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README.md
CHANGED
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@@ -3,8 +3,8 @@ pretty_name: Evaluation run of chargoddard/duplicitous-mammal-13b
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dataset_summary: "Dataset automatically created during the evaluation run of model\
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\ [chargoddard/duplicitous-mammal-13b](https://huggingface.co/chargoddard/duplicitous-mammal-13b)\
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\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
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\nThe dataset is composed of
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\ evaluated task.\n\nThe dataset has been created from
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\ found as a specific split in each configuration, the split being named using the\
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\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
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\nAn additional configuration \"results\" store all the aggregated results of the\
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@@ -12,173 +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_chargoddard__duplicitous-mammal-13b\"\
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,\n\t\"
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-
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\ that their might be results for other tasks in the repos if successive evals didn't\
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\ cover the same tasks. You find each in the results and the \"latest\" split for\
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\ each eval):\n\n```python\n{\n \"all\": {\n \"
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\ \"
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\ \"
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\ \"
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\ \"
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\
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\ },\n \"harness|
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\ \"
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\
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: {\n \"acc\": 0.37,\n \"acc_stderr\": 0.04852365870939098,\n \
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\ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.04852365870939098\n \
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\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.4888888888888889,\n\
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\ \"acc_stderr\": 0.04318275491977976,\n \"acc_norm\": 0.4888888888888889,\n\
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\ \"acc_norm_stderr\": 0.04318275491977976\n },\n \"harness|hendrycksTest-astronomy|5\"\
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: {\n \"acc\": 0.5263157894736842,\n \"acc_stderr\": 0.04063302731486671,\n\
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\ \"acc_norm\": 0.5263157894736842,\n \"acc_norm_stderr\": 0.04063302731486671\n\
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\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.52,\n\
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\ \"acc_stderr\": 0.050211673156867795,\n \"acc_norm\": 0.52,\n \
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\ \"acc_norm_stderr\": 0.050211673156867795\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
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: {\n \"acc\": 0.6037735849056604,\n \"acc_stderr\": 0.030102793781791197,\n\
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\ \"acc_norm\": 0.6037735849056604,\n \"acc_norm_stderr\": 0.030102793781791197\n\
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\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6388888888888888,\n\
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\ \"acc_stderr\": 0.04016660030451233,\n \"acc_norm\": 0.6388888888888888,\n\
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\ \"acc_norm_stderr\": 0.04016660030451233\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
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: {\n \"acc\": 0.35,\n \"acc_stderr\": 0.047937248544110196,\n \
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\ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.047937248544110196\n \
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\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\
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acc\": 0.53,\n \"acc_stderr\": 0.050161355804659205,\n \"acc_norm\"\
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: 0.53,\n \"acc_norm_stderr\": 0.050161355804659205\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
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: {\n \"acc\": 0.38,\n \"acc_stderr\": 0.04878317312145632,\n \
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\ \"acc_norm\": 0.38,\n \"acc_norm_stderr\": 0.04878317312145632\n \
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\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.5202312138728323,\n\
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\ \"acc_stderr\": 0.03809342081273957,\n \"acc_norm\": 0.5202312138728323,\n\
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\ \"acc_norm_stderr\": 0.03809342081273957\n },\n \"harness|hendrycksTest-college_physics|5\"\
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: {\n \"acc\": 0.2549019607843137,\n \"acc_stderr\": 0.0433643270799318,\n\
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\ \"acc_norm\": 0.2549019607843137,\n \"acc_norm_stderr\": 0.0433643270799318\n\
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\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
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\ 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \"acc_norm\": 0.7,\n\
