open-llm-leaderboard-old/details_Danielbrdz__Barcenas-Tiny-1.1b-DPO

该数据集是在模型Danielbrdz/Barcenas-Tiny-1.1b-DPO的评估运行中自动创建的。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，分割以运行的时间戳命名。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，用于计算和显示在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Danielbrdz/Barcenas-Tiny-1.1b-DPO在Open LLM Leaderboard上的自动创建的。

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。
• 创建来源：从1次运行中创建。每个运行可以在每个配置中找到一个特定的分割，分割名称使用运行的时间戳。"train"分割始终指向最新的结果。
• 额外配置："results"配置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_Danielbrdz__Barcenas-Tiny-1.1b-DPO", "harness_winogrande_5", split="train")

最新结果

以下是2024-01-20T20:17:56.012496运行的最新结果：

python { "all": { "acc": 0.255499272307308, "acc_stderr": 0.030734913787339856, "acc_norm": 0.2563954397502199, "acc_norm_stderr": 0.03147886224993774, "mc1": 0.23378212974296206, "mc1_stderr": 0.014816195991931583, "mc2": 0.37445718658128274, "mc2_stderr": 0.013750963148166805 }, "harness|arc:challenge|25": { "acc": 0.3464163822525597, "acc_stderr": 0.013905011180063251, "acc_norm": 0.3626279863481229, "acc_norm_stderr": 0.014049106564955005 }, "harness|hellaswag|10": { "acc": 0.4565823541127266, "acc_stderr": 0.0049709334202319285, "acc_norm": 0.6120294761999602, "acc_norm_stderr": 0.004862919176408069 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.21, "acc_stderr": 0.040936018074033256, "acc_norm": 0.21, "acc_norm_stderr": 0.040936018074033256 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.15555555555555556, "acc_stderr": 0.03130948364878316, "acc_norm": 0.15555555555555556, "acc_norm_stderr": 0.03130948364878316 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.18421052631578946, "acc_stderr": 0.0315469804508223, "acc_norm": 0.18421052631578946, "acc_norm_stderr": 0.0315469804508223 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.27, "acc_stderr": 0.04461960433384741, "acc_norm": 0.27, "acc_norm_stderr": 0.04461960433384741 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.27169811320754716, "acc_stderr": 0.027377706624670713, "acc_norm": 0.27169811320754716, "acc_norm_stderr": 0.027377706624670713 }, "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": 0.29, "acc_stderr": 0.045604802157206845, "acc_norm": 0.29, "acc_norm_stderr": 0.045604802157206845 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.27, "acc_stderr": 0.044619604333847394, "acc_norm": 0.27, "acc_norm_stderr": 0.044619604333847394 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.2023121387283237, "acc_stderr": 0.030631145539198823, "acc_norm": 0.2023121387283237, "acc_norm_stderr": 0.030631145539198823 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.18627450980392157, "acc_stderr": 0.03873958714149351, "acc_norm": 0.18627450980392157, "acc_norm_stderr": 0.03873958714149351 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.28, "acc_stderr": 0.04512608598542127, "acc_norm": 0.28, "acc_norm_stderr": 0.04512608598542127 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.2425531914893617, "acc_stderr": 0.028020226271200217, "acc_norm": 0.2425531914893617, "acc_norm_stderr": 0.028020226271200217 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.24561403508771928, "acc_stderr": 0.04049339297748142, "acc_norm": 0.24561403508771928, "acc_norm_stderr": 0.04049339297748142 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.25517241379310346, "acc_stderr": 0.03632984052707842, "acc_norm": 0.25517241379310346, "acc_norm_stderr": 0.03632984052707842 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.25925925925925924, "acc_stderr": 0.022569897074918407, "acc_norm": 0.25925925925925924, "acc_norm_stderr": 0.022569897074918407 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.23809523809523808, "acc_stderr": 0.03809523809523811, "acc_norm": 0.23809523809523808, "acc_norm_stderr": 0.03809523809523811 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.29, "acc_stderr": 0.04560480215720684, "acc_norm": 0.29, "acc_norm_stderr": 0.04560480215720684 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.2161290322580645, "acc_stderr": 0.023415293433568525, "acc_norm": 0.2161290322580645, "acc_norm_stderr": 0.023415293433568525 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.22167487684729065, "acc_stderr": 0.029225575892489617, "acc_norm": 0.22167487684729065, "acc_norm_stderr": 0.029225575892489617 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.23, "acc_stderr": 0.04229525846816505, "acc_norm": 0.23, "acc_norm_stderr": 0.04229525846816505 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.23030303030303031, "acc_stderr": 0.032876667586034886, "acc_norm": 0.23030303030303031, "acc_norm_stderr": 0.032876667586034886 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.21717171717171718, "acc_stderr": 0.02937661648494564, "acc_norm": 0.21717171717171718, "acc_norm_stderr": 0.02937661648494564 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.22279792746113988, "acc_stderr": 0.030031147977641545, "acc_norm": 0.22279792746113988, "acc_norm_stderr": 0.030031147977641545 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.24615384615384617, "acc_stderr": 0.021840866990423077, "acc_norm": 0.24615384615384617, "acc_norm_stderr": 0.021840866990423077 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.27037037037037037, "acc_stderr": 0.02708037281514