ElhBERTeu model finetuned for POS tagging on Universal Dependencies 1.2 corpus (eiec).

Results on test set:

• accuracy = 0.9793222286042504
• f1 = 0.9712429365605912
• loss = 0.12006692268620504
• precision = 0.9708653494328576
• recall = 0.9716208175035475

Tagset: [ADJ, ADP, ADV, AUX, CONJ, DET, INTJ, NOUN, NUM, PART, PRON, PROPN, PUNCT, SYM, VERB, X]

Finetuning details: 10 epochs, batch size 32, learning rate 3e-5.