XLM-RoBERTa base Universal Dependencies v2.8 POS tagging: Latvian
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-lv")
model = AutoModelForTokenClassification.from_pretrained("wietsedv/xlm-roberta-base-ft-udpos28-lv")
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Dataset used to train wietsedv/xlm-roberta-base-ft-udpos28-lv
Space using wietsedv/xlm-roberta-base-ft-udpos28-lv 1
Evaluation results
- English Test accuracy on Universal Dependencies v2.8self-reported84.700
- Dutch Test accuracy on Universal Dependencies v2.8self-reported85.600
- German Test accuracy on Universal Dependencies v2.8self-reported82.500
- Italian Test accuracy on Universal Dependencies v2.8self-reported84.300
- French Test accuracy on Universal Dependencies v2.8self-reported84.100
- Spanish Test accuracy on Universal Dependencies v2.8self-reported84.700
- Russian Test accuracy on Universal Dependencies v2.8self-reported92.100
- Swedish Test accuracy on Universal Dependencies v2.8self-reported86.800
- Norwegian Test accuracy on Universal Dependencies v2.8self-reported81.300
- Danish Test accuracy on Universal Dependencies v2.8self-reported86.000