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pretty_name: Evaluation run of Deci
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dataset_summary: "Dataset automatically created during the evaluation run of model\
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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 63 configuration, each one coresponding to one of the\
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\ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\
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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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\ run (and is used to compute and display the aggregated metrics on the [Open LLM\
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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_Deci-early-access__DeciLM-7B-early_private\"\
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,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
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These are the [latest results from run 2023-12-11T13:05:55.242370](https://huggingface.co/datasets/open-llm-leaderboard/details_Deci-early-access__DeciLM-7B-early_private/blob/main/results_2023-12-11T13-05-55.242370.json)(note\
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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 \"acc\": 0.5986461662246719,\n\
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\ \"acc_stderr\": 0.03322810922254394,\n \"acc_norm\": 0.6014214623320648,\n\
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\ \"acc_norm_stderr\": 0.03391006890945986,\n \"mc1\": 0.2692778457772338,\n\
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\ \"mc1_stderr\": 0.015528566637087295,\n \"mc2\": 0.4032625331106103,\n\
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\ \"mc2_stderr\": 0.01398363920569579\n },\n \"harness|arc:challenge|25\"\
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: {\n \"acc\": 0.552901023890785,\n \"acc_stderr\": 0.014529380160526843,\n\
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\ \"acc_norm\": 0.5938566552901023,\n \"acc_norm_stderr\": 0.014351656690097862\n\
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\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6262696673969329,\n\
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\ \"acc_stderr\": 0.004828045774734898,\n \"acc_norm\": 0.8251344353714399,\n\
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\ \"acc_norm_stderr\": 0.0037907576465758953\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
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: {\n \"acc\": 0.24,\n \"acc_stderr\": 0.04292346959909283,\n \
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\ \"acc_norm\": 0.24,\n \"acc_norm_stderr\": 0.04292346959909283\n \
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\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.5407407407407407,\n\
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\ \"acc_stderr\": 0.04304979692464242,\n \"acc_norm\": 0.5407407407407407,\n\
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\ \"acc_norm_stderr\": 0.04304979692464242\n },\n \"harness|hendrycksTest-astronomy|5\"\
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: {\n \"acc\": 0.6644736842105263,\n \"acc_stderr\": 0.03842498559395268,\n\
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\ \"acc_norm\": 0.6644736842105263,\n \"acc_norm_stderr\": 0.03842498559395268\n\
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\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.56,\n\
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\ \"acc_stderr\": 0.04988876515698589,\n \"acc_norm\": 0.56,\n \
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-
\ \"acc_norm_stderr\": 0.04988876515698589\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
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: {\n \"acc\": 0.6792452830188679,\n \"acc_stderr\": 0.028727502957880267,\n\
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\ \"acc_norm\": 0.6792452830188679,\n \"acc_norm_stderr\": 0.028727502957880267\n\
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\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6944444444444444,\n\
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\ \"acc_stderr\": 0.03852084696008534,\n \"acc_norm\": 0.6944444444444444,\n\
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| 43 |
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\ \"acc_norm_stderr\": 0.03852084696008534\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
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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-college_computer_science|5\": {\n \"\
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acc\": 0.42,\n \"acc_stderr\": 0.049604496374885836,\n \"acc_norm\"\
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: 0.42,\n \"acc_norm_stderr\": 0.049604496374885836\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
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| 49 |
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: {\n \"acc\": 0.35,\n \"acc_stderr\": 0.0479372485441102,\n \
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| 50 |
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\ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.0479372485441102\n },\n\
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\ \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.630057803468208,\n\
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\ \"acc_stderr\": 0.0368122963339432,\n \"acc_norm\": 0.630057803468208,\n\
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\ \"acc_norm_stderr\": 0.0368122963339432\n },\n \"harness|hendrycksTest-college_physics|5\"\
|
| 54 |
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: {\n \"acc\": 0.43137254901960786,\n \"acc_stderr\": 0.04928099597287533,\n\
