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open-llm-leaderboard/details_AI-Sweden-Models__gpt-sw3-6.7b-v2-instruct

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Hugging Face2023-11-18 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/open-llm-leaderboard/details_AI-Sweden-Models__gpt-sw3-6.7b-v2-instruct
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资源简介:
数据集是在评估模型AI-Sweden-Models/gpt-sw3-6.7b-v2-instruct在Open LLM Leaderboard上的表现时自动创建的。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次运行创建,每次运行可以在每个配置的特定分割中找到,分割名称使用运行的时间戳命名。train分割始终指向最新结果。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。

数据集是在评估模型AI-Sweden-Models/gpt-sw3-6.7b-v2-instruct在Open LLM Leaderboard上的表现时自动创建的。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次运行创建,每次运行可以在每个配置的特定分割中找到,分割名称使用运行的时间戳命名。train分割始终指向最新结果。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。
提供机构:
open-llm-leaderboard
原始信息汇总

数据集概述

数据集摘要

该数据集是在对模型 AI-Sweden-Models/gpt-sw3-6.7b-v2-instruct 进行评估时自动创建的,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 "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_AI-Sweden-Models__gpt-sw3-6.7b-v2-instruct_public", "harness_winogrande_5", split="train")

最新结果

以下是 2023-11-18T21:04:21.939404 运行的最新结果

python { "all": { "acc": 0.32058974654497724, "acc_stderr": 0.03287256745618845, "acc_norm": 0.3233939935906761, "acc_norm_stderr": 0.03364411678813401, "mc1": 0.26193390452876375, "mc1_stderr": 0.015392118805015023, "mc2": 0.4032485125499964, "mc2_stderr": 0.014292284301112663, "em": 0.22766359060402686, "em_stderr": 0.004294273453162853, "f1": 0.266680998322148, "f1_stderr": 0.00428696034436648 }, "harness|arc:challenge|25": { "acc": 0.3575085324232082, "acc_stderr": 0.014005494275916576, "acc_norm": 0.40784982935153585, "acc_norm_stderr": 0.014361097288449707 }, "harness|hellaswag|10": { "acc": 0.5046803425612428, "acc_stderr": 0.004989562798280523, "acc_norm": 0.6776538538139812, "acc_norm_stderr": 0.004664195159393912 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.27, "acc_stderr": 0.04461960433384741, "acc_norm": 0.27, "acc_norm_stderr": 0.04461960433384741 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.362962962962963, "acc_stderr": 0.04153948404742398, "acc_norm": 0.362962962962963, "acc_norm_stderr": 0.04153948404742398 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.32894736842105265, "acc_stderr": 0.03823428969926604, "acc_norm": 0.32894736842105265, "acc_norm_stderr": 0.03823428969926604 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.35, "acc_stderr": 0.047937248544110196, "acc_norm": 0.35, "acc_norm_stderr": 0.047937248544110196 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.33962264150943394, "acc_stderr": 0.029146904747798335, "acc_norm": 0.33962264150943394, "acc_norm_stderr": 0.029146904747798335 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.3680555555555556, "acc_stderr": 0.04032999053960718, "acc_norm": 0.3680555555555556, "acc_norm_stderr": 0.04032999053960718 }, "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": 0.26, "acc_stderr": 0.04408440022768079, "acc_norm": 0.26, "acc_norm_stderr": 0.04408440022768079 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.27, "acc_stderr": 0.044619604333847415, "acc_norm": 0.27, "acc_norm_stderr": 0.044619604333847415 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.3352601156069364, "acc_stderr": 0.03599586301247078, "acc_norm": 0.3352601156069364, "acc_norm_stderr": 0.03599586301247078 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.2549019607843137, "acc_stderr": 0.0433643270799318, "acc_norm": 0.2549019607843137, "acc_norm_stderr": 0.0433643270799318 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.35, "acc_stderr": 0.0479372485441102, "acc_norm": 0.35, "acc_norm_stderr": 0.0479372485441102 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.3191489361702128, "acc_stderr": 0.030472973363380045, "acc_norm": 0.3191489361702128, "acc_norm_stderr": 0.030472973363380045 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.24561403508771928, "acc_stderr": 