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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 Writer/palmyra-20b-chat
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dataset_summary: "Dataset automatically created during the evaluation run of model\
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\ [Writer/palmyra-20b-chat](https://huggingface.co/Writer/palmyra-20b-chat) 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 +12,20 @@ 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_Writer__palmyra-20b-chat\"\
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,\n\t\"
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\ that their might be results for other tasks in the repos if successive evals didn't\
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\ cover the same tasks. You find each in the results and the \"latest\" split for\
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\ each eval):\n\n```python\n{\n \"all\": {\n \"
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\ \"
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\ \"
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\ \"
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\ \"
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\
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\ },\n \"harness|
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\ \"
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\
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: {\n \"acc\": 0.28,\n \"acc_stderr\": 0.04512608598542129,\n \
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\ \"acc_norm\": 0.28,\n \"acc_norm_stderr\": 0.04512608598542129\n \
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\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.3851851851851852,\n\
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\ \"acc_stderr\": 0.042039210401562783,\n \"acc_norm\": 0.3851851851851852,\n\
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\ \"acc_norm_stderr\": 0.042039210401562783\n },\n \"harness|hendrycksTest-astronomy|5\"\
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: {\n \"acc\": 0.34210526315789475,\n \"acc_stderr\": 0.038607315993160925,\n\
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\ \"acc_norm\": 0.34210526315789475,\n \"acc_norm_stderr\": 0.038607315993160925\n\
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\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.29,\n\
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\ \"acc_stderr\": 0.04560480215720684,\n \"acc_norm\": 0.29,\n \
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\ \"acc_norm_stderr\": 0.04560480215720684\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
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: {\n \"acc\": 0.37735849056603776,\n \"acc_stderr\": 0.02983280811479601,\n\
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\ \"acc_norm\": 0.37735849056603776,\n \"acc_norm_stderr\": 0.02983280811479601\n\
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\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.3611111111111111,\n\
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\ \"acc_stderr\": 0.04016660030451233,\n \"acc_norm\": 0.3611111111111111,\n\
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\ \"acc_norm_stderr\": 0.04016660030451233\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
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: {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \
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\ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \
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\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
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: 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \"acc_norm\": 0.31,\n\
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\ \"acc_norm_stderr\": 0.04648231987117316\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
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: {\n \"acc\": 0.29,\n \"acc_stderr\": 0.04560480215720683,\n \
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\ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.04560480215720683\n \
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\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.32947976878612717,\n\
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\ \"acc_stderr\": 0.03583901754736411,\n \"acc_norm\": 0.32947976878612717,\n\
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\ \"acc_norm_stderr\": 0.03583901754736411\n },\n \"harness|hendrycksTest-college_physics|5\"\
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: {\n \"acc\": 0.18627450980392157,\n \"acc_stderr\": 0.03873958714149351,\n\
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\ \"acc_norm\": 0.18627450980392157,\n \"acc_norm_stderr\": 0.03873958714149351\n\
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\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
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\ 0.43,\n \"acc_stderr\": 0.04975698519562428,\n \"acc_norm\": 0.43,\n\
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\ \"acc_norm_stderr\": 0.04975698519562428\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
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: {\n \"acc\": 0.3276595744680851,\n \"acc_stderr\": 0.030683020843231004,\n\
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\ \"acc_norm\": 0.3276595744680851,\n \"acc_norm_stderr\": 0.030683020843231004\n\
