Hey @vish
Span Categorizer can handle spans longer than NER, but spans of several lines including entire paragraphs
can affect the model performance due the number of span suggestions from the n-gram suggester.
Here's a relevant spaCy post on the topic:
You might need to experiment with the configuration of the suggester function as explained in this thread on memory errors with long spans: spancat out of memory - #2 by ines
If your spans cover entire sentences and sequences of them, reframing the task as text (sentences) classification will often be easier to learn.