How to choose the best trained model
Open
- Dominant language
- Python
- Stars
- 128
- Forks
- 15
- PR merge metrics
- No merged PRs in 30d
Description
Hi, how do I select a model for testing when I have trained it? Does it rely on the loss or the test effect on the validation set? Your code does not give how to choose the best model.
Contributor guide
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Research direction
The issue does not name a file, test, or entry point. Start by locating the training and validation workflow, then determine whether model selection is documented or implemented; done means the repository clearly explains how to choose the best trained model for testing.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100