Hello all,
I would want to fine-tune gpt-3 using a multi-label classification dataset i.e Few-shot learning. There are no examples or any relevant info given in the docs.
Any one had tried something with multi-label dataset?
Thanks,
Cassin
Hello all,
I would want to fine-tune gpt-3 using a multi-label classification dataset i.e Few-shot learning. There are no examples or any relevant info given in the docs.
Any one had tried something with multi-label dataset?
Thanks,
Cassin
Hi @cassinthangam4996 did you manage to find a solution?? I am trying to find my way through this problem of multi-label fine tuning. thank you
I think I have found a solution to the multi-label classification problem. It appears to be working well so far. You can get up to 5 classes this way.
I am finding that in a lot of cases, anything > -4.0 is relevant, but I am still experimenting. Some classes are working better than others, of course.