EQA-PMR-large

我要开发同款
匿名用户2024年07月31日
53阅读

技术信息

开源地址
https://modelscope.cn/models/iic/EQA-PMR-large
授权协议
Apache License 2.0

作品详情

EQA-PMR-large

EQA-PMR-large is iitialized with PMR-large ad further fie-tued o 6 Extractive Questio Aswerig (EQA) traiig data from traiig split of MRQA.

The model performace o the i-dev sets are:

SQuAD NewsQA HotpotQA NaturalQuestios TriviaQA SearchQA
RoBERTa-large (sigle-task model) 94.2 73.8 81.6 83.3 85.1 85.7
PMR-large (sigle-task model) 94.5 74.0 83.6 83.8 85.1 88.3
EQA-PMR-large (multi-task model) 94.2 73.7 66.9 82.3 85.4 88.7

Note that the performace of RoBERTa-large ad PMR-large are sigle-task fie-tuig, while EQA-PMR-large is a multi-task fie-tued model. As it is fie-tued o multiple datasets, we believe that EQA-PMR-large has a better geeralizatio capability to other EQA tasks tha PMR-large ad RoBERTa-large.

How to use

You ca try the codes from this repo for both traiig ad iferece.

BibTeX etry ad citatio ifo

@article{xu2022clozig,
  title={From Clozig to Comprehedig: Retrofittig Pre-traied Laguage Model to Pre-traied Machie Reader},
  author={Xu, Weiwe ad Li, Xi ad Zhag, Wexua ad Zhou, Meg ad Big, Lidog ad Lam, Wai ad Si, Luo},
  joural={arXiv preprit arXiv:2212.04755},
  year={2022}
}

功能介绍

EQA-PMR-large EQA-PMR-large is initialized with PMR-large and further fine-tuned on 6 Extractive Que

声明:本文仅代表作者观点,不代表本站立场。如果侵犯到您的合法权益,请联系我们删除侵权资源!如果遇到资源链接失效,请您通过评论或工单的方式通知管理员。未经允许,不得转载,本站所有资源文章禁止商业使用运营!
下载安装【程序员客栈】APP
实时对接需求、及时收发消息、丰富的开放项目需求、随时随地查看项目状态

评论