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Parent(s):
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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 ehartford/Wizard-Vicuna-13B-Uncensored
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dataset_summary: "Dataset automatically created during the evaluation run of model\
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\ [ehartford/Wizard-Vicuna-13B-Uncensored](https://huggingface.co/ehartford/Wizard-Vicuna-13B-Uncensored)\
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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_ehartford__Wizard-Vicuna-13B-Uncensored\"\
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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\": 0.3,\n \"acc_stderr\": 0.046056618647183814,\n \
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\ \"acc_norm\": 0.3,\n \"acc_norm_stderr\": 0.046056618647183814\n \
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\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.4666666666666667,\n\
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\ \"acc_stderr\": 0.043097329010363554,\n \"acc_norm\": 0.4666666666666667,\n\
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\ \"acc_norm_stderr\": 0.043097329010363554\n },\n \"harness|hendrycksTest-astronomy|5\"\
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: {\n \"acc\": 0.47368421052631576,\n \"acc_stderr\": 0.04063302731486671,\n\
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\ \"acc_norm\": 0.47368421052631576,\n \"acc_norm_stderr\": 0.04063302731486671\n\
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\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.49,\n\
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\ \"acc_stderr\": 0.05024183937956912,\n \"acc_norm\": 0.49,\n \
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\ \"acc_norm_stderr\": 0.05024183937956912\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
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: {\n \"acc\": 0.4716981132075472,\n \"acc_stderr\": 0.030723535249006107,\n\
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\ \"acc_norm\": 0.4716981132075472,\n \"acc_norm_stderr\": 0.030723535249006107\n\
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\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.4861111111111111,\n\
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\ \"acc_stderr\": 0.041795966175810016,\n \"acc_norm\": 0.4861111111111111,\n\
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\ \"acc_norm_stderr\": 0.041795966175810016\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
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: {\n \"acc\": 0.3,\n \"acc_stderr\": 0.046056618647183814,\n \
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\ \"acc_norm\": 0.3,\n \"acc_norm_stderr\": 0.046056618647183814\n \
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\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
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: 0.41,\n \"acc_stderr\": 0.049431107042371025,\n \"acc_norm\": 0.41,\n\
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\ \"acc_norm_stderr\": 0.049431107042371025\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
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: {\n \"acc\": 0.32,\n \"acc_stderr\": 0.04688261722621505,\n \
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\ \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.04688261722621505\n \
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\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.4046242774566474,\n\
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\ \"acc_stderr\": 0.03742461193887248,\n \"acc_norm\": 0.4046242774566474,\n\
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\ \"acc_norm_stderr\": 0.03742461193887248\n },\n \"harness|hendrycksTest-college_physics|5\"\
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: {\n \"acc\": 0.23529411764705882,\n \"acc_stderr\": 0.042207736591714534,\n\
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\ \"acc_norm\": 0.23529411764705882,\n \"acc_norm_stderr\": 0.042207736591714534\n\
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\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
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\ 0.59,\n \"acc_stderr\": 0.049431107042371025,\n \"acc_norm\": 0.59,\n\
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\ \"acc_norm_stderr\": 0.049431107042371025\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
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: {\n \"acc\": 0.41702127659574467,\n \"acc_stderr\": 0.032232762667117124,\n\
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\ \"acc_norm\": 0.41702127659574467,\n \"acc_norm_stderr\": 0.032232762667117124\n\
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\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.2982456140350877,\n\
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\ \"acc_stderr\": 0.04303684033537315,\n \"acc_norm\": 0.2982456140350877,\n\
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\ \"acc_norm_stderr\": 0.04303684033537315\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