0.040493392977481404, "acc_norm": 0.24561403508771928, "acc_norm_stderr": 0.040493392977481404 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.27586206896551724, "acc_stderr": 0.03724563619774634, "acc_norm": 0.27586206896551724, "acc_norm_stderr": 0.03724563619774634 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.29894179894179895, "acc_stderr": 0.023577604791655805, "acc_norm": 0.29894179894179895, "acc_norm_stderr": 0.023577604791655805 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.2619047619047619, "acc_stderr": 0.039325376803928704, "acc_norm": 0.2619047619047619, "acc_norm_stderr": 0.039325376803928704 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.22, "acc_stderr": 0.04163331998932269, "acc_norm": 0.22, "acc_norm_stderr": 0.04163331998932269 }, "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": 0.1921182266009852, "acc_stderr": 0.027719315709614775, "acc_norm": 0.1921182266009852, "acc_norm_stderr": 0.027719315709614775 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.25, "acc_stderr": 0.04351941398892446, "acc_norm": 0.25, "acc_norm_stderr": 0.04351941398892446 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.3393939393939394, "acc_stderr": 0.03697442205031596, "acc_norm": 0.3393939393939394, "acc_norm_stderr": 0.03697442205031596 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.31313131313131315, "acc_stderr": 0.03304205087813653, "acc_norm": 0.31313131313131315, "acc_norm_stderr": 0.03304205087813653 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.35233160621761656, "acc_stderr": 0.034474782864143565, "acc_norm": 0.35233160621761656, "acc_norm_stderr": 0.034474782864143565 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.2564102564102564, "acc_stderr": 0.02213908110397155, "acc_norm": 0.2564102564102564, "acc_norm_stderr": 0.02213908110397155 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.25925925925925924, "acc_stderr": 0.026719240783712163, "acc_norm": 0.25925925925925924, "acc_norm_stderr": 0.026719240783712163 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.2689075630252101, "acc_stderr": 0.028801392193631276, "acc_norm": 0.2689075630252101, "acc_norm_stderr": 0.028801392193631276 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.2251655629139073, "acc_stderr": 0.03410435282008936, "acc_norm": 0.2251655629139073, "acc_norm_stderr": 0.03410435282008936 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.42385321100917434, "acc_stderr": 0.021187263209087516, "acc_norm": 0.42385321100917434, "acc_norm_stderr": 0.021187263209087516 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.2037037037037037, "acc_stderr": 0.027467401804058017, "acc_norm": 0.2037037037037037, "acc_norm_stderr": 0.027467401804058017 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.3088235294117647, "acc_stderr": 0.03242661719827218, "acc_norm": 0.3088235294117647, "acc_norm_stderr": 0.03242661719827218 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.4050632911392405, "acc_stderr": 0.03195514741370673, "acc_norm": 0.4050632911392405, "acc_norm_stderr": 0.03195514741370673 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.38565022421524664, "acc_stderr": 0.03266842214289201, "acc_norm": 0.38565022421524664, "acc_norm_stderr": 0.03266842214289201 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.40458015267175573, "acc_stderr": 0.043046937953806645, "acc_norm": 0.40458015267175573, "acc_norm_stderr": 0.043046937953806645 }, "harness|hendrycksTest-international_law|5": { "acc": 0.4214876033057851, "acc_stderr": 0.045077322787750944, "acc_norm": 0.4214876033057851, "acc_norm_stderr": 0.045077322787750944 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.35185185185185186, "acc_stderr": 0.04616631111801714, "acc_norm": 0.35185185185185186, "acc_norm_stderr": 0.04616631111801714 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.26993865030674846, "acc_stderr": 0.034878251684978906, "acc_norm": 0.26993865030674846, "acc_norm_stderr": 0.034878251684978906 