934 |
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},
|
| 935 |
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|
| 936 |
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| 937 |
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|
| 940 |
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|
| 941 |
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|
| 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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|
| 948 |
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|
| 949 |
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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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| 956 |
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| 958 |
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|
| 959 |
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|
| 960 |
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| 964 |
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| 965 |
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|
| 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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| 972 |
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| 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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| 982 |
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},
|
| 983 |
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|
| 984 |
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| 985 |
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| 987 |
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|
| 988 |
-
},
|
| 989 |
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"harness|hendrycksTest-high_school_government_and_politics|5": {
|
| 990 |
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|
| 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": 0.5461538461538461,
|
| 997 |
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| 999 |
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"acc_norm_stderr": 0.025242770987126184
|
| 1000 |
-
},
|
| 1001 |
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"harness|hendrycksTest-high_school_mathematics|5": {
|
| 1002 |
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"acc": 0.3111111111111111,
|
| 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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|
| 1020 |
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|
| 1021 |
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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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|
| 1032 |
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|
| 1033 |
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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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| 1041 |
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| 1042 |
-
},
|
| 1043 |
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"harness|hendrycksTest-human_aging|5": {
|
| 1044 |
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| 1045 |
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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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|
| 1053 |
-
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|
| 1054 |
-
},
|
| 1055 |
-
"harness|hendrycksTest-international_law|5": {
|
| 1056 |
-
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|
| 1057 |
-
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| 1059 |
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"acc_norm_stderr": 0.042369647530410184
|
| 1060 |
-
},
|
| 1061 |
-