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: {\n \"acc\": 0.4,\n \"acc_stderr\": 0.04082482904638628,\n \
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\ \"acc_norm\": 0.4,\n \"acc_norm_stderr\": 0.04082482904638628\n },\n\
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\ \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\": 0.25396825396825395,\n\
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\ \"acc_stderr\": 0.022418042891113946,\n \"acc_norm\": 0.25396825396825395,\n\
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\ \"acc_norm_stderr\": 0.022418042891113946\n },\n \"harness|hendrycksTest-formal_logic|5\"\
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: {\n \"acc\": 0.3492063492063492,\n \"acc_stderr\": 0.042639068927951315,\n\
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\ \"acc_norm\": 0.3492063492063492,\n \"acc_norm_stderr\": 0.042639068927951315\n\
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\ },\n \"harness|hendrycksTest-global_facts|5\": {\n \"acc\": 0.31,\n\
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\ \"acc_stderr\": 0.04648231987117316,\n \"acc_norm\": 0.31,\n \
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\ \"acc_norm_stderr\": 0.04648231987117316\n },\n \"harness|hendrycksTest-high_school_biology|5\"\
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: {\n \"acc\": 0.5193548387096775,\n \"acc_stderr\": 0.028422687404312107,\n\
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\ \"acc_norm\": 0.5193548387096775,\n \"acc_norm_stderr\": 0.028422687404312107\n\
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\ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\
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: 0.32019704433497537,\n \"acc_stderr\": 0.032826493853041504,\n \"\
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acc_norm\": 0.32019704433497537,\n \"acc_norm_stderr\": 0.032826493853041504\n\
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\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
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\ \"acc\": 0.52,\n \"acc_stderr\": 0.050211673156867795,\n \"acc_norm\"\
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: 0.52,\n \"acc_norm_stderr\": 0.050211673156867795\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
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: {\n \"acc\": 0.6242424242424243,\n \"acc_stderr\": 0.037818873532059816,\n\
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\ \"acc_norm\": 0.6242424242424243,\n \"acc_norm_stderr\": 0.037818873532059816\n\
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\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
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: 0.5555555555555556,\n \"acc_stderr\": 0.035402943770953675,\n \"\
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acc_norm\": 0.5555555555555556,\n \"acc_norm_stderr\": 0.035402943770953675\n\
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\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
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\ \"acc\": 0.6632124352331606,\n \"acc_stderr\": 0.03410780251836183,\n\
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\ \"acc_norm\": 0.6632124352331606,\n \"acc_norm_stderr\": 0.03410780251836183\n\
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\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
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\ \"acc\": 0.4230769230769231,\n \"acc_stderr\": 0.02504919787604234,\n \
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\ \"acc_norm\": 0.4230769230769231,\n \"acc_norm_stderr\": 0.02504919787604234\n\
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\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
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acc\": 0.2111111111111111,\n \"acc_stderr\": 0.02488211685765509,\n \
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\ \"acc_norm\": 0.2111111111111111,\n \"acc_norm_stderr\": 0.02488211685765509\n\
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\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
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\ \"acc\": 0.4411764705882353,\n \"acc_stderr\": 0.0322529423239964,\n \
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\ \"acc_norm\": 0.4411764705882353,\n \"acc_norm_stderr\": 0.0322529423239964\n\
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\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
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: 0.2251655629139073,\n \"acc_stderr\": 0.03410435282008937,\n \"\
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acc_norm\": 0.2251655629139073,\n \"acc_norm_stderr\": 0.03410435282008937\n\
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\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
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: 0.6238532110091743,\n \"acc_stderr\": 0.02076923196820508,\n \"\
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acc_norm\": 0.6238532110091743,\n \"acc_norm_stderr\": 0.02076923196820508\n\
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\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
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: 0.23148148148148148,\n \"acc_stderr\": 0.028765111718046955,\n \"\
