open-llm-leaderboard-old/details_DrNicefellow__Mistral-5-from-Mixtral-8x7B-v0.1

该数据集是在模型DrNicefellow/Mistral-5-from-Mixtral-8x7B-v0.1的评估运行中自动创建的。数据集由63个配置组成，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，分割以运行的时间戳命名。train分割始终指向最新的结果。此外，results配置存储了所有运行的聚合结果，并用于计算和显示在Open LLM Leaderboard上的聚合指标。

原始信息汇总

数据集概述

数据集简介

该数据集是在模型 DrNicefellow/Mistral-5-from-Mixtral-8x7B-v0.1 在 Open LLM Leaderboard 上的评估运行期间自动创建的。数据集包含 63 个配置，每个配置对应一个评估任务。

数据集结构

• 配置数量：63 个配置
• 数据来源：1 次运行，每个运行结果作为特定分割存储，分割名称使用运行的时间戳。
• 最新结果："train" 分割始终指向最新结果。
• 聚合结果：一个额外的配置 "results" 存储所有运行的聚合结果，用于计算和显示在 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_DrNicefellow__Mistral-5-from-Mixtral-8x7B-v0.1", "harness_winogrande_5", split="train")

最新结果

以下是 2024-04-15T19:26:08.653949 运行的最新结果：

python { "all": { "acc": 0.25060841559546904, "acc_stderr": 0.030549884411199244, "acc_norm": 0.25191466904754833, "acc_norm_stderr": 0.03136624993271864, "mc1": 0.24112607099143207, "mc1_stderr": 0.014974827279752339, "mc2": 0.4826756168666901, "mc2_stderr": 0.016191542043868343 }, "harness|arc:challenge|25": { "acc": 0.22610921501706485, "acc_stderr": 0.012224202097063286, "acc_norm": 0.2935153583617747, "acc_norm_stderr": 0.01330725044494113 }, "harness|hellaswag|10": { "acc": 0.25791674965146383, "acc_stderr": 0.004365938407209609, "acc_norm": 0.264389563831906, "acc_norm_stderr": 0.004401063265803206 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.22, "acc_stderr": 0.04163331998932268, "acc_norm": 0.22, "acc_norm_stderr": 0.04163331998932268 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.3333333333333333, "acc_stderr": 0.04072314811876837, "acc_norm": 0.3333333333333333, "acc_norm_stderr": 0.04072314811876837 }, "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": 0.15, "acc_stderr": 0.03588702812826369, "acc_norm": 0.15, "acc_norm_stderr": 0.03588702812826369 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.2037735849056604, "acc_stderr": 0.024790784501775395, "acc_norm": 0.2037735849056604, "acc_norm_stderr": 0.024790784501775395 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.2222222222222222, "acc_stderr": 0.03476590104304134, "acc_norm": 0.2222222222222222, "acc_norm_stderr": 0.03476590104304134 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.23, "acc_stderr": 0.04229525846816506, "acc_norm": 0.23, "acc_norm_stderr": 0.04229525846816506 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.28, "acc_stderr": 0.045126085985421276, "acc_norm": 0.28, "acc_norm_stderr": 0.045126085985421276 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.29, "acc_stderr": 0.045604802157206845, "acc_norm": 0.29, "acc_norm_stderr": 0.045604802157206845 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.23699421965317918, "acc_stderr": 0.03242414757483098, "acc_norm": 0.23699421965317918, "acc_norm_stderr": 0.03242414757483098 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.20588235294117646, "acc_stderr": 0.04023382273617747, "acc_norm": 0.20588235294117646, "acc_norm_stderr": 0.04023382273617747 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.28, "acc_stderr": 0.045126085985421276, "acc_norm": 0.28, "acc_norm_stderr": 0.045126085985421276 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.28085106382978725, "acc_stderr": 0.02937917046412482, "acc_norm": 0.28085106382978725, "acc_norm_stderr": 0.02937917046412482 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.24561403508771928, "acc_stderr": 0.04049339297748141, "acc_norm": 0.24561403508771928, "acc_norm_stderr": 0.04049339297748141 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.23448275862068965, "acc_stderr": 0.035306258743465914, "acc_norm": 0.23448275862068965, "acc_norm_stderr": 0.035306258743465914 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.2566137566137566, "acc_stderr": 0.022494510767503154, "acc_norm": 0.2566137566137566, "acc_norm_stderr": 0.022494510767503154 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.1746031746031746, "acc_stderr": 0.0339549002085611, "acc_norm": 0.1746031746031746, "acc_norm_stderr": 0.0339549002085611 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.17, "acc_stderr": 0.0377525168068637, "acc_norm": 0.17, "acc_norm_stderr": 0.0377525168068637 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.2967741935483871, "acc_stderr": 0.025988500792411898, "acc_norm": 0.2967741935483871, "acc_norm_stderr": 0.025988500792411898 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.22660098522167488, "acc_stderr": 0.029454863835292975, "acc_norm": 0.22660098522167488, "acc_norm_stderr": 0.029454863835292975 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "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": 0.20707070707070707, "acc_stderr": 0.028869778460267052, "acc_norm": 0.20707070707070707, "acc_norm_stderr": 0.028869778460267052 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.21761658031088082, "acc_stderr": 0.02977866303775296, "acc_norm": 0.21761658031088082, "acc_norm_stderr": 0.02977866303775296 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.2205128205128205, "acc_stderr": 0.02102067268082791, "acc_norm": 0.2205128205128205, "acc_norm_stderr": 0.02102067268082791 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.2