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

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-pcm")
model = AutoModelForTokenClassification.from_pretrained("wietsedv/xlm-roberta-base-ft-udpos28-pcm")
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Dataset used to train wietsedv/xlm-roberta-base-ft-udpos28-pcm

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

Evaluation results

  • English Test accuracy on Universal Dependencies v2.8
    self-reported
    77.200
  • Dutch Test accuracy on Universal Dependencies v2.8
    self-reported
    75.200
  • German Test accuracy on Universal Dependencies v2.8
    self-reported
    73.200
  • Italian Test accuracy on Universal Dependencies v2.8
    self-reported
    68.900
  • French Test accuracy on Universal Dependencies v2.8
    self-reported
    74.000
  • Spanish Test accuracy on Universal Dependencies v2.8
    self-reported
    75.100
  • Russian Test accuracy on Universal Dependencies v2.8
    self-reported
    70.300
  • Swedish Test accuracy on Universal Dependencies v2.8
    self-reported
    78.900
  • Norwegian Test accuracy on Universal Dependencies v2.8
    self-reported
    74.300
  • Danish Test accuracy on Universal Dependencies v2.8
    self-reported
    73.400