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Update website/docs/api/spancategorizer.mdx

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Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
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@ -13,11 +13,11 @@ A span categorizer consists of two parts: a [suggester function](#suggesters)
that proposes candidate spans, which may or may not overlap, and a labeler model
that predicts zero or more labels for each candidate.
This component comes in two forms: `spancat` and `spancat_singlelabel`. When you
This component comes in two forms: `spancat` and `spancat_singlelabel` (added in spaCy v3.5.1). When you
need to perform multi-label classification on your spans, use `spancat`. The
`spancat` component uses a `Logistic` layer where the output class probabilities
are independent for each class. However, if you need to predict at most one true
class for a span, then use `spancat_singlelabel` <Tag variant="new">3.5.1</Tag>.
class for a span, then use `spancat_singlelabel`.
It uses a `Softmax` layer and treats the spans as a multi-class problem.
Predicted spans will be saved in a [`SpanGroup`](/api/spangroup) on the doc.