How to look at the loss value?
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enhancement
- Dominant language
- Python
- Stars
- 8.3k
- Forks
- 871
- Avg merge
- 1d 13h
- Merged PRs (30d)
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Description
Is there a possibility to print the loss value during the optimization process? Or at least after the last epoch?
It would make sense to add this feature, as it would help to set an appropriate number of epochs when one tunes the algorithm for specific data.
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 file, test, or entry point is named in the issue. Start by locating the optimization loop and its epoch handling, then determine how the loss value can be exposed or printed during optimization or after the final epoch. Done means users can inspect the loss while tuning the number of epochs.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100