Code Monkey home page Code Monkey logo

multitask's People

Contributors

tomtang110 avatar

Stargazers

avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar

Watchers

avatar avatar avatar

Forkers

rogerlu0 lfsblack supermc5657 realxm anonymousdestroyer miziha-zp xieyongyi ustclf albertleers shaosimon mttsky yilinmaster brooks0519 pudongdong chenzhongde txye bruno686 liujing1023 linqinhui seven-xu

multitask's Issues

ple训练程序运行不成功

C:/cece/2021/testple2/ple2/run.py:142: UserWarning: Using a target size (torch.Size([2048])) that is different to the input size (torch.Size([1])) is deprecated. Please ensure they have the same size.
Traceback (most recent call last):

File "", line 39, in
dev_auc1, dev_auc2, dev_loss1, dev_loss2 = evaluate(config,model, dev_iter)

File "C:/cece/2021/testple2/ple2/train_eval_snr.py", line 142, in evaluate
loss1 = config.loss_fn(outputs1.view(-1), label1,reduction='mean')

File "C:\software\WinPython-64bit-3.6.2.0Qt5\python-3.6.2.amd64\lib\site-packages\torch\nn\functional.py", line 2106, in binary_cross_entropy
"!= input nelement ({})".format(target.numel(), input.numel()))

ValueError: Target and input must have the same number of elements. target nelement (2048) != input nelement (1)

运行报上面错误，但是train_eval_snr.py文件我已经改为 #outputs,regul = model(trains)
outputs = model(trains)，还是报错，想不明白

PLE训练效果

hello，Tom
很棒的工作！
请问PLE训练的效果和论文里的一致么？我训练时差的挺多（loss没有用论文里的loss）

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.