open-llm-leaderboard-old/details_vicgalle__OpenHermes-Gemma-2B

该数据集是在评估模型vicgalle/OpenHermes-Gemma-2B时自动创建的，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，每次运行的结果存储为特定的分割，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

数据集简介

该数据集是在对模型 vicgalle/OpenHermes-Gemma-2B 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，每次运行的详细信息可以在每个配置中找到，以运行的时间戳命名的特定分片形式存储。
• 每个配置中的 "train" 分片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_vicgalle__OpenHermes-Gemma-2B", "harness_winogrande_5", split="train")

最新结果

以下是 2024-03-01T01:29:12.773487 运行的最新结果：

python { "all": { "acc": 0.3815454988895058, "acc_stderr": 0.03415164278877812, "acc_norm": 0.3844943418441821, "acc_norm_stderr": 0.0349216871018852, "mc1": 0.26193390452876375, "mc1_stderr": 0.015392118805015027, "mc2": 0.416856831067088, "mc2_stderr": 0.014988851670951587 }, "harness|arc:challenge|25": { "acc": 0.47952218430034127, "acc_stderr": 0.014599131353035009, "acc_norm": 0.4931740614334471, "acc_norm_stderr": 0.014610029151379813 }, "harness|hellaswag|10": { "acc": 0.5528779127663812, "acc_stderr": 0.004961799358836435, "acc_norm": 0.7225652260505875, "acc_norm_stderr": 0.0044681782736656645 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.43703703703703706, "acc_stderr": 0.04284958639753399, "acc_norm": 0.43703703703703706, "acc_norm_stderr": 0.04284958639753399 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.3815789473684211, "acc_stderr": 0.03953173377749194, "acc_norm": 0.3815789473684211, "acc_norm_stderr": 0.03953173377749194 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.37, "acc_stderr": 0.048523658709391, "acc_norm": 0.37, "acc_norm_stderr": 0.048523658709391 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.39622641509433965, "acc_stderr": 0.03010279378179119, "acc_norm": 0.39622641509433965, "acc_norm_stderr": 0.03010279378179119 }, "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": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.39, "acc_stderr": 0.04902071300001975, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001975 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.3236994219653179, "acc_stderr": 0.035676037996391685, "acc_norm": 0.3236994219653179, "acc_norm_stderr": 0.035676037996391685 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.21568627450980393, "acc_stderr": 0.04092563958237655, "acc_norm": 0.21568627450980393, "acc_norm_stderr": 0.04092563958237655 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.47, "acc_stderr": 0.050161355804659205, "acc_norm": 0.47, "acc_norm_stderr": 0.050161355804659205 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.3446808510638298, "acc_stderr": 0.03106898596312215, "acc_norm": 0.3446808510638298, "acc_norm_stderr": 0.03106898596312215 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2807017543859649, "acc_stderr": 0.042270544512322004, "acc_norm": 0.2807017543859649, "acc_norm_stderr": 0.042270544512322004 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.38620689655172413, "acc_stderr": 0.04057324734419035, "acc_norm": 0.38620689655172413, "acc_norm_stderr": 0.04057324734419035 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.26455026455026454, "acc_stderr": 0.022717467897708628, "acc_norm": 0.26455026455026454, "acc_norm_stderr": 0.022717467897708628 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.3492063492063492, "acc_stderr": 0.04263906892795131, "acc_norm": 0.3492063492063492, "acc_norm_stderr": 0.04263906892795131 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.29, "acc_stderr": 0.045604802157206845, "acc_norm": 0.29, "acc_norm_stderr": 0.045604802157206845 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.36451612903225805, "acc_stderr": 0.02737987122994325, "acc_norm": 0.36451612903225805, "acc_norm_stderr": 0.02737987122994325 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.27586206896551724, "acc_stderr": 0.03144712581678241, "acc_norm": 0.27586206896551724, "acc_norm_stderr": 0.03144712581678241 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.38, "acc_stderr": 0.04878317312145632, "acc_norm": 0.38, "acc_norm_stderr": 0.04878317312145632 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.46060606060606063, "acc_stderr": 0.03892207016552012, "acc_norm": 0.46060606060606063, "acc_norm_stderr": 0.03892207016552012 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.3686868686868687, "acc_stderr": 0.034373055019806184, "acc_norm": 0.3686868686868687, "acc_norm_stderr": 0.034373055019806184 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.41450777202072536, "acc_stderr": 0.03555300319557673, "acc_norm": 0.41450777202072536, "acc_norm_stderr": 0.03555300319557673 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.34102564102564104, "acc_stderr": 0.02403548967633506, "acc_norm": 0.34102564102564104, "acc_norm_stderr": 0.02403548967633506 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.2777777777777778, "acc_stderr": 0.027309140588230175, "acc_norm": 0.277777