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\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.3157894736842105,\n\
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\ \"acc_stderr\": 0.04372748290278007,\n \"acc_norm\": 0.3157894736842105,\n\
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\ \"acc_norm_stderr\": 0.04372748290278007\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
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: {\n \"acc\": 0.41379310344827586,\n \"acc_stderr\": 0.04104269211806232,\n\
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\ \"acc_norm\": 0.41379310344827586,\n \"acc_norm_stderr\": 0.04104269211806232\n\
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\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
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: 0.2777777777777778,\n \"acc_stderr\": 0.023068188848261114,\n \"\
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acc_norm\": 0.2777777777777778,\n \"acc_norm_stderr\": 0.023068188848261114\n\
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\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.31746031746031744,\n\
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\ \"acc_stderr\": 0.04163453031302859,\n \"acc_norm\": 0.31746031746031744,\n\
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\ \"acc_norm_stderr\": 0.04163453031302859\n },\n \"harness|hendrycksTest-global_facts|5\"\
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: {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695236,\n \
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\ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695236\n \
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\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.3903225806451613,\n\
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\ \"acc_stderr\": 0.027751256636969576,\n \"acc_norm\": 0.3903225806451613,\n\
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\ \"acc_norm_stderr\": 0.027751256636969576\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
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: {\n \"acc\": 0.31527093596059114,\n \"acc_stderr\": 0.03269080871970187,\n\
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\ \"acc_norm\": 0.31527093596059114,\n \"acc_norm_stderr\": 0.03269080871970187\n\
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\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
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\ \"acc\": 0.27,\n \"acc_stderr\": 0.044619604333847394,\n \"acc_norm\"\
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: 0.27,\n \"acc_norm_stderr\": 0.044619604333847394\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
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: {\n \"acc\": 0.2909090909090909,\n \"acc_stderr\": 0.03546563019624336,\n\
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\ \"acc_norm\": 0.2909090909090909,\n \"acc_norm_stderr\": 0.03546563019624336\n\
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\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
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: 0.398989898989899,\n \"acc_stderr\": 0.034889016168527305,\n \"\
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acc_norm\": 0.398989898989899,\n \"acc_norm_stderr\": 0.034889016168527305\n\
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\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
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\ \"acc\": 0.45077720207253885,\n \"acc_stderr\": 0.03590910952235524,\n\
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\ \"acc_norm\": 0.45077720207253885,\n \"acc_norm_stderr\": 0.03590910952235524\n\
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\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
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\ \"acc\": 0.3487179487179487,\n \"acc_stderr\": 0.02416278028401772,\n \
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\ \"acc_norm\": 0.3487179487179487,\n \"acc_norm_stderr\": 0.02416278028401772\n\
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\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
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acc\": 0.24074074074074073,\n \"acc_stderr\": 0.026067159222275794,\n \
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\ \"acc_norm\": 0.24074074074074073,\n \"acc_norm_stderr\": 0.026067159222275794\n\
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\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
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\ \"acc\": 0.36134453781512604,\n \"acc_stderr\": 0.031204691225150006,\n\
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\ \"acc_norm\": 0.36134453781512604,\n \"acc_norm_stderr\": 0.031204691225150006\n\
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\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
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: 0.2847682119205298,\n \"acc_stderr\": 0.03684881521389023,\n \"\
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acc_norm\": 0.2847682119205298,\n \"acc_norm_stderr\": 0.03684881521389023\n\
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\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
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: 0.4055045871559633,\n \"acc_stderr\": 0.02105099799189684,\n \"\
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acc_norm\": 0.4055045871559633,\n \"acc_norm_stderr\": 0.02105099799189684\n\
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\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
