tensorflow / tensorflow/recommenders
Question about the loss of model.evaluate
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- Dominant language
- Python
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Description
Hi there,
When I run the Quick start,
the losses were different,
which I have marked as below capture.
and I have build for my own model and same issue happened.
Could you find why this happening?
Thanks a lot.
Contributor guide
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
Reproduce the loss difference in the Quick start, then compare its model.evaluate output with the output from the reporter’s custom model. Use the attached capture and the reported loss values to trace where the results diverge; done means the discrepancy is explained and the expected evaluation behavior is documented or corrected.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100