XLM-RoBERTa base Universal Dependencies v2.8 POS tagging: Slovak

This model is part of our paper called:

Make the Best of Cross-lingual Transfer: Evidence from POS Tagging with over 100 Languages

Check the Space for more details.

Usage

from transformers import AutoTokenizer, AutoModelForTokenClassification

tokenizer = AutoTokenizer.from_pretrained("wietsedv/xlm-roberta-base-ft-udpos28-sk")
model = AutoModelForTokenClassification.from_pretrained("wietsedv/xlm-roberta-base-ft-udpos28-sk")

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Inference Examples

Token Classification

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Dataset used to train wietsedv/xlm-roberta-base-ft-udpos28-sk

Space using wietsedv/xlm-roberta-base-ft-udpos28-sk 1

Evaluation results

English Test accuracy on Universal Dependencies v2.8
self-reported

82.600
Dutch Test accuracy on Universal Dependencies v2.8
self-reported

84.200
German Test accuracy on Universal Dependencies v2.8
self-reported

79.400
Italian Test accuracy on Universal Dependencies v2.8
self-reported

82.000
French Test accuracy on Universal Dependencies v2.8
self-reported

83.900
Spanish Test accuracy on Universal Dependencies v2.8
self-reported

87.900
Russian Test accuracy on Universal Dependencies v2.8
self-reported

90.500
Swedish Test accuracy on Universal Dependencies v2.8
self-reported

84.600
Norwegian Test accuracy on Universal Dependencies v2.8
self-reported

77.900
Danish Test accuracy on Universal Dependencies v2.8
self-reported

82.200

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