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: 0.2916666666666667,\n \"acc_stderr\": 0.03099866630456052,\n \"\
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| 107 |
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acc_norm\": 0.2916666666666667,\n \"acc_norm_stderr\": 0.03099866630456052\n\
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\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
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: 0.3088235294117647,\n \"acc_stderr\": 0.03242661719827218,\n \"\
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acc_norm\": 0.3088235294117647,\n \"acc_norm_stderr\": 0.03242661719827218\n\
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\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
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acc\": 0.4050632911392405,\n \"acc_stderr\": 0.031955147413706746,\n \
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\ \"acc_norm\": 0.4050632911392405,\n \"acc_norm_stderr\": 0.031955147413706746\n\
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\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.37668161434977576,\n\
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\ \"acc_stderr\": 0.032521134899291884,\n \"acc_norm\": 0.37668161434977576,\n\
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\ \"acc_norm_stderr\": 0.032521134899291884\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
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: {\n \"acc\": 0.366412213740458,\n \"acc_stderr\": 0.04225875451969638,\n\
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\ \"acc_norm\": 0.366412213740458,\n \"acc_norm_stderr\": 0.04225875451969638\n\
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\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
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\ 0.45454545454545453,\n \"acc_stderr\": 0.045454545454545456,\n \"\
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acc_norm\": 0.45454545454545453,\n \"acc_norm_stderr\": 0.045454545454545456\n\
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\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.3333333333333333,\n\
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\ \"acc_stderr\": 0.04557239513497752,\n \"acc_norm\": 0.3333333333333333,\n\
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\ \"acc_norm_stderr\": 0.04557239513497752\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
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: {\n \"acc\": 0.4233128834355828,\n \"acc_stderr\": 0.03881891213334382,\n\
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\ \"acc_norm\": 0.4233128834355828,\n \"acc_norm_stderr\": 0.03881891213334382\n\
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\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.3482142857142857,\n\
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\ \"acc_stderr\": 0.04521829902833585,\n \"acc_norm\": 0.3482142857142857,\n\
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\ \"acc_norm_stderr\": 0.04521829902833585\n },\n \"harness|hendrycksTest-management|5\"\
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: {\n \"acc\": 0.3786407766990291,\n \"acc_stderr\": 0.04802694698258973,\n\
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\ \"acc_norm\": 0.3786407766990291,\n \"acc_norm_stderr\": 0.04802694698258973\n\
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\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.5213675213675214,\n\
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\ \"acc_stderr\": 0.03272616447634955,\n \"acc_norm\": 0.5213675213675214,\n\
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\ \"acc_norm_stderr\": 0.03272616447634955\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
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| 135 |
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: {\n \"acc\": 0.42,\n \"acc_stderr\": 0.049604496374885836,\n \
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\ \"acc_norm\": 0.42,\n \"acc_norm_stderr\": 0.049604496374885836\n \
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\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.40102171136653897,\n\
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| 138 |
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\ \"acc_stderr\": 0.017526133150124575,\n \"acc_norm\": 0.40102171136653897,\n\
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| 139 |
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\ \"acc_norm_stderr\": 0.017526133150124575\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
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| 140 |
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: {\n \"acc\": 0.29190751445086704,\n \"acc_stderr\": 0.024476994076247323,\n\
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\ \"acc_norm\": 0.29190751445086704,\n \"acc_norm_stderr\": 0.024476994076247323\n\
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\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.2446927374301676,\n\
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\ \"acc_stderr\": 0.01437816988409843,\n \"acc_norm\": 0.2446927374301676,\n\
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\ \"acc_norm_stderr\": 0.01437816988409843\n },\n \"harness|hendrycksTest-nutrition|5\"\
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| 145 |
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: {\n \"acc\": 0.38235294117647056,\n \"acc_stderr\": 0.027826109307283693,\n\
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\ \"acc_norm\": 0.38235294117647056,\n \"acc_norm_stderr\": 0.027826109307283693\n\