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\ \"acc_norm_stderr\": 0.046056618647183814\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
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: {\n \"acc\": 0.46808510638297873,\n \"acc_stderr\": 0.03261936918467382,\n\
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\ \"acc_norm\": 0.46808510638297873,\n \"acc_norm_stderr\": 0.03261936918467382\n\
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\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.2894736842105263,\n\
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\ \"acc_stderr\": 0.04266339443159394,\n \"acc_norm\": 0.2894736842105263,\n\
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\ \"acc_norm_stderr\": 0.04266339443159394\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
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: {\n \"acc\": 0.5379310344827586,\n \"acc_stderr\": 0.041546596717075474,\n\
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\ \"acc_norm\": 0.5379310344827586,\n \"acc_norm_stderr\": 0.041546596717075474\n\
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\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
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: 0.35185185185185186,\n \"acc_stderr\": 0.024594975128920938,\n \"\
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acc_norm\": 0.35185185185185186,\n \"acc_norm_stderr\": 0.024594975128920938\n\
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\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.4126984126984127,\n\
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\ \"acc_stderr\": 0.04403438954768176,\n \"acc_norm\": 0.4126984126984127,\n\
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\ \"acc_norm_stderr\": 0.04403438954768176\n },\n \"harness|hendrycksTest-global_facts|5\"\
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: {\n \"acc\": 0.35,\n \"acc_stderr\": 0.047937248544110196,\n \
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\ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.047937248544110196\n \
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\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\
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: 0.6451612903225806,\n \"acc_stderr\": 0.027218889773308767,\n \"\
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acc_norm\": 0.6451612903225806,\n \"acc_norm_stderr\": 0.027218889773308767\n\
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\ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\
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: 0.45320197044334976,\n \"acc_stderr\": 0.03502544650845872,\n \"\
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acc_norm\": 0.45320197044334976,\n \"acc_norm_stderr\": 0.03502544650845872\n\
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\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
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\ \"acc\": 0.56,\n \"acc_stderr\": 0.04988876515698589,\n \"acc_norm\"\
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: 0.56,\n \"acc_norm_stderr\": 0.04988876515698589\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
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: {\n \"acc\": 0.703030303030303,\n \"acc_stderr\": 0.035679697722680495,\n\
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\ \"acc_norm\": 0.703030303030303,\n \"acc_norm_stderr\": 0.035679697722680495\n\
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\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
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: 0.702020202020202,\n \"acc_stderr\": 0.03258630383836556,\n \"acc_norm\"\
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: 0.702020202020202,\n \"acc_norm_stderr\": 0.03258630383836556\n },\n\
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\ \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n \
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\ \"acc\": 0.844559585492228,\n \"acc_stderr\": 0.026148483469153303,\n\
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\ \"acc_norm\": 0.844559585492228,\n \"acc_norm_stderr\": 0.026148483469153303\n\
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\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
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\ \"acc\": 0.5564102564102564,\n \"acc_stderr\": 0.025189149894764205,\n\
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\ \"acc_norm\": 0.5564102564102564,\n \"acc_norm_stderr\": 0.025189149894764205\n\
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\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
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acc\": 0.3111111111111111,\n \"acc_stderr\": 0.028226446749683515,\n \
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\ \"acc_norm\": 0.3111111111111111,\n \"acc_norm_stderr\": 0.028226446749683515\n\
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\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
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\ \"acc\": 0.5588235294117647,\n \"acc_stderr\": 0.032252942323996406,\n\
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\ \"acc_norm\": 0.5588235294117647,\n \"acc_norm_stderr\": 0.032252942323996406\n\
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\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
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: 0.3841059602649007,\n \"acc_stderr\": 0.03971301814719197,\n \"\
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acc_norm\": 0.3841059602649007,\n \"acc_norm_stderr\": 0.03971301814719197\n\
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\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
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: 0.763302752293578,\n \"acc_stderr\": 0.018224078117299092,\n \"\
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acc_norm\": 0.763302752293578,\n \"acc_norm_stderr\": 0.018224078117299092\n\
