open-llm-leaderboard-old/details_TheBloke__Vicuna-33B-1-3-SuperHOT-8K-fp16

该数据集是在模型TheBloke/Vicuna-33B-1-3-SuperHOT-8K-fp16在Open LLM Leaderboard上的评估运行期间自动创建的。它由61个配置组成，每个配置对应一个被评估的任务。数据集由1次运行创建，每次运行作为每个配置中的一个特定分割，使用运行的时间戳命名。train分割始终指向最新的结果。一个额外的配置results存储了运行的所有聚合结果，用于计算和显示Open LLM Leaderboard上的聚合指标。可以使用`datasets`库中的`load_dataset`函数加载该数据集。

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 TheBloke/Vicuna-33B-1-3-SuperHOT-8K-fp16 进行评估运行时自动创建的，评估结果展示在 Open LLM Leaderboard 上。

数据集组成

• 数据集包含 61 个配置，每个配置对应一个评估任务。
• 数据集由 1 次运行创建，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_TheBloke__Vicuna-33B-1-3-SuperHOT-8K-fp16", "harness_truthfulqa_mc_0", split="train")

最新结果

以下是 2023-07-31T19:04:33.192118 运行的最新结果：

python { "all": { "acc": 0.2367148405069541, "acc_stderr": 0.030958077810881182, "acc_norm": 0.23838963087978138, "acc_norm_stderr": 0.030974710079953026, "mc1": 0.23378212974296206, "mc1_stderr": 0.01481619599193159, "mc2": 0.4693099566156165, "mc2_stderr": 0.01667201792733067 }, "harness|arc:challenge|25": { "acc": 0.21331058020477817, "acc_stderr": 0.011970971742326334, "acc_norm": 0.25426621160409557, "acc_norm_stderr": 0.012724999945157744 }, "harness|hellaswag|10": { "acc": 0.28828918542123083, "acc_stderr": 0.00452040633108404, "acc_norm": 0.3461461860187214, "acc_norm_stderr": 0.004747682003491466 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.22, "acc_stderr": 0.04163331998932268, "acc_norm": 0.22, "acc_norm_stderr": 0.04163331998932268 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.24444444444444444, "acc_stderr": 0.03712537833614865, "acc_norm": 0.24444444444444444, "acc_norm_stderr": 0.03712537833614865 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.17763157894736842, "acc_stderr": 0.031103182383123398, "acc_norm": 0.17763157894736842, "acc_norm_stderr": 0.031103182383123398 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.34, "acc_stderr": 0.04760952285695236, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695236 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.21509433962264152, "acc_stderr": 0.025288394502891373, "acc_norm": 0.21509433962264152, "acc_norm_stderr": 0.025288394502891373 }, "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": 0.2, "acc_stderr": 0.04020151261036845, "acc_norm": 0.2, "acc_norm_stderr": 0.04020151261036845 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.26, "acc_stderr": 0.0440844002276808, "acc_norm": 0.26, "acc_norm_stderr": 0.0440844002276808 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.24, "acc_stderr": 0.042923469599092816, "acc_norm": 0.24, "acc_norm_stderr": 0.042923469599092816 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.20809248554913296, "acc_stderr": 0.030952890217749874, "acc_norm": 0.20809248554913296, "acc_norm_stderr": 0.030952890217749874 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.22549019607843138, "acc_stderr": 0.041583075330832865, "acc_norm": 0.22549019607843138, "acc_norm_stderr": 0.041583075330832865 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.26382978723404255, "acc_stderr": 0.028809989854102973, "acc_norm": 0.26382978723404255, "acc_norm_stderr": 0.028809989854102973 }, "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": 0.2413793103448276, "acc_stderr": 0.03565998174135302, "acc_norm": 0.2413793103448276, "acc_norm_stderr": 0.03565998174135302 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.2275132275132275, "acc_stderr": 0.02159126940782378, "acc_norm": 0.2275132275132275, "acc_norm_stderr": 0.02159126940782378 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.20634920634920634, "acc_stderr": 0.0361960452412425, "acc_norm": 0.20634920634920634, "acc_norm_stderr": 0.0361960452412425 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.18, "acc_stderr": 0.038612291966536934, "acc_norm": 0.18, "acc_norm_stderr": 0.038612291966536934 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.2838709677419355, "acc_stderr": 0.025649381063029254, "acc_norm": 0.2838709677419355, "acc_norm_stderr": 0.025649381063029254 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.24630541871921183, "acc_stderr": 0.030315099285617722, "acc_norm": 0.24630541871921183, "acc_norm_stderr": 0.030315099285617722 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.25, "acc_stderr": 0.04351941398892446, "acc_norm": 0.25, "acc_norm_stderr": 0.04351941398892446 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.2727272727272727, "acc_stderr": 0.0347769116216366, "acc_norm": 0.2727272727272727, "acc_norm_stderr": 0.0347769116216366 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.18181818181818182, "acc_stderr": 0.027479603010538797, "acc_norm": 0.18181818181818182, "acc_norm_stderr": 0.027479603010538797 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.19689119170984457, "acc_stderr": 0.028697873971860702, "acc_norm": 0.19689119170984457, "acc_norm_stderr": 0.028697873971860702 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.20512820512820512, "acc_stderr": 0.020473233173551982, "acc_norm": 0.20512820512820512, "acc_norm_stderr": 0.020473233173551982 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.23703703703703705, "acc_stderr": 0.0259