open-llm-leaderboard-old/details_zorobin__mistral-class-shishya-all-hal-7b-ep3

该数据集是在Open LLM Leaderboard上对模型zorobin/mistral-class-shishya-all-hal-7b-ep3进行评估时自动创建的。数据集包含63个配置，每个配置对应一个评估任务。数据集由1次运行生成，每次运行的结果作为特定配置中的一个分割，分割名称使用运行的时间戳。"train"分割始终指向最新的结果。此外，"results"配置存储了所有运行的聚合结果，用于在Open LLM Leaderboard上计算和显示聚合指标。

原始信息汇总

数据集概述

该数据集是在对模型 zorobin/mistral-class-shishya-all-hal-7b-ep3 进行评估运行期间自动创建的，用于 Open LLM Leaderboard。

数据集组成

• 数据集包含 63 个配置，每个配置对应一个评估任务。
• 数据集由 1 次运行创建，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。
• 额外的 "results" 配置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_zorobin__mistral-class-shishya-all-hal-7b-ep3", "harness_winogrande_5", split="train")

最新结果

以下是 2024-01-28T05:47:57.937695 运行的最新结果：

python { "all": { "acc": 0.35098970402920293, "acc_stderr": 0.033365473911417726, "acc_norm": 0.3540891126290075, "acc_norm_stderr": 0.03427175559062365, "mc1": 0.24112607099143207, "mc1_stderr": 0.014974827279752325, "mc2": 0.3598229176985082, "mc2_stderr": 0.0144824296098062 }, "harness|arc:challenge|25": { "acc": 0.447098976109215, "acc_stderr": 0.01452938016052685, "acc_norm": 0.4658703071672355, "acc_norm_stderr": 0.014577311315231104 }, "harness|hellaswag|10": { "acc": 0.5972913762198765, "acc_stderr": 0.004894407257215806, "acc_norm": 0.7886875124477196, "acc_norm_stderr": 0.004074052113451379 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.25, "acc_stderr": 0.04351941398892446, "acc_norm": 0.25, "acc_norm_stderr": 0.04351941398892446 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.4740740740740741, "acc_stderr": 0.04313531696750574, "acc_norm": 0.4740740740740741, "acc_norm_stderr": 0.04313531696750574 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.23026315789473684, "acc_stderr": 0.03426059424403165, "acc_norm": 0.23026315789473684, "acc_norm_stderr": 0.03426059424403165 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.24, "acc_stderr": 0.04292346959909282, "acc_norm": 0.24, "acc_norm_stderr": 0.04292346959909282 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.3886792452830189, "acc_stderr": 0.03000048544867599, "acc_norm": 0.3886792452830189, "acc_norm_stderr": 0.03000048544867599 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.4097222222222222, "acc_stderr": 0.04112490974670787, "acc_norm": 0.4097222222222222, "acc_norm_stderr": 0.04112490974670787 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.35, "acc_stderr": 0.04793724854411019, "acc_norm": 0.35, "acc_norm_stderr": 0.04793724854411019 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.4, "acc_stderr": 0.049236596391733084, "acc_norm": 0.4, "acc_norm_stderr": 0.049236596391733084 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.3236994219653179, "acc_stderr": 0.0356760379963917, "acc_norm": 0.3236994219653179, "acc_norm_stderr": 0.0356760379963917 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.30392156862745096, "acc_stderr": 0.045766654032077636, "acc_norm": 0.30392156862745096, "acc_norm_stderr": 0.045766654032077636 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.43, "acc_stderr": 0.049756985195624284, "acc_norm": 0.43, "acc_norm_stderr": 0.049756985195624284 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.3617021276595745, "acc_stderr": 0.0314108219759624, "acc_norm": 0.3617021276595745, "acc_norm_stderr": 0.0314108219759624 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.32456140350877194, "acc_stderr": 0.04404556157374767, "acc_norm": 0.32456140350877194, "acc_norm_stderr": 0.04404556157374767 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.41379310344827586, "acc_stderr": 0.041042692118062316, "acc_norm": 0.41379310344827586, "acc_norm_stderr": 0.041042692118062316 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.30158730158730157, "acc_stderr": 0.0236369759961018, "acc_norm": 0.30158730158730157, "acc_norm_stderr": 0.0236369759961018 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.24603174603174602, "acc_stderr": 0.03852273364924316, "acc_norm": 0.24603174603174602, "acc_norm_stderr": 0.03852273364924316 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.3193548387096774, "acc_stderr": 0.02652270967466777, "acc_norm": 0.3193548387096774, "acc_norm_stderr": 0.02652270967466777 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.32019704433497537, "acc_stderr": 0.032826493853041504, "acc_norm": 0.32019704433497537, "acc_norm_stderr": 0.032826493853041504 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.36, "acc_stderr": 0.04824181513244218, "acc_norm": 0.36, "acc_norm_stderr": 0.04824181513244218 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.44242424242424244, "acc_stderr": 0.038783721137112745, "acc_norm": 0.44242424242424244, "acc_norm_stderr": 0.038783721137112745 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.41414141414141414, "acc_stderr": 0.03509438348879629, "acc_norm": 0.41414141414141414, "acc_norm_stderr": 0.03509438348879629 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.3316062176165803, "acc_stderr": 0.03397636541089117, "acc_norm": 0.3316062176165803, "acc_norm_stderr": 0.03397636541089117 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.28974358974358977, "acc_stderr": 0.023000628243687957, "acc_norm": 0.28974358974358977, "acc_norm_stderr": 0.023000628243687957 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.2740740740740741, "acc_stderr": 0.0271959348040