 as you have found a bug. E.g., if you train a model and get an error at some point during the training, you should first try to understand what part of the training code is responsible for the error and try to reproduce it with a couple of lines. Try to use dummy data instead of full datasets.
Add links. If you are referring to a certain naming, method, or model make sure to provide a link so that the reader can better understand what you mean