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\ \"acc_norm\": 0.43137254901960786,\n \"acc_norm_stderr\": 0.04928099597287533\n\
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\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
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\ 0.72,\n \"acc_stderr\": 0.045126085985421276,\n \"acc_norm\": 0.72,\n\
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| 58 |
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\ \"acc_norm_stderr\": 0.045126085985421276\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
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: {\n \"acc\": 0.5106382978723404,\n \"acc_stderr\": 0.03267862331014063,\n\
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\ \"acc_norm\": 0.5106382978723404,\n \"acc_norm_stderr\": 0.03267862331014063\n\
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\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.40350877192982454,\n\
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\ \"acc_stderr\": 0.046151869625837026,\n \"acc_norm\": 0.40350877192982454,\n\
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\ \"acc_norm_stderr\": 0.046151869625837026\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
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: {\n \"acc\": 0.5448275862068965,\n \"acc_stderr\": 0.04149886942192117,\n\
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\ \"acc_norm\": 0.5448275862068965,\n \"acc_norm_stderr\": 0.04149886942192117\n\
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\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
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: 0.38095238095238093,\n \"acc_stderr\": 0.025010749116137595,\n \"\
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acc_norm\": 0.38095238095238093,\n \"acc_norm_stderr\": 0.025010749116137595\n\
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\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.3412698412698413,\n\
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\ \"acc_stderr\": 0.04240799327574924,\n \"acc_norm\": 0.3412698412698413,\n\
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\ \"acc_norm_stderr\": 0.04240799327574924\n },\n \"harness|hendrycksTest-global_facts|5\"\
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: {\n \"acc\": 0.32,\n \"acc_stderr\": 0.046882617226215034,\n \
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\ \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.046882617226215034\n \
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\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\
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: 0.7225806451612903,\n \"acc_stderr\": 0.025470196835900055,\n \"\
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-
acc_norm\": 0.7225806451612903,\n \"acc_norm_stderr\": 0.025470196835900055\n\
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\ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\
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| 78 |
-
: 0.46798029556650245,\n \"acc_stderr\": 0.035107665979592154,\n \"\
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-
acc_norm\": 0.46798029556650245,\n \"acc_norm_stderr\": 0.035107665979592154\n\
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\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
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\ \"acc\": 0.62,\n \"acc_stderr\": 0.048783173121456316,\n \"acc_norm\"\
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-
: 0.62,\n \"acc_norm_stderr\": 0.048783173121456316\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
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-
: {\n \"acc\": 0.7272727272727273,\n \"acc_stderr\": 0.0347769116216366,\n\
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\ \"acc_norm\": 0.7272727272727273,\n \"acc_norm_stderr\": 0.0347769116216366\n\
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\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
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: 0.7474747474747475,\n \"acc_stderr\": 0.030954055470365897,\n \"\
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-
acc_norm\": 0.7474747474747475,\n \"acc_norm_stderr\": 0.030954055470365897\n\
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-
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
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-
\ \"acc\": 0.8393782383419689,\n \"acc_stderr\": 0.02649905770139746,\n\
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\ \"acc_norm\": 0.8393782383419689,\n \"acc_norm_stderr\": 0.02649905770139746\n\
|
| 91 |
-
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
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\ \"acc\": 0.5794871794871795,\n \"acc_stderr\": 0.025028610276710855,\n\
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-
\ \"acc_norm\": 0.5794871794871795,\n \"acc_norm_stderr\": 0.025028610276710855\n\
|
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-
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
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-
acc\": 0.3888888888888889,\n \"acc_stderr\": 0.029723278961476668,\n \
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\ \"acc_norm\": 0.3888888888888889,\n \"acc_norm_stderr\": 0.029723278961476668\n\
|
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-
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
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\ \"acc\": 0.6260504201680672,\n \"acc_stderr\": 0.03142946637883708,\n \
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\ \"acc_norm\": 0.6260504201680672,\n \"acc_norm_stderr\": 0.03142946637883708\n\
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\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
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| 101 |
-
: 0.3841059602649007,\n \"acc_stderr\": 0.03971301814719197,\n \"\
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| 102 |
