open-llm-leaderboard-old/details_kyujinpy__PlatYi-34B-Llama

该数据集是在模型kyujinpy/PlatYi-34B-Llama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。数据集是从1次运行中创建的，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。此外，results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

数据集简介

该数据集是在评估模型kyujinpy/PlatYi-34B-Llama在Open LLM Leaderboard上的运行过程中自动创建的。

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。
• 数据来源：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。
• 最新结果："train"分割始终指向最新的结果。
• 汇总结果：一个额外的配置"results"存储所有运行的汇总结果，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_kyujinpy__PlatYi-34B-Llama", "harness_winogrande_5", split="train")

最新结果

以下是2023-12-08T13:53:50.560895运行的最新结果：

python { "all": { "acc": 0.7728810010749458, "acc_stderr": 0.027595526787008207, "acc_norm": 0.7819869729388714, "acc_norm_stderr": 0.028092738383065884, "mc1": 0.390452876376989, "mc1_stderr": 0.017078230743431448, "mc2": 0.5346474030714572, "mc2_stderr": 0.014932996057223041 }, "harness|arc:challenge|25": { "acc": 0.6331058020477816, "acc_stderr": 0.014084133118104294, "acc_norm": 0.6783276450511946, "acc_norm_stderr": 0.013650488084494164 }, "harness|hellaswag|10": { "acc": 0.6539533957379008, "acc_stderr": 0.0047473605007424865, "acc_norm": 0.8535152360087632, "acc_norm_stderr": 0.0035286889976580537 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.51, "acc_stderr": 0.05024183937956911, "acc_norm": 0.51, "acc_norm_stderr": 0.05024183937956911 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.7555555555555555, "acc_stderr": 0.03712537833614866, "acc_norm": 0.7555555555555555, "acc_norm_stderr": 0.03712537833614866 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.8947368421052632, "acc_stderr": 0.024974533450920697, "acc_norm": 0.8947368421052632, "acc_norm_stderr": 0.024974533450920697 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.81, "acc_stderr": 0.03942772444036623, "acc_norm": 0.81, "acc_norm_stderr": 0.03942772444036623 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.8, "acc_stderr": 0.02461829819586651, "acc_norm": 0.8, "acc_norm_stderr": 0.02461829819586651 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.9305555555555556, "acc_stderr": 0.02125797482283204, "acc_norm": 0.9305555555555556, "acc_norm_stderr": 0.02125797482283204 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.49, "acc_stderr": 0.05024183937956912, "acc_norm": 0.49, "acc_norm_stderr": 0.05024183937956912 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.71, "acc_stderr": 0.04560480215720684, "acc_norm": 0.71, "acc_norm_stderr": 0.04560480215720684 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.48, "acc_stderr": 0.05021167315686779, "acc_norm": 0.48, "acc_norm_stderr": 0.05021167315686779 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.7109826589595376, "acc_stderr": 0.03456425745086999, "acc_norm": 0.7109826589595376, "acc_norm_stderr": 0.03456425745086999 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.5490196078431373, "acc_stderr": 0.04951218252396262, "acc_norm": 0.5490196078431373, "acc_norm_stderr": 0.04951218252396262 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.83, "acc_stderr": 0.03775251680686371, "acc_norm": 0.83, "acc_norm_stderr": 0.03775251680686371 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.8, "acc_stderr": 0.026148818018424506, "acc_norm": 0.8, "acc_norm_stderr": 0.026148818018424506 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.6403508771929824, "acc_stderr": 0.04514496132873633, "acc_norm": 0.6403508771929824, "acc_norm_stderr": 0.04514496132873633 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.8, "acc_stderr": 0.0333333333333333, "acc_norm": 0.8, "acc_norm_stderr": 0.0333333333333333 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.746031746031746, "acc_stderr": 0.02241804289111394, "acc_norm": 0.746031746031746, "acc_norm_stderr": 0.02241804289111394 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.5793650793650794, "acc_stderr": 0.04415438226743745, "acc_norm": 0.5793650793650794, "acc_norm_stderr": 0.04415438226743745 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.55, "acc_stderr": 0.05, "acc_norm": 0.55, "acc_norm_stderr": 0.05 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.9225806451612903, "acc_stderr": 0.015203644420774848, "acc_norm": 0.9225806451612903, "acc_norm_stderr": 0.015203644420774848 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.6995073891625616, "acc_stderr": 0.03225799476233484, "acc_norm": 0.6995073891625616, "acc_norm_stderr": 0.03225799476233484 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.85, "acc_stderr": 0.03588702812826371, "acc_norm": 0.85, "acc_norm_stderr": 0.03588702812826371 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.8787878787878788, "acc_stderr": 0.02548549837334323, "acc_norm": 0.8787878787878788, "acc_norm_stderr": 0.02548549837334323 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.9090909090909091, "acc_stderr": 0.02048208677542421, "acc_norm": 0.9090909090909091, "acc_norm_stderr": 0.02048208677542421 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.9740932642487047, "acc_stderr": 0.01146452335695318, "acc_norm": 0.9740932642487047, "acc_norm_stderr": 0.01146452335695318 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.8307692307692308, "acc_stderr": 0.01901100452365105, "acc_norm": 0.8307692307692308, "acc_norm_stderr": 0.01901100452365105 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.4703703703703704, "acc_stderr": 0.030431963547936584, "acc_norm": 0.4703703703703704, "acc_norm_stderr": 0.030431963547936584 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.8739495798319328, "acc_stderr": 0.021559623121213928, "acc_norm": 0.873949579