"harness|hendrycksTest-jurisprudence|5": {
|
| 1062 |
-
"acc": 0.7129629629629629,
|
| 1063 |
-
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| 1064 |
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|
| 1065 |
-
"acc_norm_stderr": 0.043733130409147614
|
| 1066 |
-
},
|
| 1067 |
-
"harness|hendrycksTest-logical_fallacies|5": {
|
| 1068 |
-
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|
| 1069 |
-
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|
| 1070 |
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"acc_norm": 0.6871165644171779,
|
| 1071 |
-
"acc_norm_stderr": 0.03642914578292404
|
| 1072 |
-
},
|
| 1073 |
-
"harness|hendrycksTest-machine_learning|5": {
|
| 1074 |
-
"acc": 0.29464285714285715,
|
| 1075 |
-
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|
| 1076 |
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|
| 1077 |
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"acc_norm_stderr": 0.04327040932578727
|
| 1078 |
-
},
|
| 1079 |
-
"harness|hendrycksTest-management|5": {
|
| 1080 |
-
"acc": 0.7864077669902912,
|
| 1081 |
-
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|
| 1082 |
-
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| 1083 |
-
"acc_norm_stderr": 0.040580420156460344
|
| 1084 |
-
},
|
| 1085 |
-
"harness|hendrycksTest-marketing|5": {
|
| 1086 |
-
"acc": 0.811965811965812,
|
| 1087 |
-
"acc_stderr": 0.025598193686652247,
|
| 1088 |
-
"acc_norm": 0.811965811965812,
|
| 1089 |
-
"acc_norm_stderr": 0.025598193686652247
|
| 1090 |
-
},
|
| 1091 |
-
"harness|hendrycksTest-medical_genetics|5": {
|
| 1092 |
-
"acc": 0.67,
|
| 1093 |
-
"acc_stderr": 0.047258156262526094,
|
| 1094 |
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"acc_norm": 0.67,
|
| 1095 |
-
"acc_norm_stderr": 0.047258156262526094
|
| 1096 |
-
},
|
| 1097 |
-
"harness|hendrycksTest-miscellaneous|5": {
|
| 1098 |
-
"acc": 0.7573435504469987,
|
| 1099 |
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"acc_stderr": 0.015329888940899863,
|
| 1100 |
-
"acc_norm": 0.7573435504469987,
|
| 1101 |
-
"acc_norm_stderr": 0.015329888940899863
|
| 1102 |
-
},
|
| 1103 |
-
"harness|hendrycksTest-moral_disputes|5": {
|
| 1104 |
-
"acc": 0.6502890173410405,
|
| 1105 |
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| 1106 |
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| 1107 |
-
"acc_norm_stderr": 0.025674281456531018
|
| 1108 |
-
},
|
| 1109 |
-
"harness|hendrycksTest-moral_scenarios|5": {
|
| 1110 |
-
"acc": 0.329608938547486,
|
| 1111 |
-
"acc_stderr": 0.015721531075183877,
|
| 1112 |
-
"acc_norm": 0.329608938547486,
|
| 1113 |
-
"acc_norm_stderr": 0.015721531075183877
|
| 1114 |
-
},
|
| 1115 |
-
"harness|hendrycksTest-nutrition|5": {
|
| 1116 |
-
"acc": 0.6666666666666666,
|
| 1117 |
-
"acc_stderr": 0.02699254433929723,
|
| 1118 |
-
"acc_norm": 0.6666666666666666,
|
| 1119 |
-
"acc_norm_stderr": 0.02699254433929723
|
| 1120 |
-
},
|
| 1121 |
-
"harness|hendrycksTest-philosophy|5": {
|
| 1122 |
-
"acc": 0.6752411575562701,
|
| 1123 |
-
"acc_stderr": 0.026596782287697043,
|
| 1124 |
-
"acc_norm": 0.6752411575562701,
|
| 1125 |
-
"acc_norm_stderr": 0.026596782287697043
|
| 1126 |
-
},
|
| 1127 |
-
"harness|hendrycksTest-prehistory|5": {
|
| 1128 |
-
"acc": 0.6635802469135802,
|
| 1129 |
-
"acc_stderr": 0.026289734945952926,
|
| 1130 |
-
"acc_norm": 0.6635802469135802,
|
| 1131 |
-
"acc_norm_stderr": 0.026289734945952926
|
| 1132 |
-
},
|
| 1133 |
-
"harness|hendrycksTest-professional_accounting|5": {
|
| 1134 |
-
"acc": 0.4574468085106383,
|
| 1135 |
-
"acc_stderr": 0.029719281272236848,
|
| 1136 |
-
"acc_norm": 0.4574468085106383,
|
| 1137 |
-
"acc_norm_stderr": 0.029719281272236848
|
| 1138 |
-
},
|
| 1139 |
-
"harness|hendrycksTest-professional_law|5": {
|
| 1140 |
-