-
acc_norm\": 0.3841059602649007,\n \"acc_norm_stderr\": 0.03971301814719197\n\
|
| 103 |
-
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
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| 104 |
-
: 0.7871559633027523,\n \"acc_stderr\": 0.017549376389313694,\n \"\
|
| 105 |
-
acc_norm\": 0.7871559633027523,\n \"acc_norm_stderr\": 0.017549376389313694\n\
|
| 106 |
-
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
|
| 107 |
-
: 0.47685185185185186,\n \"acc_stderr\": 0.03406315360711507,\n \"\
|
| 108 |
-
acc_norm\": 0.47685185185185186,\n \"acc_norm_stderr\": 0.03406315360711507\n\
|
| 109 |
-
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
|
| 110 |
-
: 0.7598039215686274,\n \"acc_stderr\": 0.02998373305591362,\n \"\
|
| 111 |
-
acc_norm\": 0.7598039215686274,\n \"acc_norm_stderr\": 0.02998373305591362\n\
|
| 112 |
-
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
|
| 113 |
-
acc\": 0.7805907172995781,\n \"acc_stderr\": 0.026939106581553945,\n \
|
| 114 |
-
\ \"acc_norm\": 0.7805907172995781,\n \"acc_norm_stderr\": 0.026939106581553945\n\
|
| 115 |
-
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6681614349775785,\n\
|
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\ \"acc_stderr\": 0.03160295143776679,\n \"acc_norm\": 0.6681614349775785,\n\
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| 117 |
-
\ \"acc_norm_stderr\": 0.03160295143776679\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
|
| 118 |
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: {\n \"acc\": 0.6946564885496184,\n \"acc_stderr\": 0.040393149787245605,\n\
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\ \"acc_norm\": 0.6946564885496184,\n \"acc_norm_stderr\": 0.040393149787245605\n\
|
| 120 |
-
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
|
| 121 |
-
\ 0.768595041322314,\n \"acc_stderr\": 0.03849856098794088,\n \"acc_norm\"\
|
| 122 |
-
: 0.768595041322314,\n \"acc_norm_stderr\": 0.03849856098794088\n },\n\
|
| 123 |
-
\ \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7129629629629629,\n\
|
| 124 |
-
\ \"acc_stderr\": 0.043733130409147614,\n \"acc_norm\": 0.7129629629629629,\n\
|
| 125 |
-
\ \"acc_norm_stderr\": 0.043733130409147614\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
|
| 126 |
-
: {\n \"acc\": 0.6871165644171779,\n \"acc_stderr\": 0.036429145782924055,\n\
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| 127 |
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\ \"acc_norm\": 0.6871165644171779,\n \"acc_norm_stderr\": 0.036429145782924055\n\
|
| 128 |
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\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.4642857142857143,\n\
|
| 129 |
-
\ \"acc_stderr\": 0.04733667890053756,\n \"acc_norm\": 0.4642857142857143,\n\
|
| 130 |
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\ \"acc_norm_stderr\": 0.04733667890053756\n },\n \"harness|hendrycksTest-management|5\"\
|
| 131 |
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: {\n \"acc\": 0.7475728155339806,\n \"acc_stderr\": 0.04301250399690878,\n\
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\ \"acc_norm\": 0.7475728155339806,\n \"acc_norm_stderr\": 0.04301250399690878\n\
|
| 133 |
-
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8461538461538461,\n\
|
| 134 |
-
\ \"acc_stderr\": 0.02363687331748927,\n \"acc_norm\": 0.8461538461538461,\n\
|
| 135 |
-
\ \"acc_norm_stderr\": 0.02363687331748927\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
|
| 136 |
-
: {\n \"acc\": 0.63,\n \"acc_stderr\": 0.04852365870939099,\n \
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| 137 |
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\ \"acc_norm\": 0.63,\n \"acc_norm_stderr\": 0.04852365870939099\n \
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| 138 |
-
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.7879948914431673,\n\
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| 139 |
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\ \"acc_stderr\": 0.01461609938583368,\n \"acc_norm\": 0.7879948914431673,\n\
|
| 140 |
-
\ \"acc_norm_stderr\": 0.01461609938583368\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
|
| 141 |
-
: {\n \"acc\": 0.6705202312138728,\n \"acc_stderr\": 0.025305258131879695,\n\
|
| 142 |
-
\ \"acc_norm\": 0.6705202312138728,\n \"acc_norm_stderr\": 0.025305258131879695\n\
|
| 143 |
-
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.2424581005586592,\n\
|
| 144 |
-
\ \"acc_stderr\": 0.01433352205921789,\n \"acc_norm\": 0.2424581005586592,\n\
|
| 145 |
-
\ \"acc_norm_stderr\": 0.01433352205921789\n },\n \"harness|hendrycksTest-nutrition|5\"\
|
| 146 |
-
: {\n \"acc\": 0.696078431372549,\n \"acc_stderr\": 0.02633661346904663,\n\
|
| 147 |
-
\ \"acc_norm\": 0.696078431372549,\n \"acc_norm_stderr\": 0.02633661346904663\n\
|
| 148 |
-
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6688102893890675,\n\
|
| 149 |
-
\ \"acc_stderr\": 0.02673062072800491,\n \"acc_norm\": 0.6688102893890675,\n\
|
| 150 |
-
\ \"acc_norm_stderr\": 0.02673062072800491\n },\n \"harness|hendrycksTest-prehistory|5\"\
|
| 151 |
-
: {\n \"acc\": 0.6728395061728395,\n \"acc_stderr\": 0.026105673861409825,\n\
|
| 152 |
-
\ \"acc_norm\": 0.6728395061728395,\n \"acc_norm_stderr\": 0.026105673861409825\n\
|
| 153 |
-
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
|
| 154 |
-
acc\": 0.4645390070921986,\n \"acc_stderr\": 0.029752389657427047,\n \
|
| 155 |
-
\ \"acc_norm\": 0.4645390070921986,\n \"acc_norm_stderr\": 0.029752389657427047\n\
|
| 156 |
-
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4276401564537158,\n\
|
| 157 |
-
\ \"acc_stderr\": 0.012635799922765846,\n \"acc_norm\": 0.4276401564537158,\n\
|
| 158 |
-
\ \"acc_norm_stderr\": 0.012635799922765846\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
|
| 159 |
-
: {\n \"acc\": 0.6139705882352942,\n \"acc_stderr\": 0.029573269134411124,\n\
|
| 160 |
-
\ \"acc_norm\": 0.6139705882352942,\n \"acc_norm_stderr\": 0.029573269134411124\n\