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| 147 |
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\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.40836012861736337,\n\
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\ \"acc_stderr\": 0.02791705074848462,\n \"acc_norm\": 0.40836012861736337,\n\
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\ \"acc_norm_stderr\": 0.02791705074848462\n },\n \"harness|hendrycksTest-prehistory|5\"\
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| 150 |
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: {\n \"acc\": 0.3395061728395062,\n \"acc_stderr\": 0.026348564412011635,\n\
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\ \"acc_norm\": 0.3395061728395062,\n \"acc_norm_stderr\": 0.026348564412011635\n\
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\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
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| 153 |
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acc\": 0.2801418439716312,\n \"acc_stderr\": 0.026789172351140242,\n \
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| 154 |
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\ \"acc_norm\": 0.2801418439716312,\n \"acc_norm_stderr\": 0.026789172351140242\n\
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\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.30182529335071706,\n\
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| 156 |
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\ \"acc_stderr\": 0.01172435051810589,\n \"acc_norm\": 0.30182529335071706,\n\
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| 157 |
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\ \"acc_norm_stderr\": 0.01172435051810589\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
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| 158 |
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: {\n \"acc\": 0.3713235294117647,\n \"acc_stderr\": 0.02934980313976587,\n\
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| 159 |
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\ \"acc_norm\": 0.3713235294117647,\n \"acc_norm_stderr\": 0.02934980313976587\n\
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| 160 |
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\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
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| 161 |
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acc\": 0.31699346405228757,\n \"acc_stderr\": 0.01882421951270621,\n \
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\ \"acc_norm\": 0.31699346405228757,\n \"acc_norm_stderr\": 0.01882421951270621\n\
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\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.37272727272727274,\n\
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| 164 |
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\ \"acc_stderr\": 0.046313813194254635,\n \"acc_norm\": 0.37272727272727274,\n\
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\ \"acc_norm_stderr\": 0.046313813194254635\n },\n \"harness|hendrycksTest-security_studies|5\"\
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| 166 |
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: {\n \"acc\": 0.4204081632653061,\n \"acc_stderr\": 0.03160106993449603,\n\
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| 167 |
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\ \"acc_norm\": 0.4204081632653061,\n \"acc_norm_stderr\": 0.03160106993449603\n\
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| 168 |
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\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.39303482587064675,\n\
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| 169 |
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\ \"acc_stderr\": 0.0345368246603156,\n \"acc_norm\": 0.39303482587064675,\n\
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| 170 |
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\ \"acc_norm_stderr\": 0.0345368246603156\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
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| 171 |
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: {\n \"acc\": 0.46,\n \"acc_stderr\": 0.05009082659620332,\n \
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\ \"acc_norm\": 0.46,\n \"acc_norm_stderr\": 0.05009082659620332\n \
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\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.41566265060240964,\n\
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\ \"acc_stderr\": 0.03836722176598052,\n \"acc_norm\": 0.41566265060240964,\n\
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\ \"acc_norm_stderr\": 0.03836722176598052\n },\n \"harness|hendrycksTest-world_religions|5\"\
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: {\n \"acc\": 0.38596491228070173,\n \"acc_stderr\": 0.03733756969066164,\n\
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\ \"acc_norm\": 0.38596491228070173,\n \"acc_norm_stderr\": 0.03733756969066164\n\
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\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.2778457772337821,\n\
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\ \"mc1_stderr\": 0.01568092936402465,\n \"mc2\": 0.4316529913423131,\n\
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\ \"mc2_stderr\": 0.015655577806555094\n }\n}\n```"
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repo_url: https://huggingface.co/Writer/palmyra-20b-chat
