Indonesian Roberta Base POSP Tagger

Token classification model for part-of-speech tagging using the Indonesian RoBERTa base architecture. It is based on the flax-community/indonesian-roberta-base model and has been trained on the indonlu dataset. The model evaluates performance using metrics such as precision, recall, F1 score, and accuracy. The results for the test split of the indonlu dataset show a precision of 0.9625 and a recall of 0.9625.