|
|
|
--- |
|
language: |
|
- pcm |
|
license: apache-2.0 |
|
library_name: transformers |
|
tags: |
|
- part-of-speech |
|
- token-classification |
|
datasets: |
|
- universal_dependencies |
|
metrics: |
|
- accuracy |
|
|
|
model-index: |
|
- name: xlm-roberta-base-ft-udpos28-pcm |
|
results: |
|
- task: |
|
type: token-classification |
|
name: Part-of-Speech Tagging |
|
dataset: |
|
type: universal_dependencies |
|
name: Universal Dependencies v2.8 |
|
metrics: |
|
- type: accuracy |
|
name: English Test accuracy |
|
value: 77.2 |
|
- type: accuracy |
|
name: Dutch Test accuracy |
|
value: 75.2 |
|
- type: accuracy |
|
name: German Test accuracy |
|
value: 73.2 |
|
- type: accuracy |
|
name: Italian Test accuracy |
|
value: 68.9 |
|
- type: accuracy |
|
name: French Test accuracy |
|
value: 74.0 |
|
- type: accuracy |
|
name: Spanish Test accuracy |
|
value: 75.1 |
|
- type: accuracy |
|
name: Russian Test accuracy |
|
value: 70.3 |
|
- type: accuracy |
|
name: Swedish Test accuracy |
|
value: 78.9 |
|
- type: accuracy |
|
name: Norwegian Test accuracy |
|
value: 74.3 |
|
- type: accuracy |
|
name: Danish Test accuracy |
|
value: 73.4 |
|
- type: accuracy |
|
name: Low Saxon Test accuracy |
|
value: 37.9 |
|
- type: accuracy |
|
name: Akkadian Test accuracy |
|
value: 28.0 |
|
- type: accuracy |
|
name: Armenian Test accuracy |
|
value: 65.4 |
|
- type: accuracy |
|
name: Welsh Test accuracy |
|
value: 59.7 |
|
- type: accuracy |
|
name: Old East Slavic Test accuracy |
|
value: 61.0 |
|
- type: accuracy |
|
name: Albanian Test accuracy |
|
value: 66.1 |
|
- type: accuracy |
|
name: Slovenian Test accuracy |
|
value: 67.6 |
|
- type: accuracy |
|
name: Guajajara Test accuracy |
|
value: 16.1 |
|
- type: accuracy |
|
name: Kurmanji Test accuracy |
|
value: 54.8 |
|
- type: accuracy |
|
name: Turkish Test accuracy |
|
value: 58.2 |
|
- type: accuracy |
|
name: Finnish Test accuracy |
|
value: 67.4 |
|
- type: accuracy |
|
name: Indonesian Test accuracy |
|
value: 68.5 |
|
- type: accuracy |
|
name: Ukrainian Test accuracy |
|
value: 68.1 |
|
- type: accuracy |
|
name: Polish Test accuracy |
|
value: 68.8 |
|
- type: accuracy |
|
name: Portuguese Test accuracy |
|
value: 72.9 |
|
- type: accuracy |
|
name: Kazakh Test accuracy |
|
value: 60.1 |
|
- type: accuracy |
|
name: Latin Test accuracy |
|
value: 64.3 |
|
- type: accuracy |
|
name: Old French Test accuracy |
|
value: 51.1 |
|
- type: accuracy |
|
name: Buryat Test accuracy |
|
value: 38.9 |
|
- type: accuracy |
|
name: Kaapor Test accuracy |
|
value: 16.7 |
|
- type: accuracy |
|
name: Korean Test accuracy |
|
value: 52.4 |
|
- type: accuracy |
|
name: Estonian Test accuracy |
|
value: 68.3 |
|
- type: accuracy |
|
name: Croatian Test accuracy |
|
value: 73.0 |
|
- type: accuracy |
|
name: Gothic Test accuracy |
|
value: 21.4 |
|
- type: accuracy |
|
name: Swiss German Test accuracy |
|
value: 33.4 |
|
- type: accuracy |
|
name: Assyrian Test accuracy |
|
value: 0.0 |
|
- type: accuracy |
|
name: North Sami Test accuracy |
|
value: 24.3 |
|
- type: accuracy |
|
name: Naija Test accuracy |
|
value: 97.9 |
|
- type: accuracy |
|
name: Latvian Test accuracy |
|
value: 66.3 |
|
- type: accuracy |
|
name: Chinese Test accuracy |
|
value: 34.3 |
|
- type: accuracy |
|
name: Tagalog Test accuracy |
|
value: 49.9 |
|
- type: accuracy |
|
name: Bambara Test accuracy |
|
value: 16.7 |
|
- type: accuracy |
|
name: Lithuanian Test accuracy |
|
value: 65.7 |
|
- type: accuracy |
|
name: Galician Test accuracy |
|
value: 72.4 |
|
- type: accuracy |
|
name: Vietnamese Test accuracy |
|
value: 54.3 |
|
- type: accuracy |
|
name: Greek Test accuracy |
|
value: 73.3 |
|
- type: accuracy |
|
name: Catalan Test accuracy |
|
value: 73.6 |
|
- type: accuracy |
|
name: Czech Test accuracy |
|
value: 69.5 |
|
- type: accuracy |
|
name: Erzya Test accuracy |
|
value: 22.1 |
|
- type: accuracy |
|
name: Bhojpuri Test accuracy |
|
value: 36.6 |
|
- type: accuracy |
|
name: Thai Test accuracy |
|
value: 65.4 |
|
- type: accuracy |
|
name: Marathi Test accuracy |
|
value: 50.3 |
|
- type: accuracy |
|
name: Basque Test accuracy |
|
value: 58.5 |
|
- type: accuracy |