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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_2023-10-08T18-46-04.606475.parquet'
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- config_name: harness_hellaswag_10
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data_files:
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- split: 2023_10_08T18_46_04.606475
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@@ -782,14 +646,25 @@ configs:
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- split: latest
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| 783 |
path:
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| 784 |
- '**/details_harness|truthfulqa:mc|0_2023-10-08T18-46-04.606475.parquet'
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- config_name: results
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data_files:
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| 787 |
- split: 2023_10_08T18_46_04.606475
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| 788 |
path:
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| 789 |
- results_2023-10-08T18-46-04.606475.parquet
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| 790 |
- split: latest
|
| 791 |
path:
|
| 792 |
-
- results_2023-10-
|
| 793 |
---
|
| 794 |
|
| 795 |
# Dataset Card for Evaluation run of Writer/palmyra-20b-chat
|
|
@@ -806,9 +681,9 @@ configs:
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|
| 806 |
|
| 807 |
Dataset automatically created during the evaluation run of model [Writer/palmyra-20b-chat](https://huggingface.co/Writer/palmyra-20b-chat) 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)).
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| 814 |
|
|
@@ -816,385 +691,37 @@ To load the details from a run, you can for instance do the following:
|
|
| 816 |
```python
|
| 817 |
from datasets import load_dataset
|
| 818 |
data = load_dataset("open-llm-leaderboard/details_Writer__palmyra-20b-chat",
|
| 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 |
-
"
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| 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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-
"
|
| 849 |
-
"
|
| 850 |
-
},
|
| 851 |
-
"harness|hendrycksTest-abstract_algebra|5": {
|
| 852 |
-
"acc": 0.28,
|
| 853 |
-
"acc_stderr": 0.04512608598542129,
|
| 854 |
-
"acc_norm": 0.28,
|
| 855 |
-
"acc_norm_stderr": 0.04512608598542129
|
| 856 |
-
},
|
| 857 |
-
"harness|hendrycksTest-anatomy|5": {
|
| 858 |
-
"acc": 0.3851851851851852,
|
| 859 |
-
"acc_stderr": 0.042039210401562783,
|
| 860 |
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"acc_norm": 0.3851851851851852,
|
| 861 |
-
"acc_norm_stderr": 0.042039210401562783
|
| 862 |
-
},
|
| 863 |
-
"harness|hendrycksTest-astronomy|5": {
|
| 864 |
-
"acc": 0.34210526315789475,
|
| 865 |
-
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| 866 |
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"acc_norm": 0.34210526315789475,
|
| 867 |
-
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|
| 868 |
-
},
|
| 869 |
-
"harness|hendrycksTest-business_ethics|5": {
|
| 870 |
-
"acc": 0.29,
|
| 871 |
-
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|
| 872 |
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"acc_norm": 0.29,
|
| 873 |
-
"acc_norm_stderr": 0.04560480215720684
|
| 874 |
-
},
|
| 875 |
-
"harness|hendrycksTest-clinical_knowledge|5": {
|
| 876 |
-
"acc": 0.37735849056603776,
|
| 877 |
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| 878 |
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"acc_norm": 0.37735849056603776,
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| 879 |
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|
| 880 |
-
},
|
| 881 |
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"harness|hendrycksTest-college_biology|5": {
|
| 882 |
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|
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| 884 |
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"acc_norm": 0.3611111111111111,
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| 885 |
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"acc_norm_stderr": 0.04016660030451233
|
| 886 |
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},
|
| 887 |
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"harness|hendrycksTest-college_chemistry|5": {
|
| 888 |
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"acc": 0.31,
|
| 889 |
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|
| 890 |
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"acc_norm": 0.31,
|
| 891 |
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"acc_norm_stderr": 0.04648231987117316
|
| 892 |
-
},
|
| 893 |
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"harness|hendrycksTest-college_computer_science|5": {
|
| 894 |
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"acc": 0.31,
|
| 895 |
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|
| 896 |
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"acc_norm": 0.31,
|
| 897 |
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"acc_norm_stderr": 0.04648231987117316
|
| 898 |
-
},
|
| 899 |
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"harness|hendrycksTest-college_mathematics|5": {
|
| 900 |
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"acc": 0.29,
|
| 901 |
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"acc_stderr": 0.04560480215720683,
|
| 902 |
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"acc_norm": 0.29,
|
| 903 |
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"acc_norm_stderr": 0.04560480215720683
