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Also, since it uses BinaryClassificationProcessor, it creates the logits tensor with size of [10,2] (say, my input file has 10 texts). After view(-1), logits becomes size=20 but the labels are still size=10. Hence, MSELoss() returns the following size mismatch error:
Hi,
I am trying to predict a score (float) using regression and I was wondering what changes need to be made in lines 254 and 258 in utils.py
Thanks!
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