open-llm-leaderboard-old/details_BFauber__opt350m_10e6

该数据集是在模型BFauber/opt350m_10e6的评估运行期间自动创建的，用于Open LLM Leaderboard的评估。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，每次运行可以在每个配置的特定分割中找到，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

该数据集是在对模型 BFauber/opt350m_10e6 进行评估运行期间自动创建的，用于 Open LLM Leaderboard。

数据集结构

• 数据集包含 63 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。
• 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_BFauber__opt350m_10e6", "harness_winogrande_5", split="train")

最新结果

以下是 2024-02-02T18:07:15.412777 运行 的最新结果：

python { "all": { "acc": 0.24971009497879715, "acc_stderr": 0.030551769349442866, "acc_norm": 0.2506832642322296, "acc_norm_stderr": 0.031358540628084804, "mc1": 0.23133414932680538, "mc1_stderr": 0.014761945174862666, "mc2": 0.4671195481529295, "mc2_stderr": 0.015802968745785427 }, "harness|arc:challenge|25": { "acc": 0.22013651877133106, "acc_stderr": 0.01210812488346098, "acc_norm": 0.23976109215017063, "acc_norm_stderr": 0.012476304127453956 }, "harness|hellaswag|10": { "acc": 0.2817167894841665, "acc_stderr": 0.004489166767430648, "acc_norm": 0.3236407090221072, "acc_norm_stderr": 0.004669085411342183 }, "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": 0.34074074074074073, "acc_stderr": 0.04094376269996794, "acc_norm": 0.34074074074074073, "acc_norm_stderr": 0.04094376269996794 }, "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": 0.23, "acc_stderr": 0.04229525846816505, "acc_norm": 0.23, "acc_norm_stderr": 0.04229525846816505 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.21509433962264152, "acc_stderr": 0.025288394502891363, "acc_norm": 0.21509433962264152, "acc_norm_stderr": 0.025288394502891363 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.25, "acc_stderr": 0.03621034121889507, "acc_norm": 0.25, "acc_norm_stderr": 0.03621034121889507 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.16, "acc_stderr": 0.03684529491774708, "acc_norm": 0.16, "acc_norm_stderr": 0.03684529491774708 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.29, "acc_stderr": 0.045604802157206845, "acc_norm": 0.29, "acc_norm_stderr": 0.045604802157206845 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.27, "acc_stderr": 0.04461960433384741, "acc_norm": 0.27, "acc_norm_stderr": 0.04461960433384741 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.20809248554913296, "acc_stderr": 0.030952890217749884, "acc_norm": 0.20809248554913296, "acc_norm_stderr": 0.030952890217749884 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.19607843137254902, "acc_stderr": 0.03950581861179964, "acc_norm": 0.19607843137254902, "acc_norm_stderr": 0.03950581861179964 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.29, "acc_stderr": 0.045604802157206845, "acc_norm": 0.29, "acc_norm_stderr": 0.045604802157206845 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.20851063829787234, "acc_stderr": 0.02655698211783873, "acc_norm": 0.20851063829787234, "acc_norm_stderr": 0.02655698211783873 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.23684210526315788, "acc_stderr": 0.03999423879281336, "acc_norm": 0.23684210526315788, "acc_norm_stderr": 0.03999423879281336 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.30344827586206896, "acc_stderr": 0.038312260488503336, "acc_norm": 0.30344827586206896, "acc_norm_stderr": 0.038312260488503336 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.21693121693121692, "acc_stderr": 0.021227082449445062, "acc_norm": 0.21693121693121692, "acc_norm_stderr": 0.021227082449445062 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.15079365079365079, "acc_stderr": 0.03200686497287392, "acc_norm": 0.15079365079365079, "acc_norm_stderr": 0.03200686497287392 }, "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": 0.23225806451612904, "acc_stderr": 0.024022256130308235, "acc_norm": 0.23225806451612904, "acc_norm_stderr": 0.024022256130308235 }, "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": 0.33, "acc_stderr": 0.047258156262526045, "acc_norm": 0.33, "acc_norm_stderr": 0.047258156262526045 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.2606060606060606, "acc_stderr": 0.03427743175816524, "acc_norm": 0.2606060606060606, "acc_norm_stderr": 0.03427743175816524 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.2676767676767677, "acc_stderr": 0.03154449888270285, "acc_norm": 0.2676767676767677, "acc_norm_stderr": 0.03154449888270285 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.3160621761658031, "acc_stderr": 0.033553973696861736, "acc_norm": 0.3160621761658031, "acc_norm_stderr": 0.033553973696861736 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.2, "acc_stderr": 0.020280805062535722, "acc_norm": 0.2, "acc_norm_stderr": 0.020280805062535722 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.2074074074074074, "acc_stderr": 0.02472071319395216, "acc_norm": 0.2074074074074074, "acc_norm_stderr": 0.02472071319395216 },