Code Monkey home page Code Monkey logo

Comments (1)

xusenlinzy avatar xusenlinzy commented on July 22, 2024

  1. 您好，我不是苏神😅，根据苏神博客里面说的是：相比于“multi hot”版的多标签交叉熵，使用稀疏版多标签交叉熵的模型在训练速度上能提高1.5倍而不会损失精度。

  2. 本仓库支持稀疏版loss训练，请安装最新版本litie==0.2.5，训练示例见 global_pointer_sparse.sh，您可以测试一下效果

  3. 如果您做的是实体抽取任务的话，我觉得可以将4096长度的句子按照语义切分成不超过512长度的若干短句子，基于这些短句子来训练EGP模型，推理的时候同样将长句子切分，最后将各个句子的抽取结果整合起来。

from lit-ie.

Related Issues (8)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.