open-llm-leaderboard/details_Josephgflowers__Tinyllama-1.5B-Cinder-Test-3

该数据集是在Open LLM Leaderboard上对模型Josephgflowers/Tinyllama-1.5B-Cinder-Test-3进行评估时自动创建的。数据集由63个配置组成，每个配置对应一个评估任务。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，运行的时间戳作为分割的名称。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，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

该数据集是在评估模型 Josephgflowers/Tinyllama-1.5B-Cinder-Test-3 的过程中自动创建的，用于 Open LLM Leaderboard 的评估。

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：数据集由1次运行创建。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 timestamp。
• 最新结果："train" 分割始终指向最新的结果。
• 结果汇总：一个额外的配置 "results" 存储所有运行的汇总结果，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_Josephgflowers__Tinyllama-1.5B-Cinder-Test-3", "harness_winogrande_5", split="train")

最新结果

以下是 2024-04-06T01:31:35.404553 运行的最新结果：

python { "all": { "acc": 0.26536226239740945, "acc_stderr": 0.03103275044979969, "acc_norm": 0.2669387643766061, "acc_norm_stderr": 0.031857259147323326, "mc1": 0.2423500611995104, "mc1_stderr": 0.015000674373570342, "mc2": 0.40411656292859327, "mc2_stderr": 0.014481821182257281 }, "harness|arc:challenge|25": { "acc": 0.31399317406143346, "acc_stderr": 0.013562691224726286, "acc_norm": 0.3447098976109215, "acc_norm_stderr": 0.013888816286782112 }, "harness|hellaswag|10": { "acc": 0.3994224258115913, "acc_stderr": 0.004887787255353487, "acc_norm": 0.5166301533559052, "acc_norm_stderr": 0.004987020679861266 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.25, "acc_stderr": 0.04351941398892446, "acc_norm": 0.25, "acc_norm_stderr": 0.04351941398892446 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.26666666666666666, "acc_stderr": 0.03820169914517904, "acc_norm": 0.26666666666666666, "acc_norm_stderr": 0.03820169914517904 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.21710526315789475, "acc_stderr": 0.03355045304882921, "acc_norm": 0.21710526315789475, "acc_norm_stderr": 0.03355045304882921 }, "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": 0.23018867924528302, "acc_stderr": 0.025907897122408173, "acc_norm": 0.23018867924528302, "acc_norm_stderr": 0.025907897122408173 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.2708333333333333, "acc_stderr": 0.03716177437566017, "acc_norm": 0.2708333333333333, "acc_norm_stderr": 0.03716177437566017 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.2, "acc_stderr": 0.04020151261036846, "acc_norm": 0.2, "acc_norm_stderr": 0.04020151261036846 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.2, "acc_stderr": 0.04020151261036845, "acc_norm": 0.2, "acc_norm_stderr": 0.04020151261036845 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.20809248554913296, "acc_stderr": 0.0309528902177499, "acc_norm": 0.20809248554913296, "acc_norm_stderr": 0.0309528902177499 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.19607843137254902, "acc_stderr": 0.03950581861179962, "acc_norm": 0.19607843137254902, "acc_norm_stderr": 0.03950581861179962 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.21, "acc_stderr": 0.04093601807403326, "acc_norm": 0.21, "acc_norm_stderr": 0.04093601807403326 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.24680851063829787, "acc_stderr": 0.028185441301234116, "acc_norm": 0.24680851063829787, "acc_norm_stderr": 0.028185441301234116 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.24561403508771928, "acc_stderr": 0.04049339297748141, "acc_norm": 0.24561403508771928, "acc_norm_stderr": 0.04049339297748141 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.22758620689655173, "acc_stderr": 0.03493950380131183, "acc_norm": 0.22758620689655173, "acc_norm_stderr": 0.03493950380131183 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.2566137566137566, "acc_stderr": 0.022494510767503154, "acc_norm": 0.2566137566137566, "acc_norm_stderr": 0.022494510767503154 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.2222222222222222, "acc_stderr": 0.03718489006818115, "acc_norm": 0.2222222222222222, "acc_norm_stderr": 0.03718489006818115 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.3064516129032258, "acc_stderr": 0.026226485652553873, "acc_norm": 0.3064516129032258, "acc_norm_stderr": 0.026226485652553873 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.2660098522167488, "acc_stderr": 0.03108982600293752, "acc_norm": 0.2660098522167488, "acc_norm_stderr": 0.03108982600293752 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.24, "acc_stderr": 0.04292346959909282, "acc_norm": 0.24, "acc_norm_stderr": 0.04292346959909282 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.2606060606060606, "acc_stderr": 0.034277431758165236, "acc_norm": 0.2606060606060606, "acc_norm_stderr": 0.034277431758165236 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.24242424242424243, "acc_stderr": 0.030532892233932036, "acc_norm": 0.24242424242424243, "acc_norm_stderr": 0.030532892233932036 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.2694300518134715, "acc_stderr": 0.03201867122877794, "acc_norm": 0.2694300518134715, "acc_norm_stderr": 0.03201867122877794 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.2846153846153846, "acc_stderr": 0.02287832279970628, "acc_norm": 0.2846153846153846, "acc_norm_stderr": 0.02287832279970628 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.2740740740740741, "acc_stderr": 0.0271959348