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This repository has been archived by the owner on Nov 29, 2022. It is now read-only.
TensorFlow's implementation of categorical cross-entropy accepts a parameter called ignore_class (see here) since v 2.10. In principle, it can be useful for NER tasks. It would be nice if such a parameter appeared in the calculation of focal loss, so an apple-to-apple comparison can be carried out.
The text was updated successfully, but these errors were encountered:
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Hi,
TensorFlow's implementation of categorical cross-entropy accepts a parameter called
ignore_class
(see here) since v 2.10. In principle, it can be useful for NER tasks. It would be nice if such a parameter appeared in the calculation of focal loss, so an apple-to-apple comparison can be carried out.The text was updated successfully, but these errors were encountered: