XLM-RoBERTa base Universal Dependencies v2.8 POS tagging: Tamil
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-ta")
model = AutoModelForTokenClassification.from_pretrained("wietsedv/xlm-roberta-base-ft-udpos28-ta")
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Dataset used to train wietsedv/xlm-roberta-base-ft-udpos28-ta
Space using wietsedv/xlm-roberta-base-ft-udpos28-ta 1
Evaluation results
- English Test accuracy on Universal Dependencies v2.8self-reported68.100
- Dutch Test accuracy on Universal Dependencies v2.8self-reported64.000
- German Test accuracy on Universal Dependencies v2.8self-reported65.800
- Italian Test accuracy on Universal Dependencies v2.8self-reported61.200
- French Test accuracy on Universal Dependencies v2.8self-reported56.900
- Spanish Test accuracy on Universal Dependencies v2.8self-reported59.500
- Russian Test accuracy on Universal Dependencies v2.8self-reported74.300
- Swedish Test accuracy on Universal Dependencies v2.8self-reported69.100
- Norwegian Test accuracy on Universal Dependencies v2.8self-reported64.800
- Danish Test accuracy on Universal Dependencies v2.8self-reported70.000