Fine tuning arabert for hate speech detection #176
Unanswered
7ananAhmed
asked this question in
Q&A
Replies: 1 comment
-
Yes, it is necessary to fine-tune arabert, since we only provide the pre-trained model. Check the papers at OSCAT5 for ways to deal with imbalanced data https://aclanthology.org/2022.osact-1.20/, as a start regular fine-tuning works good enough |
Beta Was this translation helpful? Give feedback.
0 replies
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
-
hello
I want to ask if I am using "Text-classification/Sentiment Analysis with Hyper Parameter tuning via Cross-Validation" example for hate speech detection. Is it necessary to fine-tune arabert? and how can I do it?
also, I want to ask about imbalanced data how can I handle it when using arabert model?
Beta Was this translation helpful? Give feedback.
All reactions