tensorflow / tensorflow/recommenders
Discrepancy in the loss value of model.evaluate
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- Dominant language
- Python
- Stars
- 2k
- Forks
- 300
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Description
While testing the TFRS model, there was a discrepancy in the testing loss. The losses were different, which I have marked as below capture.
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
No source file, test, or reproducible example is provided. Start by reconstructing the TFRS model.evaluate test described in the report and compare the two loss values shown in the screenshot. Done means identifying why the values differ and documenting or correcting the behavior with a reproducible test.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100