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

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

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Inference Examples

Token Classification

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

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

Evaluation results

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

73.400
Dutch Test accuracy on Universal Dependencies v2.8
self-reported

73.100
German Test accuracy on Universal Dependencies v2.8
self-reported

70.700
Italian Test accuracy on Universal Dependencies v2.8
self-reported

72.600
French Test accuracy on Universal Dependencies v2.8
self-reported

79.300
Spanish Test accuracy on Universal Dependencies v2.8
self-reported

78.000
Russian Test accuracy on Universal Dependencies v2.8
self-reported

68.800
Swedish Test accuracy on Universal Dependencies v2.8
self-reported

76.800
Norwegian Test accuracy on Universal Dependencies v2.8
self-reported

69.600
Danish Test accuracy on Universal Dependencies v2.8
self-reported

74.200

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