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README.md
CHANGED
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@@ -3,8 +3,8 @@ pretty_name: Evaluation run of Undi95/ReMM-v2.2-L2-13B
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dataset_summary: "Dataset automatically created during the evaluation run of model\
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\ [Undi95/ReMM-v2.2-L2-13B](https://huggingface.co/Undi95/ReMM-v2.2-L2-13B) on the\
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\ [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
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\nThe dataset is composed of
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\ evaluated task.\n\nThe dataset has been created from
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\ found as a specific split in each configuration, the split being named using the\
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\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
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\nAn additional configuration \"results\" store all the aggregated results of the\
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@@ -12,172 +12,20 @@ dataset_summary: "Dataset automatically created during the evaluation run of mod
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\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
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\nTo load the details from a run, you can for instance do the following:\n```python\n\
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from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_Undi95__ReMM-v2.2-L2-13B\"\
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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\": 0.04852365870939099,\n \
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\ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.04852365870939099\n \
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\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.5111111111111111,\n\
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\ \"acc_stderr\": 0.04318275491977976,\n \"acc_norm\": 0.5111111111111111,\n\
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\ \"acc_norm_stderr\": 0.04318275491977976\n },\n \"harness|hendrycksTest-astronomy|5\"\
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: {\n \"acc\": 0.5328947368421053,\n \"acc_stderr\": 0.040601270352363966,\n\
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\ \"acc_norm\": 0.5328947368421053,\n \"acc_norm_stderr\": 0.040601270352363966\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\": 0.5924528301886792,\n \"acc_stderr\": 0.030242233800854494,\n\
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\ \"acc_norm\": 0.5924528301886792,\n \"acc_norm_stderr\": 0.030242233800854494\n\
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\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6041666666666666,\n\
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\ \"acc_stderr\": 0.04089465449325582,\n \"acc_norm\": 0.6041666666666666,\n\
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\ \"acc_norm_stderr\": 0.04089465449325582\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
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: {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \
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\ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \
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\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
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: 0.44,\n \"acc_stderr\": 0.04988876515698589,\n \"acc_norm\": 0.44,\n\
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\ \"acc_norm_stderr\": 0.04988876515698589\n },\n \"harness|hendrycksTest-college_mathematics|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_medicine|5\": {\n \"acc\": 0.5317919075144508,\n\
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\ \"acc_stderr\": 0.03804749744364764,\n \"acc_norm\": 0.5317919075144508,\n\
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\ \"acc_norm_stderr\": 0.03804749744364764\n },\n \"harness|hendrycksTest-college_physics|5\"\
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: {\n \"acc\": 0.24509803921568626,\n \"acc_stderr\": 0.04280105837364397,\n\
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\ \"acc_norm\": 0.24509803921568626,\n \"acc_norm_stderr\": 0.04280105837364397\n\
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\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
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\ 0.71,\n \"acc_stderr\": 0.04560480215720685,\n \"acc_norm\": 0.71,\n\
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\ \"acc_norm_stderr\": 0.04560480215720685\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
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: {\n \"acc\": 0.4723404255319149,\n \"acc_stderr\": 0.03263597118409769,\n\
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\ \"acc_norm\": 0.4723404255319149,\n \"acc_norm_stderr\": 0.03263597118409769\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\": 0.5172413793103449,\n \"acc_stderr\": 0.04164188720169375,\n\
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\ \"acc_norm\": 0.5172413793103449,\n \"acc_norm_stderr\": 0.04164188720169375\n\
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\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
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: 0.3439153439153439,\n \"acc_stderr\": 0.024464426625596433,\n \"\
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acc_norm\": 0.3439153439153439,\n \"acc_norm_stderr\": 0.024464426625596433\n\
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\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.3492063492063492,\n\
