open-llm-leaderboard-old/details_jondurbin__bagel-34b-v0.4

该数据集是在模型jondurbin/bagel-34b-v0.4的评估运行中自动创建的。数据集由63个配置组成，每个配置对应一个评估任务。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，分割以运行的时间戳命名。train分割始终指向最新的结果。此外，还有一个results配置存储了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。

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 jondurbin/bagel-34b-v0.4 进行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。
• 运行次数：数据集来自1次运行。每个运行在每个配置中作为一个特定的分割存在，分割名称使用运行的时间戳。
• 分割类型：每个配置包含多个分割，其中 "train" 分割始终指向最新的结果。
• 结果配置：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_jondurbin__bagel-34b-v0.4", "harness_winogrande_5", split="train")

最新结果

以下是 2024-04-16T04:16:11.486066 运行的最新结果：

python { "all": { "acc": 0.7386946106932062, "acc_stderr": 0.029216251627276965, "acc_norm": 0.7452364595355174, "acc_norm_stderr": 0.02976743157605562, "mc1": 0.43818849449204406, "mc1_stderr": 0.017369236164404434, "mc2": 0.6205982525556826, "mc2_stderr": 0.015157390928009974 }, "harness|arc:challenge|25": { "acc": 0.6296928327645052, "acc_stderr": 0.01411129875167495, "acc_norm": 0.6646757679180887, "acc_norm_stderr": 0.013796182947785562 }, "harness|hellaswag|10": { "acc": 0.6344353714399522, "acc_stderr": 0.00480603903900896, "acc_norm": 0.8331009759012149, "acc_norm_stderr": 0.0037212361965025162 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.46, "acc_stderr": 0.05009082659620332, "acc_norm": 0.46, "acc_norm_stderr": 0.05009082659620332 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.7037037037037037, "acc_stderr": 0.03944624162501116, "acc_norm": 0.7037037037037037, "acc_norm_stderr": 0.03944624162501116 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.868421052631579, "acc_stderr": 0.027508689533549915, "acc_norm": 0.868421052631579, "acc_norm_stderr": 0.027508689533549915 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.76, "acc_stderr": 0.04292346959909284, "acc_norm": 0.76, "acc_norm_stderr": 0.04292346959909284 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.8339622641509434, "acc_stderr": 0.02290206472456994, "acc_norm": 0.8339622641509434, "acc_norm_stderr": 0.02290206472456994 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.8819444444444444, "acc_stderr": 0.026983346503309358, "acc_norm": 0.8819444444444444, "acc_norm_stderr": 0.026983346503309358 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.5, "acc_stderr": 0.050251890762960605, "acc_norm": 0.5, "acc_norm_stderr": 0.050251890762960605 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.62, "acc_stderr": 0.04878317312145633, "acc_norm": 0.62, "acc_norm_stderr": 0.04878317312145633 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.4, "acc_stderr": 0.049236596391733084, "acc_norm": 0.4, "acc_norm_stderr": 0.049236596391733084 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6878612716763006, "acc_stderr": 0.03533133389323657, "acc_norm": 0.6878612716763006, "acc_norm_stderr": 0.03533133389323657 }, "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": 0.81, "acc_stderr": 0.039427724440366234, "acc_norm": 0.81, "acc_norm_stderr": 0.039427724440366234 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.7787234042553192, "acc_stderr": 0.027136349602424056, "acc_norm": 0.7787234042553192, "acc_norm_stderr": 0.027136349602424056 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.5789473684210527, "acc_stderr": 0.046446020912223177, "acc_norm": 0.5789473684210527, "acc_norm_stderr": 0.046446020912223177 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.7310344827586207, "acc_stderr": 0.036951833116502325, "acc_norm": 0.7310344827586207, "acc_norm_stderr": 0.036951833116502325 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.6772486772486772, "acc_stderr": 0.024078943243597016, "acc_norm": 0.6772486772486772, "acc_norm_stderr": 0.024078943243597016 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.5476190476190477, "acc_stderr": 0.044518079590553275, "acc_norm": 0.5476190476190477, "acc_norm_stderr": 0.044518079590553275 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.56, "acc_stderr": 0.04988876515698589, "acc_norm": 0.56, "acc_norm_stderr": 0.04988876515698589 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.8935483870967742, "acc_stderr": 0.01754510295165663, "acc_norm": 0.8935483870967742, "acc_norm_stderr": 0.01754510295165663 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.6009852216748769, "acc_stderr": 0.03445487686264715, "acc_norm": 0.6009852216748769, "acc_norm_stderr": 0.03445487686264715 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.77, "acc_stderr": 0.04229525846816505, "acc_norm": 0.77, "acc_norm_stderr": 0.04229525846816505 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.8727272727272727, "acc_stderr": 0.026024657651656177, "acc_norm": 0.8727272727272727, "acc_norm_stderr": 0.026024657651656177 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.898989898989899, "acc_stderr": 0.021469735576055343, "acc_norm": 0.898989898989899, "acc_norm_stderr": 0.021469735576055343 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.9637305699481865, "acc_stderr": 0.01349265975129514, "acc_norm": 0.9637305699481865, "acc_norm_stderr": 0.01349265975129514 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.764102564102564, "acc_stderr": 0.02152596540740873, "acc_norm": 0.764102564102564, "acc_norm_stderr": 0.02152596540740873 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.3925925925925926, "acc_stderr": 0.02977384701253297, "acc_norm": 0.