Hi again,
I trained my model and fine-tuned it on a custom dataset for NER, as stated in my first post.
But my results are poor. F1 for bert-base-uncased is 0.619 and my own model on the same task has F1 = 0.0667. How is it possible that my model is much worse than the base bert? Do you have any ideas?
Thanks and Regards