open-llm-leaderboard-old/details_Deathsquad10__TinyLlama-1.1B-Remix-V.2

该数据集是在评估模型Deathsquad10/TinyLlama-1.1B-Remix-V.2时自动创建的，主要用于在Open LLM Leaderboard上进行评估。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，还有一个名为results的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 Deathsquad10/TinyLlama-1.1B-Remix-V.2 进行评估运行期间自动创建的，用于 Open LLM Leaderboard。

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。
• 运行次数：数据集从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。
• 分割：每个配置包含多个分割，其中“train”分割始终指向最新的结果。
• 额外配置：一个名为“results”的额外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_Deathsquad10__TinyLlama-1.1B-Remix-V.2", "harness_winogrande_5", split="train")

最新结果

以下是 2024-01-05T14:09:04.143664 运行的最新结果：

python { "all": { "acc": 0.26429787979631164, "acc_stderr": 0.031085584449339877, "acc_norm": 0.2663316679650246, "acc_norm_stderr": 0.031867914550128766, "mc1": 0.204406364749082, "mc1_stderr": 0.01411717433743261, "mc2": 0.34643256618777796, "mc2_stderr": 0.01387748248118174 }, "harness|arc:challenge|25": { "acc": 0.2935153583617747, "acc_stderr": 0.013307250444941118, "acc_norm": 0.3319112627986348, "acc_norm_stderr": 0.013760988200880536 }, "harness|hellaswag|10": { "acc": 0.42322246564429394, "acc_stderr": 0.0049306030615906445, "acc_norm": 0.5662218681537542, "acc_norm_stderr": 0.004945824056501808 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.26, "acc_stderr": 0.04408440022768081, "acc_norm": 0.26, "acc_norm_stderr": 0.04408440022768081 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.32592592592592595, "acc_stderr": 0.040491220417025055, "acc_norm": 0.32592592592592595, "acc_norm_stderr": 0.040491220417025055 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.2236842105263158, "acc_stderr": 0.03391160934343604, "acc_norm": 0.2236842105263158, "acc_norm_stderr": 0.03391160934343604 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.26, "acc_stderr": 0.04408440022768078, "acc_norm": 0.26, "acc_norm_stderr": 0.04408440022768078 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.26037735849056604, "acc_stderr": 0.027008766090708094, "acc_norm": 0.26037735849056604, "acc_norm_stderr": 0.027008766090708094 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.2638888888888889, "acc_stderr": 0.03685651095897532, "acc_norm": 0.2638888888888889, "acc_norm_stderr": 0.03685651095897532 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.18, "acc_stderr": 0.038612291966536955, "acc_norm": 0.18, "acc_norm_stderr": 0.038612291966536955 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.25, "acc_stderr": 0.04351941398892446, "acc_norm": 0.25, "acc_norm_stderr": 0.04351941398892446 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.26, "acc_stderr": 0.044084400227680794, "acc_norm": 0.26, "acc_norm_stderr": 0.044084400227680794 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.24277456647398843, "acc_stderr": 0.0326926380614177, "acc_norm": 0.24277456647398843, "acc_norm_stderr": 0.0326926380614177 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.1568627450980392, "acc_stderr": 0.036186648199362466, "acc_norm": 0.1568627450980392, "acc_norm_stderr": 0.036186648199362466 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.23, "acc_stderr": 0.04229525846816508, "acc_norm": 0.23, "acc_norm_stderr": 0.04229525846816508 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.3148936170212766, "acc_stderr": 0.03036358219723816, "acc_norm": 0.3148936170212766, "acc_norm_stderr": 0.03036358219723816 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2807017543859649, "acc_stderr": 0.042270544512321984, "acc_norm": 0.2807017543859649, "acc_norm_stderr": 0.042270544512321984 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.22758620689655173, "acc_stderr": 0.03493950380131184, "acc_norm": 0.22758620689655173, "acc_norm_stderr": 0.03493950380131184 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.2698412698412698, "acc_stderr": 0.022860838309232072, "acc_norm": 0.2698412698412698, "acc_norm_stderr": 0.022860838309232072 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.1746031746031746, "acc_stderr": 0.03395490020856113, "acc_norm": 0.1746031746031746, "acc_norm_stderr": 0.03395490020856113 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.35, "acc_stderr": 0.047937248544110196, "acc_norm": 0.35, "acc_norm_stderr": 0.047937248544110196 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.2645161290322581, "acc_stderr": 0.02509189237885928, "acc_norm": 0.2645161290322581, "acc_norm_stderr": 0.02509189237885928 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.28078817733990147, "acc_stderr": 0.031618563353586114, "acc_norm": 0.28078817733990147, "acc_norm_stderr": 0.031618563353586114 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.26666666666666666, "acc_stderr": 0.03453131801885416, "acc_norm": 0.26666666666666666, "acc_norm_stderr": 0.03453131801885416 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.19696969696969696, "acc_stderr": 0.02833560973246335, "acc_norm": 0.19696969696969696, "acc_norm_stderr": 0.02833560973246335 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.21761658031088082, "acc_stderr": 0.029778663037752954, "acc_norm": 0.21761658031088082, "acc_norm_stderr": 0.029778663037752954 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.258974358974359, "acc_stderr": 0.02221110681006165, "acc_norm": 0.258974358974359, "acc_norm_stderr": 0.02221110681006165 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.26666666666666666