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\ \"acc_stderr\": 0.04263906892795132,\n \"acc_norm\": 0.3492063492063492,\n\
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\ \"acc_norm_stderr\": 0.04263906892795132\n },\n \"harness|hendrycksTest-global_facts|5\"\
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: {\n \"acc\": 0.38,\n \"acc_stderr\": 0.04878317312145633,\n \
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\ \"acc_norm\": 0.38,\n \"acc_norm_stderr\": 0.04878317312145633\n \
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\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.6483870967741936,\n\
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\ \"acc_stderr\": 0.02716253782694846,\n \"acc_norm\": 0.6483870967741936,\n\
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\ \"acc_norm_stderr\": 0.02716253782694846\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
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: {\n \"acc\": 0.43842364532019706,\n \"acc_stderr\": 0.03491207857486518,\n\
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\ \"acc_norm\": 0.43842364532019706,\n \"acc_norm_stderr\": 0.03491207857486518\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\": 0.6666666666666666,\n \"acc_stderr\": 0.0368105086916155,\n\
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\ \"acc_norm\": 0.6666666666666666,\n \"acc_norm_stderr\": 0.0368105086916155\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\": 0.7979274611398963,\n \"acc_stderr\": 0.028979089794296732,\n\
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\ \"acc_norm\": 0.7979274611398963,\n \"acc_norm_stderr\": 0.028979089794296732\n\
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\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
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\ \"acc\": 0.5256410256410257,\n \"acc_stderr\": 0.025317649726448663,\n\
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\ \"acc_norm\": 0.5256410256410257,\n \"acc_norm_stderr\": 0.025317649726448663\n\
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\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
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acc\": 0.32592592592592595,\n \"acc_stderr\": 0.028578348365473072,\n \
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\ \"acc_norm\": 0.32592592592592595,\n \"acc_norm_stderr\": 0.028578348365473072\n\
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\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
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\ \"acc\": 0.5966386554621849,\n \"acc_stderr\": 0.031866081214088314,\n\
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\ \"acc_norm\": 0.5966386554621849,\n \"acc_norm_stderr\": 0.031866081214088314\n\
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\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
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: 0.3509933774834437,\n \"acc_stderr\": 0.03896981964257375,\n \"\
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acc_norm\": 0.3509933774834437,\n \"acc_norm_stderr\": 0.03896981964257375\n\
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\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
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: 0.7302752293577982,\n \"acc_stderr\": 0.01902848671111544,\n \"\
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| 104 |
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acc_norm\": 0.7302752293577982,\n \"acc_norm_stderr\": 0.01902848671111544\n\
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\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
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: 0.41203703703703703,\n \"acc_stderr\": 0.03356787758160835,\n \"\
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| 107 |
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acc_norm\": 0.41203703703703703,\n \"acc_norm_stderr\": 0.03356787758160835\n\
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| 108 |
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\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
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: 0.7647058823529411,\n \"acc_stderr\": 0.029771775228145628,\n \"\
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acc_norm\": 0.7647058823529411,\n \"acc_norm_stderr\": 0.029771775228145628\n\
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\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
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acc\": 0.7637130801687764,\n \"acc_stderr\": 0.02765215314415927,\n \
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\ \"acc_norm\": 0.7637130801687764,\n \"acc_norm_stderr\": 0.02765215314415927\n\
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\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6771300448430493,\n\
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\ \"acc_stderr\": 0.03138147637575499,\n \"acc_norm\": 0.6771300448430493,\n\
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\ \"acc_norm_stderr\": 0.03138147637575499\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
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: {\n \"acc\": 0.6183206106870229,\n \"acc_stderr\": 0.04260735157644559,\n\
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\ \"acc_norm\": 0.6183206106870229,\n \"acc_norm_stderr\": 0.04260735157644559\n\
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\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
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\ 0.7272727272727273,\n \"acc_stderr\": 0.04065578140908705,\n \"\
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acc_norm\": 0.7272727272727273,\n \"acc_norm_stderr\": 0.04065578140908705\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\": 0.6993865030674846,\n \"acc_stderr\": 0.03602511318806771,\n\
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| 126 |
