Is multi-token iPET be able to trained on a multi-class classification dataset?

[GryffindorLi]

Hi, I want to adapt muti-token iPET to a multi-classification task. However, all examples in the paper are binary classification. I am wondering can iPET be trained for multi-classification tasks?

[chris-aeviator]

I remember Timo Schick mentioning that this is not possible yet somewhere in this repository a while ago.

I used plain Bert to train my multi classification task

[XiaoqingNLP]

@GryffindorLi @chris-aeviator I think it is possible to support multiple categories.
Initially, I understand that PET can be used on multiple tokens, so it should be able to be adapted to multi-category tasks.
Besides PET, I can think of two ways to use it, but I'm not sure which one will work better

1. classify multi-categories by number 1-N (N>10) and then predict the number to classify? This will lose semantic information
2. splice the multiclassification labels after the text as a generation task and let the model do the generation of the labels?