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\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
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: 0.4351851851851852,\n \"acc_stderr\": 0.03381200005643525,\n \"\
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| 108 |
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acc_norm\": 0.4351851851851852,\n \"acc_norm_stderr\": 0.03381200005643525\n\
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\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
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: 0.7941176470588235,\n \"acc_stderr\": 0.028379449451588663,\n \"\
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acc_norm\": 0.7941176470588235,\n \"acc_norm_stderr\": 0.028379449451588663\n\
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\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
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acc\": 0.7721518987341772,\n \"acc_stderr\": 0.027303484599069432,\n \
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\ \"acc_norm\": 0.7721518987341772,\n \"acc_norm_stderr\": 0.027303484599069432\n\
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\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6995515695067265,\n\
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\ \"acc_stderr\": 0.030769352008229146,\n \"acc_norm\": 0.6995515695067265,\n\
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\ \"acc_norm_stderr\": 0.030769352008229146\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
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: {\n \"acc\": 0.6106870229007634,\n \"acc_stderr\": 0.04276486542814591,\n\
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\ \"acc_norm\": 0.6106870229007634,\n \"acc_norm_stderr\": 0.04276486542814591\n\
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\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
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\ 0.7355371900826446,\n \"acc_stderr\": 0.04026187527591207,\n \"\
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acc_norm\": 0.7355371900826446,\n \"acc_norm_stderr\": 0.04026187527591207\n\
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\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.75,\n\
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\ \"acc_stderr\": 0.04186091791394607,\n \"acc_norm\": 0.75,\n \
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\ \"acc_norm_stderr\": 0.04186091791394607\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
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: {\n \"acc\": 0.6503067484662577,\n \"acc_stderr\": 0.03746668325470021,\n\
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\ \"acc_norm\": 0.6503067484662577,\n \"acc_norm_stderr\": 0.03746668325470021\n\
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\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.4375,\n\
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\ \"acc_stderr\": 0.04708567521880525,\n \"acc_norm\": 0.4375,\n \
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\ \"acc_norm_stderr\": 0.04708567521880525\n },\n \"harness|hendrycksTest-management|5\"\
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: {\n \"acc\": 0.6893203883495146,\n \"acc_stderr\": 0.0458212416016155,\n\
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\ \"acc_norm\": 0.6893203883495146,\n \"acc_norm_stderr\": 0.0458212416016155\n\
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\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8290598290598291,\n\
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\ \"acc_stderr\": 0.02466249684520982,\n \"acc_norm\": 0.8290598290598291,\n\
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\ \"acc_norm_stderr\": 0.02466249684520982\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
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: {\n \"acc\": 0.58,\n \"acc_stderr\": 0.04960449637488583,\n \
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\ \"acc_norm\": 0.58,\n \"acc_norm_stderr\": 0.04960449637488583\n \
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\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.7803320561941252,\n\
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\ \"acc_stderr\": 0.01480538447837115,\n \"acc_norm\": 0.7803320561941252,\n\
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\ \"acc_norm_stderr\": 0.01480538447837115\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
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: {\n \"acc\": 0.6502890173410405,\n \"acc_stderr\": 0.025674281456531018,\n\
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\ \"acc_norm\": 0.6502890173410405,\n \"acc_norm_stderr\": 0.025674281456531018\n\
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\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.48156424581005586,\n\
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\ \"acc_stderr\": 0.016711130497782813,\n \"acc_norm\": 0.48156424581005586,\n\
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\ \"acc_norm_stderr\": 0.016711130497782813\n },\n \"harness|hendrycksTest-nutrition|5\"\
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: {\n \"acc\": 0.6241830065359477,\n \"acc_stderr\": 0.027732834353363933,\n\
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\ \"acc_norm\": 0.6241830065359477,\n \"acc_norm_stderr\": 0.027732834353363933\n\
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\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6463022508038585,\n\
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\ \"acc_stderr\": 0.027155208103200865,\n \"acc_norm\": 0.6463022508038585,\n\
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\ \"acc_norm_stderr\": 0.027155208103200865\n },\n \"harness|hendrycksTest-prehistory|5\"\
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: {\n \"acc\": 0.6512345679012346,\n \"acc_stderr\": 0.026517597724465013,\n\
