Give your Text Representation Models some Love: the Case for Basque
Table 2: Basque topic classification results on Argia corpus.
['[EMPTY]', '[BOLD] Micro F1', '[BOLD] Macro F1']
Firstly, it can be seen that every BMC-trained model outperforms its official counterpart for all the three settings, by at least 4% in all cases, for both micro and macro F1-scores. The best results are obtained by BERTeus. For each type of embedding or language models, the results show the effectiveness of developing your own models for your own language.