Before revision:  In previous research , hate speech detection models are typically evaluated by measuring their performance on held-out test data using metrics such as accuracy and F1 score.
After revision:  Typically , hate speech detection models are typically evaluated by measuring their performance on held-out test data using metrics such as accuracy and F1 score.