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README.md
CHANGED
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@@ -3,8 +3,8 @@ pretty_name: Evaluation run of Dampish/StellarX-4B-V0
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dataset_summary: "Dataset automatically created during the evaluation run of model\
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\ [Dampish/StellarX-4B-V0](https://huggingface.co/Dampish/StellarX-4B-V0) on the\
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\ [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 +12,19 @@ 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_Dampish__StellarX-4B-V0\"\
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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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\ \"acc_stderr\": 0.
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-
\ \"acc_norm_stderr\": 0.004846400325585233\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
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: {\n \"acc\": 0.34,\n \"acc_stderr\": 0.047609522856952365,\n \
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\ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.047609522856952365\n \
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\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.2518518518518518,\n\
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\ \"acc_stderr\": 0.03749850709174022,\n \"acc_norm\": 0.2518518518518518,\n\
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\ \"acc_norm_stderr\": 0.03749850709174022\n },\n \"harness|hendrycksTest-astronomy|5\"\
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: {\n \"acc\": 0.34210526315789475,\n \"acc_stderr\": 0.03860731599316092,\n\
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\ \"acc_norm\": 0.34210526315789475,\n \"acc_norm_stderr\": 0.03860731599316092\n\
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-
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.23,\n\
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-
\ \"acc_stderr\": 0.04229525846816506,\n \"acc_norm\": 0.23,\n \
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\ \"acc_norm_stderr\": 0.04229525846816506\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
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: {\n \"acc\": 0.2830188679245283,\n \"acc_stderr\": 0.0277242364927009,\n\
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\ \"acc_norm\": 0.2830188679245283,\n \"acc_norm_stderr\": 0.0277242364927009\n\
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\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.24305555555555555,\n\
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\ \"acc_stderr\": 0.03586879280080341,\n \"acc_norm\": 0.24305555555555555,\n\
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-
\ \"acc_norm_stderr\": 0.03586879280080341\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
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: {\n \"acc\": 0.26,\n \"acc_stderr\": 0.0440844002276808,\n \
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\ \"acc_norm\": 0.26,\n \"acc_norm_stderr\": 0.0440844002276808\n },\n\
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-
\ \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\": 0.33,\n\
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\ \"acc_stderr\": 0.04725815626252606,\n \"acc_norm\": 0.33,\n \
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\ \"acc_norm_stderr\": 0.04725815626252606\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
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: {\n \"acc\": 0.36,\n \"acc_stderr\": 0.04824181513244218,\n \
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\ \"acc_norm\": 0.36,\n \"acc_norm_stderr\": 0.04824181513244218\n \
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\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.26011560693641617,\n\
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\ \"acc_stderr\": 0.03345036916788991,\n \"acc_norm\": 0.26011560693641617,\n\
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\ \"acc_norm_stderr\": 0.03345036916788991\n },\n \"harness|hendrycksTest-college_physics|5\"\
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: {\n \"acc\": 0.20588235294117646,\n \"acc_stderr\": 0.04023382273617747,\n\
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\ \"acc_norm\": 0.20588235294117646,\n \"acc_norm_stderr\": 0.04023382273617747\n\
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\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
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\ 0.28,\n \"acc_stderr\": 0.045126085985421276,\n \"acc_norm\": 0.28,\n\
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| 58 |
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\ \"acc_norm_stderr\": 0.045126085985421276\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
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: {\n \"acc\": 0.2851063829787234,\n \"acc_stderr\": 0.02951319662553935,\n\
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\ \"acc_norm\": 0.2851063829787234,\n \"acc_norm_stderr\": 0.02951319662553935\n\
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\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.2719298245614035,\n\
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\ \"acc_stderr\": 0.04185774424022056,\n \"acc_norm\": 0.2719298245614035,\n\
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\ \"acc_norm_stderr\": 0.04185774424022056\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
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: {\n \"acc\": 0.296551724137931,\n \"acc_stderr\": 0.03806142687309993,\n\
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\ \"acc_norm\": 0.296551724137931,\n \"acc_norm_stderr\": 0.03806142687309993\n\
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\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
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: 0.26455026455026454,\n \"acc_stderr\": 0.022717467897708617,\n \"\
