I named it BERT_IL becuase its Swedish ;)
I wrote a small paper on how to fine tune KB BERT model for sentiemnt analysis using around ~15000 examples. This was an exploratory investigation for current swedish BERT model(released 2020).
The results show KB-BERT performs with a 60% accuracy when it comes to sentiment analysis. Which is very poor however there were a few papers that depicts that if bert is trained with dataset containing around ~20k examples, it could perform very well.