How to fix labels on an AutoTrained model
I am trying to do some multi-classification, and used the AutoNLP function to help out. I used my own data which, unfortunately, wasn’t as clean as I thought. Now, the specific issue is that there are duplicate labels, with different casing. One is “growth” and the other “Growth”. Then, when testing, the probability is split between them.Is there a simple and elegant fix? I’m kinda hoping that just deleting the duplicate label on the config.json file would work, but don’t know.Thanks for the help.
2022-05-31T05:54:30Z
Hi.There are some model support uncased pre-trained model.i think your train model can get robust at cased-problem.regards.