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acc_norm\": 0.26455026455026454,\n \"acc_norm_stderr\": 0.022717467897708617\n\
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\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.15079365079365079,\n\
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\ \"acc_stderr\": 0.03200686497287394,\n \"acc_norm\": 0.15079365079365079,\n\
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\ \"acc_norm_stderr\": 0.03200686497287394\n },\n \"harness|hendrycksTest-global_facts|5\"\
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: {\n \"acc\": 0.33,\n \"acc_stderr\": 0.047258156262526045,\n \
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\ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.047258156262526045\n \
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\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\
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: 0.22903225806451613,\n \"acc_stderr\": 0.02390491431178265,\n \"\
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acc_norm\": 0.22903225806451613,\n \"acc_norm_stderr\": 0.02390491431178265\n\
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\ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\
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: 0.2512315270935961,\n \"acc_stderr\": 0.030516530732694433,\n \"\
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acc_norm\": 0.2512315270935961,\n \"acc_norm_stderr\": 0.030516530732694433\n\
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\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
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\ \"acc\": 0.24,\n \"acc_stderr\": 0.04292346959909282,\n \"acc_norm\"\
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: 0.24,\n \"acc_norm_stderr\": 0.04292346959909282\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
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: {\n \"acc\": 0.23030303030303031,\n \"acc_stderr\": 0.03287666758603489,\n\
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\ \"acc_norm\": 0.23030303030303031,\n \"acc_norm_stderr\": 0.03287666758603489\n\
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\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
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: 0.35353535353535354,\n \"acc_stderr\": 0.03406086723547153,\n \"\
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acc_norm\": 0.35353535353535354,\n \"acc_norm_stderr\": 0.03406086723547153\n\
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\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
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\ \"acc\": 0.26424870466321243,\n \"acc_stderr\": 0.031821550509166484,\n\
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\ \"acc_norm\": 0.26424870466321243,\n \"acc_norm_stderr\": 0.031821550509166484\n\
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\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
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\ \"acc\": 0.2512820512820513,\n \"acc_stderr\": 0.02199201666237056,\n \
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\ \"acc_norm\": 0.2512820512820513,\n \"acc_norm_stderr\": 0.02199201666237056\n\
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\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
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acc\": 0.2222222222222222,\n \"acc_stderr\": 0.025348097468097838,\n \
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\ \"acc_norm\": 0.2222222222222222,\n \"acc_norm_stderr\": 0.025348097468097838\n\
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-
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
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\ \"acc\": 0.19327731092436976,\n \"acc_stderr\": 0.0256494702658892,\n \
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\ \"acc_norm\": 0.19327731092436976,\n \"acc_norm_stderr\": 0.0256494702658892\n\
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\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
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-
: 0.271523178807947,\n \"acc_stderr\": 0.03631329803969653,\n \"acc_norm\"\
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| 102 |
-
: 0.271523178807947,\n \"acc_norm_stderr\": 0.03631329803969653\n },\n\
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\ \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\": 0.3284403669724771,\n\
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\ \"acc_stderr\": 0.020135902797298395,\n \"acc_norm\": 0.3284403669724771,\n\
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| 105 |
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\ \"acc_norm_stderr\": 0.020135902797298395\n },\n \"harness|hendrycksTest-high_school_statistics|5\"\
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| 106 |
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: {\n \"acc\": 0.3287037037037037,\n \"acc_stderr\": 0.032036140846700596,\n\
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| 107 |
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\ \"acc_norm\": 0.3287037037037037,\n \"acc_norm_stderr\": 0.032036140846700596\n\
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| 108 |
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\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
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| 109 |
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: 0.24019607843137256,\n \"acc_stderr\": 0.02998373305591362,\n \"\
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| 110 |
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acc_norm\": 0.24019607843137256,\n \"acc_norm_stderr\": 0.02998373305591362\n\
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\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
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acc\": 0.270042194092827,\n \"acc_stderr\": 0.028900721906293426,\n \
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\ \"acc_norm\": 0.270042194092827,\n \"acc_norm_stderr\": 0.028900721906293426\n\