|
| 161 |
-
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
|
| 162 |
-
acc\": 0.5915032679738562,\n \"acc_stderr\": 0.01988622103750187,\n \
|
| 163 |
-
\ \"acc_norm\": 0.5915032679738562,\n \"acc_norm_stderr\": 0.01988622103750187\n\
|
| 164 |
-
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6454545454545455,\n\
|
| 165 |
-
\ \"acc_stderr\": 0.045820048415054174,\n \"acc_norm\": 0.6454545454545455,\n\
|
| 166 |
-
\ \"acc_norm_stderr\": 0.045820048415054174\n },\n \"harness|hendrycksTest-security_studies|5\"\
|
| 167 |
-
: {\n \"acc\": 0.7183673469387755,\n \"acc_stderr\": 0.02879518557429129,\n\
|
| 168 |
-
\ \"acc_norm\": 0.7183673469387755,\n \"acc_norm_stderr\": 0.02879518557429129\n\
|
| 169 |
-
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8208955223880597,\n\
|
| 170 |
-
\ \"acc_stderr\": 0.027113286753111837,\n \"acc_norm\": 0.8208955223880597,\n\
|
| 171 |
-
\ \"acc_norm_stderr\": 0.027113286753111837\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
|
| 172 |
-
: {\n \"acc\": 0.77,\n \"acc_stderr\": 0.04229525846816506,\n \
|
| 173 |
-
\ \"acc_norm\": 0.77,\n \"acc_norm_stderr\": 0.04229525846816506\n \
|
| 174 |
-
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.4939759036144578,\n\
|
| 175 |
-
\ \"acc_stderr\": 0.03892212195333045,\n \"acc_norm\": 0.4939759036144578,\n\
|
| 176 |
-
\ \"acc_norm_stderr\": 0.03892212195333045\n },\n \"harness|hendrycksTest-world_religions|5\"\
|
| 177 |
-
: {\n \"acc\": 0.8011695906432749,\n \"acc_stderr\": 0.030611116557432528,\n\
|
| 178 |
-
\ \"acc_norm\": 0.8011695906432749,\n \"acc_norm_stderr\": 0.030611116557432528\n\
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| 179 |
-
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.2692778457772338,\n\
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\ \"mc1_stderr\": 0.015528566637087295,\n \"mc2\": 0.4032625331106103,\n\
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\ \"mc2_stderr\": 0.01398363920569579\n },\n \"harness|winogrande|5\"\
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: {\n \"acc\": 0.7995264404104183,\n \"acc_stderr\": 0.011251958281205083\n\
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\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.47384382107657314,\n \
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\ \"acc_stderr\": 0.013753627037255045\n }\n}\n```"
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| 185 |
-
repo_url: https://huggingface.co/Deci-early-access/DeciLM-7B-early
|
| 186 |
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
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point_of_contact: clementine@hf.co
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configs:
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- config_name: harness_hendrycksTest_abstract_algebra_5
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data_files:
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- config_name: harness_hendrycksTest_college_mathematics_5
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path:
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data_files:
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path:
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data_files:
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path:
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data_files:
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path:
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path:
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- config_name: harness_hendrycksTest_high_school_european_history_5
|
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data_files:
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path:
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- config_name: harness_hendrycksTest_high_school_geography_5
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data_files:
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- config_name: harness_hendrycksTest_high_school_government_and_politics_5
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data_files:
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path:
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path:
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- config_name: harness_hendrycksTest_high_school_macroeconomics_5
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data_files:
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- split: 2023_12_11T13_05_55.242370
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path:
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- config_name: harness_hendrycksTest_high_school_mathematics_5
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data_files:
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- split: 2023_12_11T13_05_55.242370
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path:
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- config_name: harness_hendrycksTest_high_school_microeconomics_5
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data_files:
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- split: 2023_12_11T13_05_55.242370
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path:
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path:
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- config_name: harness_hendrycksTest_high_school_physics_5
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data_files:
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path:
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- config_name: harness_hendrycksTest_high_school_psychology_5
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data_files:
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- split: 2023_12_11T13_05_55.242370
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path:
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path:
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- config_name: harness_hendrycksTest_high_school_statistics_5