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\ \"acc_norm\": 0.6512345679012346,\n \"acc_norm_stderr\": 0.026517597724465013\n\
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\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
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acc\": 0.4148936170212766,\n \"acc_stderr\": 0.0293922365846125,\n \
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\ \"acc_norm\": 0.4148936170212766,\n \"acc_norm_stderr\": 0.0293922365846125\n\
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\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.44654498044328556,\n\
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| 157 |
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\ \"acc_stderr\": 0.012697046024399684,\n \"acc_norm\": 0.44654498044328556,\n\
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\ \"acc_norm_stderr\": 0.012697046024399684\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
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| 159 |
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: {\n \"acc\": 0.5404411764705882,\n \"acc_stderr\": 0.030273325077345755,\n\
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| 160 |
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\ \"acc_norm\": 0.5404411764705882,\n \"acc_norm_stderr\": 0.030273325077345755\n\
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| 161 |
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\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
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| 162 |
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acc\": 0.5915032679738562,\n \"acc_stderr\": 0.01988622103750187,\n \
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\ \"acc_norm\": 0.5915032679738562,\n \"acc_norm_stderr\": 0.01988622103750187\n\
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\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6909090909090909,\n\
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\ \"acc_stderr\": 0.044262946482000985,\n \"acc_norm\": 0.6909090909090909,\n\
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\ \"acc_norm_stderr\": 0.044262946482000985\n },\n \"harness|hendrycksTest-security_studies|5\"\
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| 167 |
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: {\n \"acc\": 0.6612244897959184,\n \"acc_stderr\": 0.030299506562154185,\n\
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| 168 |
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\ \"acc_norm\": 0.6612244897959184,\n \"acc_norm_stderr\": 0.030299506562154185\n\
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\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.7313432835820896,\n\
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| 170 |
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\ \"acc_stderr\": 0.03134328358208955,\n \"acc_norm\": 0.7313432835820896,\n\
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| 171 |
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\ \"acc_norm_stderr\": 0.03134328358208955\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
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| 172 |
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: {\n \"acc\": 0.84,\n \"acc_stderr\": 0.03684529491774707,\n \
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| 173 |
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\ \"acc_norm\": 0.84,\n \"acc_norm_stderr\": 0.03684529491774707\n \
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\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.46987951807228917,\n\
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\ \"acc_stderr\": 0.03885425420866766,\n \"acc_norm\": 0.46987951807228917,\n\
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\ \"acc_norm_stderr\": 0.03885425420866766\n },\n \"harness|hendrycksTest-world_religions|5\"\
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: {\n \"acc\": 0.7953216374269005,\n \"acc_stderr\": 0.03094445977853321,\n\
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\ \"acc_norm\": 0.7953216374269005,\n \"acc_norm_stderr\": 0.03094445977853321\n\
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\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.3623011015911873,\n\
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\ \"mc1_stderr\": 0.016826646897262258,\n \"mc2\": 0.5227009331210287,\n\
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\ \"mc2_stderr\": 0.015839308789732245\n }\n}\n```"
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repo_url: https://huggingface.co/chargoddard/duplicitous-mammal-13b
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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_2023-10-08T19-36-16.264447.parquet'
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- config_name: harness_hellaswag_10
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data_files:
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- split: 2023_10_08T19_36_16.264447
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|
@@ -783,14 +646,25 @@ configs:
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- split: latest
|
| 784 |
path:
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| 785 |
- '**/details_harness|truthfulqa:mc|0_2023-10-08T19-36-16.264447.parquet'
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| 786 |
- config_name: results
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| 787 |
data_files:
|
| 788 |
- split: 2023_10_08T19_36_16.264447
|
| 789 |
path:
|
| 790 |
- results_2023-10-08T19-36-16.264447.parquet
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| 791 |
- split: latest
|
| 792 |
path:
|
| 793 |
-
- results_2023-10-
|
| 794 |
---
|
| 795 |
|
| 796 |
# Dataset Card for Evaluation run of chargoddard/duplicitous-mammal-13b
|
|
@@ -807,9 +681,9 @@ configs:
|
|
| 807 |
|
| 808 |
