lllyasviel / lllyasviel/ControlNet

when to stop training

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Dominant language
Python
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Description

hello everyone,
I am curious about the timing to stop the training. Is there a metric for evaluating the performance of the trained model?

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Research direction

The issue names no files, tests, or entry points. Start by clarifying which training workflow and model metric are in scope, then identify the relevant training documentation or code path. Done would require an agreed explanation of how to evaluate performance and when to stop training.

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Assessment

Tech stack
python
Domain
machine-learning
Issue type
Documentation
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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