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\ \"acc_norm\": 0.6993865030674846,\n \"acc_norm_stderr\": 0.03602511318806771\n\
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\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.36607142857142855,\n\
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\ \"acc_stderr\": 0.0457237235873743,\n \"acc_norm\": 0.36607142857142855,\n\
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\ \"acc_norm_stderr\": 0.0457237235873743\n },\n \"harness|hendrycksTest-management|5\"\
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: {\n \"acc\": 0.7087378640776699,\n \"acc_stderr\": 0.044986763205729224,\n\
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\ \"acc_norm\": 0.7087378640776699,\n \"acc_norm_stderr\": 0.044986763205729224\n\
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\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.7948717948717948,\n\
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\ \"acc_stderr\": 0.026453508054040332,\n \"acc_norm\": 0.7948717948717948,\n\
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\ \"acc_norm_stderr\": 0.026453508054040332\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
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: {\n \"acc\": 0.59,\n \"acc_stderr\": 0.049431107042371025,\n \
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\ \"acc_norm\": 0.59,\n \"acc_norm_stderr\": 0.049431107042371025\n \
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| 137 |
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\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.7611749680715197,\n\
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| 138 |
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\ \"acc_stderr\": 0.015246803197398675,\n \"acc_norm\": 0.7611749680715197,\n\
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| 139 |
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\ \"acc_norm_stderr\": 0.015246803197398675\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
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| 140 |
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: {\n \"acc\": 0.6358381502890174,\n \"acc_stderr\": 0.025906632631016127,\n\
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\ \"acc_norm\": 0.6358381502890174,\n \"acc_norm_stderr\": 0.025906632631016127\n\
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\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.45363128491620114,\n\
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\ \"acc_stderr\": 0.016650437588269073,\n \"acc_norm\": 0.45363128491620114,\n\
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\ \"acc_norm_stderr\": 0.016650437588269073\n },\n \"harness|hendrycksTest-nutrition|5\"\
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| 145 |
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: {\n \"acc\": 0.6143790849673203,\n \"acc_stderr\": 0.02787074527829028,\n\
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\ \"acc_norm\": 0.6143790849673203,\n \"acc_norm_stderr\": 0.02787074527829028\n\
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| 147 |
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\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6430868167202572,\n\
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| 148 |
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\ \"acc_stderr\": 0.027210420375934023,\n \"acc_norm\": 0.6430868167202572,\n\
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| 149 |
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\ \"acc_norm_stderr\": 0.027210420375934023\n },\n \"harness|hendrycksTest-prehistory|5\"\
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: {\n \"acc\": 0.6203703703703703,\n \"acc_stderr\": 0.027002521034516478,\n\
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\ \"acc_norm\": 0.6203703703703703,\n \"acc_norm_stderr\": 0.027002521034516478\n\
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\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
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| 153 |
-
acc\": 0.425531914893617,\n \"acc_stderr\": 0.029494827600144373,\n \
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| 154 |
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\ \"acc_norm\": 0.425531914893617,\n \"acc_norm_stderr\": 0.029494827600144373\n\
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| 155 |
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\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.42503259452411996,\n\
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| 156 |
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\ \"acc_stderr\": 0.012625879884891998,\n \"acc_norm\": 0.42503259452411996,\n\
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| 157 |
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\ \"acc_norm_stderr\": 0.012625879884891998\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
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| 158 |
-
: {\n \"acc\": 0.5183823529411765,\n \"acc_stderr\": 0.030352303395351964,\n\
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| 159 |
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\ \"acc_norm\": 0.5183823529411765,\n \"acc_norm_stderr\": 0.030352303395351964\n\
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| 160 |
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\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
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| 161 |
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acc\": 0.5816993464052288,\n \"acc_stderr\": 0.019955975145835546,\n \
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| 162 |
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\ \"acc_norm\": 0.5816993464052288,\n \"acc_norm_stderr\": 0.019955975145835546\n\
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\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6545454545454545,\n\
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| 164 |
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\ \"acc_stderr\": 0.04554619617541054,\n \"acc_norm\": 0.6545454545454545,\n\
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\ \"acc_norm_stderr\": 0.04554619617541054\n },\n \"harness|hendrycksTest-security_studies|5\"\
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| 166 |
-
: {\n \"acc\": 0.6244897959183674,\n \"acc_stderr\": 0.03100120903989484,\n\
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| 167 |
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\ \"acc_norm\": 0.6244897959183674,\n \"acc_norm_stderr\": 0.03100120903989484\n\
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| 168 |
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\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.6865671641791045,\n\
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| 169 |
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\ \"acc_stderr\": 0.032801882053486435,\n \"acc_norm\": 0.6865671641791045,\n\
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| 170 |
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\ \"acc_norm_stderr\": 0.032801882053486435\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
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| 171 |
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: {\n \"acc\": 0.82,\n \"acc_stderr\": 0.038612291966536934,\n \
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| 172 |
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\ \"acc_norm\": 0.82,\n \"acc_norm_stderr\": 0.038612291966536934\n \
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\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.463855421686747,\n\
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\ \"acc_stderr\": 0.03882310850890594,\n \"acc_norm\": 0.463855421686747,\n\
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| 175 |
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\ \"acc_norm_stderr\": 0.03882310850890594\n },\n \"harness|hendrycksTest-world_religions|5\"\
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| 176 |
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: {\n \"acc\": 0.7602339181286549,\n \"acc_stderr\": 0.03274485211946956,\n\
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| 177 |
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\ \"acc_norm\": 0.7602339181286549,\n \"acc_norm_stderr\": 0.03274485211946956\n\
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\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.36964504283965727,\n\
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\ \"mc1_stderr\": 0.016898180706973888,\n \"mc2\": 0.5135116682163505,\n\
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\ \"mc2_stderr\": 0.015657648011440012\n }\n}\n```"
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repo_url: https://huggingface.co/Undi95/ReMM-v2.2-L2-13B
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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_2023-10-03T16-45-21.105610.parquet'
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- config_name: harness_hellaswag_10
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data_files:
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- split: 2023_10_03T16_45_21.105610
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|
@@ -782,14 +646,25 @@ configs:
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- split: latest
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| 783 |
path:
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| 784 |
- '**/details_harness|truthfulqa:mc|0_2023-10-03T16-45-21.105610.parquet'
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- config_name: results
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| 786 |
data_files:
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| 787 |
- split: 2023_10_03T16_45_21.105610
|
| 788 |
path:
|
| 789 |
- results_2023-10-03T16-45-21.105610.parquet
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|
| 790 |
- split: latest
|
| 791 |
path:
|
| 792 |
-
- results_2023-10-
|
| 793 |
---
|
| 794 |
|
| 795 |
# Dataset Card for Evaluation run of Undi95/ReMM-v2.2-L2-13B
|
|
@@ -806,9 +681,9 @@ configs:
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|
| 806 |
|
| 807 |
Dataset automatically created during the evaluation run of model [Undi95/ReMM-v2.2-L2-13B](https://huggingface.co/Undi95/ReMM-v2.2-L2-13B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
|
| 808 |
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| 809 |
-
The dataset is composed of
|
| 810 |
|
| 811 |
-
The dataset has been created from
|
| 812 |
|
| 813 |
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
|
| 814 |
|
|
@@ -816,385 +691,37 @@ To load the details from a run, you can for instance do the following:
|
|
| 816 |
```python
|
| 817 |
from datasets import load_dataset
|
| 818 |
data = load_dataset("open-llm-leaderboard/details_Undi95__ReMM-v2.2-L2-13B",
|
| 819 |
-
"
|
| 820 |
split="train")
|
| 821 |
```
|
| 822 |
|
| 823 |
## Latest results
|
| 824 |
|
| 825 |
-
These are the [latest results from run 2023-10-
|
| 826 |
|
| 827 |
```python
|
| 828 |
{
|
| 829 |
"all": {
|
| 830 |
-
"
|
| 831 |
-
"
|
| 832 |
-
"
|
| 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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| 844 |
-
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-
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-
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-
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-
"
|
| 849 |
-
"
|
| 850 |
-
},
|
| 851 |
-
"harness|hendrycksTest-abstract_algebra|5": {
|
| 852 |
-
"acc": 0.37,
|
| 853 |
-
"acc_stderr": 0.04852365870939099,
|
| 854 |
-
"acc_norm": 0.37,
|
| 855 |
-
"acc_norm_stderr": 0.04852365870939099
|
| 856 |
-
},
|
| 857 |
-
"harness|hendrycksTest-anatomy|5": {
|
| 858 |
-
