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")

Downloads last month: 9

Inference Examples

Token Classification

This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

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

View on Papers With Code