open-llm-leaderboard-old/details_KnutJaegersberg__Qwen-1_8b-EverythingLM

该数据集是在模型KnutJaegersberg/Qwen-1_8b-EverythingLM在Open LLM Leaderboard上的评估运行过程中自动创建的。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

数据集摘要

该数据集是在对模型 KnutJaegersberg/Qwen-1_8b-EverythingLM 进行评估运行期间自动创建的，用于 Open LLM Leaderboard。

数据集组成

• 该数据集包含 63 个配置，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。
• 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

python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_KnutJaegersberg__Qwen-1_8b-EverythingLM", "harness_winogrande_5", split="train")

最新结果

以下是 2024-01-20T05:24:42.561432 运行的最新结果： python { "all": { "acc": 0.4452420564139058, "acc_stderr": 0.034654847367197227, "acc_norm": 0.45130700872767276, "acc_norm_stderr": 0.03544153323888102, "mc1": 0.23745410036719705, "mc1_stderr": 0.014896277441041843, "mc2": 0.3870197968922305, "mc2_stderr": 0.015286933466885854 }, "harness|arc:challenge|25": { "acc": 0.35238907849829354, "acc_stderr": 0.013960142600598678, "acc_norm": 0.386518771331058, "acc_norm_stderr": 0.01423008476191048 }, "harness|hellaswag|10": { "acc": 0.4763991236805417, "acc_stderr": 0.00498421968173266, "acc_norm": 0.6265684126667994, "acc_norm_stderr": 0.004827266662144033 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.35, "acc_stderr": 0.0479372485441102, "acc_norm": 0.35, "acc_norm_stderr": 0.0479372485441102 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.45185185185185184, "acc_stderr": 0.04299268905480863, "acc_norm": 0.45185185185185184, "acc_norm_stderr": 0.04299268905480863 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.4144736842105263, "acc_stderr": 0.040089737857792046, "acc_norm": 0.4144736842105263, "acc_norm_stderr": 0.040089737857792046 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.49, "acc_stderr": 0.05024183937956912, "acc_norm": 0.49, "acc_norm_stderr": 0.05024183937956912 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.5056603773584906, "acc_stderr": 0.030770900763851302, "acc_norm": 0.5056603773584906, "acc_norm_stderr": 0.030770900763851302 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.4027777777777778, "acc_stderr": 0.041014055198424264, "acc_norm": 0.4027777777777778, "acc_norm_stderr": 0.041014055198424264 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.38, "acc_stderr": 0.04878317312145632, "acc_norm": 0.38, "acc_norm_stderr": 0.04878317312145632 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.27, "acc_stderr": 0.044619604333847394, "acc_norm": 0.27, "acc_norm_stderr": 0.044619604333847394 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.3872832369942196, "acc_stderr": 0.037143259063020656, "acc_norm": 0.3872832369942196, "acc_norm_stderr": 0.037143259063020656 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.28431372549019607, "acc_stderr": 0.04488482852329017, "acc_norm": 0.28431372549019607, "acc_norm_stderr": 0.04488482852329017 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.54, "acc_stderr": 0.05009082659620333, "acc_norm": 0.54, "acc_norm_stderr": 0.05009082659620333 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.42127659574468085, "acc_stderr": 0.03227834510146267, "acc_norm": 0.42127659574468085, "acc_norm_stderr": 0.03227834510146267 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.34210526315789475, "acc_stderr": 0.04462917535336936, "acc_norm": 0.34210526315789475, "acc_norm_stderr": 0.04462917535336936 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5103448275862069, "acc_stderr": 0.04165774775728763, "acc_norm": 0.5103448275862069, "acc_norm_stderr": 0.04165774775728763 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.2804232804232804, "acc_stderr": 0.023135287974325628, "acc_norm": 0.2804232804232804, "acc_norm_stderr": 0.023135287974325628 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.23809523809523808, "acc_stderr": 0.038095238095238106, "acc_norm": 0.23809523809523808, "acc_norm_stderr": 0.038095238095238106 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.37, "acc_stderr": 0.048523658709391, "acc_norm": 0.37, "acc_norm_stderr": 0.048523658709391 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.532258064516129, "acc_stderr": 0.028384747788813332, "acc_norm": 0.532258064516129, "acc_norm_stderr": 0.028384747788813332 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.39901477832512317, "acc_stderr": 0.03445487686264715, "acc_norm": 0.39901477832512317, "acc_norm_stderr": 0.03445487686264715 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.43, "acc_stderr": 0.04975698519562428, "acc_norm": 0.43, "acc_norm_stderr": 0.04975698519562428 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.593939393939394, "acc_stderr": 0.03834816355401181, "acc_norm": 0.593939393939394, "acc_norm_stderr": 0.03834816355401181 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.51010101010101, "acc_stderr": 0.035616254886737454, "acc_norm": 0.51010101010101, "acc_norm_stderr": 0.035616254886737454 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.5647668393782384, "acc_stderr": 0.035780381650085846, "acc_norm": 0.5647668393782384, "acc_norm_stderr": 0.035780381650085846 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.3769230769230769, "acc_stderr": 0.024570975364225995, "acc_norm": 0.3769230769230769, "acc_norm_stderr": 0.024570975364225995 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.31851851851851853, "acc_stderr": 0.02840653309060846, "acc_norm": 0.3185185