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acc_norm\": 0.23148148148148148,\n \"acc_norm_stderr\": 0.028765111718046955\n\
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\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
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: 0.6519607843137255,\n \"acc_stderr\": 0.03343311240488418,\n \"\
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acc_norm\": 0.6519607843137255,\n \"acc_norm_stderr\": 0.03343311240488418\n\
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\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
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acc\": 0.6919831223628692,\n \"acc_stderr\": 0.030052389335605702,\n \
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\ \"acc_norm\": 0.6919831223628692,\n \"acc_norm_stderr\": 0.030052389335605702\n\
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\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.5695067264573991,\n\
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\ \"acc_stderr\": 0.033231973029429394,\n \"acc_norm\": 0.5695067264573991,\n\
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\ \"acc_norm_stderr\": 0.033231973029429394\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
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: {\n \"acc\": 0.5954198473282443,\n \"acc_stderr\": 0.043046937953806645,\n\
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\ \"acc_norm\": 0.5954198473282443,\n \"acc_norm_stderr\": 0.043046937953806645\n\
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\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
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\ 0.6694214876033058,\n \"acc_stderr\": 0.04294340845212094,\n \"\
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acc_norm\": 0.6694214876033058,\n \"acc_norm_stderr\": 0.04294340845212094\n\
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\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.5462962962962963,\n\
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\ \"acc_stderr\": 0.04812917324536823,\n \"acc_norm\": 0.5462962962962963,\n\
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\ \"acc_norm_stderr\": 0.04812917324536823\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
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: {\n \"acc\": 0.5460122699386503,\n \"acc_stderr\": 0.0391170190467718,\n\
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\ \"acc_norm\": 0.5460122699386503,\n \"acc_norm_stderr\": 0.0391170190467718\n\
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\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.375,\n\
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\ \"acc_stderr\": 0.04595091388086298,\n \"acc_norm\": 0.375,\n \
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\ \"acc_norm_stderr\": 0.04595091388086298\n },\n \"harness|hendrycksTest-management|5\"\
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: {\n \"acc\": 0.6019417475728155,\n \"acc_stderr\": 0.048467482539772386,\n\
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\ \"acc_norm\": 0.6019417475728155,\n \"acc_norm_stderr\": 0.048467482539772386\n\
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\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.7649572649572649,\n\
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\ \"acc_stderr\": 0.027778835904935444,\n \"acc_norm\": 0.7649572649572649,\n\
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\ \"acc_norm_stderr\": 0.027778835904935444\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
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: {\n \"acc\": 0.57,\n \"acc_stderr\": 0.049756985195624284,\n \
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\ \"acc_norm\": 0.57,\n \"acc_norm_stderr\": 0.049756985195624284\n \
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\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.6768837803320562,\n\
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\ \"acc_stderr\": 0.016723726512343048,\n \"acc_norm\": 0.6768837803320562,\n\
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\ \"acc_norm_stderr\": 0.016723726512343048\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
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: {\n \"acc\": 0.5086705202312138,\n \"acc_stderr\": 0.026915047355369804,\n\
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\ \"acc_norm\": 0.5086705202312138,\n \"acc_norm_stderr\": 0.026915047355369804\n\
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\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.24804469273743016,\n\
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\ \"acc_stderr\": 0.01444415780826144,\n \"acc_norm\": 0.24804469273743016,\n\
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\ \"acc_norm_stderr\": 0.01444415780826144\n },\n \"harness|hendrycksTest-nutrition|5\"\
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: {\n \"acc\": 0.5,\n \"acc_stderr\": 0.028629916715693413,\n \
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\ \"acc_norm\": 0.5,\n \"acc_norm_stderr\": 0.028629916715693413\n \
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\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.5530546623794212,\n\