"acc": 0.5111111111111111,
|
| 859 |
-
"acc_stderr": 0.04318275491977976,
|
| 860 |
-
"acc_norm": 0.5111111111111111,
|
| 861 |
-
"acc_norm_stderr": 0.04318275491977976
|
| 862 |
-
},
|
| 863 |
-
"harness|hendrycksTest-astronomy|5": {
|
| 864 |
-
"acc": 0.5328947368421053,
|
| 865 |
-
"acc_stderr": 0.040601270352363966,
|
| 866 |
-
"acc_norm": 0.5328947368421053,
|
| 867 |
-
"acc_norm_stderr": 0.040601270352363966
|
| 868 |
-
},
|
| 869 |
-
"harness|hendrycksTest-business_ethics|5": {
|
| 870 |
-
"acc": 0.56,
|
| 871 |
-
"acc_stderr": 0.04988876515698589,
|
| 872 |
-
"acc_norm": 0.56,
|
| 873 |
-
"acc_norm_stderr": 0.04988876515698589
|
| 874 |
-
},
|
| 875 |
-
"harness|hendrycksTest-clinical_knowledge|5": {
|
| 876 |
-
"acc": 0.5924528301886792,
|
| 877 |
-
"acc_stderr": 0.030242233800854494,
|
| 878 |
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"acc_norm": 0.5924528301886792,
|
| 879 |
-
"acc_norm_stderr": 0.030242233800854494
|
| 880 |
-
},
|
| 881 |
-
"harness|hendrycksTest-college_biology|5": {
|
| 882 |
-
"acc": 0.6041666666666666,
|
| 883 |
-
"acc_stderr": 0.04089465449325582,
|
| 884 |
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"acc_norm": 0.6041666666666666,
|
| 885 |
-
"acc_norm_stderr": 0.04089465449325582
|
| 886 |
-
},
|
| 887 |
-
"harness|hendrycksTest-college_chemistry|5": {
|
| 888 |
-
"acc": 0.34,
|
| 889 |
-
"acc_stderr": 0.04760952285695235,
|
| 890 |
-
"acc_norm": 0.34,
|
| 891 |
-
"acc_norm_stderr": 0.04760952285695235
|
| 892 |
-
},
|
| 893 |
-
"harness|hendrycksTest-college_computer_science|5": {
|
| 894 |
-
"acc": 0.44,
|
| 895 |
-
"acc_stderr": 0.04988876515698589,
|
| 896 |
-
"acc_norm": 0.44,
|
| 897 |
-
"acc_norm_stderr": 0.04988876515698589
|
| 898 |
-
},
|
| 899 |
-
"harness|hendrycksTest-college_mathematics|5": {
|
| 900 |
-
"acc": 0.35,
|
| 901 |
-
"acc_stderr": 0.047937248544110196,
|
| 902 |
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"acc_norm": 0.35,
|
| 903 |
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"acc_norm_stderr": 0.047937248544110196
|
| 904 |
-
},
|
| 905 |
-
"harness|hendrycksTest-college_medicine|5": {
|
| 906 |
-
"acc": 0.5317919075144508,
|
| 907 |
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"acc_stderr": 0.03804749744364764,
|
| 908 |
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"acc_norm": 0.5317919075144508,
|
| 909 |
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"acc_norm_stderr": 0.03804749744364764
|
| 910 |
-
},
|
| 911 |
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"harness|hendrycksTest-college_physics|5": {
|
| 912 |
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"acc": 0.24509803921568626,
|
| 913 |
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"acc_stderr": 0.04280105837364397,
|
| 914 |
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"acc_norm": 0.24509803921568626,
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| 915 |
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"acc_norm_stderr": 0.04280105837364397
|
| 916 |
-
},
|
| 917 |
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"harness|hendrycksTest-computer_security|5": {
|
| 918 |
-
"acc": 0.71,
|
| 919 |
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"acc_stderr": 0.04560480215720685,
|
| 920 |
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"acc_norm": 0.71,
|
| 921 |
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"acc_norm_stderr": 0.04560480215720685
|
| 922 |
-
},
|
| 923 |
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"harness|hendrycksTest-conceptual_physics|5": {
|
| 924 |
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"acc": 0.4723404255319149,
|
| 925 |
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"acc_stderr": 0.03263597118409769,
|
| 926 |
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"acc_norm": 0.4723404255319149,
|
| 927 |
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"acc_norm_stderr": 0.03263597118409769
|
| 928 |
-
},
|
| 929 |
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"harness|hendrycksTest-econometrics|5": {
|
| 930 |
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|
| 931 |
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|
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|
| 933 |
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|
| 934 |
-
},
|
| 935 |
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"harness|hendrycksTest-electrical_engineering|5": {
|
| 936 |
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|
| 937 |
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| 939 |
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|
| 940 |
-
},
|
| 941 |
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"harness|hendrycksTest-elementary_mathematics|5": {
|
| 942 |
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"acc": 0.3439153439153439,
|
| 943 |
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"acc_norm": 0.3439153439153439,
|
| 945 |
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"acc_norm_stderr": 0.024464426625596433
|
| 946 |
-
},
|
| 947 |
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"harness|hendrycksTest-formal_logic|5": {
|
| 948 |
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|
| 949 |
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| 951 |
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| 952 |
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},
|
| 953 |
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"harness|hendrycksTest-global_facts|5": {
|
| 954 |
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"acc": 0.38,
|
| 955 |
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|
| 956 |
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| 957 |
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| 958 |
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},
|
| 959 |
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|
| 960 |
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| 961 |
