open-llm-leaderboard-old/details_remyxai__localmentor_25K_3epochs_tinyllama

该数据集是在模型remyxai/localmentor_25K_3epochs_tinyllama在Open LLM排行榜上评估运行期间自动创建的。数据集由63个配置组成，每个配置对应一个评估任务。每个配置包含特定分割，这些分割以运行的时间戳命名，其中train分割始终指向最新的结果。此外，还有一个名为results的附加配置，存储了运行中的所有聚合结果，并用于在排行榜上计算和显示聚合指标。数据集还详细记录了各种任务及其相应的准确率和误差率。

原始信息汇总

数据集概述

数据集简介

该数据集是在评估模型remyxai/localmentor_25K_3epochs_tinyllama在Open LLM Leaderboard上的自动创建的。

数据集结构

• 配置数量：63个配置，每个配置对应一个评估任务。
• 创建来源：从1次运行中创建。每个运行在每个配置中作为一个特定的分割存在，分割名称使用运行的时间戳。"train"分割始终指向最新的结果。
• 额外配置："results"配置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_remyxai__localmentor_25K_3epochs_tinyllama", "harness_winogrande_5", split="train")

最新结果

以下是2024-01-07T22:25:15.681205的最新结果：

python { "all": { "acc": 0.2554930079258233, "acc_stderr": 0.030536114632474777, "acc_norm": 0.2566564564092015, "acc_norm_stderr": 0.03129471436685104, "mc1": 0.2141982864137087, "mc1_stderr": 0.014362148155690469, "mc2": 0.3606525365860081, "mc2_stderr": 0.013646263392146925 }, "harness|arc:challenge|25": { "acc": 0.31399317406143346, "acc_stderr": 0.013562691224726295, "acc_norm": 0.34215017064846415, "acc_norm_stderr": 0.013864152159177275 }, "harness|hellaswag|10": { "acc": 0.44542919737104164, "acc_stderr": 0.004959973514772512, "acc_norm": 0.5901214897430791, "acc_norm_stderr": 0.004908059353503847 }, "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": 0.17037037037037037, "acc_stderr": 0.03247781185995594, "acc_norm": 0.17037037037037037, "acc_norm_stderr": 0.03247781185995594 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.1513157894736842, "acc_stderr": 0.029162631596843975, "acc_norm": 0.1513157894736842, "acc_norm_stderr": 0.029162631596843975 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.24, "acc_stderr": 0.04292346959909283, "acc_norm": 0.24, "acc_norm_stderr": 0.04292346959909283 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.27169811320754716, "acc_stderr": 0.02737770662467071, "acc_norm": 0.27169811320754716, "acc_norm_stderr": 0.02737770662467071 }, "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": 0.17, "acc_stderr": 0.0377525168068637, "acc_norm": 0.17, "acc_norm_stderr": 0.0377525168068637 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "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": 0.1791907514450867, "acc_stderr": 0.029242513059063287, "acc_norm": 0.1791907514450867, "acc_norm_stderr": 0.029242513059063287 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.22549019607843138, "acc_stderr": 0.04158307533083286, "acc_norm": 0.22549019607843138, "acc_norm_stderr": 0.04158307533083286 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.2, "acc_stderr": 0.040201512610368445, "acc_norm": 0.2, "acc_norm_stderr": 0.040201512610368445 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.2553191489361702, "acc_stderr": 0.02850485647051419, "acc_norm": 0.2553191489361702, "acc_norm_stderr": 0.02850485647051419 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2543859649122807, "acc_stderr": 0.040969851398436716, "acc_norm": 0.2543859649122807, "acc_norm_stderr": 0.040969851398436716 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.1793103448275862, "acc_stderr": 0.03196766433373186, "acc_norm": 0.1793103448275862, "acc_norm_stderr": 0.03196766433373186 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.25396825396825395, "acc_stderr": 0.02241804289111395, "acc_norm": 0.25396825396825395, "acc_norm_stderr": 0.02241804289111395 }, "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": 0.28, "acc_stderr": 0.045126085985421276, "acc_norm": 0.28, "acc_norm_stderr": 0.045126085985421276 }, "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": 0.16748768472906403, "acc_stderr": 0.0262730860475354, "acc_norm": 0.16748768472906403, "acc_norm_stderr": 0.0262730860475354 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.27, "acc_stderr": 0.044619604333847394, "acc_norm": 0.27, "acc_norm_stderr": 0.044619604333847394 }, "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": 0.18181818181818182, "acc_stderr": 0.027479603010538787, "acc_norm": 0.18181818181818182, "acc_norm_stderr": 0.027479603010538787 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.22797927461139897, "acc_stderr": 0.030276909945178263, "acc_norm": 0.22797927461139897, "acc_norm_stderr": 0.030276909945178263 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.2717948717948718, "acc_stderr": 0.022556551010132368, "acc_norm": 0.2717948717948718, "acc_norm_stderr": 0.022556551010132368 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.22962962962962963, "acc_stderr": 0.025644108639267627,