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\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.11659192825112108,\n\
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\ \"acc_stderr\": 0.02153963981624447,\n \"acc_norm\": 0.11659192825112108,\n\
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\ \"acc_norm_stderr\": 0.02153963981624447\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
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| 117 |
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: {\n \"acc\": 0.24427480916030533,\n \"acc_stderr\": 0.03768335959728744,\n\
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\ \"acc_norm\": 0.24427480916030533,\n \"acc_norm_stderr\": 0.03768335959728744\n\
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| 119 |
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\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
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\ 0.4049586776859504,\n \"acc_stderr\": 0.044811377559424694,\n \"\
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acc_norm\": 0.4049586776859504,\n \"acc_norm_stderr\": 0.044811377559424694\n\
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\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.25,\n\
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\ \"acc_stderr\": 0.04186091791394607,\n \"acc_norm\": 0.25,\n \
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\ \"acc_norm_stderr\": 0.04186091791394607\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
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| 125 |
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: {\n \"acc\": 0.24539877300613497,\n \"acc_stderr\": 0.03380939813943354,\n\
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\ \"acc_norm\": 0.24539877300613497,\n \"acc_norm_stderr\": 0.03380939813943354\n\
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| 127 |
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\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.2767857142857143,\n\
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| 128 |
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\ \"acc_stderr\": 0.04246624336697625,\n \"acc_norm\": 0.2767857142857143,\n\
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\ \"acc_norm_stderr\": 0.04246624336697625\n },\n \"harness|hendrycksTest-management|5\"\
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| 130 |
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: {\n \"acc\": 0.30097087378640774,\n \"acc_stderr\": 0.045416094465039476,\n\
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\ \"acc_norm\": 0.30097087378640774,\n \"acc_norm_stderr\": 0.045416094465039476\n\
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\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.29914529914529914,\n\
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| 133 |
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\ \"acc_stderr\": 0.029996951858349483,\n \"acc_norm\": 0.29914529914529914,\n\
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| 134 |
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\ \"acc_norm_stderr\": 0.029996951858349483\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
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| 135 |
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: {\n \"acc\": 0.27,\n \"acc_stderr\": 0.044619604333847394,\n \
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| 136 |
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\ \"acc_norm\": 0.27,\n \"acc_norm_stderr\": 0.044619604333847394\n \
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| 137 |
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\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.28735632183908044,\n\
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| 138 |
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\ \"acc_stderr\": 0.0161824107306827,\n \"acc_norm\": 0.28735632183908044,\n\
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| 139 |
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\ \"acc_norm_stderr\": 0.0161824107306827\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
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| 140 |
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: {\n \"acc\": 0.24855491329479767,\n \"acc_stderr\": 0.023267528432100174,\n\
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| 141 |
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\ \"acc_norm\": 0.24855491329479767,\n \"acc_norm_stderr\": 0.023267528432100174\n\
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| 142 |
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\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.27262569832402234,\n\
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\ \"acc_stderr\": 0.014893391735249588,\n \"acc_norm\": 0.27262569832402234,\n\
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| 144 |
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\ \"acc_norm_stderr\": 0.014893391735249588\n },\n \"harness|hendrycksTest-nutrition|5\"\
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| 145 |
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: {\n \"acc\": 0.2549019607843137,\n \"acc_stderr\": 0.02495418432487991,\n\
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\ \"acc_norm\": 0.2549019607843137,\n \"acc_norm_stderr\": 0.02495418432487991\n\
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| 147 |
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\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.28938906752411575,\n\
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| 148 |
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\ \"acc_stderr\": 0.02575586592263294,\n \"acc_norm\": 0.28938906752411575,\n\
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| 149 |
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\ \"acc_norm_stderr\": 0.02575586592263294\n },\n \"harness|hendrycksTest-prehistory|5\"\