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| 963 |
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| 964 |
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| 965 |
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"harness|hendrycksTest-high_school_chemistry|5": {
|
| 966 |
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|
| 967 |
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| 969 |
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| 970 |
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},
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| 971 |
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"harness|hendrycksTest-high_school_computer_science|5": {
|
| 972 |
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"acc": 0.56,
|
| 973 |
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| 975 |
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|
| 976 |
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},
|
| 977 |
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"harness|hendrycksTest-high_school_european_history|5": {
|
| 978 |
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"acc": 0.6666666666666666,
|
| 979 |
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"acc_stderr": 0.0368105086916155,
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| 980 |
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|
| 981 |
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|
| 982 |
-
},
|
| 983 |
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"harness|hendrycksTest-high_school_geography|5": {
|
| 984 |
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"acc": 0.702020202020202,
|
| 985 |
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| 986 |
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"acc_norm": 0.702020202020202,
|
| 987 |
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"acc_norm_stderr": 0.03258630383836556
|
| 988 |
-
},
|
| 989 |
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"harness|hendrycksTest-high_school_government_and_politics|5": {
|
| 990 |
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"acc": 0.7979274611398963,
|
| 991 |
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| 993 |
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|
| 994 |
-
},
|
| 995 |
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"harness|hendrycksTest-high_school_macroeconomics|5": {
|
| 996 |
-
"acc": 0.5256410256410257,
|
| 997 |
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"acc_stderr": 0.025317649726448663,
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"acc_norm": 0.5256410256410257,
|
| 999 |
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"acc_norm_stderr": 0.025317649726448663
|
| 1000 |
-
},
|
| 1001 |
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"harness|hendrycksTest-high_school_mathematics|5": {
|
| 1002 |
-
"acc": 0.32592592592592595,
|
| 1003 |
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| 1004 |
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|
| 1005 |
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"acc_norm_stderr": 0.028578348365473072
|
| 1006 |
-
},
|
| 1007 |
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"harness|hendrycksTest-high_school_microeconomics|5": {
|
| 1008 |
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"acc": 0.5966386554621849,
|
| 1009 |
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| 1010 |
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|
| 1011 |
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|
| 1012 |
-
},
|
| 1013 |
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|
| 1014 |
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|
| 1015 |
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|
| 1017 |
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|
| 1018 |
-
},
|
| 1019 |
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"harness|hendrycksTest-high_school_psychology|5": {
|
| 1020 |
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|
| 1021 |
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|
| 1022 |
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|
| 1023 |
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|
| 1024 |
-
},
|
| 1025 |
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"harness|hendrycksTest-high_school_statistics|5": {
|
| 1026 |
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"acc": 0.41203703703703703,
|
| 1027 |
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|
| 1028 |
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|
| 1029 |
-
"acc_norm_stderr": 0.03356787758160835
|
| 1030 |
-
},
|
| 1031 |
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"harness|hendrycksTest-high_school_us_history|5": {
|
| 1032 |
-
"acc": 0.7647058823529411,
|
| 1033 |
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|
| 1034 |
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"acc_norm": 0.7647058823529411,
|
| 1035 |
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"acc_norm_stderr": 0.029771775228145628
|
| 1036 |
-
},
|
| 1037 |
-
"harness|hendrycksTest-high_school_world_history|5": {
|
| 1038 |
-
"acc": 0.7637130801687764,
|
| 1039 |
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|
| 1040 |
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|
| 1041 |
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"acc_norm_stderr": 0.02765215314415927
|
| 1042 |
-
},
|
| 1043 |
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"harness|hendrycksTest-human_aging|5": {
|
| 1044 |
-
"acc": 0.6771300448430493,
|
| 1045 |
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| 1046 |
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|
| 1047 |
-
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|
| 1048 |
-
},
|
| 1049 |
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|
| 1050 |
-
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|
| 1051 |
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|