Dataset automatically created during the evaluation run of model [chargoddard/duplicitous-mammal-13b](https://huggingface.co/chargoddard/duplicitous-mammal-13b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
|
| 809 |
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| 810 |
-
The dataset is composed of
|
| 811 |
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| 812 |
-
The dataset has been created from
|
| 813 |
|
| 814 |
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)).
|
| 815 |
|
|
@@ -817,385 +691,37 @@ To load the details from a run, you can for instance do the following:
|
|
| 817 |
```python
|
| 818 |
from datasets import load_dataset
|
| 819 |
data = load_dataset("open-llm-leaderboard/details_chargoddard__duplicitous-mammal-13b",
|
| 820 |
-
"
|
| 821 |
split="train")
|
| 822 |
```
|
| 823 |
|
| 824 |
## Latest results
|
| 825 |
|
| 826 |
-
These are the [latest results from run 2023-10-
|
| 827 |
|
| 828 |
```python
|
| 829 |
{
|
| 830 |
"all": {
|
| 831 |
-
"
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| 832 |
-
"
|
| 833 |
-
"
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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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-
"
|
| 850 |
-
"
|
| 851 |
-
},
|
| 852 |
-
"harness|hendrycksTest-abstract_algebra|5": {
|
| 853 |
-
"acc": 0.37,
|
| 854 |
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"acc_stderr": 0.04852365870939098,
|
| 855 |
-
"acc_norm": 0.37,
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| 856 |
-
"acc_norm_stderr": 0.04852365870939098
|
| 857 |
-
},
|
| 858 |
-
"harness|hendrycksTest-anatomy|5": {
|
| 859 |
-
"acc": 0.4888888888888889,
|
| 860 |
-
"acc_stderr": 0.04318275491977976,
|
| 861 |
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"acc_norm": 0.4888888888888889,
|
| 862 |
-
"acc_norm_stderr": 0.04318275491977976
|
| 863 |
-
},
|
| 864 |
-
"harness|hendrycksTest-astronomy|5": {
|
| 865 |
-
"acc": 0.5263157894736842,
|
| 866 |
-
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| 867 |
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"acc_norm": 0.5263157894736842,
|
| 868 |
-
"acc_norm_stderr": 0.04063302731486671
|
| 869 |
-
},
|
| 870 |
-
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|
| 871 |
-
"acc": 0.52,
|
| 872 |
-
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|
| 873 |
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"acc_norm": 0.52,
|
| 874 |
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"acc_norm_stderr": 0.050211673156867795
|
| 875 |
-
},
|
| 876 |
-
"harness|hendrycksTest-clinical_knowledge|5": {
|
| 877 |
-
"acc": 0.6037735849056604,
|
| 878 |
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| 879 |
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"acc_norm": 0.6037735849056604,
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| 880 |
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|
| 881 |
-
},
|
| 882 |
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"harness|hendrycksTest-college_biology|5": {
|
| 883 |
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"acc": 0.6388888888888888,
|
| 884 |
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|
| 885 |
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"acc_norm": 0.6388888888888888,
|
| 886 |
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"acc_norm_stderr": 0.04016660030451233
|
| 887 |
-
},
|
| 888 |
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"harness|hendrycksTest-college_chemistry|5": {
|
| 889 |
-
"acc": 0.35,
|
| 890 |
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"acc_stderr": 0.047937248544110196,
|
| 891 |
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"acc_norm": 0.35,
|
| 892 |
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"acc_norm_stderr": 0.047937248544110196
|
| 893 |
-
},
|
| 894 |
-
"harness|hendrycksTest-college_computer_science|5": {
|
| 895 |
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"acc": 0.53,
|
| 896 |
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|
| 897 |
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"acc_norm": 0.53,
|
| 898 |
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|
| 899 |
-
},
|
| 900 |
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"harness|hendrycksTest-college_mathematics|5": {
|
| 901 |
-
"acc": 0.38,
|
| 902 |
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|
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"acc_norm": 0.38,
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| 904 |
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|
| 905 |
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},
|
| 906 |
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"harness|hendrycksTest-college_medicine|5": {
|
| 907 |
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|
| 908 |
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| 910 |
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"acc_norm_stderr": 0.03809342081273957
|
| 911 |
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},
|
| 912 |
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"harness|hendrycksTest-college_physics|5": {
|
| 913 |
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| 914 |
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| 917 |
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|
| 918 |
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"harness|hendrycksTest-computer_security|5": {
|
| 919 |
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"acc": 0.7,
|
| 920 |
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|
| 921 |
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"acc_norm": 0.7,
|
| 922 |
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|
| 923 |
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},
|
| 924 |
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"harness|hendrycksTest-conceptual_physics|5": {
|
| 925 |
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|
| 926 |
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| 929 |