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\ \"acc_stderr\": 0.028237769422085335,\n \"acc_norm\": 0.5530546623794212,\n\
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\ \"acc_norm_stderr\": 0.028237769422085335\n },\n \"harness|hendrycksTest-prehistory|5\"\
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: {\n \"acc\": 0.5370370370370371,\n \"acc_stderr\": 0.027744313443376536,\n\
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\ \"acc_norm\": 0.5370370370370371,\n \"acc_norm_stderr\": 0.027744313443376536\n\
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\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
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acc\": 0.3617021276595745,\n \"acc_stderr\": 0.028663820147199495,\n \
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\ \"acc_norm\": 0.3617021276595745,\n \"acc_norm_stderr\": 0.028663820147199495\n\
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\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.40547588005215124,\n\
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\ \"acc_stderr\": 0.012539960672377207,\n \"acc_norm\": 0.40547588005215124,\n\
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\ \"acc_norm_stderr\": 0.012539960672377207\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
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: {\n \"acc\": 0.49264705882352944,\n \"acc_stderr\": 0.030369552523902173,\n\
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\ \"acc_norm\": 0.49264705882352944,\n \"acc_norm_stderr\": 0.030369552523902173\n\
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\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
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acc\": 0.5081699346405228,\n \"acc_stderr\": 0.020225134343057272,\n \
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\ \"acc_norm\": 0.5081699346405228,\n \"acc_norm_stderr\": 0.020225134343057272\n\
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\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.5272727272727272,\n\
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\ \"acc_stderr\": 0.04782001791380061,\n \"acc_norm\": 0.5272727272727272,\n\
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\ \"acc_norm_stderr\": 0.04782001791380061\n },\n \"harness|hendrycksTest-security_studies|5\"\
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: {\n \"acc\": 0.5306122448979592,\n \"acc_stderr\": 0.031949171367580624,\n\
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\ \"acc_norm\": 0.5306122448979592,\n \"acc_norm_stderr\": 0.031949171367580624\n\
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\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.6368159203980099,\n\
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\ \"acc_stderr\": 0.034005985055990146,\n \"acc_norm\": 0.6368159203980099,\n\
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| 170 |
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\ \"acc_norm_stderr\": 0.034005985055990146\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
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: {\n \"acc\": 0.77,\n \"acc_stderr\": 0.04229525846816505,\n \
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\ \"acc_norm\": 0.77,\n \"acc_norm_stderr\": 0.04229525846816505\n \
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\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.45180722891566266,\n\
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\ \"acc_stderr\": 0.03874371556587953,\n \"acc_norm\": 0.45180722891566266,\n\
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\ \"acc_norm_stderr\": 0.03874371556587953\n },\n \"harness|hendrycksTest-world_religions|5\"\
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: {\n \"acc\": 0.6900584795321637,\n \"acc_stderr\": 0.035469769593931624,\n\
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\ \"acc_norm\": 0.6900584795321637,\n \"acc_norm_stderr\": 0.035469769593931624\n\
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\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.3635250917992656,\n\
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\ \"mc1_stderr\": 0.01683886288396583,\n \"mc2\": 0.5168692050626681,\n\
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\ \"mc2_stderr\": 0.015551742387661518\n }\n}\n```"
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repo_url: https://huggingface.co/ehartford/Wizard-Vicuna-13B-Uncensored
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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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@@ -190,6 +38,22 @@ configs:
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- split: latest
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path:
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- '**/details_harness|arc:challenge|25_2023-07-19T19:11:03.287932.parquet'
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- config_name: harness_hellaswag_10
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data_files:
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- split: 2023_07_19T19_11_03.287932
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- split: latest
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path:
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- '**/details_harness|truthfulqa:mc|0_2023-07-19T19:11:03.287932.parquet'
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- config_name: results
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data_files:
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- split: 2023_07_19T19_11_03.287932
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path:
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- results_2023-07-19T19:11:03.287932.parquet
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- split: latest
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path:
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-
- results_2023-
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---
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# Dataset Card for Evaluation run of ehartford/Wizard-Vicuna-13B-Uncensored
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@@ -806,9 +681,9 @@ configs:
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| 806 |
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| 807 |
Dataset automatically created during the evaluation run of model [ehartford/Wizard-Vicuna-13B-Uncensored](https://huggingface.co/ehartford/Wizard-Vicuna-13B-Uncensored) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
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-
The dataset is composed of
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-
The dataset has been created from
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An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
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| 816 |
```python
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| 817 |
from datasets import load_dataset
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data = load_dataset("open-llm-leaderboard/details_ehartford__Wizard-Vicuna-13B-Uncensored",
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| 819 |
-
"
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| 820 |
split="train")
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| 821 |
```
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| 822 |
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| 823 |
## Latest results
|
| 824 |
|
| 825 |
-
These are the [latest results from run 2023-
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| 826 |
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| 827 |
```python
|
| 828 |
{
|
| 829 |
"all": {
|
| 830 |
-
"
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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": 0.3,
|
| 853 |
-
"acc_stderr": 0.046056618647183814,
|
| 854 |
-
"acc_norm": 0.3,
|
| 855 |
-
"acc_norm_stderr": 0.046056618647183814
|
| 856 |
-
},
|
| 857 |
-
"harness|hendrycksTest-anatomy|5": {
|
| 858 |
-
"acc": 0.4666666666666667,
|
| 859 |
-
"acc_stderr": 0.043097329010363554,
|
| 860 |
-
"acc_norm": 0.4666666666666667,
|
| 861 |
-
"acc_norm_stderr": 0.043097329010363554
|
| 862 |
-
},
|
| 863 |
-
"harness|hendrycksTest-astronomy|5": {
|
| 864 |
-
"acc": 0.47368421052631576,
|
| 865 |
-
"acc_stderr": 0.04063302731486671,
|
| 866 |
-
"acc_norm": 0.47368421052631576,
|
| 867 |
-
"acc_norm_stderr": 0.04063302731486671
|
| 868 |
-
},
|
| 869 |
-
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|
| 870 |
-
"acc": 0.49,
|
| 871 |
-
"acc_stderr": 0.05024183937956912,
|
| 872 |
-
"acc_norm": 0.49,
|
| 873 |
-
"acc_norm_stderr": 0.05024183937956912
|
| 874 |
-
},
|
| 875 |
-
"harness|hendrycksTest-clinical_knowledge|5": {
|
| 876 |
-
"acc": 0.4716981132075472,
|
| 877 |
-
"acc_stderr": 0.030723535249006107,
|
| 878 |
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"acc_norm": 0.4716981132075472,
|
| 879 |
-
"acc_norm_stderr": 0.030723535249006107
|
| 880 |
-
},
|
| 881 |
-
"harness|hendrycksTest-college_biology|5": {
|
| 882 |
-
"acc": 0.4861111111111111,
|
| 883 |
-
"acc_stderr": 0.041795966175810016,
|
| 884 |
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"acc_norm": 0.4861111111111111,
|
| 885 |
-
"acc_norm_stderr": 0.041795966175810016
|
| 886 |
-
},
|
| 887 |
-
"harness|hendrycksTest-college_chemistry|5": {
|
| 888 |
-
"acc": 0.3,
|
| 889 |
-
"acc_stderr": 0.046056618647183814,
|
| 890 |
-
"acc_norm": 0.3,
|
| 891 |
-
"acc_norm_stderr": 0.046056618647183814
|
| 892 |
-
},
|
| 893 |
-
"harness|hendrycksTest-college_computer_science|5": {
|
| 894 |
-
"acc": 0.41,
|
| 895 |
-
"acc_stderr": 0.049431107042371025,
|
| 896 |
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"acc_norm": 0.41,
|
| 897 |
-
"acc_norm_stderr": 0.049431107042371025
|
| 898 |
-
},
|
| 899 |
-
"harness|hendrycksTest-college_mathematics|5": {
|
| 900 |
-
"acc": 0.32,
|
| 901 |
-
"acc_stderr": 0.04688261722621505,
|
| 902 |
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"acc_norm": 0.32,
|
| 903 |
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"acc_norm_stderr": 0.04688261722621505
|
| 904 |
-
},
|
| 905 |
-
"harness|hendrycksTest-college_medicine|5": {
|
| 906 |
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"acc": 0.4046242774566474,
|
| 907 |
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|
| 908 |
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"acc_norm": 0.4046242774566474,
|
| 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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| 914 |