| 1052 |
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|
| 1053 |
-
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|
| 1054 |
-
},
|
| 1055 |
-
"harness|hendrycksTest-international_law|5": {
|
| 1056 |
-
"acc": 0.7272727272727273,
|
| 1057 |
-
"acc_stderr": 0.04065578140908705,
|
| 1058 |
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"acc_norm": 0.7272727272727273,
|
| 1059 |
-
"acc_norm_stderr": 0.04065578140908705
|
| 1060 |
-
},
|
| 1061 |
-
"harness|hendrycksTest-jurisprudence|5": {
|
| 1062 |
-
"acc": 0.75,
|
| 1063 |
-
"acc_stderr": 0.04186091791394607,
|
| 1064 |
-
"acc_norm": 0.75,
|
| 1065 |
-
"acc_norm_stderr": 0.04186091791394607
|
| 1066 |
-
},
|
| 1067 |
-
"harness|hendrycksTest-logical_fallacies|5": {
|
| 1068 |
-
"acc": 0.6993865030674846,
|
| 1069 |
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"acc_stderr": 0.03602511318806771,
|
| 1070 |
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"acc_norm": 0.6993865030674846,
|
| 1071 |
-
"acc_norm_stderr": 0.03602511318806771
|
| 1072 |
-
},
|
| 1073 |
-
"harness|hendrycksTest-machine_learning|5": {
|
| 1074 |
-
"acc": 0.36607142857142855,
|
| 1075 |
-
"acc_stderr": 0.0457237235873743,
|
| 1076 |
-
"acc_norm": 0.36607142857142855,
|
| 1077 |
-
"acc_norm_stderr": 0.0457237235873743
|
| 1078 |
-
},
|
| 1079 |
-
"harness|hendrycksTest-management|5": {
|
| 1080 |
-
"acc": 0.7087378640776699,
|
| 1081 |
-
"acc_stderr": 0.044986763205729224,
|
| 1082 |
-
"acc_norm": 0.7087378640776699,
|
| 1083 |
-
"acc_norm_stderr": 0.044986763205729224
|
| 1084 |
-
},
|
| 1085 |
-
"harness|hendrycksTest-marketing|5": {
|
| 1086 |
-
"acc": 0.7948717948717948,
|
| 1087 |
-
"acc_stderr": 0.026453508054040332,
|
| 1088 |
-
"acc_norm": 0.7948717948717948,
|
| 1089 |
-
"acc_norm_stderr": 0.026453508054040332
|
| 1090 |
-
},
|
| 1091 |
-
"harness|hendrycksTest-medical_genetics|5": {
|
| 1092 |
-
"acc": 0.59,
|
| 1093 |
-
"acc_stderr": 0.049431107042371025,
|
| 1094 |
-
"acc_norm": 0.59,
|
| 1095 |
-
"acc_norm_stderr": 0.049431107042371025
|
| 1096 |
-
},
|
| 1097 |
-
"harness|hendrycksTest-miscellaneous|5": {
|
| 1098 |
-
"acc": 0.7611749680715197,
|
| 1099 |
-
"acc_stderr": 0.015246803197398675,
|
| 1100 |
-
"acc_norm": 0.7611749680715197,
|
| 1101 |
-
"acc_norm_stderr": 0.015246803197398675
|
| 1102 |
-
},
|
| 1103 |
-
"harness|hendrycksTest-moral_disputes|5": {
|
| 1104 |
-
"acc": 0.6358381502890174,
|
| 1105 |
-
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|
| 1106 |
-
"acc_norm": 0.6358381502890174,
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| 1107 |
-
"acc_norm_stderr": 0.025906632631016127
|
| 1108 |
-
},
|
| 1109 |
-
"harness|hendrycksTest-moral_scenarios|5": {
|
| 1110 |
-
"acc": 0.45363128491620114,
|
| 1111 |
-
"acc_stderr": 0.016650437588269073,
|
| 1112 |
-
"acc_norm": 0.45363128491620114,
|
| 1113 |
-
"acc_norm_stderr": 0.016650437588269073
|
| 1114 |
-
},
|
| 1115 |
-
"harness|hendrycksTest-nutrition|5": {
|
| 1116 |
-
"acc": 0.6143790849673203,
|
| 1117 |
-
"acc_stderr": 0.02787074527829028,
|
| 1118 |
-
"acc_norm": 0.6143790849673203,
|
| 1119 |
-
"acc_norm_stderr": 0.02787074527829028
|
| 1120 |
-
},
|
| 1121 |
-
"harness|hendrycksTest-philosophy|5": {
|
| 1122 |
-
"acc": 0.6430868167202572,
|
| 1123 |
-
"acc_stderr": 0.027210420375934023,
|
| 1124 |
-
"acc_norm": 0.6430868167202572,
|
| 1125 |
-
"acc_norm_stderr": 0.027210420375934023
|
| 1126 |
-
},
|
| 1127 |
-
"harness|hendrycksTest-prehistory|5": {
|
| 1128 |
-
"acc": 0.6203703703703703,
|
| 1129 |
-
"acc_stderr": 0.027002521034516478,
|
| 1130 |
-
"acc_norm": 0.6203703703703703,
|
| 1131 |
-
"acc_norm_stderr": 0.027002521034516478
|
| 1132 |
-
},
|
| 1133 |
-
"harness|hendrycksTest-professional_accounting|5": {
|
| 1134 |
-
"acc": 0.425531914893617,
|
| 1135 |
-
"acc_stderr": 0.029494827600144373,
|
| 1136 |
-
"acc_norm": 0.425531914893617,
|
| 1137 |
-
"acc_norm_stderr": 0.029494827600144373
|
| 1138 |
-
},
|
| 1139 |
-
"harness|hendrycksTest-professional_law|5": {
|
| 1140 |
-
"acc": 0.42503259452411996,
|
| 1141 |
-
"acc_stderr": 0.012625879884891998,
|
| 1142 |
-
"acc_norm": 0.42503259452411996,
|
| 1143 |
-
"acc_norm_stderr": 0.012625879884891998
|
| 1144 |
-
},
|
| 1145 |
-
"harness|hendrycksTest-professional_medicine|5": {
|
| 1146 |
-
"acc": 0.5183823529411765,
|
| 1147 |
-
"acc_stderr": 0.030352303395351964,
|
| 1148 |
-
"acc_norm": 0.5183823529411765,
|
| 1149 |
-
"acc_norm_stderr": 0.030352303395351964
|
| 1150 |
-
},
|
| 1151 |
-
"harness|hendrycksTest-professional_psychology|5": {
|
| 1152 |
-
"acc": 0.5816993464052288,
|
| 1153 |
-
"acc_stderr": 0.019955975145835546,
|
| 1154 |
-
"acc_norm": 0.5816993464052288,
|
| 1155 |
-
"acc_norm_stderr": 0.019955975145835546
|
| 1156 |
-
},
|
| 1157 |
-
"harness|hendrycksTest-public_relations|5": {
|
| 1158 |
-
"acc": 0.6545454545454545,
|
| 1159 |
-
"acc_stderr": 0.04554619617541054,
|
| 1160 |
-
"acc_norm": 0.6545454545454545,
|
| 1161 |
-
"acc_norm_stderr": 0.04554619617541054
|
| 1162 |
-
},
|
| 1163 |
-
"harness|hendrycksTest-security_studies|5": {
|
| 1164 |
-
"acc": 0.6244897959183674,
|
| 1165 |
-
"acc_stderr": 0.03100120903989484,
|
| 1166 |
-
"acc_norm": 0.6244897959183674,
|
| 1167 |
-
"acc_norm_stderr": 0.03100120903989484
|
| 1168 |
-
},
|
| 1169 |
-
"harness|hendrycksTest-sociology|5": {
|
| 1170 |
-
"acc": 0.6865671641791045,
|
| 1171 |
-
"acc_stderr": 0.032801882053486435,
|
| 1172 |
-
"acc_norm": 0.6865671641791045,
|
| 1173 |
-
"acc_norm_stderr": 0.032801882053486435
|
| 1174 |
-
},
|
| 1175 |
-
"harness|hendrycksTest-us_foreign_policy|5": {
|
| 1176 |
-
"acc": 0.82,
|
| 1177 |
-
"acc_stderr": 0.038612291966536934,
|
| 1178 |
-
"acc_norm": 0.82,
|
| 1179 |
-
"acc_norm_stderr": 0.038612291966536934
|
| 1180 |
-
},
|
| 1181 |
-
"harness|hendrycksTest-virology|5": {
|
| 1182 |
-
"acc": 0.463855421686747,
|
| 1183 |
-
"acc_stderr": 0.03882310850890594,
|
| 1184 |
-
"acc_norm": 0.463855421686747,
|
| 1185 |
-
"acc_norm_stderr": 0.03882310850890594