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},
|
| 930 |
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|
| 931 |
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| 932 |
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| 935 |
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| 936 |
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|
| 937 |
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| 941 |
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|
| 943 |
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| 947 |
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|
| 948 |
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|
| 949 |
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| 953 |
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| 954 |
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"harness|hendrycksTest-global_facts|5": {
|
| 955 |
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| 956 |
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| 959 |
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| 960 |
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|
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| 965 |
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| 967 |
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| 968 |
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| 971 |
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| 972 |
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| 974 |
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| 977 |
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},
|
| 978 |
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"harness|hendrycksTest-high_school_european_history|5": {
|
| 979 |
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| 980 |
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| 983 |
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},
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| 984 |
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"harness|hendrycksTest-high_school_geography|5": {
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| 985 |
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"acc_norm": 0.702020202020202,
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| 988 |
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|
| 989 |
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},
|
| 990 |
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|
| 991 |
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| 992 |
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| 995 |
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},
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| 996 |
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"harness|hendrycksTest-high_school_macroeconomics|5": {
|
| 997 |
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|
| 998 |
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| 1000 |
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| 1001 |
-
},
|
| 1002 |
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|
| 1003 |
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| 1004 |
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| 1006 |
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|
| 1007 |
-
},
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| 1008 |
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"harness|hendrycksTest-high_school_microeconomics|5": {
|
| 1009 |
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| 1010 |
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|
| 1013 |
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|
| 1014 |
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|
| 1015 |
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| 1016 |
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| 1018 |
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| 1019 |
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|
| 1020 |
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|
| 1021 |
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|
| 1022 |
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| 1024 |
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| 1025 |
-
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| 1026 |
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|
| 1027 |
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|
| 1028 |
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|
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|
| 1030 |
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|
| 1031 |
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| 1032 |
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|
| 1033 |
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|
| 1034 |
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| 1036 |
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|
| 1037 |
-
},
|
| 1038 |
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"harness|hendrycksTest-high_school_world_history|5": {
|
| 1039 |
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|
| 1040 |
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| 1043 |
-
},
|
| 1044 |
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|
| 1045 |
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|
| 1049 |
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},
|
| 1050 |
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|
| 1051 |
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| 1052 |
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| 1054 |
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|
| 1055 |
-
},
|
| 1056 |
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|
| 1057 |
-
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|
| 1058 |
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| 1060 |
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|
| 1061 |
-
},
|
| 1062 |
-
"harness|hendrycksTest-jurisprudence|5": {
