Best solution to train multiclass model
Hello,I would like to train an NLP model that outputs a pair of labels (label1, label2), where label1 belongs to a set of possible labels, and label2 belongs to another set of possible labels, different from the first. I was currently thinking of using BERT for multiclassing, seeing the labels as 0/1, creating a single vector.So, if label1 belongs to a set of 5 labels, and label2 belongs to a set of 4 labels, I would create a single label of 9 values →[0, 0, 0, 0, 1, 0, 0, 1, 0]as an example.It’s correct? Can I do it in better ways?Thank you.