open-llm-leaderboard-old/details_h4rz3rk4s3__TinyPoliticaLlama-1.1B

该数据集是在评估模型h4rz3rk4s3/TinyPoliticaLlama-1.1B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，且最新的结果存储在train分割中。此外，数据集还包含一个名为results的配置，用于存储所有运行的聚合结果，并在Open LLM Leaderboard上显示。README还提供了如何加载数据集的具体代码示例，并列出了最新的评估结果。

原始信息汇总

数据集概述

数据集名称

• 名称: Evaluation run of h4rz3rk4s3/TinyPoliticaLlama-1.1B

数据集来源

• 创建背景: 该数据集是在评估模型 h4rz3rk4s3/TinyPoliticaLlama-1.1B 在 Open LLM Leaderboard 上的自动创建的。

数据集结构

• 配置数量: 该数据集包含 63 个配置，每个配置对应一个评估任务。
• 数据来源: 数据集从 1 次运行中创建。每个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。
• 额外配置: 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

• 加载方法: python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_h4rz3rk4s3__TinyPoliticaLlama-1.1B", "harness_winogrande_5", split="train")

最新结果

• 最新结果时间戳: 2024-03-09T20:58:23.188763
• 结果示例: python { "all": { "acc": 0.2592181333001868, "acc_stderr": 0.030987518923392604, "acc_norm": 0.26142713275875756, "acc_norm_stderr": 0.031810688522865525, "mc1": 0.21542227662178703, "mc1_stderr": 0.014391902652427688, "mc2": 0.3805985213573371, "mc2_stderr": 0.01395025708087029 }, "harness|arc:challenge|25": { "acc": 0.295221843003413, "acc_stderr": 0.013329750293382316, "acc_norm": 0.3378839590443686, "acc_norm_stderr": 0.013822047922283514 }, "harness|hellaswag|10": { "acc": 0.4320852419836686, "acc_stderr": 0.0049435372423444176, "acc_norm": 0.5782712607050389, "acc_norm_stderr": 0.004928263494616739 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.17777777777777778, "acc_stderr": 0.033027898599017176, "acc_norm": 0.17777777777777778, "acc_norm_stderr": 0.033027898599017176 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.17763157894736842, "acc_stderr": 0.031103182383123408, "acc_norm": 0.17763157894736842, "acc_norm_stderr": 0.031103182383123408 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.2528301886792453, "acc_stderr": 0.02674989977124123, "acc_norm": 0.2528301886792453, "acc_norm_stderr": 0.02674989977124123 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.2777777777777778, "acc_stderr": 0.037455547914624555, "acc_norm": 0.2777777777777778, "acc_norm_stderr": 0.037455547914624555 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.25, "acc_stderr": 0.04351941398892446, "acc_norm": 0.25, "acc_norm_stderr": 0.04351941398892446 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.28, "acc_stderr": 0.04512608598542127, "acc_norm": 0.28, "acc_norm_stderr": 0.04512608598542127 }, "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": 0.2543352601156069, "acc_stderr": 0.0332055644308557, "acc_norm": 0.2543352601156069, "acc_norm_stderr": 0.0332055644308557 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.27450980392156865, "acc_stderr": 0.044405219061793275, "acc_norm": 0.27450980392156865, "acc_norm_stderr": 0.044405219061793275 }, "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": 0.2, "acc_stderr": 0.026148818018424495, "acc_norm": 0.2, "acc_norm_stderr": 0.026148818018424495 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.20175438596491227, "acc_stderr": 0.037752050135836386, "acc_norm": 0.20175438596491227, "acc_norm_stderr": 0.037752050135836386 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.25517241379310346, "acc_stderr": 0.03632984052707842, "acc_norm": 0.25517241379310346, "acc_norm_stderr": 0.03632984052707842 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.24867724867724866, "acc_stderr": 0.022261817692400168, "acc_norm": 0.24867724867724866, "acc_norm_stderr": 0.022261817692400168 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.30952380952380953, "acc_stderr": 0.04134913018303316, "acc_norm": 0.30952380952380953, "acc_norm_stderr": 0.04134913018303316 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.32, "acc_stderr": 0.04688261722621505, "acc_norm": 0.32, "acc_norm_stderr": 0.04688261722621505 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.1935483870967742, "acc_stderr": 0.02247525852553606, "acc_norm": 0.1935483870967742, "acc_norm_stderr": 0.02247525852553606 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.18719211822660098, "acc_stderr": 0.027444924966882618, "acc_norm": 0.18719211822660098, "acc_norm_stderr": 0.027444924966882618 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.27, "acc_stderr": 0.0446196043338474, "acc_norm": 0.27, "acc_norm_stderr": 0.0446196043338474 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.24242424242424243, "acc_stderr": 0.03346409881055953, "acc_norm": 0.24242424242424243, "acc_norm_stderr": 0.03346409881055953 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.18686868686868688, "acc_stderr": 0.027772533334218977, "acc_norm": 0.18686868686868688, "acc_norm_stderr": 0.027772533334218977 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.19689119170984457, "acc_stderr": 0.028697873971860657, "acc_norm": 0.19689119170984457, "acc_norm_stderr": 0.028697873971860657 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.2948717948717949, "acc_stderr": 0.02311936275823229, "acc_norm": 0.2948717948717949, "acc_norm_stderr": 0.02311936275823229 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.2777777777777778, "acc_stderr": 0.027309140588230193, "acc_norm": 0.277777777777777