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自动化 ROUGE 部署与使用

为你的 NLP 任务提供方便

docker-rouge155

我们尽力压缩了镜像的大小,提供了一个已经配置好的 ROUGE1.5.5 的 ubuntu 镜像。 熟悉 docker 的同行可以拿去二次开发,不熟悉的可以等 fastNLP-rouge 的代码整理出来。

使用方法

从 docker hub 获取镜像, docker pull willqvq/rouge155 。 启动容器,把待测试的文件映射到容器内测试即可。

性能

与系统分给 docker 的算力和文件映射的效率(使用 NFS 会导致文件映射变慢)相关。 经多次实验统计,使用 docker 耗时约为使用原生的 1.5 倍 - 2 倍。

fastNLP-rouge

代码还在整理中

reference

ROUGE-RELEASE-1.5.5 fastNLP

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