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| 150 |
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: {\n \"acc\": 0.2654320987654321,\n \"acc_stderr\": 0.024569223600460852,\n\
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| 151 |
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\ \"acc_norm\": 0.2654320987654321,\n \"acc_norm_stderr\": 0.024569223600460852\n\
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| 152 |
-
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
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| 153 |
-
acc\": 0.2695035460992908,\n \"acc_stderr\": 0.026469036818590627,\n \
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| 154 |
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\ \"acc_norm\": 0.2695035460992908,\n \"acc_norm_stderr\": 0.026469036818590627\n\
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| 155 |
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\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.2633637548891786,\n\
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| 156 |
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\ \"acc_stderr\": 0.011249506403605291,\n \"acc_norm\": 0.2633637548891786,\n\
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| 157 |
-
\ \"acc_norm_stderr\": 0.011249506403605291\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
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| 158 |
-
: {\n \"acc\": 0.2426470588235294,\n \"acc_stderr\": 0.02604066247420126,\n\
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| 159 |
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\ \"acc_norm\": 0.2426470588235294,\n \"acc_norm_stderr\": 0.02604066247420126\n\
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| 160 |
-
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
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| 161 |
-
acc\": 0.24019607843137256,\n \"acc_stderr\": 0.017282760695167414,\n \
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| 162 |
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\ \"acc_norm\": 0.24019607843137256,\n \"acc_norm_stderr\": 0.017282760695167414\n\
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| 163 |
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\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.33636363636363636,\n\
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| 164 |
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\ \"acc_stderr\": 0.04525393596302506,\n \"acc_norm\": 0.33636363636363636,\n\
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| 165 |
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\ \"acc_norm_stderr\": 0.04525393596302506\n },\n \"harness|hendrycksTest-security_studies|5\"\
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| 166 |
-
: {\n \"acc\": 0.23673469387755103,\n \"acc_stderr\": 0.02721283588407314,\n\
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| 167 |
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\ \"acc_norm\": 0.23673469387755103,\n \"acc_norm_stderr\": 0.02721283588407314\n\
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| 168 |
-
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.24378109452736318,\n\
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| 169 |
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\ \"acc_stderr\": 0.03036049015401468,\n \"acc_norm\": 0.24378109452736318,\n\
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| 170 |
-
\ \"acc_norm_stderr\": 0.03036049015401468\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
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| 171 |
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: {\n \"acc\": 0.26,\n \"acc_stderr\": 0.04408440022768078,\n \
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| 172 |
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\ \"acc_norm\": 0.26,\n \"acc_norm_stderr\": 0.04408440022768078\n \
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\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.23493975903614459,\n\
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| 174 |
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\ \"acc_stderr\": 0.03300533186128922,\n \"acc_norm\": 0.23493975903614459,\n\
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| 175 |
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\ \"acc_norm_stderr\": 0.03300533186128922\n },\n \"harness|hendrycksTest-world_religions|5\"\
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| 176 |
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: {\n \"acc\": 0.29239766081871343,\n \"acc_stderr\": 0.034886477134579215,\n\
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| 177 |
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\ \"acc_norm\": 0.29239766081871343,\n \"acc_norm_stderr\": 0.034886477134579215\n\
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\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.20685434516523868,\n\
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\ \"mc1_stderr\": 0.014179591496728343,\n \"mc2\": 0.34296822571733665,\n\
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\ \"mc2_stderr\": 0.013628027163865984\n }\n}\n```"
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repo_url: https://huggingface.co/Dampish/StellarX-4B-V0
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leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
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point_of_contact: clementine@hf.co
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- split: latest
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path:
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- '**/details_harness|arc:challenge|25_2023-10-03T17-57-03.227360.parquet'
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- config_name: harness_hellaswag_10
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data_files:
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- split: 2023_10_03T17_57_03.227360
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@@ -782,14 +645,25 @@ configs:
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- split: latest
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| 783 |
path:
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- '**/details_harness|truthfulqa:mc|0_2023-10-03T17-57-03.227360.parquet'
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- config_name: results
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data_files:
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- split: 2023_10_03T17_57_03.227360
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| 788 |
path:
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| 789 |
- results_2023-10-03T17-57-03.227360.parquet
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- split: latest
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path:
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-
- results_2023-10-
|
| 793 |
---
|
| 794 |
|
| 795 |
# Dataset Card for Evaluation run of Dampish/StellarX-4B-V0
|
|
@@ -806,9 +680,9 @@ configs:
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|
| 806 |
|
| 807 |
Dataset automatically created during the evaluation run of model [Dampish/StellarX-4B-V0](https://huggingface.co/Dampish/StellarX-4B-V0) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
|
| 808 |
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| 809 |
-
The dataset is composed of
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| 810 |
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| 811 |
-
The dataset has been created from
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| 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 |
|
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@@ -816,385 +690,37 @@ To load the details from a run, you can for instance do the following:
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|
| 816 |
```python
|
| 817 |
from datasets import load_dataset
|
| 818 |
data = load_dataset("open-llm-leaderboard/details_Dampish__StellarX-4B-V0",
|
| 819 |
-
"
|
| 820 |
split="train")
|
| 821 |
```
|
| 822 |
|
| 823 |
## Latest results
|
| 824 |
|
| 825 |
-
These are the [latest results from run 2023-10-
|
| 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": 0.34,
|
| 853 |
-
"acc_stderr": 0.047609522856952365,
|
| 854 |
-
"acc_norm": 0.34,
|
| 855 |
-
"acc_norm_stderr": 0.047609522856952365
|
| 856 |
-
},
|
| 857 |
-
"harness|hendrycksTest-anatomy|5": {
|
| 858 |
-
"acc": 0.2518518518518518,
|
| 859 |
-
"acc_stderr": 0.03749850709174022,
|
| 860 |
-
"acc_norm": 0.2518518518518518,
|
| 861 |
-
"acc_norm_stderr": 0.03749850709174022
|
| 862 |
-
},
|
| 863 |
-
"harness|hendrycksTest-astronomy|5": {
|
| 864 |
-
"acc": 0.34210526315789475,
|
| 865 |
-
"acc_stderr": 0.03860731599316092,
|
| 866 |
-
"acc_norm": 0.34210526315789475,
|
| 867 |
-
"acc_norm_stderr": 0.03860731599316092
|
| 868 |
-
},
|
| 869 |
-
"harness|hendrycksTest-business_ethics|5": {
|
| 870 |
-
"acc": 0.23,
|
| 871 |
-
"acc_stderr": 0.04229525846816506,
|
| 872 |
-
"acc_norm": 0.23,
|
| 873 |
-
"acc_norm_stderr": 0.04229525846816506
|
| 874 |
-
},
|
| 875 |
-
"harness|hendrycksTest-clinical_knowledge|5": {
|
| 876 |
-
"acc": 0.2830188679245283,
|
| 877 |
-
"acc_stderr": 0.0277242364927009,
|
| 878 |
-
"acc_norm": 0.2830188679245283,
|
| 879 |
-
"acc_norm_stderr": 0.0277242364927009
|
| 880 |
-
},
|
| 881 |
-
"harness|hendrycksTest-college_biology|5": {
|
| 882 |
-
"acc": 0.24305555555555555,
|
| 883 |
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"acc_stderr": 0.03586879280080341,
|
| 884 |
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"acc_norm": 0.24305555555555555,
|
| 885 |
-
"acc_norm_stderr": 0.03586879280080341
|
| 886 |
-
},
|
| 887 |
-
"harness|hendrycksTest-college_chemistry|5": {
|
| 888 |
-
"acc": 0.26,
|
| 889 |
-
"acc_stderr": 0.0440844002276808,
|
| 890 |
-
"acc_norm": 0.26,
|
| 891 |
-
"acc_norm_stderr": 0.0440844002276808
|
| 892 |
-
},
|
| 893 |
-
"harness|hendrycksTest-college_computer_science|5": {
|
| 894 |
-
"acc": 0.33,
|
| 895 |
-
"acc_stderr": 0.04725815626252606,
|
| 896 |
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"acc_norm": 0.33,
|
| 897 |
-
"acc_norm_stderr": 0.04725815626252606
|
| 898 |
-
},
|
| 899 |
-
"harness|hendrycksTest-college_mathematics|5": {
|
| 900 |
-
"acc": 0.36,
|
| 901 |
-
"acc_stderr": 0.04824181513244218,
|
| 902 |
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"acc_norm": 0.36,
|
| 903 |
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"acc_norm_stderr": 0.04824181513244218
|
| 904 |
-
},
|
| 905 |
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"harness|hendrycksTest-college_medicine|5": {
|
| 906 |
-
"acc": 0.26011560693641617,
|
| 907 |
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"acc_stderr": 0.03345036916788991,
|
| 908 |
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"acc_norm": 0.26011560693641617,
|
| 909 |
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"acc_norm_stderr": 0.03345036916788991
|
| 910 |
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},
|
| 911 |
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"harness|hendrycksTest-college_physics|5": {
|
| 912 |
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"acc": 0.20588235294117646,
|
| 913 |
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| 914 |
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"acc_norm": 0.20588235294117646,
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| 915 |
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"acc_norm_stderr": 0.04023382273617747
|
| 916 |
-
},
|
| 917 |
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"harness|hendrycksTest-computer_security|5": {
|
| 918 |
-
"acc": 0.28,
|
| 919 |
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"acc_stderr": 0.045126085985421276,
|
| 920 |
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"acc_norm": 0.28,
|
| 921 |
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"acc_norm_stderr": 0.045126085985421276
|
| 922 |
-
},
|
| 923 |
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"harness|hendrycksTest-conceptual_physics|5": {
|
| 924 |