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"acc_norm": 0.23529411764705882,
|
| 915 |
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|
| 916 |
-
},
|
| 917 |
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"harness|hendrycksTest-computer_security|5": {
|
| 918 |
-
"acc": 0.59,
|
| 919 |
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|
| 920 |
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"acc_norm": 0.59,
|
| 921 |
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"acc_norm_stderr": 0.049431107042371025
|
| 922 |
-
},
|
| 923 |
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"harness|hendrycksTest-conceptual_physics|5": {
|
| 924 |
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|
| 925 |
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|
| 926 |
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"acc_norm": 0.41702127659574467,
|
| 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 |
-
},
|
| 935 |
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"harness|hendrycksTest-electrical_engineering|5": {
|
| 936 |
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|
| 937 |
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|
| 938 |
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|
| 939 |
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|
| 940 |
-
},
|
| 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 |
-
},
|
| 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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"acc": 0.31,
|
| 955 |
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|
| 956 |
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| 957 |
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|
| 958 |
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},
|
| 959 |
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|
| 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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|
| 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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|
| 973 |
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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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"acc": 0.6242424242424243,
|
| 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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|
| 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 |
-
},
|
| 995 |
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"harness|hendrycksTest-high_school_macroeconomics|5": {
|
| 996 |
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"acc": 0.4230769230769231,
|
| 997 |
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|
| 999 |
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|
| 1000 |
-
},
|
| 1001 |
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"harness|hendrycksTest-high_school_mathematics|5": {
|
| 1002 |
-
"acc": 0.2111111111111111,
|
| 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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"acc": 0.4411764705882353,
|
| 1009 |
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|
| 1011 |
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|
| 1012 |
-
},
|
| 1013 |
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|
| 1014 |
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|
| 1015 |
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|
| 1017 |
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|
| 1018 |
-
},
|
| 1019 |
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"harness|hendrycksTest-high_school_psychology|5": {
|
| 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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"harness|hendrycksTest-high_school_us_history|5": {
|
| 1032 |
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|
| 1033 |
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|
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|
| 1035 |
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|
| 1036 |
-
},
|
| 1037 |
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"harness|hendrycksTest-high_school_world_history|5": {
|
| 1038 |
-
"acc": 0.6919831223628692,
|
| 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": 0.5695067264573991,
|
| 1045 |
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| 1046 |
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|
| 1047 |
-
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|
| 1048 |
-
},
|
| 1049 |
-
"harness|hendrycksTest-human_sexuality|5": {
|
| 1050 |
-
"acc": 0.5954198473282443,
|
| 1051 |
-
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|
| 1052 |
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"acc_norm": 0.5954198473282443,
|
| 1053 |
-
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|
| 1054 |
-
},
|
| 1055 |
-
"harness|hendrycksTest-international_law|5": {
|
| 1056 |
-
"acc": 0.6694214876033058,
|
| 1057 |
-
"acc_stderr": 0.04294340845212094,
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| 1058 |
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"acc_norm": 0.6694214876033058,
|
| 1059 |
-
"acc_norm_stderr": 0.04294340845212094
|
| 1060 |
-
},
|
| 1061 |
-
"harness|hendrycksTest-jurisprudence|5": {
|
| 1062 |
-
"acc": 0.5462962962962963,
|
| 1063 |
-
"acc_stderr": 0.04812917324536823,
|
