中文生成式预训练模型

Overview

T5 PEGASUS

中文生成式预训练模型,以mT5为基础架构和初始权重,通过类似PEGASUS的方式进行预训练。

详情可见:https://kexue.fm/archives/8209

Tokenizer

我们将T5 PEGASUS的Tokenizer换成了BERT的Tokenizer,它对中文更加友好。同时,我们重新整理了一版词表,使得里边的字、词都更加完善,目前的vocab.txt共包含5万个token,真正覆盖了中文的常用字、词。

预训练任务

预训练任务模仿了PEGASUS的摘要式预训练。具体来说,假设一个文档有n个句子,我们从中挑出大约n/4个句子(可以不连续),使得这n/4个句子拼起来的文本,跟剩下的3n/4个句子拼起来的文本,最长公共子序列尽可能长,然后我们将3n/4个句子拼起来的文本视为原文,n/4个句子拼起来的文本视为摘要,通过这样的方式构成一个“(原文, 摘要)”的伪摘要数据对。

模型下载

目前开源的T5 PEGASUS是base版,总参数量为2.75亿,训练时最大长度为512,batch_size为96,学习率为10-4,使用6张3090训练了100万步,训练时间约13天,数据是30多G的精处理通用语料,训练acc约47%,训练loss约2.97。模型使用bert4keras进行编写、训练和测试。

运行环境:tensorflow 1.15 + keras 2.3.1 + bert4keras 0.10.0

链接: https://pan.baidu.com/s/1lQ9Dt9wZDO3IgiCL9tP-Ug 提取码: 3sfn

部分评测

摘要生成效果:

小样本学习:

如何引用

Bibtex:

@techreport{zhuiyit5pegasus,
  title={T5 PEGASUS - ZhuiyiAI},
  author={Jianlin Su},
  year={2021},
  url="https://github.com/ZhuiyiTechnology/t5-pegasus",
}

联系我们

邮箱:[email protected] 追一科技:https://zhuiyi.ai

Owner
Zhuiyi Technology is a leading enterprise intelligent service AI company in China. We focus on deep learning and NLP.
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