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"acc": 0.2851063829787234,
|
| 925 |
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|
| 926 |
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"acc_norm": 0.2851063829787234,
|
| 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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| 932 |
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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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| 939 |
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"acc_norm_stderr": 0.03806142687309993
|
| 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 |
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},
|
| 947 |
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|
| 948 |
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|
| 949 |
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| 950 |
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| 951 |
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|
| 952 |
-
},
|
| 953 |
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"harness|hendrycksTest-global_facts|5": {
|
| 954 |
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"acc": 0.33,
|
| 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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"harness|hendrycksTest-high_school_biology|5": {
|
| 960 |
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|
| 961 |
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| 963 |
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| 964 |
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|
| 965 |
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"harness|hendrycksTest-high_school_chemistry|5": {
|
| 966 |
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|
| 967 |
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| 969 |
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|
| 970 |
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},
|
| 971 |
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"harness|hendrycksTest-high_school_computer_science|5": {
|
| 972 |
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"acc": 0.24,
|
| 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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"acc": 0.23030303030303031,
|
| 979 |
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| 980 |
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| 981 |
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|
| 982 |
-
},
|
| 983 |
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"harness|hendrycksTest-high_school_geography|5": {
|
| 984 |
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"acc": 0.35353535353535354,
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| 985 |
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| 986 |
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|
| 987 |
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"acc_norm_stderr": 0.03406086723547153
|
| 988 |
-
},
|
| 989 |
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"harness|hendrycksTest-high_school_government_and_politics|5": {
|
| 990 |
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"acc": 0.26424870466321243,
|
| 991 |
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| 992 |
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| 993 |
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|
| 994 |
-
},
|
| 995 |
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"harness|hendrycksTest-high_school_macroeconomics|5": {
|
| 996 |
-
"acc": 0.2512820512820513,
|
| 997 |
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|
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"acc_norm": 0.2512820512820513,
|
| 999 |
-
"acc_norm_stderr": 0.02199201666237056
|
| 1000 |
-
},
|
| 1001 |
-
"harness|hendrycksTest-high_school_mathematics|5": {
|
| 1002 |
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"acc": 0.2222222222222222,
|
| 1003 |
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| 1004 |
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"acc_norm": 0.2222222222222222,
|
| 1005 |
-
"acc_norm_stderr": 0.025348097468097838
|
| 1006 |
-
},
|
| 1007 |
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"harness|hendrycksTest-high_school_microeconomics|5": {
|
| 1008 |
-
"acc": 0.19327731092436976,
|
| 1009 |
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|
| 1010 |
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|
| 1011 |
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|
| 1012 |
-
},
|
| 1013 |
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|
| 1014 |
-
"acc": 0.271523178807947,
|
| 1015 |
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| 1016 |
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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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"acc": 0.3284403669724771,
|
| 1021 |
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| 1022 |
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|
| 1023 |
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"acc_norm_stderr": 0.020135902797298395
|
| 1024 |
-
},
|
| 1025 |
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"harness|hendrycksTest-high_school_statistics|5": {
|
| 1026 |
-
"acc": 0.3287037037037037,
|
| 1027 |
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|
| 1028 |
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"acc_norm": 0.3287037037037037,
|
| 1029 |
-
"acc_norm_stderr": 0.032036140846700596
|
| 1030 |
-
},
|
| 1031 |
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"harness|hendrycksTest-high_school_us_history|5": {
|
| 1032 |
-
"acc": 0.24019607843137256,
|
| 1033 |
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|
| 1034 |
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"acc_norm": 0.24019607843137256,
|
| 1035 |
-
"acc_norm_stderr": 0.02998373305591362
|
| 1036 |
-
},
|
| 1037 |
-
"harness|hendrycksTest-high_school_world_history|5": {
|
| 1038 |
-
"acc": 0.270042194092827,
|
| 1039 |
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|
| 1040 |