| 1064 |
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"acc_norm": 0.5462962962962963,
|
| 1065 |
-
"acc_norm_stderr": 0.04812917324536823
|
| 1066 |
-
},
|
| 1067 |
-
"harness|hendrycksTest-logical_fallacies|5": {
|
| 1068 |
-
"acc": 0.5460122699386503,
|
| 1069 |
-
"acc_stderr": 0.0391170190467718,
|
| 1070 |
-
"acc_norm": 0.5460122699386503,
|
| 1071 |
-
"acc_norm_stderr": 0.0391170190467718
|
| 1072 |
-
},
|
| 1073 |
-
"harness|hendrycksTest-machine_learning|5": {
|
| 1074 |
-
"acc": 0.375,
|
| 1075 |
-
"acc_stderr": 0.04595091388086298,
|
| 1076 |
-
"acc_norm": 0.375,
|
| 1077 |
-
"acc_norm_stderr": 0.04595091388086298
|
| 1078 |
-
},
|
| 1079 |
-
"harness|hendrycksTest-management|5": {
|
| 1080 |
-
"acc": 0.6019417475728155,
|
| 1081 |
-
"acc_stderr": 0.048467482539772386,
|
| 1082 |
-
"acc_norm": 0.6019417475728155,
|
| 1083 |
-
"acc_norm_stderr": 0.048467482539772386
|
| 1084 |
-
},
|
| 1085 |
-
"harness|hendrycksTest-marketing|5": {
|
| 1086 |
-
"acc": 0.7649572649572649,
|
| 1087 |
-
"acc_stderr": 0.027778835904935444,
|
| 1088 |
-
"acc_norm": 0.7649572649572649,
|
| 1089 |
-
"acc_norm_stderr": 0.027778835904935444
|
| 1090 |
-
},
|
| 1091 |
-
"harness|hendrycksTest-medical_genetics|5": {
|
| 1092 |
-
"acc": 0.57,
|
| 1093 |
-
"acc_stderr": 0.049756985195624284,
|
| 1094 |
-
"acc_norm": 0.57,
|
| 1095 |
-
"acc_norm_stderr": 0.049756985195624284
|
| 1096 |
-
},
|
| 1097 |
-
"harness|hendrycksTest-miscellaneous|5": {
|
| 1098 |
-
"acc": 0.6768837803320562,
|
| 1099 |
-
"acc_stderr": 0.016723726512343048,
|
| 1100 |
-
"acc_norm": 0.6768837803320562,
|
| 1101 |
-
"acc_norm_stderr": 0.016723726512343048
|
| 1102 |
-
},
|
| 1103 |
-
"harness|hendrycksTest-moral_disputes|5": {
|
| 1104 |
-
"acc": 0.5086705202312138,
|
| 1105 |
-
"acc_stderr": 0.026915047355369804,
|
| 1106 |
-
"acc_norm": 0.5086705202312138,
|
| 1107 |
-
"acc_norm_stderr": 0.026915047355369804
|
| 1108 |
-
},
|
| 1109 |
-
"harness|hendrycksTest-moral_scenarios|5": {
|
| 1110 |
-
"acc": 0.24804469273743016,
|
| 1111 |
-
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|
| 1112 |
-
"acc_norm": 0.24804469273743016,
|
| 1113 |
-
"acc_norm_stderr": 0.01444415780826144
|
| 1114 |
-
},
|
| 1115 |
-
"harness|hendrycksTest-nutrition|5": {
|
| 1116 |
-
"acc": 0.5,
|
| 1117 |
-
"acc_stderr": 0.028629916715693413,
|
| 1118 |
-
"acc_norm": 0.5,
|
| 1119 |
-
"acc_norm_stderr": 0.028629916715693413
|
| 1120 |
-
},
|
| 1121 |
-
"harness|hendrycksTest-philosophy|5": {
|
| 1122 |
-
"acc": 0.5530546623794212,
|
| 1123 |
-
"acc_stderr": 0.028237769422085335,
|
| 1124 |
-
"acc_norm": 0.5530546623794212,
|
| 1125 |
-
"acc_norm_stderr": 0.028237769422085335
|
| 1126 |
-
},
|
| 1127 |
-
"harness|hendrycksTest-prehistory|5": {
|
| 1128 |
-
"acc": 0.5370370370370371,
|
| 1129 |
-
"acc_stderr": 0.027744313443376536,
|
| 1130 |
-
"acc_norm": 0.5370370370370371,
|
| 1131 |
-
"acc_norm_stderr": 0.027744313443376536
|
| 1132 |
-
},
|
| 1133 |
-
"harness|hendrycksTest-professional_accounting|5": {
|
| 1134 |
-
"acc": 0.3617021276595745,
|
| 1135 |
-
"acc_stderr": 0.028663820147199495,
|
| 1136 |
-
"acc_norm": 0.3617021276595745,
|
| 1137 |
-
"acc_norm_stderr": 0.028663820147199495
|
| 1138 |
-
},
|
| 1139 |
-
"harness|hendrycksTest-professional_law|5": {
|
| 1140 |
-
"acc": 0.40547588005215124,
|
| 1141 |
-
"acc_stderr": 0.012539960672377207,
|
| 1142 |
-
"acc_norm": 0.40547588005215124,
|
| 1143 |
-
"acc_norm_stderr": 0.012539960672377207
|
| 1144 |
-
},
|
| 1145 |
-
"harness|hendrycksTest-professional_medicine|5": {
|
| 1146 |
-
"acc": 0.49264705882352944,
|
| 1147 |
-
"acc_stderr": 0.030369552523902173,
|
| 1148 |
-
"acc_norm": 0.49264705882352944,
|
| 1149 |
-
"acc_norm_stderr": 0.030369552523902173
|
| 1150 |
-
},
|
| 1151 |
-
"harness|hendrycksTest-professional_psychology|5": {
|
| 1152 |
-
"acc": 0.5081699346405228,
|
| 1153 |
-
"acc_stderr": 0.020225134343057272,
|
| 1154 |
-
"acc_norm": 0.5081699346405228,
|
| 1155 |
-
"acc_norm_stderr": 0.020225134343057272
|
| 1156 |
-
},
|
| 1157 |
-
"harness|hendrycksTest-public_relations|5": {
|
| 1158 |
-
"acc": 0.5272727272727272,
|
| 1159 |
-
"acc_stderr": 0.04782001791380061,
|
| 1160 |
-
"acc_norm": 0.5272727272727272,
|
| 1161 |
-
"acc_norm_stderr": 0.04782001791380061
|
| 1162 |
-
},
|
| 1163 |
-
"harness|hendrycksTest-security_studies|5": {
|
| 1164 |
-
"acc": 0.5306122448979592,
|
| 1165 |
-
"acc_stderr": 0.031949171367580624,
|
| 1166 |
-
"acc_norm": 0.5306122448979592,
|
| 1167 |
-
"acc_norm_stderr": 0.031949171367580624
|
| 1168 |
-
},
|
| 1169 |
-
"harness|hendrycksTest-sociology|5": {
|
| 1170 |
-
"acc": 0.6368159203980099,
|
| 1171 |
-
"acc_stderr": 0.034005985055990146,
|
| 1172 |
-
"acc_norm": 0.6368159203980099,
|
| 1173 |
-
"acc_norm_stderr": 0.034005985055990146
|
| 1174 |
-
},
|
| 1175 |
-
"harness|hendrycksTest-us_foreign_policy|5": {
|
| 1176 |
-
"acc": 0.77,
|
| 1177 |
-
"acc_stderr": 0.04229525846816505,
|
| 1178 |
-
"acc_norm": 0.77,
|
| 1179 |
-
"acc_norm_stderr": 0.04229525846816505
|
| 1180 |
-
},
|
| 1181 |
-
"harness|hendrycksTest-virology|5": {
|
| 1182 |
-
"acc": 0.45180722891566266,
|
| 1183 |
-
"acc_stderr": 0.03874371556587953,
|
| 1184 |
-
"acc_norm": 0.45180722891566266,
|
| 1185 |
-
"acc_norm_stderr": 0.03874371556587953
|
| 1186 |
-
},
|
| 1187 |
-
"harness|hendrycksTest-world_religions|5": {
|
| 1188 |
-
