open-llm-leaderboard-old/details_Rijgersberg__GEITje-7B

该数据集是在Open LLM Leaderboard上对模型Rijgersberg/GEITje-7B进行评估时自动创建的。它由63个配置组成，每个配置对应一个评估任务。数据集由1次运行创建，每次运行在每个配置中作为一个特定的分割存在。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。

原始信息汇总

数据集概述

数据集简介

该数据集是在模型 Rijgersberg/GEITje-7B 在 Open LLM Leaderboard 上的评估运行期间自动创建的。

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。
• 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_Rijgersberg__GEITje-7B", "harness_winogrande_5", split="train")

最新结果

以下是 2024-01-19T15:27:47.021143 运行的最新结果：

python { "all": { "acc": 0.4992727199727469, "acc_stderr": 0.03446458801176692, "acc_norm": 0.5044163057293031, "acc_norm_stderr": 0.0352231344135158, "mc1": 0.24724602203182375, "mc1_stderr": 0.015102404797359652, "mc2": 0.4045292267655127, "mc2_stderr": 0.013973702471401067 }, "harness|arc:challenge|25": { "acc": 0.4206484641638225, "acc_stderr": 0.014426211252508408, "acc_norm": 0.44795221843003413, "acc_norm_stderr": 0.01453201149821167 }, "harness|hellaswag|10": { "acc": 0.5500896235809599, "acc_stderr": 0.004964679845918434, "acc_norm": 0.7531368253335989, "acc_norm_stderr": 0.004303052185107719 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.36, "acc_stderr": 0.04824181513244218, "acc_norm": 0.36, "acc_norm_stderr": 0.04824181513244218 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.48148148148148145, "acc_stderr": 0.043163785995113245, "acc_norm": 0.48148148148148145, "acc_norm_stderr": 0.043163785995113245 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.5197368421052632, "acc_stderr": 0.040657710025626036, "acc_norm": 0.5197368421052632, "acc_norm_stderr": 0.040657710025626036 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.43, "acc_stderr": 0.049756985195624284, "acc_norm": 0.43, "acc_norm_stderr": 0.049756985195624284 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.47924528301886793, "acc_stderr": 0.030746349975723463, "acc_norm": 0.47924528301886793, "acc_norm_stderr": 0.030746349975723463 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.4861111111111111, "acc_stderr": 0.04179596617581, "acc_norm": 0.4861111111111111, "acc_norm_stderr": 0.04179596617581 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.36, "acc_stderr": 0.048241815132442176, "acc_norm": 0.36, "acc_norm_stderr": 0.048241815132442176 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.35, "acc_stderr": 0.0479372485441102, "acc_norm": 0.35, "acc_norm_stderr": 0.0479372485441102 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.4277456647398844, "acc_stderr": 0.03772446857518026, "acc_norm": 0.4277456647398844, "acc_norm_stderr": 0.03772446857518026 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.28431372549019607, "acc_stderr": 0.04488482852329017, "acc_norm": 0.28431372549019607, "acc_norm_stderr": 0.04488482852329017 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.7, "acc_stderr": 0.04605661864718381, "acc_norm": 0.7, "acc_norm_stderr": 0.04605661864718381 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.425531914893617, "acc_stderr": 0.03232146916224469, "acc_norm": 0.425531914893617, "acc_norm_stderr": 0.03232146916224469 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.32456140350877194, "acc_stderr": 0.044045561573747664, "acc_norm": 0.32456140350877194, "acc_norm_stderr": 0.044045561573747664 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.503448275862069, "acc_stderr": 0.041665675771015785, "acc_norm": 0.503448275862069, "acc_norm_stderr": 0.041665675771015785 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.32275132275132273, "acc_stderr": 0.024078943243597016, "acc_norm": 0.32275132275132273, "acc_norm_stderr": 0.024078943243597016 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.2619047619047619, "acc_stderr": 0.0393253768039287, "acc_norm": 0.2619047619047619, "acc_norm_stderr": 0.0393253768039287 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.39, "acc_stderr": 0.04902071300001974, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001974 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.567741935483871, "acc_stderr": 0.028181739720019416, "acc_norm": 0.567741935483871, "acc_norm_stderr": 0.028181739720019416 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.39408866995073893, "acc_stderr": 0.034381579670365425, "acc_norm": 0.39408866995073893, "acc_norm_stderr": 0.034381579670365425 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.48, "acc_stderr": 0.050211673156867795, "acc_norm": 0.48, "acc_norm_stderr": 0.050211673156867795 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.6666666666666666, "acc_stderr": 0.03681050869161551, "acc_norm": 0.6666666666666666, "acc_norm_stderr": 0.03681050869161551 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.6515151515151515, "acc_stderr": 0.033948539651564025, "acc_norm": 0.6515151515151515, "acc_norm_stderr": 0.033948539651564025 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.694300518134715, "acc_stderr": 0.03324837939758159, "acc_norm": 0.694300518134715, "acc_norm_stderr": 0.03324837939758159 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.4512820512820513, "acc_stderr": 0.025230381238934837, "acc_norm": 0.4512820512820513, "acc_norm_stderr": 0.025230381238934837 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.2851851851851852, "acc_stderr": 0.027528599210340496, "acc_norm": 0.2851851851851852, "acc_norm_stderr": 0.027528