Student

Also, I found in the training file for the restaurant dataset you consider just 3 labels (0.1.2), I misunderstand? "test_f1 = f1_score(torch.argmax(test_apc_logits_all, -1).cpu(), test_polarities_all.cpu(), labels=[0, 1, 2], average='macro')"

Thank you very much

Do you solve the problem?

Yes , it is very helpful Thank you very much

please , another question for testing ,to compare prediction list with original label list(y-true ), how we can get y-true

Thanks a lot. how I can update the code the get the evaluation result for every lable (pos and tags) for example the f1 and accuracy for pos and for...