"acc": 0.6900584795321637,
|
| 1189 |
-
"acc_stderr": 0.035469769593931624,
|
| 1190 |
-
"acc_norm": 0.6900584795321637,
|
| 1191 |
-
"acc_norm_stderr": 0.035469769593931624
|
| 1192 |
-
},
|
| 1193 |
-
"harness|truthfulqa:mc|0": {
|
| 1194 |
-
"mc1": 0.3635250917992656,
|
| 1195 |
-
"mc1_stderr": 0.01683886288396583,
|
| 1196 |
-
"mc2": 0.5168692050626681,
|
| 1197 |
-
"mc2_stderr": 0.015551742387661518
|
| 1198 |
}
|
| 1199 |
}
|
| 1200 |
```
|
|
|
|
| 3 |
dataset_summary: "Dataset automatically created during the evaluation run of model\
|
| 4 |
\ [ehartford/Wizard-Vicuna-13B-Uncensored](https://huggingface.co/ehartford/Wizard-Vicuna-13B-Uncensored)\
|
| 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_ehartford__Wizard-Vicuna-13B-Uncensored\"\
|
| 15 |
+
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
|
| 16 |
+
These are the [latest results from run 2023-10-18T17:43:02.527324](https://huggingface.co/datasets/open-llm-leaderboard/details_ehartford__Wizard-Vicuna-13B-Uncensored/blob/main/results_2023-10-18T17-43-02.527324.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\": 0.14314177852348994,\n\
|
| 20 |
+
\ \"em_stderr\": 0.0035865537174832513,\n \"f1\": 0.2178586409395965,\n\
|
| 21 |
+
\ \"f1_stderr\": 0.003730334446277459,\n \"acc\": 0.4216675951562166,\n\
|
| 22 |
+
\ \"acc_stderr\": 0.00989785498376742\n },\n \"harness|drop|3\": {\n\
|
| 23 |
+
\ \"em\": 0.14314177852348994,\n \"em_stderr\": 0.0035865537174832513,\n\
|
| 24 |
+
\ \"f1\": 0.2178586409395965,\n \"f1_stderr\": 0.003730334446277459\n\
|
| 25 |
+
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.08642911296436695,\n \
|
| 26 |
+
\ \"acc_stderr\": 0.0077400443371038056\n },\n \"harness|winogrande|5\"\
|
| 27 |
+
: {\n \"acc\": 0.7569060773480663,\n \"acc_stderr\": 0.012055665630431032\n\
|
| 28 |
+
\ }\n}\n```"
|
|
|
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|
| 29 |
repo_url: https://huggingface.co/ehartford/Wizard-Vicuna-13B-Uncensored
|
| 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_2023-07-19T19:11:03.287932.parquet'
|
| 41 |
+
- config_name: harness_drop_3
|
| 42 |
+
data_files:
|
| 43 |
+
- split: 2023_10_18T17_43_02.527324
|
| 44 |
+
path:
|
| 45 |
+
- '**/details_harness|drop|3_2023-10-18T17-43-02.527324.parquet'
|
| 46 |
+
- split: latest
|
| 47 |
+
path:
|
| 48 |
+
- '**/details_harness|drop|3_2023-10-18T17-43-02.527324.parquet'
|
| 49 |
+
- config_name: harness_gsm8k_5
|
| 50 |
+
data_files:
|
| 51 |
+
- split: 2023_10_18T17_43_02.527324
|
| 52 |
+
path:
|
| 53 |
+
- '**/details_harness|gsm8k|5_2023-10-18T17-43-02.527324.parquet'
|
| 54 |
+
- split: latest
|
| 55 |
+
path:
|
| 56 |
+
- '**/details_harness|gsm8k|5_2023-10-18T17-43-02.527324.parquet'
|
| 57 |
- config_name: harness_hellaswag_10
|
| 58 |
data_files:
|
| 59 |
- split: 2023_07_19T19_11_03.287932
|
|
|
|
| 646 |
- split: latest
|
| 647 |
path:
|
| 648 |
- '**/details_harness|truthfulqa:mc|0_2023-07-19T19:11:03.287932.parquet'
|
| 649 |
+
- config_name: harness_winogrande_5
|
| 650 |
+
data_files:
|
| 651 |
+
- split: 2023_10_18T17_43_02.527324
|
| 652 |
+
path:
|
| 653 |
+
- '**/details_harness|winogrande|5_2023-10-18T17-43-02.527324.parquet'
|
| 654 |
+
- split: latest
|
| 655 |
+
path:
|
| 656 |
+
- '**/details_harness|winogrande|5_2023-10-18T17-43-02.527324.parquet'
|
| 657 |
- config_name: results
|
| 658 |
data_files:
|
| 659 |
- split: 2023_07_19T19_11_03.287932
|
| 660 |
path:
|
| 661 |
- results_2023-07-19T19:11:03.287932.parquet
|
| 662 |
+
- split: 2023_10_18T17_43_02.527324
|
| 663 |
+
path:
|
| 664 |
+
- results_2023-10-18T17-43-02.527324.parquet
|
| 665 |
- split: latest
|
| 666 |
path:
|
| 667 |
+
- results_2023-10-18T17-43-02.527324.parquet
|
| 668 |
---
|
| 669 |
|
| 670 |
# Dataset Card for Evaluation run of ehartford/Wizard-Vicuna-13B-Uncensored
|
|
|
|
| 681 |
|
| 682 |
Dataset automatically created during the evaluation run of model [ehartford/Wizard-Vicuna-13B-Uncensored](https://huggingface.co/ehartford/Wizard-Vicuna-13B-Uncensored) 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_ehartford__Wizard-Vicuna-13B-Uncensored",
|
| 694 |
+
"harness_winogrande_5",
|
| 695 |
split="train")
|
| 696 |
```
|
| 697 |
|
| 698 |
## Latest results
|
| 699 |
|
| 700 |
+
These are the [latest results from run 2023-10-18T17:43:02.527324](https://huggingface.co/datasets/open-llm-leaderboard/details_ehartford__Wizard-Vicuna-13B-Uncensored/blob/main/results_2023-10-18T17-43-02.527324.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": 0.14314177852348994,
|
| 706 |
+
"em_stderr": 0.0035865537174832513,
|
| 707 |
+
"f1": 0.2178586409395965,
|
| 708 |
+
"f1_stderr": 0.003730334446277459,
|
| 709 |
+
"acc": 0.4216675951562166,
|
| 710 |
+
"acc_stderr": 0.00989785498376742
|
| 711 |
+
},
|
| 712 |
+
"harness|drop|3": {
|
| 713 |
+
"em": 0.14314177852348994,
|
| 714 |
+
"em_stderr": 0.0035865537174832513,
|
| 715 |
+
"f1": 0.2178586409395965,
|
| 716 |
+
"f1_stderr": 0.003730334446277459
|
| 717 |
+
},
|
| 718 |
+
"harness|gsm8k|5": {
|
| 719 |
+
"acc": 0.08642911296436695,
|
| 720 |
+
"acc_stderr": 0.0077400443371038056
|
| 721 |
+
},
|
| 722 |
+
"harness|winogrande|5": {
|
| 723 |
+
"acc": 0.7569060773480663,
|
| 724 |
+
"acc_stderr": 0.012055665630431032
|
|
|
|
|
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| 725 |
}
|
| 726 |
}
|
| 727 |
```
|