"acc": 0.4426336375488918,
|
| 1141 |
-
"acc_stderr": 0.01268590653820624,
|
| 1142 |
-
"acc_norm": 0.4426336375488918,
|
| 1143 |
-
"acc_norm_stderr": 0.01268590653820624
|
| 1144 |
-
},
|
| 1145 |
-
"harness|hendrycksTest-professional_medicine|5": {
|
| 1146 |
-
"acc": 0.6139705882352942,
|
| 1147 |
-
"acc_stderr": 0.029573269134411124,
|
| 1148 |
-
"acc_norm": 0.6139705882352942,
|
| 1149 |
-
"acc_norm_stderr": 0.029573269134411124
|
| 1150 |
-
},
|
| 1151 |
-
"harness|hendrycksTest-professional_psychology|5": {
|
| 1152 |
-
"acc": 0.5833333333333334,
|
| 1153 |
-
"acc_stderr": 0.01994491413687358,
|
| 1154 |
-
"acc_norm": 0.5833333333333334,
|
| 1155 |
-
"acc_norm_stderr": 0.01994491413687358
|
| 1156 |
-
},
|
| 1157 |
-
"harness|hendrycksTest-public_relations|5": {
|
| 1158 |
-
"acc": 0.6454545454545455,
|
| 1159 |
-
"acc_stderr": 0.045820048415054174,
|
| 1160 |
-
"acc_norm": 0.6454545454545455,
|
| 1161 |
-
"acc_norm_stderr": 0.045820048415054174
|
| 1162 |
-
},
|
| 1163 |
-
"harness|hendrycksTest-security_studies|5": {
|
| 1164 |
-
"acc": 0.6775510204081633,
|
| 1165 |
-
"acc_stderr": 0.02992310056368391,
|
| 1166 |
-
"acc_norm": 0.6775510204081633,
|
| 1167 |
-
"acc_norm_stderr": 0.02992310056368391
|
| 1168 |
-
},
|
| 1169 |
-
"harness|hendrycksTest-sociology|5": {
|
| 1170 |
-
"acc": 0.8109452736318408,
|
| 1171 |
-
"acc_stderr": 0.027686913588013024,
|
| 1172 |
-
"acc_norm": 0.8109452736318408,
|
| 1173 |
-
"acc_norm_stderr": 0.027686913588013024
|
| 1174 |
-
},
|
| 1175 |
-
"harness|hendrycksTest-us_foreign_policy|5": {
|
| 1176 |
-
"acc": 0.84,
|
| 1177 |
-
"acc_stderr": 0.03684529491774708,
|
| 1178 |
-
"acc_norm": 0.84,
|
| 1179 |
-
"acc_norm_stderr": 0.03684529491774708
|
| 1180 |
-
},
|
| 1181 |
-
"harness|hendrycksTest-virology|5": {
|
| 1182 |
-
"acc": 0.4759036144578313,
|
| 1183 |
-
"acc_stderr": 0.038879718495972646,
|
| 1184 |
-
"acc_norm": 0.4759036144578313,
|
| 1185 |
-
"acc_norm_stderr": 0.038879718495972646
|
| 1186 |
-
},
|
| 1187 |
-
"harness|hendrycksTest-world_religions|5": {
|
| 1188 |
-
"acc": 0.8362573099415205,
|
| 1189 |
-
"acc_stderr": 0.028380919596145866,
|
| 1190 |
-
"acc_norm": 0.8362573099415205,
|
| 1191 |
-
"acc_norm_stderr": 0.028380919596145866
|
| 1192 |
-
},
|
| 1193 |
-
"harness|truthfulqa:mc|0": {
|
| 1194 |
-
"mc1": 0.35128518971848227,
|
| 1195 |
-
"mc1_stderr": 0.016711358163544403,
|
| 1196 |
-
"mc2": 0.5101760995965263,
|
| 1197 |
-
"mc2_stderr": 0.014328841845635439
|
| 1198 |
}
|
| 1199 |
}
|
| 1200 |
```
|
|
|
|
| 3 |
dataset_summary: "Dataset automatically created during the evaluation run of model\
|
| 4 |
\ [dfurman/falcon-40b-openassistant-peft](https://huggingface.co/dfurman/falcon-40b-openassistant-peft)\
|
| 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_dfurman__falcon-40b-openassistant-peft\"\
|
| 15 |
+
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
|
| 16 |
+
These are the [latest results from run 2023-10-28T22:59:49.986457](https://huggingface.co/datasets/open-llm-leaderboard/details_dfurman__falcon-40b-openassistant-peft/blob/main/results_2023-10-28T22-59-49.986457.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\": 0.004299496644295302,\n\
|
| 20 |
+
\ \"em_stderr\": 0.0006700586558630089,\n \"f1\": 0.06359060402684574,\n\
|
| 21 |
+
\ \"f1_stderr\": 0.0014332954865830501,\n \"acc\": 0.4739784570478341,\n\
|
| 22 |
+
\ \"acc_stderr\": 0.010145228456462492\n },\n \"harness|drop|3\": {\n\
|
| 23 |
+
\ \"em\": 0.004299496644295302,\n \"em_stderr\": 0.0006700586558630089,\n\
|
| 24 |
+
\ \"f1\": 0.06359060402684574,\n \"f1_stderr\": 0.0014332954865830501\n\
|
| 25 |
+
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.133434420015163,\n \
|
| 26 |
+
\ \"acc_stderr\": 0.00936649160978448\n },\n \"harness|winogrande|5\": {\n\
