Offensive Language and Hate Speech Detection for Danish
Table 3: Results from sub-task A in English. ε=epochs.
['[BOLD] Model', '[BOLD] Data', '[BOLD] F1 [ITALIC] macro']
English. Fast-BiLSTM performs best, trained for 100 epochs, using the OLID dataset. The model achieves a macro averaged F1-score of 0.735. This result is comparable to the BiLSTM based methods in OffensEval.