open-llm-leaderboard-old/details_dfurman__Mixtral-8x7B-peft-v0.1

数据集是在评估模型dfurman/Mixtral-8x7B-peft-v0.1在Open LLM Leaderboard上的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命名。train分割始终指向最新的结果。此外，一个名为results的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

数据集摘要

该数据集是在对模型 dfurman/Mixtral-8x7B-peft-v0.1 进行评估运行期间自动创建的，用于 Open LLM Leaderboard。

数据集组成

• 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。
• "train" 分割始终指向最新的结果。
• 额外的 "results" 配置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_dfurman__Mixtral-8x7B-peft-v0.1", "harness_winogrande_5", split="train")

最新结果

以下是 2023-12-30T03:53:03.257833 运行的最新结果：

python { "all": { "acc": 0.6838833486798317, "acc_stderr": 0.031090263024396967, "acc_norm": 0.6886589872846014, "acc_norm_stderr": 0.031695084829465675, "mc1": 0.4320685434516524, "mc1_stderr": 0.01734120239498826, "mc2": 0.5954274012815367, "mc2_stderr": 0.015021172396422498 }, "harness|arc:challenge|25": { "acc": 0.6399317406143344, "acc_stderr": 0.014027516814585186, "acc_norm": 0.6723549488054608, "acc_norm_stderr": 0.013715847940719339 }, "harness|hellaswag|10": { "acc": 0.660426209918343, "acc_stderr": 0.004725967684806407, "acc_norm": 0.8602867954590719, "acc_norm_stderr": 0.0034598069913898367 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.35, "acc_stderr": 0.047937248544110196, "acc_norm": 0.35, "acc_norm_stderr": 0.047937248544110196 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6666666666666666, "acc_stderr": 0.04072314811876837, "acc_norm": 0.6666666666666666, "acc_norm_stderr": 0.04072314811876837 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.8026315789473685, "acc_stderr": 0.03238981601699397, "acc_norm": 0.8026315789473685, "acc_norm_stderr": 0.03238981601699397 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.7509433962264151, "acc_stderr": 0.026616482980501704, "acc_norm": 0.7509433962264151, "acc_norm_stderr": 0.026616482980501704 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.7986111111111112, "acc_stderr": 0.03353647469713839, "acc_norm": 0.7986111111111112, "acc_norm_stderr": 0.03353647469713839 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.51, "acc_stderr": 0.05024183937956911, "acc_norm": 0.51, "acc_norm_stderr": 0.05024183937956911 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.57, "acc_stderr": 0.04975698519562428, "acc_norm": 0.57, "acc_norm_stderr": 0.04975698519562428 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.43, "acc_stderr": 0.04975698519562428, "acc_norm": 0.43, "acc_norm_stderr": 0.04975698519562428 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6473988439306358, "acc_stderr": 0.03643037168958548, "acc_norm": 0.6473988439306358, "acc_norm_stderr": 0.03643037168958548 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.4117647058823529, "acc_stderr": 0.048971049527263666, "acc_norm": 0.4117647058823529, "acc_norm_stderr": 0.048971049527263666 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.79, "acc_stderr": 0.040936018074033256, "acc_norm": 0.79, "acc_norm_stderr": 0.040936018074033256 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.6595744680851063, "acc_stderr": 0.030976692998534436, "acc_norm": 0.6595744680851063, "acc_norm_stderr": 0.030976692998534436 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.5526315789473685, "acc_stderr": 0.046774730044912005, "acc_norm": 0.5526315789473685, "acc_norm_stderr": 0.046774730044912005 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.6758620689655173, "acc_stderr": 0.03900432069185555, "acc_norm": 0.6758620689655173, "acc_norm_stderr": 0.03900432069185555 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.4973544973544973, "acc_stderr": 0.025750949678130387, "acc_norm": 0.4973544973544973, "acc_norm_stderr": 0.025750949678130387 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.4365079365079365, "acc_stderr": 0.04435932892851466, "acc_norm": 0.4365079365079365, "acc_norm_stderr": 0.04435932892851466 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.4, "acc_stderr": 0.04923659639173309, "acc_norm": 0.4, "acc_norm_stderr": 0.04923659639173309 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.8129032258064516, "acc_stderr": 0.02218571009225225, "acc_norm": 0.8129032258064516, "acc_norm_stderr": 0.02218571009225225 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.5763546798029556, "acc_stderr": 0.03476725747649038, "acc_norm": 0.5763546798029556, "acc_norm_stderr": 0.03476725747649038 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.74, "acc_stderr": 0.04408440022768078, "acc_norm": 0.74, "acc_norm_stderr": 0.04408440022768078 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.8181818181818182, "acc_stderr": 0.030117688929503575, "acc_norm": 0.8181818181818182, "acc_norm_stderr": 0.030117688929503575 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.8282828282828283, "acc_stderr": 0.02686971618742991, "acc_norm": 0.8282828282828283, "acc_norm_stderr": 0.02686971618742991 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.9378238341968912, "acc_stderr": 0.017426974154240524, "acc_norm": 0.9378238341968912, "acc_norm_stderr": 0.017426974154240524 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.6923076923076923, "acc_stderr": 0.0234009289183105, "acc_norm": 0.6923076923076923, "acc_norm_stderr": 0.0234009289183105 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.3962962962962963, "acc_stderr": 0.029822619458533997, "acc_norm": 0.3962962962962963, "acc_norm_stderr": 0.02