open-llm-leaderboard-old/details_nathan0__mpt_delta_tuned_model_v3

该数据集是在模型nathan0/mpt_delta_tuned_model_v3的评估运行中自动创建的，并用于Open LLM Leaderboard。数据集由61个配置组成，每个配置对应一个评估任务。数据集从2次运行中创建，每次运行都可以在特定配置中找到，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，results配置存储了所有运行的聚合结果，并用于计算和显示Open LLM Leaderboard上的聚合指标。

原始信息汇总

数据集概述

数据集名称

Evaluation run of nathan0/mpt_delta_tuned_model_v3

数据集摘要

该数据集是在对模型 nathan0/mpt_delta_tuned_model_v3 进行评估运行期间自动创建的，评估结果发布在 Open LLM Leaderboard 上。

数据集组成

• 数据集由 61 个配置组成，每个配置对应一个评估任务。
• 数据集从 2 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。
• 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_nathan0__mpt_delta_tuned_model_v3", "harness_truthfulqa_mc_0", split="train")

最新结果

以下是 2023-08-29T18:53:57.396321 运行的最新结果： python { "all": { "acc": 0.28112521141201186, "acc_stderr": 0.032405505734312466, "acc_norm": 0.2851491508040904, "acc_norm_stderr": 0.03239478354615427, "mc1": 0.23990208078335373, "mc1_stderr": 0.014948812679062133, "mc2": 0.35460998683456907, "mc2_stderr": 0.013780749850644137 }, "harness|arc:challenge|25": { "acc": 0.454778156996587, "acc_stderr": 0.014551507060836353, "acc_norm": 0.5059726962457338, "acc_norm_stderr": 0.014610348300255795 }, "harness|hellaswag|10": { "acc": 0.5777733519219279, "acc_stderr": 0.004929048482760455, "acc_norm": 0.7639912368054173, "acc_norm_stderr": 0.004237598142007246 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.23, "acc_stderr": 0.04229525846816505, "acc_norm": 0.23, "acc_norm_stderr": 0.04229525846816505 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.2074074074074074, "acc_stderr": 0.03502553170678318, "acc_norm": 0.2074074074074074, "acc_norm_stderr": 0.03502553170678318 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.2565789473684211, "acc_stderr": 0.0355418036802569, "acc_norm": 0.2565789473684211, "acc_norm_stderr": 0.0355418036802569 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.26, "acc_stderr": 0.04408440022768076, "acc_norm": 0.26, "acc_norm_stderr": 0.04408440022768076 }, "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": 0.2569444444444444, "acc_stderr": 0.03653946969442099, "acc_norm": 0.2569444444444444, "acc_norm_stderr": 0.03653946969442099 }, "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": 0.35, "acc_stderr": 0.047937248544110196, "acc_norm": 0.35, "acc_norm_stderr": 0.047937248544110196 }, "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": 0.2138728323699422, "acc_stderr": 0.031265112061730424, "acc_norm": 0.2138728323699422, "acc_norm_stderr": 0.031265112061730424 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.19607843137254902, "acc_stderr": 0.03950581861179961, "acc_norm": 0.19607843137254902, "acc_norm_stderr": 0.03950581861179961 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.32, "acc_stderr": 0.04688261722621504, "acc_norm": 0.32, "acc_norm_stderr": 0.04688261722621504 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.28085106382978725, "acc_stderr": 0.029379170464124825, "acc_norm": 0.28085106382978725, "acc_norm_stderr": 0.029379170464124825 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.23684210526315788, "acc_stderr": 0.03999423879281334, "acc_norm": 0.23684210526315788, "acc_norm_stderr": 0.03999423879281334 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.2689655172413793, "acc_stderr": 0.03695183311650232, "acc_norm": 0.2689655172413793, "acc_norm_stderr": 0.03695183311650232 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.2724867724867725, "acc_stderr": 0.022930973071633345, "acc_norm": 0.2724867724867725, "acc_norm_stderr": 0.022930973071633345 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.19047619047619047, "acc_stderr": 0.035122074123020514, "acc_norm": 0.19047619047619047, "acc_norm_stderr": 0.035122074123020514 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.33, "acc_stderr": 0.047258156262526045, "acc_norm": 0.33, "acc_norm_stderr": 0.047258156262526045 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.3161290322580645, "acc_stderr": 0.02645087448904276, "acc_norm": 0.3161290322580645, "acc_norm_stderr": 0.02645087448904276 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.2512315270935961, "acc_stderr": 0.030516530732694433, "acc_norm": 0.2512315270935961, "acc_norm_stderr": 0.030516530732694433 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.26, "acc_stderr": 0.04408440022768078, "acc_norm": 0.26, "acc_norm_stderr": 0.04408440022768078 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.2545454545454545, "acc_stderr": 0.03401506715249039, "acc_norm": 0.2545454545454545, "acc_norm_stderr": 0.03401506715249039 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.22727272727272727, "acc_stderr": 0.029857515673386407, "acc_norm": 0.22727272727272727, "acc_norm_stderr": 0.029857515673386407 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.30569948186528495, "acc_stderr": 0.033248379397581594, "acc_norm": 0.30569948186528495, "acc_norm_stderr": 0.033248379397581594 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.2948717948717949, "acc_stderr": 0.023119362758232287, "acc_norm": 0.2948717948717949, "acc_norm_stderr": 0.023119362758232287 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.25925925925925924, "acc