open-llm-leaderboard/details_BEE-spoke-data__verysmol_llama-v11-KIx2

该数据集是在Open LLM Leaderboard上对模型BEE-spoke-data/verysmol_llama-v11-KIx2进行评估时自动生成的。数据集包含64个配置，每个配置对应一个评估任务。它包含一次运行的结果，每次运行在每个配置中表示为特定的分割，分割名称由运行的时间戳命名。train分割始终指向最新结果。此外，results配置存储了所有运行的聚合结果，用于计算和显示Open LLM Leaderboard上的聚合指标。README还提供了如何使用Hugging Face datasets库加载数据集的示例。

This dataset was automatically generated during the evaluation of the model BEE-spoke-data/verysmol_llama-v11-KIx2 on the Open LLM Leaderboard. It consists of 64 configurations, each corresponding to one evaluation task. The dataset contains results from multiple runs, where each run is represented as a specific split for every configuration, and the split names are named using the timestamp of the corresponding run. The 'train' split always points to the most recent evaluation results. Additionally, the 'results' configuration stores the aggregated results across all runs, which are used to calculate and display the aggregate metrics on the Open LLM Leaderboard. The README also provides examples of how to load the dataset using the Hugging Face Datasets library.

原始信息汇总

数据集概述

数据集简介

该数据集是在模型 BEE-spoke-data/verysmol_llama-v11-KIx2 在 Open LLM Leaderboard 上的评估运行期间自动创建的。

数据集组成

• 数据集包含 64 个配置，每个配置对应一个评估任务。
• 数据集从 1 次运行中创建，每次运行可以在每个配置中找到特定的分割，分割名称使用运行的时间戳。
• "train" 分割始终指向最新的结果。
• 一个额外的配置 "results" 存储所有运行的聚合结果，用于计算和显示 Open LLM Leaderboard 上的聚合指标。

数据加载示例

python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_BEE-spoke-data__verysmol_llama-v11-KIx2_public", "harness_winogrande_5", split="train")

最新结果

以下是 2023-11-13T13:21:49.840481 运行的最新结果：

python { "all": { "acc": 0.25242844116774144, "acc_stderr": 0.030580549886448656, "acc_norm": 0.25279484630397214, "acc_norm_stderr": 0.03136408554761852, "mc1": 0.2521419828641371, "mc1_stderr": 0.015201522246299962, "mc2": 0.44749716634136827, "mc2_stderr": 0.015554683095212777, "em": 0.001153523489932886, "em_stderr": 0.0003476179896857093, "f1": 0.03032822986577186, "f1_stderr": 0.0010726730256709186 }, "harness|arc:challenge|25": { "acc": 0.19795221843003413, "acc_stderr": 0.011643990971573407, "acc_norm": 0.22696245733788395, "acc_norm_stderr": 0.012240491536132866 }, "harness|hellaswag|10": { "acc": 0.2698665604461263, "acc_stderr": 0.0044298311529146735, "acc_norm": 0.27604062935670187, "acc_norm_stderr": 0.004461235175488315 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.17, "acc_stderr": 0.03775251680686371, "acc_norm": 0.17, "acc_norm_stderr": 0.03775251680686371 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.26666666666666666, "acc_stderr": 0.038201699145179055, "acc_norm": 0.26666666666666666, "acc_norm_stderr": 0.038201699145179055 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.17763157894736842, "acc_stderr": 0.031103182383123398, "acc_norm": 0.17763157894736842, "acc_norm_stderr": 0.031103182383123398 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.29, "acc_stderr": 0.045604802157206845, "acc_norm": 0.29, "acc_norm_stderr": 0.045604802157206845 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.2188679245283019, "acc_stderr": 0.02544786382510863, "acc_norm": 0.2188679245283019, "acc_norm_stderr": 0.02544786382510863 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.2361111111111111, "acc_stderr": 0.03551446610810826, "acc_norm": 0.2361111111111111, "acc_norm_stderr": 0.03551446610810826 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.25, "acc_stderr": 0.04351941398892446, "acc_norm": 0.25, "acc_norm_stderr": 0.04351941398892446 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.23, "acc_stderr": 0.04229525846816508, "acc_norm": 0.23, "acc_norm_stderr": 0.04229525846816508 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.22, "acc_stderr": 0.04163331998932268, "acc_norm": 0.22, "acc_norm_stderr": 0.04163331998932268 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.2023121387283237, "acc_stderr": 0.03063114553919882, "acc_norm": 0.2023121387283237, "acc_norm_stderr": 0.03063114553919882 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.21568627450980393, "acc_stderr": 0.04092563958237654, "acc_norm": 0.21568627450980393, "acc_norm_stderr": 0.04092563958237654 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.21, "acc_stderr": 0.04093601807403326, "acc_norm": 0.21, "acc_norm_stderr": 0.04093601807403326 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.26382978723404255, "acc_stderr": 0.028809989854102973, "acc_norm": 0.26382978723404255, "acc_norm_stderr": 0.028809989854102973 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2719298245614035, "acc_stderr": 0.04185774424022057, "acc_norm": 0.2719298245614035, "acc_norm_stderr": 0.04185774424022057 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.21379310344827587, "acc_stderr": 0.0341652044774755, "acc_norm": 0.21379310344827587, "acc_norm_stderr": 0.0341652044774755 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.25132275132275134, "acc_stderr": 0.022340482339643898, "acc_norm": 0.25132275132275134, "acc_norm_stderr": 0.022340482339643898 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.21428571428571427, "acc_stderr": 0.036700664510471825, "acc_norm": 0.21428571428571427, "acc_norm_stderr": 0.036700664510471825 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.14, "acc_stderr": 0.034873508801977704, "acc_norm": 0.14, "acc_norm_stderr": 0.034873508801977704 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.3096774193548387, "acc_stderr": 0.026302774983517418, "acc_norm": 0.3096774193548387, "acc_norm_stderr": 0.026302774983517418 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.2955665024630542, "acc_stderr": 0.032104944337514575, "acc_norm": 0.2955665024630542, "acc_norm_stderr": 0.032104944337514575 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.24, "acc_stderr": 0.04292346959909282, "acc_norm": 0.24, "acc_norm_stderr": 0.04292346959909282 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.2606060606060606, "acc_stderr": 0.034277431758165236, "acc_norm": 0.2606060606060606, "acc_norm_stderr": 0.034277431758165236 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.3383838383838384, "acc_stderr": 0.03371124142626304, "acc_norm": 0.3383838383838384, "acc_norm_stderr": 0.03371124142626304 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.27461139896373055, "acc_stderr": 0.03221024508041154, "acc_norm": 0.27461139896373055, "acc_norm_stderr": 0.03221024508041154 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.33076923076923076, "acc_stderr": 0.02385479568097