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data_files:
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- config_name: harness_hendrycksTest_high_school_us_history_5
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data_files:
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path:
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- config_name: harness_hendrycksTest_high_school_world_history_5
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data_files:
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- config_name: harness_hendrycksTest_human_aging_5
|
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data_files:
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|
@@ -812,19 +859,19 @@ configs:
|
|
| 812 |
- results_2023-12-11T13-05-55.242370.parquet
|
| 813 |
---
|
| 814 |
|
| 815 |
-
# Dataset Card for Evaluation run of Deci
|
| 816 |
|
| 817 |
## Dataset Description
|
| 818 |
|
| 819 |
- **Homepage:**
|
| 820 |
-
- **Repository:** https://huggingface.co/Deci
|
| 821 |
- **Paper:**
|
| 822 |
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
|
| 823 |
- **Point of Contact:** clementine@hf.co
|
| 824 |
|
| 825 |
### Dataset Summary
|
| 826 |
|
| 827 |
-
Dataset automatically created during the evaluation run of model [Deci
|
| 828 |
|
| 829 |
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
|
| 830 |
|
|
@@ -835,14 +882,14 @@ An additional configuration "results" store all the aggregated results of the ru
|
|
| 835 |
To load the details from a run, you can for instance do the following:
|
| 836 |
```python
|
| 837 |
from datasets import load_dataset
|
| 838 |
-
data = load_dataset("open-llm-leaderboard/details_Deci-
|
| 839 |
"harness_winogrande_5",
|
| 840 |
split="train")
|
| 841 |
```
|
| 842 |
|
| 843 |
## Latest results
|
| 844 |
|
| 845 |
-
These are the [latest results from run 2023-12-11T13:05:55.242370](https://huggingface.co/datasets/open-llm-leaderboard/
|
| 846 |
|
| 847 |
```python
|
| 848 |
{
|
|
|
|
| 1 |
---
|
| 2 |
+
pretty_name: Evaluation run of Deci/DeciLM-7B
|
| 3 |
+
dataset_summary: "Dataset automatically created during the evaluation run of model [Deci/DeciLM-7B](https://huggingface.co/Deci/DeciLM-7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 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.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\nTo load the details from a run, you can for instance do the following:\n```python\nfrom datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_Deci-early-access__DeciLM-7B-early_private\",\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\nThese are the [latest results from run 2023-12-11T13:05:55.242370](https://huggingface.co/datasets/open-llm-leaderboard/details_Deci-early-access__DeciLM-7B-early_private/blob/main/results_2023-12-11T13-05-55.242370.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):\n\n```python\n{\n \"all\": {\n \"acc\": 0.5986461662246719,\n \"acc_stderr\": 0.03322810922254394,\n \"acc_norm\": 0.6014214623320648,\n \"acc_norm_stderr\": 0.03391006890945986,\n \"mc1\": 0.2692778457772338,\n \"mc1_stderr\": 0.015528566637087295,\n \"mc2\": 0.4032625331106103,\n \"mc2_stderr\": 0.01398363920569579\n },\n \"harness|arc:challenge|25\": {\n \"acc\": 0.552901023890785,\n \"acc_stderr\": 0.014529380160526843,\n \"acc_norm\": 0.5938566552901023,\n \"acc_norm_stderr\": 0.014351656690097862\n },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6262696673969329,\n \"acc_stderr\": 0.004828045774734898,\n \"acc_norm\": 0.8251344353714399,\n \"acc_norm_stderr\": 0.0037907576465758953\n },\n \"harness|hendrycksTest-abstract_algebra|5\": {\n \"acc\": 0.24,\n \"acc_stderr\": 0.04292346959909283,\n \"acc_norm\": 0.24,\n \"acc_norm_stderr\": 0.04292346959909283\n },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.5407407407407407,\n \"acc_stderr\": 0.04304979692464242,\n \"acc_norm\": 0.5407407407407407,\n \"acc_norm_stderr\": 0.04304979692464242\n },\n \"harness|hendrycksTest-astronomy|5\": {\n \"acc\": 0.6644736842105263,\n \"acc_stderr\": 0.03842498559395268,\n \"acc_norm\": 0.6644736842105263,\n \"acc_norm_stderr\": 0.03842498559395268\n },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.56,\n \"acc_stderr\": 0.04988876515698589,\n \"acc_norm\": 0.56,\n \"acc_norm_stderr\": 0.04988876515698589\n },\n \"harness|hendrycksTest-clinical_knowledge|5\": {\n \"acc\": 0.6792452830188679,\n \"acc_stderr\": 0.028727502957880267,\n \"acc_norm\": 0.6792452830188679,\n \"acc_norm_stderr\": 0.028727502957880267\n },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6944444444444444,\n \"acc_stderr\": 0.03852084696008534,\n \"acc_norm\": 0.6944444444444444,\n \"acc_norm_stderr\": 0.03852084696008534\n },\n \"harness|hendrycksTest-college_chemistry|5\": {\n \"acc\": 0.42,\n \"acc_stderr\": 0.049604496374885836,\n \"acc_norm\": 0.42,\n \"acc_norm_stderr\": 0.049604496374885836\n },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\": 0.42,\n \"acc_stderr\": 0.049604496374885836,\n \"acc_norm\": 0.42,\n \"acc_norm_stderr\": 0.049604496374885836\n },\n \"harness|hendrycksTest-college_mathematics|5\": {\n \"acc\": 0.35,\n \"acc_stderr\": 0.0479372485441102,\n \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.0479372485441102\n },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.630057803468208,\n \"acc_stderr\": 0.0368122963339432,\n \"acc_norm\": 0.630057803468208,\n \"acc_norm_stderr\": 0.0368122963339432\n },\n \"harness|hendrycksTest-college_physics|5\": {\n \"acc\": 0.43137254901960786,\n \"acc_stderr\": 0.04928099597287533,\n \"acc_norm\": 0.43137254901960786,\n \"acc_norm_stderr\": 0.04928099597287533\n },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\": 0.72,\n \"acc_stderr\": 0.045126085985421276,\n \"acc_norm\": 0.72,\n \"acc_norm_stderr\": 0.045126085985421276\n },\n \"harness|hendrycksTest-conceptual_physics|5\": {\n \"acc\": 0.5106382978723404,\n \"acc_stderr\": 0.03267862331014063,\n \"acc_norm\": 0.5106382978723404,\n \"acc_norm_stderr\": 0.03267862331014063\n },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.40350877192982454,\n \"acc_stderr\": 0.046151869625837026,\n \"acc_norm\": 0.40350877192982454,\n \"acc_norm_stderr\": 0.046151869625837026\n },\n \"harness|hendrycksTest-electrical_engineering|5\": {\n \"acc\": 0.5448275862068965,\n \"acc_stderr\": 0.04149886942192117,\n \"acc_norm\": 0.5448275862068965,\n \"acc_norm_stderr\": 0.04149886942192117\n },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\": 0.38095238095238093,\n \"acc_stderr\": 0.025010749116137595,\n \"acc_norm\": 0.38095238095238093,\n \"acc_norm_stderr\": 0.025010749116137595\n },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.3412698412698413,\n \"acc_stderr\": 0.04240799327574924,\n \"acc_norm\": 0.3412698412698413,\n \"acc_norm_stderr\": 0.04240799327574924\n },\n \"harness|hendrycksTest-global_facts|5\": {\n \"acc\": 0.32,\n \"acc_stderr\": 0.046882617226215034,\n \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.046882617226215034\n },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.7225806451612903,\n \"acc_stderr\": 0.025470196835900055,\n \"acc_norm\": 0.7225806451612903,\n \"acc_norm_stderr\": 0.025470196835900055\n },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\": 0.46798029556650245,\n \"acc_stderr\": 0.035107665979592154,\n \"acc_norm\": 0.46798029556650245,\n \"acc_norm_stderr\": 0.035107665979592154\n },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \"acc\": 0.62,\n \"acc_stderr\": 0.048783173121456316,\n \"acc_norm\": 0.62,\n \"acc_norm_stderr\": 0.048783173121456316\n },\n \"harness|hendrycksTest-high_school_european_history|5\": {\n \"acc\": 0.7272727272727273,\n \"acc_stderr\": 0.0347769116216366,\n \"acc_norm\": 0.7272727272727273,\n \"acc_norm_stderr\": 0.0347769116216366\n },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\": 0.7474747474747475,\n \"acc_stderr\": 0.030954055470365897,\n \"acc_norm\": 0.7474747474747475,\n \"acc_norm_stderr\": 0.030954055470365897\n },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n \"acc\": 0.8393782383419689,\n \"acc_stderr\": 0.02649905770139746,\n \"acc_norm\": 0.8393782383419689,\n \"acc_norm_stderr\": 0.02649905770139746\n },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \"acc\": 0.5794871794871795,\n \"acc_stderr\": 0.025028610276710855,\n \"acc_norm\": 0.5794871794871795,\n \"acc_norm_stderr\": 0.025028610276710855\n },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"acc\": 0.3888888888888889,\n \"acc_stderr\": 0.029723278961476668,\n \"acc_norm\": 0.3888888888888889,\n \"acc_norm_stderr\": 0.029723278961476668\n },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \"acc\": 0.6260504201680672,\n \"acc_stderr\": 0.03142946637883708,\n \"acc_norm\": 0.6260504201680672,\n \"acc_norm_stderr\": 0.03142946637883708\n },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\": 0.3841059602649007,\n \"acc_stderr\": 0.03971301814719197,\n \"acc_norm\": 0.3841059602649007,\n \"acc_norm_stderr\": 0.03971301814719197\n },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\": 0.7871559633027523,\n \"acc_stderr\": 0.017549376389313694,\n \"acc_norm\": 0.7871559633027523,\n \"acc_norm_stderr\": 0.017549376389313694\n },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\": 0.47685185185185186,\n \"acc_stderr\": 0.03406315360711507,\n \"acc_norm\": 0.47685185185185186,\n \"acc_norm_stderr\": 0.03406315360711507\n },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\": 0.7598039215686274,\n \"acc_stderr\": 0.02998373305591362,\n \"acc_norm\": 0.7598039215686274,\n \"acc_norm_stderr\": 0.02998373305591362\n },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"acc\": 0.7805907172995781,\n \"acc_stderr\": 0.026939106581553945,\n \"acc_norm\": 0.7805907172995781,\n \"acc_norm_stderr\": 0.026939106581553945\n },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6681614349775785,\n \"acc_stderr\": 0.03160295143776679,\n \"acc_norm\": 0.6681614349775785,\n \"acc_norm_stderr\": 0.03160295143776679\n },\n \"harness|hendrycksTest-human_sexuality|5\": {\n \"acc\": 0.6946564885496184,\n \"acc_stderr\": 0.040393149787245605,\n \"acc_norm\": 0.6946564885496184,\n \"acc_norm_stderr\": 0.040393149787245605\n },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\": 0.768595041322314,\n \"acc_stderr\": 0.03849856098794088,\n \"acc_norm\": 0.768595041322314,\n \"acc_norm_stderr\": 0.03849856098794088\n },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7129629629629629,\n \"acc_stderr\": 0.043733130409147614,\n \"acc_norm\": 0.7129629629629629,\n \"acc_norm_stderr\": 0.043733130409147614\n },\n \"harness|hendrycksTest-logical_fallacies|5\": {\n \"acc\": 0.6871165644171779,\n \"acc_stderr\": 0.036429145782924055,\n \"acc_norm\": 0.6871165644171779,\n \"acc_norm_stderr\": 0.036429145782924055\n },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.4642857142857143,\n \"acc_stderr\": 0.04733667890053756,\n \"acc_norm\": 0.4642857142857143,\n \"acc_norm_stderr\": 0.04733667890053756\n },\n \"harness|hendrycksTest-management|5\": {\n \"acc\": 0.7475728155339806,\n \"acc_stderr\": 0.04301250399690878,\n \"acc_norm\": 0.7475728155339806,\n \"acc_norm_stderr\": 0.04301250399690878\n },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8461538461538461,\n \"acc_stderr\": 0.02363687331748927,\n \"acc_norm\": 0.8461538461538461,\n \"acc_norm_stderr\": 0.02363687331748927\n },\n \"harness|hendrycksTest-medical_genetics|5\": {\n \"acc\": 0.63,\n \"acc_stderr\": 0.04852365870939099,\n \"acc_norm\": 0.63,\n \"acc_norm_stderr\": 0.04852365870939099\n },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.7879948914431673,\n \"acc_stderr\": 0.01461609938583368,\n \"acc_norm\": 0.7879948914431673,\n \"acc_norm_stderr\": 0.01461609938583368\n },\n \"harness|hendrycksTest-moral_disputes|5\": {\n \"acc\": 0.6705202312138728,\n \"acc_stderr\": 0.025305258131879695,\n \"acc_norm\": 0.6705202312138728,\n \"acc_norm_stderr\": 0.025305258131879695\n },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.2424581005586592,\n \"acc_stderr\": 0.01433352205921789,\n \"acc_norm\": 0.2424581005586592,\n \"acc_norm_stderr\": 0.01433352205921789\n },\n \"harness|hendrycksTest-nutrition|5\": {\n \"acc\": 0.696078431372549,\n \"acc_stderr\": 0.02633661346904663,\n \"acc_norm\": 0.696078431372549,\n \"acc_norm_stderr\": 0.02633661346904663\n },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6688102893890675,\n \"acc_stderr\": 0.02673062072800491,\n \"acc_norm\": 0.6688102893890675,\n \"acc_norm_stderr\": 0.02673062072800491\n },\n \"harness|hendrycksTest-prehistory|5\": {\n \"acc\": 0.6728395061728395,\n \"acc_stderr\": 0.026105673861409825,\n \"acc_norm\": 0.6728395061728395,\n \"acc_norm_stderr\": 0.026105673861409825\n },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"acc\": 0.4645390070921986,\n \"acc_stderr\": 0.029752389657427047,\n \"acc_norm\": 0.4645390070921986,\n \"acc_norm_stderr\": 0.029752389657427047\n },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4276401564537158,\n \"acc_stderr\": 0.012635799922765846,\n \"acc_norm\": 0.4276401564537158,\n \"acc_norm_stderr\": 0.012635799922765846\n },\n \"harness|hendrycksTest-professional_medicine|5\": {\n \"acc\": 0.6139705882352942,\n \"acc_stderr\": 0.029573269134411124,\n \"acc_norm\": 0.6139705882352942,\n \"acc_norm_stderr\": 0.029573269134411124\n },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"acc\": 0.5915032679738562,\n \"acc_stderr\": 0.01988622103750187,\n \"acc_norm\": 0.5915032679738562,\n \"acc_norm_stderr\": 0.01988622103750187\n },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6454545454545455,\n \"acc_stderr\": 0.045820048415054174,\n \"acc_norm\": 0.6454545454545455,\n \"acc_norm_stderr\": 0.045820048415054174\n },\n \"harness|hendrycksTest-security_studies|5\": {\n \"acc\": 0.7183673469387755,\n \"acc_stderr\": 0.02879518557429129,\n \"acc_norm\": 0.7183673469387755,\n \"acc_norm_stderr\": 0.02879518557429129\n },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8208955223880597,\n \"acc_stderr\": 0.027113286753111837,\n \"acc_norm\": 0.8208955223880597,\n \"acc_norm_stderr\": 0.027113286753111837\n },\n \"harness|hendrycksTest-us_foreign_policy|5\": {\n \"acc\": 0.77,\n \"acc_stderr\": 0.04229525846816506,\n \"acc_norm\": 0.77,\n \"acc_norm_stderr\": 0.04229525846816506\n },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.4939759036144578,\n \"acc_stderr\": 0.03892212195333045,\n \"acc_norm\": 0.4939759036144578,\n \"acc_norm_stderr\": 0.03892212195333045\n },\n \"harness|hendrycksTest-world_religions|5\": {\n \"acc\": 0.8011695906432749,\n \"acc_stderr\": 0.030611116557432528,\n \"acc_norm\": 0.8011695906432749,\n \"acc_norm_stderr\": 0.030611116557432528\n },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.2692778457772338,\n \"mc1_stderr\": 0.015528566637087295,\n \"mc2\": 0.4032625331106103,\n \"mc2_stderr\": 0.01398363920569579\n },\n \"harness|winogrande|5\": {\n \"acc\": 0.7995264404104183,\n \"acc_stderr\": 0.011251958281205083\n },\n \"harness|gsm8k|5\": {\n \"acc\": 0.47384382107657314,\n \"acc_stderr\": 0.013753627037255045\n }\n}\n```"
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| 4 |
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repo_url: https://huggingface.co/Deci/DeciLM-7B
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| 5 |
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
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| 6 |
point_of_contact: clementine@hf.co
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| 7 |
configs:
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| 33 |
data_files:
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| 34 |
- split: 2023_12_11T13_05_55.242370
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| 35 |
path:
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**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-11T13-05-55.242370.parquet
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**/details_harness|hendrycksTest-professional_accounting|5_2023-12-11T13-05-55.242370.parquet
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- split: latest
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path:
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**/details_harness|hendrycksTest-professional_accounting|5_2023-12-11T13-05-55.242370.parquet
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- config_name: harness_hendrycksTest_professional_law_5
|
| 747 |
data_files:
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- split: 2023_12_11T13_05_55.242370
|
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path:
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**/details_harness|hendrycksTest-professional_law|5_2023-12-11T13-05-55.242370.parquet
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- split: latest
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path:
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**/details_harness|hendrycksTest-professional_law|5_2023-12-11T13-05-55.242370.parquet
|
| 756 |
- config_name: harness_hendrycksTest_professional_medicine_5
|
| 757 |
data_files:
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| 758 |
- split: 2023_12_11T13_05_55.242370
|
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path:
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**/details_harness|hendrycksTest-professional_medicine|5_2023-12-11T13-05-55.242370.parquet
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- split: latest
|
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path:
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|
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**/details_harness|hendrycksTest-professional_medicine|5_2023-12-11T13-05-55.242370.parquet
|
| 766 |
- config_name: harness_hendrycksTest_professional_psychology_5
|
| 767 |
data_files:
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| 768 |
- split: 2023_12_11T13_05_55.242370
|