|
| 904 |
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},
|
| 905 |
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"harness|hendrycksTest-college_medicine|5": {
|
| 906 |
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|
| 907 |
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"acc_norm": 0.32947976878612717,
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| 909 |
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| 910 |
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|
| 911 |
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"harness|hendrycksTest-college_physics|5": {
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| 912 |
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| 916 |
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"harness|hendrycksTest-computer_security|5": {
|
| 918 |
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"acc": 0.43,
|
| 919 |
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|
| 920 |
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"acc_norm": 0.43,
|
| 921 |
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"acc_norm_stderr": 0.04975698519562428
|
| 922 |
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},
|
| 923 |
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"harness|hendrycksTest-conceptual_physics|5": {
|
| 924 |
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| 925 |
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| 927 |
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| 928 |
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|
| 929 |
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"harness|hendrycksTest-econometrics|5": {
|
| 930 |
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| 931 |
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| 934 |
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| 935 |
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| 936 |
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| 940 |
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| 946 |
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| 952 |
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| 953 |
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"harness|hendrycksTest-global_facts|5": {
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| 954 |
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| 960 |
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| 964 |
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| 970 |
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|
| 978 |
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| 982 |
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| 983 |
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| 987 |
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| 988 |
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},
|
| 989 |
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|
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| 991 |
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| 994 |
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| 999 |
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| 1000 |
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|
| 1001 |
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|
| 1002 |
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| 1003 |
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| 1005 |
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| 1006 |
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| 1007 |
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|
| 1008 |
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| 1009 |
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| 1012 |
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| 1013 |
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|
| 1014 |
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| 1015 |
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| 1018 |
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| 1019 |
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|
| 1020 |
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| 1021 |
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| 1024 |
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| 1025 |
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|
| 1026 |
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| 1027 |
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|
| 1030 |
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| 1031 |
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|
| 1032 |
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| 1036 |
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|
| 1037 |
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|
| 1038 |
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| 1042 |
-
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| 1043 |
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|
| 1044 |
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| 1048 |
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|
| 1049 |
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|
| 1050 |
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| 1051 |
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| 1054 |
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|
| 1055 |
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|
| 1056 |
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| 1057 |
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| 1059 |
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|
| 1060 |
-
