Hi,
I use Trainer() to fine-tune bert-base-cased model on NER task.I split my dataset with sklearn.model_selection.train_test_split .
Now, I want to use k fold cross validation to split dataset and fine-tune the model.
Does anyone try the same way? plz tell me if you have any ideas.