|
| 1186 |
-
},
|
| 1187 |
-
"harness|hendrycksTest-world_religions|5": {
|
| 1188 |
-
"acc": 0.7602339181286549,
|
| 1189 |
-
"acc_stderr": 0.03274485211946956,
|
| 1190 |
-
"acc_norm": 0.7602339181286549,
|
| 1191 |
-
"acc_norm_stderr": 0.03274485211946956
|
| 1192 |
-
},
|
| 1193 |
-
"harness|truthfulqa:mc|0": {
|
| 1194 |
-
"mc1": 0.36964504283965727,
|
| 1195 |
-
"mc1_stderr": 0.016898180706973888,
|
| 1196 |
-
"mc2": 0.5135116682163505,
|
| 1197 |
-
"mc2_stderr": 0.015657648011440012
|
| 1198 |
}
|
| 1199 |
}
|
| 1200 |
```
|
|
|
|
| 3 |
dataset_summary: "Dataset automatically created during the evaluation run of model\
|
| 4 |
\ [Undi95/ReMM-v2.2-L2-13B](https://huggingface.co/Undi95/ReMM-v2.2-L2-13B) on the\
|
| 5 |
\ [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
|
| 6 |
+
\nThe dataset is composed of 64 configuration, each one coresponding to one of the\
|
| 7 |
+
\ evaluated task.\n\nThe dataset has been created from 2 run(s). Each run can be\
|
| 8 |
\ found as a specific split in each configuration, the split being named using the\
|
| 9 |
\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
|
| 10 |
\nAn additional configuration \"results\" store all the aggregated results of the\
|
|
|
|
| 12 |
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
|
| 13 |
\nTo load the details from a run, you can for instance do the following:\n```python\n\
|
| 14 |
from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_Undi95__ReMM-v2.2-L2-13B\"\
|
| 15 |
+
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
|
| 16 |
+
These are the [latest results from run 2023-10-23T13:54:57.235808](https://huggingface.co/datasets/open-llm-leaderboard/details_Undi95__ReMM-v2.2-L2-13B/blob/main/results_2023-10-23T13-54-57.235808.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\": 0.037751677852348994,\n\
|
| 20 |
+
\ \"em_stderr\": 0.0019518721243716466,\n \"f1\": 0.10559354026845587,\n\
|
| 21 |
+
\ \"f1_stderr\": 0.00235422441511938,\n \"acc\": 0.4481872912020479,\n\
|
| 22 |
+
\ \"acc_stderr\": 0.010817015780168433\n },\n \"harness|drop|3\": {\n\
|
| 23 |
+
\ \"em\": 0.037751677852348994,\n \"em_stderr\": 0.0019518721243716466,\n\
|
| 24 |
+
\ \"f1\": 0.10559354026845587,\n \"f1_stderr\": 0.00235422441511938\n\
|
| 25 |
+
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.14025777103866566,\n \
|
| 26 |
+
\ \"acc_stderr\": 0.009565108281428673\n },\n \"harness|winogrande|5\"\
|
| 27 |
+
: {\n \"acc\": 0.7561168113654302,\n \"acc_stderr\": 0.012068923278908192\n\
|
| 28 |
+
\ }\n}\n```"
|
|
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|
| 29 |
repo_url: https://huggingface.co/Undi95/ReMM-v2.2-L2-13B
|
| 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_2023-10-03T16-45-21.105610.parquet'
|
| 41 |
+
- config_name: harness_drop_3
|
| 42 |
+
data_files:
|
| 43 |
+
- split: 2023_10_23T13_54_57.235808
|
| 44 |
+
path:
|
| 45 |
+
- '**/details_harness|drop|3_2023-10-23T13-54-57.235808.parquet'
|
| 46 |
+
- split: latest
|
| 47 |
+
path:
|
| 48 |
+
- '**/details_harness|drop|3_2023-10-23T13-54-57.235808.parquet'
|
| 49 |
+
- config_name: harness_gsm8k_5
|
| 50 |
+
data_files:
|
| 51 |
+
- split: 2023_10_23T13_54_57.235808
|
| 52 |
+
path:
|
| 53 |
+
- '**/details_harness|gsm8k|5_2023-10-23T13-54-57.235808.parquet'
|
| 54 |
+
- split: latest
|
| 55 |
+
path:
|
| 56 |
+
- '**/details_harness|gsm8k|5_2023-10-23T13-54-57.235808.parquet'
|
| 57 |
- config_name: harness_hellaswag_10
|
| 58 |
data_files:
|
| 59 |
- split: 2023_10_03T16_45_21.105610
|
|
|
|
| 646 |
- split: latest
|
| 647 |
path:
|
| 648 |
- '**/details_harness|truthfulqa:mc|0_2023-10-03T16-45-21.105610.parquet'
|
| 649 |
+
- config_name: harness_winogrande_5
|
| 650 |
+
data_files:
|
| 651 |
+
- split: 2023_10_23T13_54_57.235808
|
| 652 |
+
path:
|
| 653 |
+
- '**/details_harness|winogrande|5_2023-10-23T13-54-57.235808.parquet'
|
| 654 |
+
- split: latest
|
| 655 |
+
path:
|
| 656 |
+
- '**/details_harness|winogrande|5_2023-10-23T13-54-57.235808.parquet'
|
| 657 |
- config_name: results
|
| 658 |
data_files:
|
| 659 |
- split: 2023_10_03T16_45_21.105610
|
| 660 |
path:
|
| 661 |
- results_2023-10-03T16-45-21.105610.parquet
|
| 662 |
+
- split: 2023_10_23T13_54_57.235808
|
| 663 |
+
path:
|
| 664 |
+
- results_2023-10-23T13-54-57.235808.parquet
|
| 665 |
- split: latest
|
| 666 |
path:
|
| 667 |
+
- results_2023-10-23T13-54-57.235808.parquet
|
| 668 |
---
|
| 669 |
|
| 670 |
# Dataset Card for Evaluation run of Undi95/ReMM-v2.2-L2-13B
|
|
|
|
| 681 |
|
| 682 |
Dataset automatically created during the evaluation run of model [Undi95/ReMM-v2.2-L2-13B](https://huggingface.co/Undi95/ReMM-v2.2-L2-13B) 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_Undi95__ReMM-v2.2-L2-13B",
|
| 694 |
+
"harness_winogrande_5",
|
| 695 |
split="train")
|
| 696 |
```
|
| 697 |
|
| 698 |
## Latest results
|
| 699 |
|
| 700 |
+
These are the [latest results from run 2023-10-23T13:54:57.235808](https://huggingface.co/datasets/open-llm-leaderboard/details_Undi95__ReMM-v2.2-L2-13B/blob/main/results_2023-10-23T13-54-57.235808.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": 0.037751677852348994,
|
| 706 |
+
"em_stderr": 0.0019518721243716466,
|
| 707 |
+
"f1": 0.10559354026845587,
|
| 708 |
+
"f1_stderr": 0.00235422441511938,
|
| 709 |
+
"acc": 0.4481872912020479,
|
| 710 |
+
"acc_stderr": 0.010817015780168433
|
| 711 |
+
},
|
| 712 |
+
"harness|drop|3": {
|
| 713 |
+
"em": 0.037751677852348994,
|
| 714 |
+
"em_stderr": 0.0019518721243716466,
|
| 715 |
+
"f1": 0.10559354026845587,
|
| 716 |
+
"f1_stderr": 0.00235422441511938
|
| 717 |
+
},
|
| 718 |
+
"harness|gsm8k|5": {
|
| 719 |
+
"acc": 0.14025777103866566,
|
| 720 |
+
"acc_stderr": 0.009565108281428673
|
| 721 |
+
},
|
| 722 |
+
"harness|winogrande|5": {
|
| 723 |
+
"acc": 0.7561168113654302,
|
| 724 |
+
"acc_stderr": 0.012068923278908192
|
|
|
|
|
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| 725 |
}
|
| 726 |
}
|
| 727 |
```
|