setfit
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Compare with other approaches
Dumb question:
How does setfit compare with other approaches for sentence classification in low data settings? Two that may be worth comparing to:
- Various techniques for augmented SBERT
- Simple Contrastive Learning SimCSE
Pros and cons of these approaches? Thoughts?
The augmented SBERT link is faulty: there's a /
missing. The augmented SBERT link does work.
Those would be very interesting to compare against. I'm not sure if anyone has tried to do so yet.
Thanks for the correction. :)
Yes I agree. Is there some dataset that we could use as a good benchmark?