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wietsedv
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xlm-roberta-base-ft-udpos28-grc

Token Classification
Transformers
PyTorch
Safetensors
Ancient Greek (to 1453)
xlm-roberta
part-of-speech
Eval Results
Inference Endpoints
Model card Files Community
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XLM-RoBERTa base Universal Dependencies v2.8 POS tagging: Ancient Greek

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-grc")
model = AutoModelForTokenClassification.from_pretrained("wietsedv/xlm-roberta-base-ft-udpos28-grc")
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Safetensors
Model size
277M params
Tensor type
I64
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F32
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Dataset used to train wietsedv/xlm-roberta-base-ft-udpos28-grc

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

Evaluation results

  • English Test accuracy on Universal Dependencies v2.8
    self-reported
    58.300
  • Dutch Test accuracy on Universal Dependencies v2.8
    self-reported
    57.100
  • German Test accuracy on Universal Dependencies v2.8
    self-reported
    61.300
  • Italian Test accuracy on Universal Dependencies v2.8
    self-reported
    56.600
  • French Test accuracy on Universal Dependencies v2.8
    self-reported
    57.300
  • Spanish Test accuracy on Universal Dependencies v2.8
    self-reported
    54.500
  • Russian Test accuracy on Universal Dependencies v2.8
    self-reported
    71.100
  • Swedish Test accuracy on Universal Dependencies v2.8
    self-reported
    62.900
  • Norwegian Test accuracy on Universal Dependencies v2.8
    self-reported
    59.900
  • Danish Test accuracy on Universal Dependencies v2.8
    self-reported
    61.600
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