open-llm-leaderboard-old/details_vihangd__dopeyshearedplats-2.7b-v1

该数据集是在Open LLM Leaderboard上对模型vihangd/dopeyshearedplats-2.7b-v1进行评估时自动创建的。数据集包含63个配置，每个配置对应一个评估任务。数据集由1次运行创建，每次运行的结果作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，用于在Open LLM Leaderboard上计算和显示聚合指标。

原始信息汇总

数据集概述

数据集来源

该数据集是在对模型 vihangd/dopeyshearedplats-2.7b-v1 进行评估运行期间自动创建的，评估结果展示在 Open LLM Leaderboard 上。

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。
• 最新结果："train" 分割始终指向最新的结果。
• 结果汇总：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_vihangd__dopeyshearedplats-2.7b-v1", "harness_winogrande_5", split="train")

最新结果

以下是 2023-12-16T17:10:33.730644 运行 的最新结果：

python { "all": { "acc": 0.29757038455080786, "acc_stderr": 0.032057229895416275, "acc_norm": 0.30080870787584507, "acc_norm_stderr": 0.03287733985701745, "mc1": 0.28151774785801714, "mc1_stderr": 0.01574402724825605, "mc2": 0.44123500676119165, "mc2_stderr": 0.015794257230996155 }, "harness|arc:challenge|25": { "acc": 0.4121160409556314, "acc_stderr": 0.014383915302225396, "acc_norm": 0.46075085324232085, "acc_norm_stderr": 0.014566303676636588 }, "harness|hellaswag|10": { "acc": 0.5739892451702848, "acc_stderr": 0.0049348468098272, "acc_norm": 0.7517426807408882, "acc_norm_stderr": 0.00431118988223835 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.37037037037037035, "acc_stderr": 0.04171654161354543, "acc_norm": 0.37037037037037035, "acc_norm_stderr": 0.04171654161354543 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.23684210526315788, "acc_stderr": 0.034597776068105365, "acc_norm": 0.23684210526315788, "acc_norm_stderr": 0.034597776068105365 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.35, "acc_stderr": 0.0479372485441102, "acc_norm": 0.35, "acc_norm_stderr": 0.0479372485441102 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.30566037735849055, "acc_stderr": 0.028353298073322663, "acc_norm": 0.30566037735849055, "acc_norm_stderr": 0.028353298073322663 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.3402777777777778, "acc_stderr": 0.03962135573486219, "acc_norm": 0.3402777777777778, "acc_norm_stderr": 0.03962135573486219 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.25, "acc_stderr": 0.04351941398892446, "acc_norm": 0.25, "acc_norm_stderr": 0.04351941398892446 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.25, "acc_stderr": 0.04351941398892446, "acc_norm": 0.25, "acc_norm_stderr": 0.04351941398892446 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.26, "acc_stderr": 0.04408440022768078, "acc_norm": 0.26, "acc_norm_stderr": 0.04408440022768078 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.23121387283236994, "acc_stderr": 0.032147373020294696, "acc_norm": 0.23121387283236994, "acc_norm_stderr": 0.032147373020294696 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.1568627450980392, "acc_stderr": 0.036186648199362466, "acc_norm": 0.1568627450980392, "acc_norm_stderr": 0.036186648199362466 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.42, "acc_stderr": 0.04960449637488584, "acc_norm": 0.42, "acc_norm_stderr": 0.04960449637488584 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.3148936170212766, "acc_stderr": 0.03036358219723817, "acc_norm": 0.3148936170212766, "acc_norm_stderr": 0.03036358219723817 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.22807017543859648, "acc_stderr": 0.03947152782669415, "acc_norm": 0.22807017543859648, "acc_norm_stderr": 0.03947152782669415 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.2896551724137931, "acc_stderr": 0.037800192304380135, "acc_norm": 0.2896551724137931, "acc_norm_stderr": 0.037800192304380135 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.26455026455026454, "acc_stderr": 0.022717467897708624, "acc_norm": 0.26455026455026454, "acc_norm_stderr": 0.022717467897708624 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.18253968253968253, "acc_stderr": 0.03455071019102148, "acc_norm": 0.18253968253968253, "acc_norm_stderr": 0.03455071019102148 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.27, "acc_stderr": 0.0446196043338474, "acc_norm": 0.27, "acc_norm_stderr": 0.0446196043338474 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.27741935483870966, "acc_stderr": 0.025470196835900055, "acc_norm": 0.27741935483870966, "acc_norm_stderr": 0.025470196835900055 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.27586206896551724, "acc_stderr": 0.031447125816782405, "acc_norm": 0.27586206896551724, "acc_norm_stderr": 0.031447125816782405 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.28, "acc_stderr": 0.04512608598542127, "acc_norm": 0.28, "acc_norm_stderr": 0.04512608598542127 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.296969696969697, "acc_stderr": 0.035679697722680474, "acc_norm": 0.296969696969697, "acc_norm_stderr": 0.035679697722680474 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.29292929292929293, "acc_stderr": 0.032424979581788166, "acc_norm": 0.29292929292929293, "acc_norm_stderr": 0.032424979581788166 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.29533678756476683, "acc_stderr": 0.03292296639155141, "acc_norm": 0.29533678756476683, "acc_norm_stderr": 0.03292296639155141 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.2641025641025641, "acc_stderr": 0.02235219373745326, "acc_norm": 0.2641025641025641, "acc_norm_stderr": 0.02235219373745326 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.24444444444444444, "acc_stderr": 0.02620276653465215,