Don extbf{Abstract} ewline Modern methods in the machine learning field are data-intensive, requiring large labeled datasets for their training and optimal performance. However, large amounts of data for some languages and domains are not available. Self-supervised models can be used to train universal representations, and they are beneficial for transfer learning in downstream tasks.