I am training a custom spacy model using prodigy annotations. This new model has five labels. However, when the results summary is displayed after n iterations of training it is always missing one label i.e. only shows results for four labels. I also made sure that my data is randomized so as to not cluster one set of labels together ( incase the splitting is done sequentially).
Any idea why this might happen? Also is there anyway of ensuring that there is per-label data in both training and evaluation?