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|
| 1041 |
-
"acc_norm_stderr": 0.028900721906293426
|
| 1042 |
-
},
|
| 1043 |
-
"harness|hendrycksTest-human_aging|5": {
|
| 1044 |
-
"acc": 0.11659192825112108,
|
| 1045 |
-
"acc_stderr": 0.02153963981624447,
|
| 1046 |
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"acc_norm": 0.11659192825112108,
|
| 1047 |
-
"acc_norm_stderr": 0.02153963981624447
|
| 1048 |
-
},
|
| 1049 |
-
"harness|hendrycksTest-human_sexuality|5": {
|
| 1050 |
-
"acc": 0.24427480916030533,
|
| 1051 |
-
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|
| 1052 |
-
"acc_norm": 0.24427480916030533,
|
| 1053 |
-
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|
| 1054 |
-
},
|
| 1055 |
-
"harness|hendrycksTest-international_law|5": {
|
| 1056 |
-
"acc": 0.4049586776859504,
|
| 1057 |
-
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|
| 1058 |
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"acc_norm": 0.4049586776859504,
|
| 1059 |
-
"acc_norm_stderr": 0.044811377559424694
|
| 1060 |
-
},
|
| 1061 |
-
"harness|hendrycksTest-jurisprudence|5": {
|
| 1062 |
-
"acc": 0.25,
|
| 1063 |
-
"acc_stderr": 0.04186091791394607,
|
| 1064 |
-
"acc_norm": 0.25,
|
| 1065 |
-
"acc_norm_stderr": 0.04186091791394607
|
| 1066 |
-
},
|
| 1067 |
-
"harness|hendrycksTest-logical_fallacies|5": {
|
| 1068 |
-
"acc": 0.24539877300613497,
|
| 1069 |
-
"acc_stderr": 0.03380939813943354,
|
| 1070 |
-
"acc_norm": 0.24539877300613497,
|
| 1071 |
-
"acc_norm_stderr": 0.03380939813943354
|
| 1072 |
-
},
|
| 1073 |
-
"harness|hendrycksTest-machine_learning|5": {
|
| 1074 |
-
"acc": 0.2767857142857143,
|
| 1075 |
-
"acc_stderr": 0.04246624336697625,
|
| 1076 |
-
"acc_norm": 0.2767857142857143,
|
| 1077 |
-
"acc_norm_stderr": 0.04246624336697625
|
| 1078 |
-
},
|
| 1079 |
-
"harness|hendrycksTest-management|5": {
|
| 1080 |
-
"acc": 0.30097087378640774,
|
| 1081 |
-
"acc_stderr": 0.045416094465039476,
|
| 1082 |
-
"acc_norm": 0.30097087378640774,
|
| 1083 |
-
"acc_norm_stderr": 0.045416094465039476
|
| 1084 |
-
},
|
| 1085 |
-
"harness|hendrycksTest-marketing|5": {
|
| 1086 |
-
"acc": 0.29914529914529914,
|
| 1087 |
-
"acc_stderr": 0.029996951858349483,
|
| 1088 |
-
"acc_norm": 0.29914529914529914,
|
| 1089 |
-
"acc_norm_stderr": 0.029996951858349483
|
| 1090 |
-
},
|
| 1091 |
-
"harness|hendrycksTest-medical_genetics|5": {
|
| 1092 |
-
"acc": 0.27,
|
| 1093 |
-
"acc_stderr": 0.044619604333847394,
|
| 1094 |
-
"acc_norm": 0.27,
|
| 1095 |
-
"acc_norm_stderr": 0.044619604333847394
|
| 1096 |
-
},
|
| 1097 |
-
"harness|hendrycksTest-miscellaneous|5": {
|
| 1098 |
-
"acc": 0.28735632183908044,
|
| 1099 |
-
"acc_stderr": 0.0161824107306827,
|
| 1100 |
-
"acc_norm": 0.28735632183908044,
|
| 1101 |
-
"acc_norm_stderr": 0.0161824107306827
|
| 1102 |
-
},
|
| 1103 |
-
"harness|hendrycksTest-moral_disputes|5": {
|
| 1104 |
-
"acc": 0.24855491329479767,
|
| 1105 |
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| 1106 |
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| 1107 |
-
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|
| 1108 |
-
},
|
| 1109 |
-
"harness|hendrycksTest-moral_scenarios|5": {
|
| 1110 |
-
"acc": 0.27262569832402234,
|
| 1111 |
-
"acc_stderr": 0.014893391735249588,
|
| 1112 |
-
"acc_norm": 0.27262569832402234,
|
| 1113 |
-
"acc_norm_stderr": 0.014893391735249588
|
| 1114 |
-
},
|
| 1115 |
-
"harness|hendrycksTest-nutrition|5": {
|
| 1116 |
-
"acc": 0.2549019607843137,
|
| 1117 |
-
"acc_stderr": 0.02495418432487991,
|
| 1118 |
-
"acc_norm": 0.2549019607843137,
|
| 1119 |
-
"acc_norm_stderr": 0.02495418432487991
|
| 1120 |
-
},
|
| 1121 |
-
"harness|hendrycksTest-philosophy|5": {
|
| 1122 |
-
"acc": 0.28938906752411575,
|
| 1123 |
-
"acc_stderr": 0.02575586592263294,
|
| 1124 |
-
"acc_norm": 0.28938906752411575,
|
| 1125 |
-
"acc_norm_stderr": 0.02575586592263294
|
| 1126 |
-
},
|
| 1127 |
-
"harness|hendrycksTest-prehistory|5": {
|
| 1128 |
-
"acc": 0.2654320987654321,
|
| 1129 |
-
"acc_stderr": 0.024569223600460852,
|
| 1130 |
-
"acc_norm": 0.2654320987654321,
|
| 1131 |
-
"acc_norm_stderr": 0.024569223600460852
|
| 1132 |
-
},
|
| 1133 |
-
"harness|hendrycksTest-professional_accounting|5": {
|
| 1134 |
-
"acc": 0.2695035460992908,
|
| 1135 |
-
"acc_stderr": 0.026469036818590627,
|
| 1136 |
-
"acc_norm": 0.2695035460992908,
|
| 1137 |
-
"acc_norm_stderr": 0.026469036818590627
|
| 1138 |
-
},
|
| 1139 |
-
"harness|hendrycksTest-professional_law|5": {
|
| 1140 |
-
"acc": 0.2633637548891786,
|
| 1141 |
-
"acc_stderr": 0.011249506403605291,
|
| 1142 |
-
"acc_norm": 0.2633637548891786,
|
| 1143 |
-
"acc_norm_stderr": 0.011249506403605291
|
| 1144 |
-
},
|
| 1145 |
-
"harness|hendrycksTest-professional_medicine|5": {
|
| 1146 |
-
"acc": 0.2426470588235294,
|
| 1147 |
-
"acc_stderr": 0.02604066247420126,
|
| 1148 |
-
"acc_norm": 0.2426470588235294,
|
| 1149 |
-
"acc_norm_stderr": 0.02604066247420126
|
| 1150 |
-
},
|
| 1151 |
-
"harness|hendrycksTest-professional_psychology|5": {
|
| 1152 |
-
"acc": 0.24019607843137256,
|
| 1153 |
-
"acc_stderr": 0.017282760695167414,
|
| 1154 |
-
"acc_norm": 0.24019607843137256,
|
| 1155 |
-
"acc_norm_stderr": 0.017282760695167414
|
| 1156 |
-
},
|
| 1157 |
-
"harness|hendrycksTest-public_relations|5": {
|
| 1158 |
-
"acc": 0.33636363636363636,
|
| 1159 |
-
"acc_stderr": 0.04525393596302506,
|
| 1160 |
-
"acc_norm": 0.33636363636363636,
|
| 1161 |
-
"acc_norm_stderr": 0.04525393596302506
|
| 1162 |
-
},
|
| 1163 |
-
"harness|hendrycksTest-security_studies|5": {
|
| 1164 |
-
"acc": 0.23673469387755103,
|
| 1165 |
-
"acc_stderr": 0.02721283588407314,
|
| 1166 |
-
"acc_norm": 0.23673469387755103,
|
| 1167 |
-
"acc_norm_stderr": 0.02721283588407314
|
| 1168 |
-
},
|
| 1169 |
-
"harness|hendrycksTest-sociology|5": {
|
| 1170 |
-
"acc": 0.24378109452736318,
|
| 1171 |
-
"acc_stderr": 0.03036049015401468,
|
| 1172 |
-
"acc_norm": 0.24378109452736318,
|
| 1173 |
-
"acc_norm_stderr": 0.03036049015401468
|
| 1174 |
-
},
|
| 1175 |
-
"harness|hendrycksTest-us_foreign_policy|5": {
|
| 1176 |
-
"acc": 0.26,
|
| 1177 |
-
"acc_stderr": 0.04408440022768078,
|
| 1178 |
-
