lucidrains / lucidrains/vector-quantize-pytorch

about BSQ Loss

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Dominant language
Python
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Description

hi, I'm trying to use BSQ to train my model, and the curve of BSQ loss as follows. Is normal? I wonder that why the loss is negative at the beginning and then increases gradually? Looking forward to your reply!

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by locating the BSQ loss implementation and reproducing the training curve shown in the attachment. Check whether the loss definition permits negative values and whether its increase is expected; done means a documented explanation or a minimal reproduction if the behavior is incorrect.

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Assessment

Tech stack
python, pytorch
Domain
machine-learning
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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