Re:SentenceTransformers: Python framework for sentence, text...
by whakim on Monday April 08, 2024 @05:59PM
(#39974176)
I've tried PCA (and perhaps more usefully, UMAP) and while can be great for stuff like unsupervised learning, I think the trick is to choose a classifier (as per my comment above) that can do a good job with high-dimensional data.
I should have clarified that it really depends on the model. I have had this problem to a greater extent with the GTE and BGE embeddings. But I use them anyway, because they’re so strong overall.
PCA is an interesting idea, and worth looking at.