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.35714285714285715, "acc_stderr": 0.04547960999764376, "acc_norm": 0.35714285714285715, "acc_norm_stderr": 0.04547960999764376 }, "harness|hendrycksTest-management|5": { "acc": 0.34951456310679613, "acc_stderr": 0.047211885060971716, "acc_norm": 0.34951456310679613, "acc_norm_stderr": 0.047211885060971716 }, "harness|hendrycksTest-marketing|5": { "acc": 0.43162393162393164, "acc_stderr": 0.0324483553531149, "acc_norm": 0.43162393162393164, "acc_norm_stderr": 0.0324483553531149 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.42, "acc_stderr": 0.049604496374885836, "acc_norm": 0.42, "acc_norm_stderr": 0.049604496374885836 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.39080459770114945, "acc_stderr": 0.01744836606706253, "acc_norm": 0.39080459770114945, "acc_norm_stderr": 0.01744836606706253 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.315028901734104, "acc_stderr": 0.025009313790069713, "acc_norm": 0.315028901734104, "acc_norm_stderr": 0.025009313790069713 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.2424581005586592, "acc_stderr": 0.01433352205921789, "acc_norm": 0.2424581005586592, "acc_norm_stderr": 0.01433352205921789 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.34967320261437906, "acc_stderr": 0.027305308076274702, "acc_norm": 0.34967320261437906, "acc_norm_stderr": 0.027305308076274702 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.28938906752411575, "acc_stderr": 0.02575586592263294, "acc_norm": 0.28938906752411575, "acc_norm_stderr": 0.02575586592263294 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.32407407407407407, "acc_stderr": 0.026041766202717167, "acc_norm": 0.32407407407407407, "acc_norm_stderr": 0.026041766202717167 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.3262411347517731, "acc_stderr": 0.027968453043563168, "acc_norm": 0.3262411347517731, "acc_norm_stderr": 0.027968453043563168 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.273142112125163, "acc_stderr": 0.01138015056783041, "acc_norm": 0.273142112125163, "acc_norm_stderr": 0.01138015056783041 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.375, "acc_stderr": 0.029408372932278746, "acc_norm": 0.375, "acc_norm_stderr": 0.029408372932278746 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.30392156862745096, "acc_stderr": 0.018607552131279834, "acc_norm": 0.30392156862745096, "acc_norm_stderr": 0.018607552131279834 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.36363636363636365, "acc_stderr": 0.04607582090719976, "acc_norm": 0.36363636363636365, "acc_norm_stderr": 0.04607582090719976 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.22448979591836735, "acc_stderr": 0.026711430555538408, "acc_norm": 0.22448979591836735, "acc_norm_stderr": 0.026711430555538408 }, "harness|hendrycksTest-sociology|5": { "acc": 0.3482587064676617, "acc_stderr": 0.033687874661154596, "acc_norm": 0.3482587064676617, "acc_norm_stderr": 0.033687874661154596 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.36, "acc_stderr": 0.04824181513244218, "acc_norm": 0.36, "acc_norm_stderr": 0.04824181513244218 }, "harness|hendrycksTest-virology|5": { "acc": 0.30120481927710846, "acc_stderr": 0.0357160923005348, "acc_norm": 0.30120481927710846, "acc_norm_stderr": 0.0357160923005348 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.38011695906432746, "acc_stderr": 0.037229657413855394, "acc_norm": 0.38011695906432746, "acc_norm_stderr": 0.037229657413855394 }, "harness|truthfulqa:mc|0": { "mc1": 0.26193390452876375, "mc1_stderr": 0.015392118805015023, "mc2": 0.4032485125499964, "mc2_stderr": 0.014292284301112663 }, "harness|winogrande|5": { "acc": 0.6353591160220995, "acc_stderr": 0.013527746622429844 }, "harness|drop|3": { "em": 0.22766359060402686, "em_stderr": 0.004294273453162853, "f1": 0.266680998322148, "f1_stderr": 0.00428696034436648 }, "harness|gsm8k|5": { "acc": 0.06368460955269144, "acc_stderr": 0.006726213078805701 } }

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