|
| 1063 |
-
"acc": 0.75,
|
| 1064 |
-
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|
| 1065 |
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| 1066 |
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"acc_norm_stderr": 0.04186091791394607
|
| 1067 |
-
},
|
| 1068 |
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"harness|hendrycksTest-logical_fallacies|5": {
|
| 1069 |
-
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|
| 1070 |
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|
| 1071 |
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|
| 1072 |
-
"acc_norm_stderr": 0.03746668325470021
|
| 1073 |
-
},
|
| 1074 |
-
"harness|hendrycksTest-machine_learning|5": {
|
| 1075 |
-
"acc": 0.4375,
|
| 1076 |
-
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|
| 1077 |
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|
| 1078 |
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|
| 1079 |
-
},
|
| 1080 |
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"harness|hendrycksTest-management|5": {
|
| 1081 |
-
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|
| 1082 |
-
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|
| 1083 |
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| 1084 |
-
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|
| 1085 |
-
},
|
| 1086 |
-
"harness|hendrycksTest-marketing|5": {
|
| 1087 |
-
"acc": 0.8290598290598291,
|
| 1088 |
-
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|
| 1090 |
-
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|
| 1091 |
-
},
|
| 1092 |
-
"harness|hendrycksTest-medical_genetics|5": {
|
| 1093 |
-
"acc": 0.58,
|
| 1094 |
-
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|
| 1095 |
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| 1096 |
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|
| 1097 |
-
},
|
| 1098 |
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"harness|hendrycksTest-miscellaneous|5": {
|
| 1099 |
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| 1100 |
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|
| 1101 |
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| 1102 |
-
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|
| 1103 |
-
},
|
| 1104 |
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"harness|hendrycksTest-moral_disputes|5": {
|
| 1105 |
-
"acc": 0.6502890173410405,
|
| 1106 |
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| 1107 |
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| 1108 |
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|
| 1109 |
-
},
|
| 1110 |
-
"harness|hendrycksTest-moral_scenarios|5": {
|
| 1111 |
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"acc": 0.48156424581005586,
|
| 1112 |
-
"acc_stderr": 0.016711130497782813,
|
| 1113 |
-
"acc_norm": 0.48156424581005586,
|
| 1114 |
-
"acc_norm_stderr": 0.016711130497782813
|
| 1115 |
-
},
|
| 1116 |
-
"harness|hendrycksTest-nutrition|5": {
|
| 1117 |
-
"acc": 0.6241830065359477,
|
| 1118 |
-
"acc_stderr": 0.027732834353363933,
|
| 1119 |
-
"acc_norm": 0.6241830065359477,
|
| 1120 |
-
"acc_norm_stderr": 0.027732834353363933
|
| 1121 |
-
},
|
| 1122 |
-
"harness|hendrycksTest-philosophy|5": {
|
| 1123 |
-
"acc": 0.6463022508038585,
|
| 1124 |
-
"acc_stderr": 0.027155208103200865,
|
| 1125 |
-
"acc_norm": 0.6463022508038585,
|
| 1126 |
-
"acc_norm_stderr": 0.027155208103200865
|
| 1127 |
-
},
|
| 1128 |
-
"harness|hendrycksTest-prehistory|5": {
|
| 1129 |
-
"acc": 0.6512345679012346,
|
| 1130 |
-
"acc_stderr": 0.026517597724465013,
|
| 1131 |
-
"acc_norm": 0.6512345679012346,
|
| 1132 |
-
"acc_norm_stderr": 0.026517597724465013
|
| 1133 |
-
},
|
| 1134 |
-
"harness|hendrycksTest-professional_accounting|5": {
|
| 1135 |
-
"acc": 0.4148936170212766,
|
| 1136 |
-
"acc_stderr": 0.0293922365846125,
|
| 1137 |
-
"acc_norm": 0.4148936170212766,
|
| 1138 |
-
"acc_norm_stderr": 0.0293922365846125
|
| 1139 |
-
},
|
| 1140 |
-
"harness|hendrycksTest-professional_law|5": {
|
| 1141 |
-
"acc": 0.44654498044328556,
|
| 1142 |
-
"acc_stderr": 0.012697046024399684,
|
| 1143 |
-
"acc_norm": 0.44654498044328556,
|
| 1144 |
-
"acc_norm_stderr": 0.012697046024399684
|
| 1145 |
-
},
|
| 1146 |
-
"harness|hendrycksTest-professional_medicine|5": {
|
| 1147 |
-
"acc": 0.5404411764705882,
|
| 1148 |
-
"acc_stderr": 0.030273325077345755,
|
| 1149 |
-
"acc_norm": 0.5404411764705882,
|
| 1150 |
-
"acc_norm_stderr": 0.030273325077345755
|
| 1151 |
-
},
|
| 1152 |
-
"harness|hendrycksTest-professional_psychology|5": {
|
| 1153 |
-
"acc": 0.5915032679738562,
|
| 1154 |
-
"acc_stderr": 0.01988622103750187,
|
| 1155 |
-
"acc_norm": 0.5915032679738562,
|
| 1156 |
-
"acc_norm_stderr": 0.01988622103750187
|
| 1157 |
-
},
|
| 1158 |
-
"harness|hendrycksTest-public_relations|5": {
|
| 1159 |
-
"acc": 0.6909090909090909,
|
| 1160 |
-
"acc_stderr": 0.044262946482000985,
|
| 1161 |
-
"acc_norm": 0.6909090909090909,
|
| 1162 |
-
"acc_norm_stderr": 0.044262946482000985
|
| 1163 |
-
},
|
| 1164 |
-
"harness|hendrycksTest-security_studies|5": {
|
| 1165 |
-
"acc": 0.6612244897959184,
|
| 1166 |
-
"acc_stderr": 0.030299506562154185,
|
| 1167 |
-
"acc_norm": 0.6612244897959184,
|
| 1168 |
-
"acc_norm_stderr": 0.030299506562154185
|
| 1169 |
-
},
|
| 1170 |
-
"harness|hendrycksTest-sociology|5": {
|
| 1171 |
-
"acc": 0.7313432835820896,
|
| 1172 |
-
"acc_stderr": 0.03134328358208955,
|
| 1173 |
-
"acc_norm": 0.7313432835820896,
|
| 1174 |
-
"acc_norm_stderr": 0.03134328358208955
|
| 1175 |
-
},
|
| 1176 |
-
"harness|hendrycksTest-us_foreign_policy|5": {
|
| 1177 |
-
"acc": 0.84,
|
| 1178 |
-
"acc_stderr": 0.03684529491774707,
|
| 1179 |
-
"acc_norm": 0.84,
|
| 1180 |
-
"acc_norm_stderr": 0.03684529491774707
|
| 1181 |
-
},
|
| 1182 |
-
"harness|hendrycksTest-virology|5": {
|
| 1183 |
-
"acc": 0.46987951807228917,
|
| 1184 |
-
"acc_stderr": 0.03885425420866766,
|
| 1185 |
-
"acc_norm": 0.46987951807228917,
|
| 1186 |
-
"acc_norm_stderr": 0.03885425420866766
|
| 1187 |
-
},
|
| 1188 |
-
