open-llm-leaderboard-old/details_uukuguy__Orca-2-7b-f16

该数据集是在模型 uukuguy/Orca-2-7b-f16 在 Open LLM Leaderboard 上的评估运行期间自动创建的。数据集由 64 个配置组成，每个配置对应一个特定的评估任务。它包含一次或多次运行的结果，每次运行都存储为一个特定的分割，分割名称由运行的时间戳命名。train 分割始终指向最新的结果。一个名为 results 的额外配置存储了所有运行的聚合结果，这些结果用于计算和显示 Open LLM Leaderboard 上的聚合指标。README 还提供了如何使用 Hugging Face datasets 库加载数据集的示例。

原始信息汇总

数据集概述

该数据集是在对模型 uukuguy/Orca-2-7b-f16 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 64 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。
• 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_uukuguy__Orca-2-7b-f16_public", "harness_winogrande_5", split="train")

最新结果

以下是 2023-11-25T05:57:22.285671 运行的最新结果：

python { "all": { "acc": 0.2657693278278556, "acc_stderr": 0.03135662339817443, "acc_norm": 0.2672828870617276, "acc_norm_stderr": 0.032198017213766285, "mc1": 0.2350061199510404, "mc1_stderr": 0.0148430615077316, "mc2": 0.4836424685770379, "mc2_stderr": 0.017011052216455772, "em": 0.0, "em_stderr": 0.0, "f1": 4.718959731543626e-05, "f1_stderr": 1.3131442946208309e-05 }, "harness|arc:challenge|25": { "acc": 0.23378839590443687, "acc_stderr": 0.01236822537850714, "acc_norm": 0.2960750853242321, "acc_norm_stderr": 0.013340916085246263 }, "harness|hellaswag|10": { "acc": 0.2548297151961761, "acc_stderr": 0.0043487487305299355, "acc_norm": 0.2562238597888867, "acc_norm_stderr": 0.004356547185847041 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.24, "acc_stderr": 0.04292346959909283, "acc_norm": 0.24, "acc_norm_stderr": 0.04292346959909283 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.2222222222222222, "acc_stderr": 0.035914440841969694, "acc_norm": 0.2222222222222222, "acc_norm_stderr": 0.035914440841969694 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.3026315789473684, "acc_stderr": 0.03738520676119669, "acc_norm": 0.3026315789473684, "acc_norm_stderr": 0.03738520676119669 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.30566037735849055, "acc_stderr": 0.028353298073322666, "acc_norm": 0.30566037735849055, "acc_norm_stderr": 0.028353298073322666 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.2777777777777778, "acc_stderr": 0.03745554791462457, "acc_norm": 0.2777777777777778, "acc_norm_stderr": 0.03745554791462457 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.36, "acc_stderr": 0.04824181513244218, "acc_norm": 0.36, "acc_norm_stderr": 0.04824181513244218 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.35, "acc_stderr": 0.0479372485441102, "acc_norm": 0.35, "acc_norm_stderr": 0.0479372485441102 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.27167630057803466, "acc_stderr": 0.03391750322321659, "acc_norm": 0.27167630057803466, "acc_norm_stderr": 0.03391750322321659 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.24509803921568626, "acc_stderr": 0.04280105837364395, "acc_norm": 0.24509803921568626, "acc_norm_stderr": 0.04280105837364395 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.26, "acc_stderr": 0.04408440022768077, "acc_norm": 0.26, "acc_norm_stderr": 0.04408440022768077 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.225531914893617, "acc_stderr": 0.02732107841738754, "acc_norm": 0.225531914893617, "acc_norm_stderr": 0.02732107841738754 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.21052631578947367, "acc_stderr": 0.038351539543994194, "acc_norm": 0.21052631578947367, "acc_norm_stderr": 0.038351539543994194 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.2896551724137931, "acc_stderr": 0.037800192304380156, "acc_norm": 0.2896551724137931, "acc_norm_stderr": 0.037800192304380156 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.22486772486772486, "acc_stderr": 0.021502096078229147, "acc_norm": 0.22486772486772486, "acc_norm_stderr": 0.021502096078229147 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.38095238095238093, "acc_stderr": 0.04343525428949098, "acc_norm": 0.38095238095238093, "acc_norm_stderr": 0.04343525428949098 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.29, "acc_stderr": 0.045604802157206845, "acc_norm": 0.29, "acc_norm_stderr": 0.045604802157206845 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.3161290322580645, "acc_stderr": 0.02645087448904277, "acc_norm": 0.3161290322580645, "acc_norm_stderr": 0.02645087448904277 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.22167487684729065, "acc_stderr": 0.029225575892489614, "acc_norm": 0.22167487684729065, "acc_norm_stderr": 0.029225575892489614 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.26, "acc_stderr": 0.044084400227680794, "acc_norm": 0.26, "acc_norm_stderr": 0.044084400227680794 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.2, "acc_stderr": 0.031234752377721175, "acc_norm": 0.2, "acc_norm_stderr": 0.031234752377721175 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.3888888888888889, "acc_stderr": 0.0347327959083696, "acc_norm": 0.3888888888888889, "acc_norm_stderr": 0.0347327959083696 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.24870466321243523, "acc_stderr": 0.031195840877700293, "acc_norm": 0.24870466321243523, "acc_norm_stderr": 0.031195840877700293 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.2948717948717949, "acc_stderr": 0.023119362758232273, "acc_norm": 0.2948717948717949, "acc_norm_stderr": 0.023119362758232273 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc":