open-llm-leaderboard-old/details_Josephgflowers__Tinyllama-Cinder-1.3B-Reason-Test

该数据集是在模型Josephgflowers/Tinyllama-Cinder-1.3B-Reason-Test的评估运行期间自动创建的，用于在Open LLM Leaderboard上进行评估。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。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

该数据集是在模型Josephgflowers/Tinyllama-Cinder-1.3B-Reason-Test的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。
• 数据来源：数据集由1次运行创建，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。
• 特殊配置：额外配置“results”存储所有运行的聚合结果，用于计算和显示聚合指标。

数据加载示例

python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_Josephgflowers__Tinyllama-Cinder-1.3B-Reason-Test", "harness_winogrande_5", split="train")

最新结果

以下是2024-01-27T15:54:58.174726运行的最新结果：

python { "all": { "acc": 0.26450885901052124, "acc_stderr": 0.03098961228348979, "acc_norm": 0.26489263121427853, "acc_norm_stderr": 0.03171772704926436, "mc1": 0.24724602203182375, "mc1_stderr": 0.015102404797359652, "mc2": 0.3993354739350842, "mc2_stderr": 0.014444430905737174 }, "harness|arc:challenge|25": { "acc": 0.30631399317406144, "acc_stderr": 0.013470584417276513, "acc_norm": 0.3455631399317406, "acc_norm_stderr": 0.013896938461145682 }, "harness|hellaswag|10": { "acc": 0.44015136427006574, "acc_stderr": 0.004953907062096603, "acc_norm": 0.5823541127265485, "acc_norm_stderr": 0.004921632645102376 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.27, "acc_stderr": 0.04461960433384741, "acc_norm": 0.27, "acc_norm_stderr": 0.04461960433384741 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.18518518518518517, "acc_stderr": 0.03355677216313142, "acc_norm": 0.18518518518518517, "acc_norm_stderr": 0.03355677216313142 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.16447368421052633, "acc_stderr": 0.030167533468632688, "acc_norm": 0.16447368421052633, "acc_norm_stderr": 0.030167533468632688 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.26, "acc_stderr": 0.044084400227680794, "acc_norm": 0.26, "acc_norm_stderr": 0.044084400227680794 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.23773584905660378, "acc_stderr": 0.0261998088075619, "acc_norm": 0.23773584905660378, "acc_norm_stderr": 0.0261998088075619 }, "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": 0.29, "acc_stderr": 0.045604802157206845, "acc_norm": 0.29, "acc_norm_stderr": 0.045604802157206845 }, "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": 0.34, "acc_stderr": 0.04760952285695236, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695236 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.23121387283236994, "acc_stderr": 0.03214737302029469, "acc_norm": 0.23121387283236994, "acc_norm_stderr": 0.03214737302029469 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.18627450980392157, "acc_stderr": 0.03873958714149352, "acc_norm": 0.18627450980392157, "acc_norm_stderr": 0.03873958714149352 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.26, "acc_stderr": 0.04408440022768077, "acc_norm": 0.26, "acc_norm_stderr": 0.04408440022768077 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.2978723404255319, "acc_stderr": 0.02989614568209546, "acc_norm": 0.2978723404255319, "acc_norm_stderr": 0.02989614568209546 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2543859649122807, "acc_stderr": 0.04096985139843671, "acc_norm": 0.2543859649122807, "acc_norm_stderr": 0.04096985139843671 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.2482758620689655, "acc_stderr": 0.03600105692727771, "acc_norm": 0.2482758620689655, "acc_norm_stderr": 0.03600105692727771 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.2857142857142857, "acc_stderr": 0.023266512213730575, "acc_norm": 0.2857142857142857, "acc_norm_stderr": 0.023266512213730575 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.29365079365079366, "acc_stderr": 0.04073524322147126, "acc_norm": 0.29365079365079366, "acc_norm_stderr": 0.04073524322147126 }, "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": 0.2838709677419355, "acc_stderr": 0.025649381063029265, "acc_norm": 0.2838709677419355, "acc_norm_stderr": 0.025649381063029265 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.26108374384236455, "acc_stderr": 0.030903796952114475, "acc_norm": 0.26108374384236455, "acc_norm_stderr": 0.030903796952114475 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.2, "acc_stderr": 0.04020151261036845, "acc_norm": 0.2, "acc_norm_stderr": 0.04020151261036845 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.24848484848484848, "acc_stderr": 0.03374402644139404, "acc_norm": 0.24848484848484848, "acc_norm_stderr": 0.03374402644139404 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.21717171717171718, "acc_stderr": 0.029376616484945637, "acc_norm": 0.21717171717171718, "acc_norm_stderr": 0.029376616484945637 }, "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": 0.33076923076923076, "acc_stderr": 0.023854795680971135, "acc_norm": 0.33076923076923076, "acc_norm_stderr": 0.023854795680971135 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.2074074074074074, "acc_stderr": 0.02472071319395216, "acc_norm": 0.2074074074074074, "acc_norm_stderr": 0.02472071319395216 }, "harness|hendrycksTest-