|
name: Slovak Test accuracy |
|
value: 70.4 |
|
- type: accuracy |
|
name: Kiche Test accuracy |
|
value: 8.0 |
|
- type: accuracy |
|
name: Yoruba Test accuracy |
|
value: 6.1 |
|
- type: accuracy |
|
name: Warlpiri Test accuracy |
|
value: 15.4 |
|
- type: accuracy |
|
name: Tamil Test accuracy |
|
value: 60.1 |
|
- type: accuracy |
|
name: Maltese Test accuracy |
|
value: 12.2 |
|
- type: accuracy |
|
name: Ancient Greek Test accuracy |
|
value: 45.8 |
|
- type: accuracy |
|
name: Icelandic Test accuracy |
|
value: 72.5 |
|
- type: accuracy |
|
name: Mbya Guarani Test accuracy |
|
value: 11.4 |
|
- type: accuracy |
|
name: Urdu Test accuracy |
|
value: 59.1 |
|
- type: accuracy |
|
name: Romanian Test accuracy |
|
value: 64.8 |
|
- type: accuracy |
|
name: Persian Test accuracy |
|
value: 67.2 |
|
- type: accuracy |
|
name: Apurina Test accuracy |
|
value: 15.5 |
|
- type: accuracy |
|
name: Japanese Test accuracy |
|
value: 26.1 |
|
- type: accuracy |
|
name: Hungarian Test accuracy |
|
value: 68.6 |
|
- type: accuracy |
|
name: Hindi Test accuracy |
|
value: 65.0 |
|
- type: accuracy |
|
name: Classical Chinese Test accuracy |
|
value: 30.4 |
|
- type: accuracy |
|
name: Komi Permyak Test accuracy |
|
value: 21.2 |
|
- type: accuracy |
|
name: Faroese Test accuracy |
|
value: 61.6 |
|
- type: accuracy |
|
name: Sanskrit Test accuracy |
|
value: 25.6 |
|
- type: accuracy |
|
name: Livvi Test accuracy |
|
value: 39.7 |
|
- type: accuracy |
|
name: Arabic Test accuracy |
|
value: 63.5 |
|
- type: accuracy |
|
name: Wolof Test accuracy |
|
value: 15.9 |
|
- type: accuracy |
|
name: Bulgarian Test accuracy |
|
value: 74.6 |
|
- type: accuracy |
|
name: Akuntsu Test accuracy |
|
value: 26.5 |
|
- type: accuracy |
|
name: Makurap Test accuracy |
|
value: 11.6 |
|
- type: accuracy |
|
name: Kangri Test accuracy |
|
value: 27.8 |
|
- type: accuracy |
|
name: Breton Test accuracy |
|
value: 46.6 |
|
- type: accuracy |
|
name: Telugu Test accuracy |
|
value: 59.4 |
|
- type: accuracy |
|
name: Cantonese Test accuracy |
|
value: 30.7 |
|
- type: accuracy |
|
name: Old Church Slavonic Test accuracy |
|
value: 36.7 |
|
- type: accuracy |
|
name: Karelian Test accuracy |
|
value: 45.9 |
|
- type: accuracy |
|
name: Upper Sorbian Test accuracy |
|
value: 49.3 |
|
- type: accuracy |
|
name: South Levantine Arabic Test accuracy |
|
value: 42.5 |
|
- type: accuracy |
|
name: Komi Zyrian Test accuracy |
|
value: 18.4 |
|
- type: accuracy |
|
name: Irish Test accuracy |
|
value: 48.3 |
|
- type: accuracy |
|
name: Nayini Test accuracy |
|
value: 24.4 |
|
- type: accuracy |
|
name: Munduruku Test accuracy |
|
value: 16.1 |
|
- type: accuracy |
|
name: Manx Test accuracy |
|
value: 14.7 |
|
- type: accuracy |
|
name: Skolt Sami Test accuracy |
|
value: 5.4 |
|
- type: accuracy |
|
name: Afrikaans Test accuracy |
|
value: 76.5 |
|
- type: accuracy |
|
name: Old Turkish Test accuracy |
|
value: 0.0 |
|
- type: accuracy |
|
name: Tupinamba Test accuracy |
|
value: 16.3 |
|
- type: accuracy |
|
name: Belarusian Test accuracy |
|
value: 70.7 |
|
- type: accuracy |
|
name: Serbian Test accuracy |
|
value: 74.8 |
|
- type: accuracy |
|
name: Moksha Test accuracy |
|
value: 24.1 |
|
- type: accuracy |
|
name: Western Armenian Test accuracy |
|
value: 59.8 |
|
- type: accuracy |
|
name: Scottish Gaelic Test accuracy |
|
value: 45.4 |
|
- type: accuracy |
|
name: Khunsari Test accuracy |
|
value: 21.6 |
|
- type: accuracy |
|
name: Hebrew Test accuracy |
|
value: 65.6 |
|
- type: accuracy |
|
name: Uyghur Test accuracy |
|
value: 55.0 |
|
- type: accuracy |
|
name: Chukchi Test accuracy |
|
value: 12.6 |
|
--- |
|
|
|
# XLM-RoBERTa base Universal Dependencies v2.8 POS tagging: Naija |
|
|
|
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](https://huggingface.co/spaces/wietsedv/xpos) for more details. |
|
|
|
## Usage |
|
```python |
|
from transformers import AutoTokenizer, AutoModelForTokenClassification |
|
|
|
tokenizer = AutoTokenizer.from_pretrained("wietsedv/xlm-roberta-base-ft-udpos28-pcm") |
|
model = AutoModelForTokenClassification.from_pretrained("wietsedv/xlm-roberta-base-ft-udpos28-pcm") |
|
``` |
|
|
