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I have a text multi-label classification task,can i use supCon loss ?
supCon loss is accumulated by every label view,for example:
`batch data label = [[1, 0, 1], [0, 1, 1], [1, 1, 0], [0, 1, 1] ]`
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欢迎您使用PaddleClas并反馈相关问题,非常感谢您对PaddleClas的贡献!
提出issue时,辛苦您提供以下信息,方便我们快速定位问题并及时有效地解决您的问题:
1. PaddleClas版本以及PaddlePaddle版本:请您提供您使用的版本号或分支信息,如PaddleClas release/2.2和PaddlePaddle 2.1.0
2. 涉及的其他产品使用的版本号…
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I'm working in a hierarchical multi class problem, and if I flat the labels (flat approach) I have about 1193 classes, which perhaps can already be consider a extreme multi classification problem. F…
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http://dl.acm.org/citation.cfm?id=3080834
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Hello, thanks you for your great work!
Now,I am doing research on multi label classification.
Can you upload the entire code structure?
I want to reproduce your work!
Thank you!
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How can I use DistilBERT for multi-label classification for building a fast and deploy-able model?
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### System Info
transformers.js v3 alpha 12-19, webapp chrome latest stable
### Environment/Platform
- [X] Website/web-app
- [ ] Browser extension
- [ ] Server-side (e.g., Node.js, Deno, Bu…
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Please confirm you have the latest versions of fastai, fastcore, and nbdev prior to reporting a bug (delete one): YES
**Describe the bug**
I'm trying to use the confusion matrix for multi label im…