9.38 kB
--- | |
language: | |
- eu | |
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-eu | |
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: 65.8 | |
- type: accuracy | |
name: Dutch Test accuracy | |
value: 63.5 | |
- type: accuracy | |
name: German Test accuracy | |
value: 66.3 | |
- type: accuracy | |
name: Italian Test accuracy | |
value: 65.5 | |
- type: accuracy | |
name: French Test accuracy | |
value: 61.2 | |
- type: accuracy | |
name: Spanish Test accuracy | |
value: 62.0 | |
- type: accuracy | |
name: Russian Test accuracy | |
value: 74.9 | |
- type: accuracy | |
name: Swedish Test accuracy | |
value: 66.6 | |
- type: accuracy | |
name: Norwegian Test accuracy | |
value: 61.8 | |
- type: accuracy | |
name: Danish Test accuracy | |
value: 66.5 | |
- type: accuracy | |
name: Low Saxon Test accuracy | |
value: 48.3 | |
- type: accuracy | |
name: Akkadian Test accuracy | |
value: 40.9 | |
- type: accuracy | |
name: Armenian Test accuracy | |
value: 80.8 | |
- type: accuracy | |
name: Welsh Test accuracy | |
value: 53.5 | |
- type: accuracy | |
name: Old East Slavic Test accuracy | |
value: 65.1 | |
- type: accuracy | |
name: Albanian Test accuracy | |
value: 66.9 | |
- type: accuracy | |
name: Slovenian Test accuracy | |
value: 67.3 | |
- type: accuracy | |
name: Guajajara Test accuracy | |
value: 32.0 | |
- type: accuracy | |
name: Kurmanji Test accuracy | |
value: 66.2 | |
- type: accuracy | |
name: Turkish Test accuracy | |
value: 75.7 | |
- type: accuracy | |
name: Finnish Test accuracy | |
value: 79.2 | |
- type: accuracy | |
name: Indonesian Test accuracy | |
value: 71.5 | |
- type: accuracy | |
name: Ukrainian Test accuracy | |
value: 74.6 | |
- type: accuracy | |
name: Polish Test accuracy | |
value: 73.8 | |
- type: accuracy | |
name: Portuguese Test accuracy | |
value: 69.5 | |
- type: accuracy | |
name: Kazakh Test accuracy | |
value: 84.0 | |
- type: accuracy | |
name: Latin Test accuracy | |
value: 68.1 | |
- type: accuracy | |
name: Old French Test accuracy | |
value: 45.0 | |
- type: accuracy | |
name: Buryat Test accuracy | |
value: 66.6 | |
- type: accuracy | |
name: Kaapor Test accuracy | |
value: 27.9 | |
- type: accuracy | |
name: Korean Test accuracy | |
value: 65.4 | |
- type: accuracy | |
name: Estonian Test accuracy | |
value: 79.4 | |
- type: accuracy | |
name: Croatian Test accuracy | |
value: 74.6 | |
- type: accuracy | |
name: Gothic Test accuracy | |
value: 30.8 | |
- type: accuracy | |
name: Swiss German Test accuracy | |
value: 41.3 | |
- type: accuracy | |
name: Assyrian Test accuracy | |
value: 15.9 | |
- type: accuracy | |
name: North Sami Test accuracy | |
value: 41.9 | |
- type: accuracy | |
name: Naija Test accuracy | |
value: 37.4 | |
- type: accuracy | |
name: Latvian Test accuracy | |
value: 79.8 | |
- type: accuracy | |
name: Chinese Test accuracy | |
value: 46.9 | |
- type: accuracy | |
name: Tagalog Test accuracy | |
value: 56.6 | |
- type: accuracy | |
name: Bambara Test accuracy | |
value: 29.8 | |
- type: accuracy | |
name: Lithuanian Test accuracy | |
value: 80.9 | |
- type: accuracy | |
name: Galician Test accuracy | |
value: 68.7 | |
- type: accuracy | |
name: Vietnamese Test accuracy | |
value: 63.8 | |
- type: accuracy | |
name: Greek Test accuracy | |
value: 65.3 | |
- type: accuracy | |
name: Catalan Test accuracy | |
value: 58.0 | |
- type: accuracy | |
name: Czech Test accuracy | |
value: 74.0 | |
- type: accuracy | |
name: Erzya Test accuracy | |
value: 49.4 | |
- type: accuracy | |
name: Bhojpuri Test accuracy | |
value: 53.4 | |
- type: accuracy | |
name: Thai Test accuracy | |
value: 53.1 | |
- type: accuracy | |
name: Marathi Test accuracy | |
value: 78.5 | |
- type: accuracy | |
name: Basque Test accuracy | |
value: 95.7 | |
- type: accuracy | |
name: Slovak Test accuracy | |
value: 75.9 | |
