open-llm-leaderboard-old/details_vihangd__shearedplats-1.3b-v1

该数据集是在评估模型vihangd/shearedplats-1.3b-v1时自动生成的，评估过程在Open LLM Leaderboard上进行。数据集包含64个配置，每个配置对应一个评估任务。数据集由1次运行生成，每次运行的结果存储为特定配置中的一个分割，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，还有一个名为results的配置，存储了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。

原始信息汇总

数据集概述

数据集创建背景

该数据集是在评估模型 vihangd/shearedplats-1.3b-v1 在 Open LLM Leaderboard 上的自动创建的。

数据集结构

• 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_vihangd__shearedplats-1.3b-v1_public", "harness_winogrande_5", split="train")

最新结果

以下是 2023-11-18T21:27:03.574383 运行的最新结果：

python { "all": { "acc": 0.253847590681609, "acc_stderr": 0.030523099331108815, "acc_norm": 0.25573186704882195, "acc_norm_stderr": 0.031292815233613276, "mc1": 0.204406364749082, "mc1_stderr": 0.014117174337432618, "mc2": 0.3392533208873607, "mc2_stderr": 0.014078645743359227, "em": 0.003355704697986577, "em_stderr": 0.0005922452850005238, "f1": 0.0555180369127516, "f1_stderr": 0.0013765753121727882 }, "harness|arc:challenge|25": { "acc": 0.3174061433447099, "acc_stderr": 0.013602239088038173, "acc_norm": 0.35409556313993173, "acc_norm_stderr": 0.013975454122756557 }, "harness|hellaswag|10": { "acc": 0.4705238000398327, "acc_stderr": 0.0049811031579404495, "acc_norm": 0.6274646484763992, "acc_norm_stderr": 0.004824917516374187 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.26, "acc_stderr": 0.04408440022768081, "acc_norm": 0.26, "acc_norm_stderr": 0.04408440022768081 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.2222222222222222, "acc_stderr": 0.03591444084196969, "acc_norm": 0.2222222222222222, "acc_norm_stderr": 0.03591444084196969 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.3223684210526316, "acc_stderr": 0.03803510248351585, "acc_norm": 0.3223684210526316, "acc_norm_stderr": 0.03803510248351585 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.28, "acc_stderr": 0.04512608598542127, "acc_norm": 0.28, "acc_norm_stderr": 0.04512608598542127 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.2528301886792453, "acc_stderr": 0.026749899771241238, "acc_norm": 0.2528301886792453, "acc_norm_stderr": 0.026749899771241238 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.2222222222222222, "acc_stderr": 0.03476590104304134, "acc_norm": 0.2222222222222222, "acc_norm_stderr": 0.03476590104304134 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.21, "acc_stderr": 0.040936018074033256, "acc_norm": 0.21, "acc_norm_stderr": 0.040936018074033256 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.15, "acc_stderr": 0.035887028128263714, "acc_norm": 0.15, "acc_norm_stderr": 0.035887028128263714 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.24, "acc_stderr": 0.04292346959909281, "acc_norm": 0.24, "acc_norm_stderr": 0.04292346959909281 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.24855491329479767, "acc_stderr": 0.03295304696818318, "acc_norm": 0.24855491329479767, "acc_norm_stderr": 0.03295304696818318 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.2647058823529412, "acc_stderr": 0.04389869956808778, "acc_norm": 0.2647058823529412, "acc_norm_stderr": 0.04389869956808778 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.27, "acc_stderr": 0.04461960433384739, "acc_norm": 0.27, "acc_norm_stderr": 0.04461960433384739 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.3276595744680851, "acc_stderr": 0.030683020843231004, "acc_norm": 0.3276595744680851, "acc_norm_stderr": 0.030683020843231004 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.21929824561403508, "acc_stderr": 0.03892431106518754, "acc_norm": 0.21929824561403508, "acc_norm_stderr": 0.03892431106518754 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.23448275862068965, "acc_stderr": 0.035306258743465914, "acc_norm": 0.23448275862068965, "acc_norm_stderr": 0.035306258743465914 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.25925925925925924, "acc_stderr": 0.022569897074918417, "acc_norm": 0.25925925925925924, "acc_norm_stderr": 0.022569897074918417 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.15873015873015872, "acc_stderr": 0.03268454013011744, "acc_norm": 0.15873015873015872, "acc_norm_stderr": 0.03268454013011744 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.27419354838709675, "acc_stderr": 0.025378139970885196, "acc_norm": 0.27419354838709675, "acc_norm_stderr": 0.025378139970885196 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.270935960591133, "acc_stderr": 0.031270907132976984, "acc_norm": 0.270935960591133, "acc_norm_stderr": 0.031270907132976984 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.22, "acc_stderr": 0.04163331998932269, "acc_norm": 0.22, "acc_norm_stderr": 0.04163331998932269 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.2606060606060606, "acc_stderr": 0.034277431758165236, "acc_norm": 0.2606060606060606, "acc_norm_stderr": 0.034277431758165236 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.21717171717171718, "acc_stderr": 0.029376616484945633, "acc_norm": 0.21717171717171718, "acc_norm_stderr": 0.029376616484945633 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.21243523316062177, "acc_stderr": 0.029519282616817244, "acc_norm": 0.21243523316062177, "acc_norm_stderr": 0.029519282616817244 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.24615384615384617, "acc_stderr": 0.021840866990423084, "acc_norm": 0.24615384615384617, "acc_norm_stderr": 0.0