|
| 27 |
+
\ \"acc\": 0.8145224940805051,\n \"acc_stderr\": 0.010923965303140505\n\
|
| 28 |
+
\ }\n}\n```"
|
|
|
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|
| 29 |
repo_url: https://huggingface.co/dfurman/falcon-40b-openassistant-peft
|
| 30 |
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
|
| 31 |
point_of_contact: [email protected]
|
|
|
|
| 38 |
- split: latest
|
| 39 |
path:
|
| 40 |
- '**/details_harness|arc:challenge|25_2023-09-13T08-57-30.972897.parquet'
|
| 41 |
+
- config_name: harness_drop_3
|
| 42 |
+
data_files:
|
| 43 |
+
- split: 2023_10_28T22_59_49.986457
|
| 44 |
+
path:
|
| 45 |
+
- '**/details_harness|drop|3_2023-10-28T22-59-49.986457.parquet'
|
| 46 |
+
- split: latest
|
| 47 |
+
path:
|
| 48 |
+
- '**/details_harness|drop|3_2023-10-28T22-59-49.986457.parquet'
|
| 49 |
+
- config_name: harness_gsm8k_5
|
| 50 |
+
data_files:
|
| 51 |
+
- split: 2023_10_28T22_59_49.986457
|
| 52 |
+
path:
|
| 53 |
+
- '**/details_harness|gsm8k|5_2023-10-28T22-59-49.986457.parquet'
|
| 54 |
+
- split: latest
|
| 55 |
+
path:
|
| 56 |
+
- '**/details_harness|gsm8k|5_2023-10-28T22-59-49.986457.parquet'
|
| 57 |
- config_name: harness_hellaswag_10
|
| 58 |
data_files:
|
| 59 |
- split: 2023_09_13T08_57_30.972897
|
|
|
|
| 646 |
- split: latest
|
| 647 |
path:
|
| 648 |
- '**/details_harness|truthfulqa:mc|0_2023-09-13T08-57-30.972897.parquet'
|
| 649 |
+
- config_name: harness_winogrande_5
|
| 650 |
+
data_files:
|
| 651 |
+
- split: 2023_10_28T22_59_49.986457
|
| 652 |
+
path:
|
| 653 |
+
- '**/details_harness|winogrande|5_2023-10-28T22-59-49.986457.parquet'
|
| 654 |
+
- split: latest
|
| 655 |
+
path:
|
| 656 |
+
- '**/details_harness|winogrande|5_2023-10-28T22-59-49.986457.parquet'
|
| 657 |
- config_name: results
|
| 658 |
data_files:
|
| 659 |
- split: 2023_09_13T08_57_30.972897
|
| 660 |
path:
|
| 661 |
- results_2023-09-13T08-57-30.972897.parquet
|
| 662 |
+
- split: 2023_10_28T22_59_49.986457
|
| 663 |
+
path:
|
| 664 |
+
- results_2023-10-28T22-59-49.986457.parquet
|
| 665 |
- split: latest
|
| 666 |
path:
|
| 667 |
+
- results_2023-10-28T22-59-49.986457.parquet
|
| 668 |
---
|
| 669 |
|
| 670 |
# Dataset Card for Evaluation run of dfurman/falcon-40b-openassistant-peft
|
|
|
|
| 681 |
|
| 682 |
Dataset automatically created during the evaluation run of model [dfurman/falcon-40b-openassistant-peft](https://huggingface.co/dfurman/falcon-40b-openassistant-peft) 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_dfurman__falcon-40b-openassistant-peft",
|
| 694 |
+
"harness_winogrande_5",
|
| 695 |
split="train")
|
| 696 |
```
|
| 697 |
|
| 698 |
## Latest results
|
| 699 |
|
| 700 |
+
These are the [latest results from run 2023-10-28T22:59:49.986457](https://huggingface.co/datasets/open-llm-leaderboard/details_dfurman__falcon-40b-openassistant-peft/blob/main/results_2023-10-28T22-59-49.986457.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": 0.004299496644295302,
|
| 706 |
+
"em_stderr": 0.0006700586558630089,
|
| 707 |
+
"f1": 0.06359060402684574,
|
| 708 |
+
"f1_stderr": 0.0014332954865830501,
|
| 709 |
+
"acc": 0.4739784570478341,
|
| 710 |
+
"acc_stderr": 0.010145228456462492
|
| 711 |
+
},
|
| 712 |
+
"harness|drop|3": {
|
| 713 |
+
"em": 0.004299496644295302,
|
| 714 |
+
"em_stderr": 0.0006700586558630089,
|
| 715 |
+
"f1": 0.06359060402684574,
|
| 716 |
+
"f1_stderr": 0.0014332954865830501
|
| 717 |
+
},
|
| 718 |
+
"harness|gsm8k|5": {
|
| 719 |
+
"acc": 0.133434420015163,
|
| 720 |
+
"acc_stderr": 0.00936649160978448
|
| 721 |
+
},
|
| 722 |
+
"harness|winogrande|5": {
|
| 723 |
+
"acc": 0.8145224940805051,
|
| 724 |
+
"acc_stderr": 0.010923965303140505
|
|
|
|
|
|
|
|
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| 725 |
}
|
| 726 |
}
|
| 727 |
```
|