open-llm-leaderboard-old/details_davidkim205__Rhea-72b-v0.5

该数据集是在模型davidkim205/Rhea-72b-v0.5在Open LLM Leaderboard上的评估运行期间自动创建的。数据集由63个配置组成，每个配置对应一个评估任务。它由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。文件还提供了如何使用Python代码加载运行中的详细信息的示例，并列出了特定运行的最新结果。

原始信息汇总

数据集概述

该数据集是在对模型 davidkim205/Rhea-72b-v0.5 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。
• 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_davidkim205__Rhea-72b-v0.5", "harness_winogrande_5", split="train")

最新结果

以下是 2024-03-23T20:12:54.617185 运行的最新结果：

python { "all": { "acc": 0.7806788777772534, "acc_stderr": 0.02763688852668843, "acc_norm": 0.7820706097510992, "acc_norm_stderr": 0.028188927482522667, "mc1": 0.6462668298653611, "mc1_stderr": 0.016737814358846147, "mc2": 0.7450090367696568, "mc2_stderr": 0.01451552865632939 }, "harness|arc:challenge|25": { "acc": 0.7773037542662116, "acc_stderr": 0.01215831477482993, "acc_norm": 0.7977815699658704, "acc_norm_stderr": 0.011737454431872105 }, "harness|hellaswag|10": { "acc": 0.7715594503087034, "acc_stderr": 0.004189698894885502, "acc_norm": 0.9114718183628759, "acc_norm_stderr": 0.002834809706210335 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.44, "acc_stderr": 0.04988876515698589, "acc_norm": 0.44, "acc_norm_stderr": 0.04988876515698589 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.7111111111111111, "acc_stderr": 0.03915450630414251, "acc_norm": 0.7111111111111111, "acc_norm_stderr": 0.03915450630414251 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.8881578947368421, "acc_stderr": 0.02564834125169361, "acc_norm": 0.8881578947368421, "acc_norm_stderr": 0.02564834125169361 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.8, "acc_stderr": 0.04020151261036845, "acc_norm": 0.8, "acc_norm_stderr": 0.04020151261036845 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.8679245283018868, "acc_stderr": 0.020837715430694008, "acc_norm": 0.8679245283018868, "acc_norm_stderr": 0.020837715430694008 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.9305555555555556, "acc_stderr": 0.02125797482283205, "acc_norm": 0.9305555555555556, "acc_norm_stderr": 0.02125797482283205 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.52, "acc_stderr": 0.050211673156867795, "acc_norm": 0.52, "acc_norm_stderr": 0.050211673156867795 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.65, "acc_stderr": 0.04793724854411018, "acc_norm": 0.65, "acc_norm_stderr": 0.04793724854411018 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.52, "acc_stderr": 0.05021167315686779, "acc_norm": 0.52, "acc_norm_stderr": 0.05021167315686779 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.7687861271676301, "acc_stderr": 0.03214737302029468, "acc_norm": 0.7687861271676301, "acc_norm_stderr": 0.03214737302029468 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.49019607843137253, "acc_stderr": 0.04974229460422817, "acc_norm": 0.49019607843137253, "acc_norm_stderr": 0.04974229460422817 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.85, "acc_stderr": 0.03588702812826369, "acc_norm": 0.85, "acc_norm_stderr": 0.03588702812826369 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.8297872340425532, "acc_stderr": 0.024568096561260702, "acc_norm": 0.8297872340425532, "acc_norm_stderr": 0.024568096561260702 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.5877192982456141, "acc_stderr": 0.04630653203366596, "acc_norm": 0.5877192982456141, "acc_norm_stderr": 0.04630653203366596 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.7793103448275862, "acc_stderr": 0.03455930201924811, "acc_norm": 0.7793103448275862, "acc_norm_stderr": 0.03455930201924811 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.6931216931216931, "acc_stderr": 0.023752928712112136, "acc_norm": 0.6931216931216931, "acc_norm_stderr": 0.023752928712112136 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.5714285714285714, "acc_stderr": 0.04426266681379909, "acc_norm": 0.5714285714285714, "acc_norm_stderr": 0.04426266681379909 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.54, "acc_stderr": 0.05009082659620332, "acc_norm": 0.54, "acc_norm_stderr": 0.05009082659620332 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.8935483870967742, "acc_stderr": 0.017545102951656632, "acc_norm": 0.8935483870967742, "acc_norm_stderr": 0.017545102951656632 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.6945812807881774, "acc_stderr": 0.03240661565868408, "acc_norm": 0.6945812807881774, "acc_norm_stderr": 0.03240661565868408 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.82, "acc_stderr": 0.038612291966536934, "acc_norm": 0.82, "acc_norm_stderr": 0.038612291966536934 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.8545454545454545, "acc_stderr": 0.027530196355066584, "acc_norm": 0.8545454545454545, "acc_norm_stderr": 0.027530196355066584 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.9191919191919192, "acc_stderr": 0.019417681889724536, "acc_norm": 0.9191919191919192, "acc_norm_stderr": 0.019417681889724536 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.9844559585492227, "acc_stderr": 0.008927492715084334, "acc_norm": 0.9844559585492227, "acc_norm_stderr": 0.008927492715084334 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.8128205128205128, "acc_stderr": 0.019776601086550022, "acc_norm": 0.8128205128205128, "acc_norm_stderr": 0.019776601086550022 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.4962962962962963, "acc_stderr": 0.03048470166508437, "acc_norm": 0.4962962962962963, "acc_norm_stderr": 0.03048470166