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path:
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**/details_harness|hendrycksTest-professional_psychology|5_2023-12-11T13-05-55.242370.parquet
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- split: latest
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path:
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**/details_harness|hendrycksTest-professional_psychology|5_2023-12-11T13-05-55.242370.parquet
|
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- config_name: harness_hendrycksTest_public_relations_5
|
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data_files:
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- split: 2023_12_11T13_05_55.242370
|
| 779 |
path:
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**/details_harness|hendrycksTest-public_relations|5_2023-12-11T13-05-55.242370.parquet
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- split: latest
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path:
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**/details_harness|hendrycksTest-public_relations|5_2023-12-11T13-05-55.242370.parquet
|
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- config_name: harness_hendrycksTest_security_studies_5
|
| 787 |
data_files:
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- split: 2023_12_11T13_05_55.242370
|
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path:
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**/details_harness|hendrycksTest-security_studies|5_2023-12-11T13-05-55.242370.parquet
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- split: latest
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path:
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**/details_harness|hendrycksTest-security_studies|5_2023-12-11T13-05-55.242370.parquet
|
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- config_name: harness_hendrycksTest_sociology_5
|
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data_files:
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- split: 2023_12_11T13_05_55.242370
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path:
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**/details_harness|hendrycksTest-sociology|5_2023-12-11T13-05-55.242370.parquet
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- split: latest
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path:
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**/details_harness|hendrycksTest-sociology|5_2023-12-11T13-05-55.242370.parquet
|
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- config_name: harness_hendrycksTest_us_foreign_policy_5
|
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data_files:
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**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-11T13-05-55.242370.parquet
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**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-11T13-05-55.242370.parquet
|
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- config_name: harness_hendrycksTest_virology_5
|
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data_files:
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path:
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**/details_harness|hendrycksTest-virology|5_2023-12-11T13-05-55.242370.parquet
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path:
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**/details_harness|hendrycksTest-virology|5_2023-12-11T13-05-55.242370.parquet
|
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- config_name: harness_hendrycksTest_world_religions_5
|
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data_files:
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- split: 2023_12_11T13_05_55.242370
|
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path:
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**/details_harness|hendrycksTest-world_religions|5_2023-12-11T13-05-55.242370.parquet
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- split: latest
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path:
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**/details_harness|hendrycksTest-world_religions|5_2023-12-11T13-05-55.242370.parquet
|
| 836 |
- config_name: harness_truthfulqa_mc_0
|
| 837 |
data_files:
|
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- split: 2023_12_11T13_05_55.242370
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|
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|
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- results_2023-12-11T13-05-55.242370.parquet
|
| 860 |
---
|
| 861 |
|
| 862 |
+
# Dataset Card for Evaluation run of Deci/DeciLM-7B
|
| 863 |
|
| 864 |
## Dataset Description
|
| 865 |
|
| 866 |
- **Homepage:**
|
| 867 |
+
- **Repository:** https://huggingface.co/Deci/DeciLM-7B
|
| 868 |
- **Paper:**
|
| 869 |
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
|
| 870 |
- **Point of Contact:** clementine@hf.co
|
| 871 |
|
| 872 |
### Dataset Summary
|
| 873 |
|
| 874 |
+
Dataset automatically created during the evaluation run of model [Deci/DeciLM-7B](https://huggingface.co/Deci/DeciLM-7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
|
| 875 |
|
| 876 |
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
|
| 877 |
|
|
|
|
| 882 |
To load the details from a run, you can for instance do the following:
|
| 883 |
```python
|
| 884 |
from datasets import load_dataset
|
| 885 |
+
data = load_dataset("open-llm-leaderboard/details_Deci/DeciLM-7B",
|
| 886 |
"harness_winogrande_5",
|
| 887 |
split="train")
|
| 888 |
```
|
| 889 |
|
| 890 |
## Latest results
|
| 891 |
|
| 892 |
+
These are the [latest results from run 2023-12-11T13:05:55.242370](https://huggingface.co/datasets/open-llm-leaderboard/details_Deci__DeciLM-7B/blob/main/results_2023-12-11T13-05-55.242370.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):
|
| 893 |
|
| 894 |
```python
|
| 895 |
{
|