},
|
| 1061 |
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"harness|hendrycksTest-jurisprudence|5": {
|
| 1062 |
-
"acc": 0.3333333333333333,
|
| 1063 |
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| 1065 |
-
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| 1066 |
-
},
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| 1067 |
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|
| 1068 |
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| 1069 |
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| 1071 |
-
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|
| 1072 |
-
},
|
| 1073 |
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"harness|hendrycksTest-machine_learning|5": {
|
| 1074 |
-
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|
| 1075 |
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|
| 1076 |
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| 1077 |
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|
| 1078 |
-
},
|
| 1079 |
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"harness|hendrycksTest-management|5": {
|
| 1080 |
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| 1081 |
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| 1083 |
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| 1084 |
-
},
|
| 1085 |
-
"harness|hendrycksTest-marketing|5": {
|
| 1086 |
-
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| 1087 |
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| 1089 |
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|
| 1090 |
-
},
|
| 1091 |
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|
| 1092 |
-
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|
| 1093 |
-
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|
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| 1095 |
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| 1096 |
-
},
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| 1097 |
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"harness|hendrycksTest-miscellaneous|5": {
|
| 1098 |
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|
| 1099 |
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| 1101 |
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| 1102 |
-
},
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| 1103 |
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|
| 1104 |
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| 1105 |
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| 1108 |
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|
| 1109 |
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|
| 1110 |
-
"acc": 0.2446927374301676,
|
| 1111 |
-
"acc_stderr": 0.01437816988409843,
|
| 1112 |
-
"acc_norm": 0.2446927374301676,
|
| 1113 |
-
"acc_norm_stderr": 0.01437816988409843
|
| 1114 |
-
},
|
| 1115 |
-
"harness|hendrycksTest-nutrition|5": {
|
| 1116 |
-
"acc": 0.38235294117647056,
|
| 1117 |
-
"acc_stderr": 0.027826109307283693,
|
| 1118 |
-
"acc_norm": 0.38235294117647056,
|
| 1119 |
-
"acc_norm_stderr": 0.027826109307283693
|
| 1120 |
-
},
|
| 1121 |
-
"harness|hendrycksTest-philosophy|5": {
|
| 1122 |
-
"acc": 0.40836012861736337,
|
| 1123 |
-
"acc_stderr": 0.02791705074848462,
|
| 1124 |
-
"acc_norm": 0.40836012861736337,
|
| 1125 |
-
"acc_norm_stderr": 0.02791705074848462
|
| 1126 |
-
},
|
| 1127 |
-
"harness|hendrycksTest-prehistory|5": {
|
| 1128 |
-
"acc": 0.3395061728395062,
|
| 1129 |
-
"acc_stderr": 0.026348564412011635,
|
| 1130 |
-
"acc_norm": 0.3395061728395062,
|
| 1131 |
-
"acc_norm_stderr": 0.026348564412011635
|
| 1132 |
-
},
|
| 1133 |
-
"harness|hendrycksTest-professional_accounting|5": {
|
| 1134 |
-
"acc": 0.2801418439716312,
|
| 1135 |
-
"acc_stderr": 0.026789172351140242,
|
| 1136 |
-
"acc_norm": 0.2801418439716312,
|
| 1137 |
-
"acc_norm_stderr": 0.026789172351140242
|
| 1138 |
-
},
|
| 1139 |
-
"harness|hendrycksTest-professional_law|5": {
|
| 1140 |
-
"acc": 0.30182529335071706,
|
| 1141 |
-
"acc_stderr": 0.01172435051810589,
|
| 1142 |
-
"acc_norm": 0.30182529335071706,
|
| 1143 |
-
"acc_norm_stderr": 0.01172435051810589
|
| 1144 |
-
},
|
| 1145 |
-
"harness|hendrycksTest-professional_medicine|5": {
|
| 1146 |
-
"acc": 0.3713235294117647,
|
| 1147 |
-
"acc_stderr": 0.02934980313976587,
|
| 1148 |
-
"acc_norm": 0.3713235294117647,
|
| 1149 |
-
"acc_norm_stderr": 0.02934980313976587
|
| 1150 |
-
},
|
| 1151 |
-
"harness|hendrycksTest-professional_psychology|5": {
|
| 1152 |
-
"acc": 0.31699346405228757,
|
| 1153 |
-
"acc_stderr": 0.01882421951270621,
|
| 1154 |
-
"acc_norm": 0.31699346405228757,
|
| 1155 |
-
"acc_norm_stderr": 0.01882421951270621
|
| 1156 |
-
},
|
| 1157 |
-
"harness|hendrycksTest-public_relations|5": {
|
| 1158 |
-
"acc": 0.37272727272727274,
|
| 1159 |
-
"acc_stderr": 0.046313813194254635,
|
| 1160 |
-
"acc_norm": 0.37272727272727274,
|
| 1161 |
-
"acc_norm_stderr": 0.046313813194254635
|
| 1162 |
-
},
|
| 1163 |
-
"harness|hendrycksTest-security_studies|5": {
|
| 1164 |
-
"acc": 0.4204081632653061,
|
| 1165 |
-
"acc_stderr": 0.03160106993449603,
|
| 1166 |
-
"acc_norm": 0.4204081632653061,
|
| 1167 |
-
"acc_norm_stderr": 0.03160106993449603
|
| 1168 |
-
},
|
| 1169 |
-
"harness|hendrycksTest-sociology|5": {
|
| 1170 |
-
"acc": 0.39303482587064675,
|
| 1171 |
-
"acc_stderr": 0.0345368246603156,
|
| 1172 |
-
"acc_norm": 0.39303482587064675,
|
| 1173 |
-
"acc_norm_stderr": 0.0345368246603156
|
| 1174 |
-
},
|
| 1175 |
-
"harness|hendrycksTest-us_foreign_policy|5": {
|
| 1176 |
-
"acc": 0.46,
|
| 1177 |
-
"acc_stderr": 0.05009082659620332,
|
| 1178 |
-
"acc_norm": 0.46,
|
| 1179 |
-
"acc_norm_stderr": 0.05009082659620332
|
| 1180 |
-
},
|