"harness|hendrycksTest-world_religions|5": {
|
| 1189 |
-
"acc": 0.7953216374269005,
|
| 1190 |
-
"acc_stderr": 0.03094445977853321,
|
| 1191 |
-
"acc_norm": 0.7953216374269005,
|
| 1192 |
-
"acc_norm_stderr": 0.03094445977853321
|
| 1193 |
-
},
|
| 1194 |
-
"harness|truthfulqa:mc|0": {
|
| 1195 |
-
"mc1": 0.3623011015911873,
|
| 1196 |
-
"mc1_stderr": 0.016826646897262258,
|
| 1197 |
-
"mc2": 0.5227009331210287,
|
| 1198 |
-
"mc2_stderr": 0.015839308789732245
|
| 1199 |
}
|
| 1200 |
}
|
| 1201 |
```
|
|
|
|
| 3 |
dataset_summary: "Dataset automatically created during the evaluation run of model\
|
| 4 |
\ [chargoddard/duplicitous-mammal-13b](https://huggingface.co/chargoddard/duplicitous-mammal-13b)\
|
| 5 |
\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
|
| 6 |
+
\nThe dataset is composed of 64 configuration, each one coresponding to one of the\
|
| 7 |
+
\ evaluated task.\n\nThe dataset has been created from 2 run(s). Each run can be\
|
| 8 |
\ found as a specific split in each configuration, the split being named using the\
|
| 9 |
\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
|
| 10 |
\nAn additional configuration \"results\" store all the aggregated results of the\
|
|
|
|
| 12 |
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
|
| 13 |
\nTo load the details from a run, you can for instance do the following:\n```python\n\
|
| 14 |
from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_chargoddard__duplicitous-mammal-13b\"\
|
| 15 |
+
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
|
| 16 |
+
These are the [latest results from run 2023-10-28T12:16:35.261597](https://huggingface.co/datasets/open-llm-leaderboard/details_chargoddard__duplicitous-mammal-13b/blob/main/results_2023-10-28T12-16-35.261597.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\": 0.011115771812080536,\n\
|
| 20 |
+
\ \"em_stderr\": 0.0010736981082190872,\n \"f1\": 0.09195050335570452,\n\
|
| 21 |
+
\ \"f1_stderr\": 0.0019265640812138418,\n \"acc\": 0.42078498156683963,\n\
|
| 22 |
+
\ \"acc_stderr\": 0.01004075602047218\n },\n \"harness|drop|3\": {\n\
|
| 23 |
+
\ \"em\": 0.011115771812080536,\n \"em_stderr\": 0.0010736981082190872,\n\
|
| 24 |
+
\ \"f1\": 0.09195050335570452,\n \"f1_stderr\": 0.0019265640812138418\n\
|
| 25 |
+
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.09097801364670205,\n \
|
| 26 |
+
\ \"acc_stderr\": 0.00792132284401367\n },\n \"harness|winogrande|5\"\
|
| 27 |
+
: {\n \"acc\": 0.7505919494869772,\n \"acc_stderr\": 0.012160189196930689\n\
|
| 28 |
+
\ }\n}\n```"
|
|
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|
| 29 |
repo_url: https://huggingface.co/chargoddard/duplicitous-mammal-13b
|
| 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_2023-10-08T19-36-16.264447.parquet'
|
| 41 |
+
- config_name: harness_drop_3
|
| 42 |
+
data_files:
|
| 43 |
+
- split: 2023_10_28T12_16_35.261597
|
| 44 |
+
path:
|
| 45 |
+
- '**/details_harness|drop|3_2023-10-28T12-16-35.261597.parquet'
|
| 46 |
+
- split: latest
|
| 47 |
+
path:
|
| 48 |
+
- '**/details_harness|drop|3_2023-10-28T12-16-35.261597.parquet'
|
| 49 |
+
- config_name: harness_gsm8k_5
|
| 50 |
+
data_files:
|
| 51 |
+
- split: 2023_10_28T12_16_35.261597
|
| 52 |
+
path:
|
| 53 |
+
- '**/details_harness|gsm8k|5_2023-10-28T12-16-35.261597.parquet'
|
| 54 |
+
- split: latest
|
| 55 |
+
path:
|
| 56 |
+
- '**/details_harness|gsm8k|5_2023-10-28T12-16-35.261597.parquet'
|
| 57 |
- config_name: harness_hellaswag_10
|
| 58 |
data_files:
|
| 59 |
- split: 2023_10_08T19_36_16.264447
|
|
|
|
| 646 |
- split: latest
|
| 647 |
path:
|
| 648 |
- '**/details_harness|truthfulqa:mc|0_2023-10-08T19-36-16.264447.parquet'
|
| 649 |
+
- config_name: harness_winogrande_5
|
| 650 |
+
data_files:
|
| 651 |
+
- split: 2023_10_28T12_16_35.261597
|
| 652 |
+
path:
|
| 653 |
+
- '**/details_harness|winogrande|5_2023-10-28T12-16-35.261597.parquet'
|
| 654 |
+
- split: latest
|
| 655 |
+
path:
|
| 656 |
+
- '**/details_harness|winogrande|5_2023-10-28T12-16-35.261597.parquet'
|
| 657 |
- config_name: results
|
| 658 |
data_files:
|
| 659 |
- split: 2023_10_08T19_36_16.264447
|
| 660 |
path:
|
| 661 |
- results_2023-10-08T19-36-16.264447.parquet
|
| 662 |
+
- split: 2023_10_28T12_16_35.261597
|
| 663 |
+
path:
|
| 664 |
+
- results_2023-10-28T12-16-35.261597.parquet
|
| 665 |
- split: latest
|
| 666 |
path:
|
| 667 |
+
- results_2023-10-28T12-16-35.261597.parquet
|
| 668 |
---
|
| 669 |
|
| 670 |
# Dataset Card for Evaluation run of chargoddard/duplicitous-mammal-13b
|
|
|
|
| 681 |
|
| 682 |
Dataset automatically created during the evaluation run of model [chargoddard/duplicitous-mammal-13b](https://huggingface.co/chargoddard/duplicitous-mammal-13b) 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_chargoddard__duplicitous-mammal-13b",
|
| 694 |
+
"harness_winogrande_5",
|
| 695 |
split="train")
|
| 696 |
```
|
| 697 |
|
| 698 |
## Latest results
|
| 699 |
|
| 700 |
+
These are the [latest results from run 2023-10-28T12:16:35.261597](https://huggingface.co/datasets/open-llm-leaderboard/details_chargoddard__duplicitous-mammal-13b/blob/main/results_2023-10-28T12-16-35.261597.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": 0.011115771812080536,
|
| 706 |
+
"em_stderr": 0.0010736981082190872,
|
| 707 |
+
"f1": 0.09195050335570452,
|
| 708 |
+
"f1_stderr": 0.0019265640812138418,
|
| 709 |
+
"acc": 0.42078498156683963,
|
| 710 |
+
"acc_stderr": 0.01004075602047218
|
| 711 |
+
},
|
| 712 |
+
"harness|drop|3": {
|
| 713 |
+
"em": 0.011115771812080536,
|
| 714 |
+
"em_stderr": 0.0010736981082190872,
|
| 715 |
+
"f1": 0.09195050335570452,
|
| 716 |
+
"f1_stderr": 0.0019265640812138418
|
| 717 |
+
},
|
| 718 |
+
"harness|gsm8k|5": {
|
| 719 |
+
"acc": 0.09097801364670205,
|
| 720 |
+
"acc_stderr": 0.00792132284401367
|
| 721 |
+
},
|
| 722 |
+
"harness|winogrande|5": {
|
| 723 |
+
"acc": 0.7505919494869772,
|
| 724 |
+
"acc_stderr": 0.012160189196930689
|
|
|
|
|
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| 725 |
}
|
| 726 |
}
|
| 727 |
```
|