"acc_norm": 0.26,
|
| 1179 |
-
"acc_norm_stderr": 0.04408440022768078
|
| 1180 |
-
},
|
| 1181 |
-
"harness|hendrycksTest-virology|5": {
|
| 1182 |
-
"acc": 0.23493975903614459,
|
| 1183 |
-
"acc_stderr": 0.03300533186128922,
|
| 1184 |
-
"acc_norm": 0.23493975903614459,
|
| 1185 |
-
"acc_norm_stderr": 0.03300533186128922
|
| 1186 |
-
},
|
| 1187 |
-
"harness|hendrycksTest-world_religions|5": {
|
| 1188 |
-
"acc": 0.29239766081871343,
|
| 1189 |
-
"acc_stderr": 0.034886477134579215,
|
| 1190 |
-
"acc_norm": 0.29239766081871343,
|
| 1191 |
-
"acc_norm_stderr": 0.034886477134579215
|
| 1192 |
-
},
|
| 1193 |
-
"harness|truthfulqa:mc|0": {
|
| 1194 |
-
"mc1": 0.20685434516523868,
|
| 1195 |
-
"mc1_stderr": 0.014179591496728343,
|
| 1196 |
-
"mc2": 0.34296822571733665,
|
| 1197 |
-
"mc2_stderr": 0.013628027163865984
|
| 1198 |
}
|
| 1199 |
}
|
| 1200 |
```
|
|
|
|
| 3 |
dataset_summary: "Dataset automatically created during the evaluation run of model\
|
| 4 |
\ [Dampish/StellarX-4B-V0](https://huggingface.co/Dampish/StellarX-4B-V0) on the\
|
| 5 |
\ [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_Dampish__StellarX-4B-V0\"\
|
| 15 |
+
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
|
| 16 |
+
These are the [latest results from run 2023-10-25T05:01:15.065069](https://huggingface.co/datasets/open-llm-leaderboard/details_Dampish__StellarX-4B-V0/blob/main/results_2023-10-25T05-01-15.065069.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\": 0.0269505033557047,\n\
|
| 20 |
+
\ \"em_stderr\": 0.0016584048452624597,\n \"f1\": 0.1094840604026844,\n\
|
| 21 |
+
\ \"f1_stderr\": 0.002280673263690395,\n \"acc\": 0.31925808997632205,\n\
|
| 22 |
+
\ \"acc_stderr\": 0.006751239835395647\n },\n \"harness|drop|3\": {\n\
|
| 23 |
+
\ \"em\": 0.0269505033557047,\n \"em_stderr\": 0.0016584048452624597,\n\
|
| 24 |
+
\ \"f1\": 0.1094840604026844,\n \"f1_stderr\": 0.002280673263690395\n\
|
| 25 |
+
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.0,\n \"acc_stderr\"\
|
| 26 |
+
: 0.0\n },\n \"harness|winogrande|5\": {\n \"acc\": 0.6385161799526441,\n\
|
| 27 |
+
\ \"acc_stderr\": 0.013502479670791294\n }\n}\n```"
|
|
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|
| 28 |
repo_url: https://huggingface.co/Dampish/StellarX-4B-V0
|
| 29 |
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
|
| 30 |
point_of_contact: clementine@hf.co
|
|
|
|
| 37 |
- split: latest
|
| 38 |
path:
|
| 39 |
- '**/details_harness|arc:challenge|25_2023-10-03T17-57-03.227360.parquet'
|
| 40 |
+
- config_name: harness_drop_3
|
| 41 |
+
data_files:
|
| 42 |
+
- split: 2023_10_25T05_01_15.065069
|
| 43 |
+
path:
|
| 44 |
+
- '**/details_harness|drop|3_2023-10-25T05-01-15.065069.parquet'
|
| 45 |
+
- split: latest
|
| 46 |
+
path:
|
| 47 |
+
- '**/details_harness|drop|3_2023-10-25T05-01-15.065069.parquet'
|
| 48 |
+
- config_name: harness_gsm8k_5
|
| 49 |
+
data_files:
|
| 50 |
+
- split: 2023_10_25T05_01_15.065069
|
| 51 |
+
path:
|
| 52 |
+
- '**/details_harness|gsm8k|5_2023-10-25T05-01-15.065069.parquet'
|
| 53 |
+
- split: latest
|
| 54 |
+
path:
|
| 55 |
+
- '**/details_harness|gsm8k|5_2023-10-25T05-01-15.065069.parquet'
|
| 56 |
- config_name: harness_hellaswag_10
|
| 57 |
data_files:
|
| 58 |
- split: 2023_10_03T17_57_03.227360
|
|
|
|
| 645 |
- split: latest
|
| 646 |
path:
|
| 647 |
- '**/details_harness|truthfulqa:mc|0_2023-10-03T17-57-03.227360.parquet'
|
| 648 |
+
- config_name: harness_winogrande_5
|
| 649 |
+
data_files:
|
| 650 |
+
- split: 2023_10_25T05_01_15.065069
|
| 651 |
+
path:
|
| 652 |
+
- '**/details_harness|winogrande|5_2023-10-25T05-01-15.065069.parquet'
|
| 653 |
+
- split: latest
|
| 654 |
+
path:
|
| 655 |
+
- '**/details_harness|winogrande|5_2023-10-25T05-01-15.065069.parquet'
|
| 656 |
- config_name: results
|
| 657 |
data_files:
|
| 658 |
- split: 2023_10_03T17_57_03.227360
|
| 659 |
path:
|
| 660 |
- results_2023-10-03T17-57-03.227360.parquet
|
| 661 |
+
- split: 2023_10_25T05_01_15.065069
|
| 662 |
+
path:
|
| 663 |
+
- results_2023-10-25T05-01-15.065069.parquet
|
| 664 |
- split: latest
|
| 665 |
path:
|
| 666 |
+
- results_2023-10-25T05-01-15.065069.parquet
|
| 667 |
---
|
| 668 |
|
| 669 |
# Dataset Card for Evaluation run of Dampish/StellarX-4B-V0
|
|
|
|
| 680 |
|
| 681 |
Dataset automatically created during the evaluation run of model [Dampish/StellarX-4B-V0](https://huggingface.co/Dampish/StellarX-4B-V0) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
|
| 682 |
|
| 683 |
+
The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task.
|
| 684 |
|
| 685 |
+
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.
|
| 686 |
|
| 687 |
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)).
|
| 688 |
|
|
|
|
| 690 |
```python
|
| 691 |
from datasets import load_dataset
|
| 692 |
data = load_dataset("open-llm-leaderboard/details_Dampish__StellarX-4B-V0",
|
| 693 |
+
"harness_winogrande_5",
|
| 694 |
split="train")
|
| 695 |
```
|
| 696 |
|
| 697 |
## Latest results
|
| 698 |
|
| 699 |
+
These are the [latest results from run 2023-10-25T05:01:15.065069](https://huggingface.co/datasets/open-llm-leaderboard/details_Dampish__StellarX-4B-V0/blob/main/results_2023-10-25T05-01-15.065069.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):
|
| 700 |
|
| 701 |
```python
|
| 702 |
{
|
| 703 |
"all": {
|
| 704 |
+
"em": 0.0269505033557047,
|
| 705 |
+
"em_stderr": 0.0016584048452624597,
|
| 706 |
+
"f1": 0.1094840604026844,
|
| 707 |
+
"f1_stderr": 0.002280673263690395,
|
| 708 |
+
"acc": 0.31925808997632205,
|
| 709 |
+
"acc_stderr": 0.006751239835395647
|
| 710 |
+
},
|
| 711 |
+
"harness|drop|3": {
|
| 712 |
+
"em": 0.0269505033557047,
|
| 713 |
+
"em_stderr": 0.0016584048452624597,
|
| 714 |
+
"f1": 0.1094840604026844,
|
| 715 |
+
"f1_stderr": 0.002280673263690395
|
| 716 |
+
},
|
| 717 |
+
"harness|gsm8k|5": {
|
| 718 |
+
"acc": 0.0,
|
| 719 |
+
"acc_stderr": 0.0
|
| 720 |
+
},
|
| 721 |
+
"harness|winogrande|5": {
|
| 722 |
+
"acc": 0.6385161799526441,
|
| 723 |
+
"acc_stderr": 0.013502479670791294
|
|
|
|
|
|
|
|
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| 724 |
}
|
| 725 |
}
|
| 726 |
```
|