| 1181 |
-
"harness|hendrycksTest-virology|5": {
|
| 1182 |
-
"acc": 0.41566265060240964,
|
| 1183 |
-
"acc_stderr": 0.03836722176598052,
|
| 1184 |
-
"acc_norm": 0.41566265060240964,
|
| 1185 |
-
"acc_norm_stderr": 0.03836722176598052
|
| 1186 |
-
},
|
| 1187 |
-
"harness|hendrycksTest-world_religions|5": {
|
| 1188 |
-
"acc": 0.38596491228070173,
|
| 1189 |
-
"acc_stderr": 0.03733756969066164,
|
| 1190 |
-
"acc_norm": 0.38596491228070173,
|
| 1191 |
-
"acc_norm_stderr": 0.03733756969066164
|
| 1192 |
-
},
|
| 1193 |
-
"harness|truthfulqa:mc|0": {
|
| 1194 |
-
"mc1": 0.2778457772337821,
|
| 1195 |
-
"mc1_stderr": 0.01568092936402465,
|
| 1196 |
-
"mc2": 0.4316529913423131,
|
| 1197 |
-
"mc2_stderr": 0.015655577806555094
|
| 1198 |
}
|
| 1199 |
}
|
| 1200 |
```
|
|
|
|
| 3 |
dataset_summary: "Dataset automatically created during the evaluation run of model\
|
| 4 |
\ [Writer/palmyra-20b-chat](https://huggingface.co/Writer/palmyra-20b-chat) 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_Writer__palmyra-20b-chat\"\
|
| 15 |
+
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
|
| 16 |
+
These are the [latest results from run 2023-10-24T17:34:48.335583](https://huggingface.co/datasets/open-llm-leaderboard/details_Writer__palmyra-20b-chat/blob/main/results_2023-10-24T17-34-48.335583.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\": 0.01373741610738255,\n\
|
| 20 |
+
\ \"em_stderr\": 0.0011920334890960986,\n \"f1\": 0.07696308724832225,\n\
|
| 21 |
+
\ \"f1_stderr\": 0.0018555585236602612,\n \"acc\": 0.3519928816466039,\n\
|
| 22 |
+
\ \"acc_stderr\": 0.009314927967596935\n },\n \"harness|drop|3\": {\n\
|
| 23 |
+
\ \"em\": 0.01373741610738255,\n \"em_stderr\": 0.0011920334890960986,\n\
|
| 24 |
+
\ \"f1\": 0.07696308724832225,\n \"f1_stderr\": 0.0018555585236602612\n\
|
| 25 |
+
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.039423805913570885,\n \
|
| 26 |
+
\ \"acc_stderr\": 0.005360280030342453\n },\n \"harness|winogrande|5\"\
|
| 27 |
+
: {\n \"acc\": 0.664561957379637,\n \"acc_stderr\": 0.013269575904851418\n\
|
| 28 |
+
\ }\n}\n```"
|
|
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|
| 29 |
repo_url: https://huggingface.co/Writer/palmyra-20b-chat
|
| 30 |
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
|
| 31 |
point_of_contact: clementine@hf.co
|
|
|
|
| 38 |
- split: latest
|
| 39 |
path:
|
| 40 |
- '**/details_harness|arc:challenge|25_2023-10-08T18-46-04.606475.parquet'
|
| 41 |
+
- config_name: harness_drop_3
|
| 42 |
+
data_files:
|
| 43 |
+
- split: 2023_10_24T17_34_48.335583
|
| 44 |
+
path:
|
| 45 |
+
- '**/details_harness|drop|3_2023-10-24T17-34-48.335583.parquet'
|
| 46 |
+
- split: latest
|
| 47 |
+
path:
|
| 48 |
+
- '**/details_harness|drop|3_2023-10-24T17-34-48.335583.parquet'
|
| 49 |
+
- config_name: harness_gsm8k_5
|
| 50 |
+
data_files:
|
| 51 |
+
- split: 2023_10_24T17_34_48.335583
|
| 52 |
+
path:
|
| 53 |
+
- '**/details_harness|gsm8k|5_2023-10-24T17-34-48.335583.parquet'
|
| 54 |
+
- split: latest
|
| 55 |
+
path:
|
| 56 |
+
- '**/details_harness|gsm8k|5_2023-10-24T17-34-48.335583.parquet'
|
| 57 |
- config_name: harness_hellaswag_10
|
| 58 |
data_files:
|
| 59 |
- split: 2023_10_08T18_46_04.606475
|
|
|
|
| 646 |
- split: latest
|
| 647 |
path:
|
| 648 |
- '**/details_harness|truthfulqa:mc|0_2023-10-08T18-46-04.606475.parquet'
|
| 649 |
+
- config_name: harness_winogrande_5
|
| 650 |
+
data_files:
|
| 651 |
+
- split: 2023_10_24T17_34_48.335583
|
| 652 |
+
path:
|
| 653 |
+
- '**/details_harness|winogrande|5_2023-10-24T17-34-48.335583.parquet'
|
| 654 |
+
- split: latest
|
| 655 |
+
path:
|
| 656 |
+
- '**/details_harness|winogrande|5_2023-10-24T17-34-48.335583.parquet'
|
| 657 |
- config_name: results
|
| 658 |
data_files:
|
| 659 |
- split: 2023_10_08T18_46_04.606475
|
| 660 |
path:
|
| 661 |
- results_2023-10-08T18-46-04.606475.parquet
|
| 662 |
+
- split: 2023_10_24T17_34_48.335583
|
| 663 |
+
path:
|
| 664 |
+
- results_2023-10-24T17-34-48.335583.parquet
|
| 665 |
- split: latest
|
| 666 |
path:
|
| 667 |
+
- results_2023-10-24T17-34-48.335583.parquet
|
| 668 |
---
|
| 669 |
|
| 670 |
# Dataset Card for Evaluation run of Writer/palmyra-20b-chat
|
|
|
|
| 681 |
|
| 682 |
Dataset automatically created during the evaluation run of model [Writer/palmyra-20b-chat](https://huggingface.co/Writer/palmyra-20b-chat) 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_Writer__palmyra-20b-chat",
|
| 694 |
+
"harness_winogrande_5",
|
| 695 |
split="train")
|
| 696 |
```
|
| 697 |
|
| 698 |
## Latest results
|
| 699 |
|
| 700 |
+
These are the [latest results from run 2023-10-24T17:34:48.335583](https://huggingface.co/datasets/open-llm-leaderboard/details_Writer__palmyra-20b-chat/blob/main/results_2023-10-24T17-34-48.335583.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": 0.01373741610738255,
|
| 706 |
+
"em_stderr": 0.0011920334890960986,
|
| 707 |
+
"f1": 0.07696308724832225,
|
| 708 |
+
"f1_stderr": 0.0018555585236602612,
|
| 709 |
+
"acc": 0.3519928816466039,
|
| 710 |
+
"acc_stderr": 0.009314927967596935
|
| 711 |
+
},
|
| 712 |
+
"harness|drop|3": {
|
| 713 |
+
"em": 0.01373741610738255,
|
| 714 |
+
"em_stderr": 0.0011920334890960986,
|
| 715 |
+
"f1": 0.07696308724832225,
|
| 716 |
+
"f1_stderr": 0.0018555585236602612
|
| 717 |
+
},
|
| 718 |
+
"harness|gsm8k|5": {
|
| 719 |
+
"acc": 0.039423805913570885,
|
| 720 |
+
"acc_stderr": 0.005360280030342453
|
| 721 |
+
},
|
| 722 |
+
"harness|winogrande|5": {
|
| 723 |
+
"acc": 0.664561957379637,
|
| 724 |
+
"acc_stderr": 0.013269575904851418
|
|
|
|
|
|
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| 725 |
}
|
| 726 |
}
|
| 727 |
```
|