zhanghang1989 / zhanghang1989/PyTorch-Encoding
question about BN when test
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 2k
- Forks
- 448
- PR merge metrics
- No merged PRs in 30d
Description
traing the model the loss is normal, but then test , after eval , the loss is higher then random init params. Then I save the model, and I load the saved model, even traing or testing the loss still higher then random init. QAQ. THANKS
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No file, test, or entry point is named. Reproduce the reported training and evaluation loss with batch normalization, then compare random-initialized, trained, saved, and reloaded models; done means identifying a reproducible cause or documenting the missing information needed to diagnose it.
Written by the indexing model from the issue text.
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
- 20/100