- type: accuracy | |
name: Kiche Test accuracy | |
value: 35.3 | |
- type: accuracy | |
name: Yoruba Test accuracy | |
value: 28.4 | |
- type: accuracy | |
name: Warlpiri Test accuracy | |
value: 43.3 | |
- type: accuracy | |
name: Tamil Test accuracy | |
value: 86.5 | |
- type: accuracy | |
name: Maltese Test accuracy | |
value: 35.5 | |
- type: accuracy | |
name: Ancient Greek Test accuracy | |
value: 59.2 | |
- type: accuracy | |
name: Icelandic Test accuracy | |
value: 65.2 | |
- type: accuracy | |
name: Mbya Guarani Test accuracy | |
value: 35.4 | |
- type: accuracy | |
name: Urdu Test accuracy | |
value: 64.4 | |
- type: accuracy | |
name: Romanian Test accuracy | |
value: 68.9 | |
- type: accuracy | |
name: Persian Test accuracy | |
value: 63.9 | |
- type: accuracy | |
name: Apurina Test accuracy | |
value: 39.4 | |
- type: accuracy | |
name: Japanese Test accuracy | |
value: 39.2 | |
- type: accuracy | |
name: Hungarian Test accuracy | |
value: 69.6 | |
- type: accuracy | |
name: Hindi Test accuracy | |
value: 68.7 | |
- type: accuracy | |
name: Classical Chinese Test accuracy | |
value: 27.9 | |
- type: accuracy | |
name: Komi Permyak Test accuracy | |
value: 52.0 | |
- type: accuracy | |
name: Faroese Test accuracy | |
value: 62.5 | |
- type: accuracy | |
name: Sanskrit Test accuracy | |
value: 40.8 | |
- type: accuracy | |
name: Livvi Test accuracy | |
value: 65.8 | |
- type: accuracy | |
name: Arabic Test accuracy | |
value: 63.5 | |
- type: accuracy | |
name: Wolof Test accuracy | |
value: 37.6 | |
- type: accuracy | |
name: Bulgarian Test accuracy | |
value: 68.8 | |
- type: accuracy | |
name: Akuntsu Test accuracy | |
value: 41.1 | |
- type: accuracy | |
name: Makurap Test accuracy | |
value: 24.0 | |
- type: accuracy | |
name: Kangri Test accuracy | |
value: 54.3 | |
- type: accuracy | |
name: Breton Test accuracy | |
value: 52.9 | |
- type: accuracy | |
name: Telugu Test accuracy | |
value: 82.4 | |
- type: accuracy | |
name: Cantonese Test accuracy | |
value: 49.0 | |
- type: accuracy | |
name: Old Church Slavonic Test accuracy | |
value: 46.7 | |
- type: accuracy | |
name: Karelian Test accuracy | |
value: 71.1 | |
- type: accuracy | |
name: Upper Sorbian Test accuracy | |
value: 65.9 | |
- type: accuracy | |
name: South Levantine Arabic Test accuracy | |
value: 61.3 | |
- type: accuracy | |
name: Komi Zyrian Test accuracy | |
value: 47.2 | |
- type: accuracy | |
name: Irish Test accuracy | |
value: 53.7 | |
- type: accuracy | |
name: Nayini Test accuracy | |
value: 41.0 | |
- type: accuracy | |
name: Munduruku Test accuracy | |
value: 26.4 | |
- type: accuracy | |
name: Manx Test accuracy | |
value: 33.3 | |
- type: accuracy | |
name: Skolt Sami Test accuracy | |
value: 45.5 | |
- type: accuracy | |
name: Afrikaans Test accuracy | |
value: 61.2 | |
- type: accuracy | |
name: Old Turkish Test accuracy | |
value: 37.1 | |
- type: accuracy | |
name: Tupinamba Test accuracy | |
value: 44.8 | |
- type: accuracy | |
name: Belarusian Test accuracy | |
value: 74.6 | |
- type: accuracy | |
name: Serbian Test accuracy | |
value: 74.5 | |
- type: accuracy | |
name: Moksha Test accuracy | |
value: 46.1 | |
- type: accuracy | |
name: Western Armenian Test accuracy | |
value: 77.4 | |
- type: accuracy | |
name: Scottish Gaelic Test accuracy | |
value: 48.8 | |
- type: accuracy | |
name: Khunsari Test accuracy | |
value: 39.2 | |
- type: accuracy | |
name: Hebrew Test accuracy | |
value: 80.2 | |
- type: accuracy | |
name: Uyghur Test accuracy | |
value: 75.3 | |
- type: accuracy | |
name: Chukchi Test accuracy | |
value: 41.2 | |
--- | |
# XLM-RoBERTa base Universal Dependencies v2.8 POS tagging: Basque | |
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-eu") | |
model = AutoModelForTokenClassification.from_pretrained("wietsedv/xlm-roberta-base-ft-udpos28-eu") | |
``` | |