|
|
|
--- |
|
language: |
|
- lzh |
|
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-lzh |
|
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: 33.6 |
|
- type: accuracy |
|
name: Dutch Test accuracy |
|
value: 30.9 |
|
- type: accuracy |
|
name: German Test accuracy |
|
value: 31.1 |
|
- type: accuracy |
|
name: Italian Test accuracy |
|
value: 31.1 |
|
- type: accuracy |
|
name: French Test accuracy |
|
value: 30.3 |
|
- type: accuracy |
|
name: Spanish Test accuracy |
|
value: 30.6 |
|
- type: accuracy |
|
name: Russian Test accuracy |
|
value: 37.1 |
|
- type: accuracy |
|
name: Swedish Test accuracy |
|
value: 35.6 |
|
- type: accuracy |
|
name: Norwegian Test accuracy |
|
value: 32.7 |
|
- type: accuracy |
|
name: Danish Test accuracy |
|
value: 35.0 |
|
- type: accuracy |
|
name: Low Saxon Test accuracy |
|
value: 19.0 |
|
- type: accuracy |
|
name: Akkadian Test accuracy |
|
value: 25.9 |
|
- type: accuracy |
|
name: Armenian Test accuracy |
|
value: 40.9 |
|
- type: accuracy |
|
name: Welsh Test accuracy |
|
value: 27.3 |
|
- type: accuracy |
|
name: Old East Slavic Test accuracy |
|
value: 36.4 |
|
- type: accuracy |
|
name: Albanian Test accuracy |
|
value: 31.6 |
|
- type: accuracy |
|
name: Slovenian Test accuracy |
|
value: 31.1 |
|
- type: accuracy |
|
name: Guajajara Test accuracy |
|
value: 13.9 |
|
- type: accuracy |
|
name: Kurmanji Test accuracy |
|
value: 36.5 |
|
- type: accuracy |
|
name: Turkish Test accuracy |
|
value: 42.7 |
|
- type: accuracy |
|
name: Finnish Test accuracy |
|
value: 45.0 |
|
- type: accuracy |
|
name: Indonesian Test accuracy |
|
value: 40.6 |
|
- type: accuracy |
|
name: Ukrainian Test accuracy |
|
value: 36.0 |
|
- type: accuracy |
|
name: Polish Test accuracy |
|
value: 35.3 |
|
- type: accuracy |
|
name: Portuguese Test accuracy |
|
value: 34.8 |
|
- type: accuracy |
|
name: Kazakh Test accuracy |
|
value: 45.4 |
|
- type: accuracy |
|
name: Latin Test accuracy |
|
value: 37.9 |
|
- type: accuracy |
|
name: Old French Test accuracy |
|
value: 33.4 |
|
- type: accuracy |
|
name: Buryat Test accuracy |
|
value: 27.2 |
|
- type: accuracy |
|
name: Kaapor Test accuracy |
|
value: 19.6 |
|
- type: accuracy |
|
name: Korean Test accuracy |
|
value: 44.8 |
|
- type: accuracy |
|
name: Estonian Test accuracy |
|
value: 41.4 |
|
- type: accuracy |
|
name: Croatian Test accuracy |
|
value: 34.2 |
|
- type: accuracy |
|
name: Gothic Test accuracy |
|
value: 12.3 |
|
- type: accuracy |
|
name: Swiss German Test accuracy |
|
value: 18.1 |
|
- type: accuracy |
|
name: Assyrian Test accuracy |
|
value: 3.5 |
|
- type: accuracy |
|
name: North Sami Test accuracy |
|
value: 8.9 |
|
- type: accuracy |
|
name: Naija Test accuracy |
|
value: 25.4 |
|
- type: accuracy |
|
name: Latvian Test accuracy |
|
value: 45.0 |
|
- type: accuracy |
|
name: Chinese Test accuracy |
|
value: 53.2 |
|
- type: accuracy |
|
name: Tagalog Test accuracy |
|
value: 34.0 |
|
- type: accuracy |
|
name: Bambara Test accuracy |
|
value: 13.9 |
|
- type: accuracy |
|
name: Lithuanian Test accuracy |
|
value: 44.0 |
|
- type: accuracy |
|
name: Galician Test accuracy |
|
value: 29.0 |
|
- type: accuracy |
|
name: Vietnamese Test accuracy |
|
value: 40.9 |
|
- type: accuracy |
|
name: Greek Test accuracy |
|
value: 31.3 |
|
- type: accuracy |
|
name: Catalan Test accuracy |
|
value: 29.6 |
|
- type: accuracy |
|
name: Czech Test accuracy |
|
value: 35.4 |
|
- type: accuracy |
|
name: Erzya Test accuracy |
|
value: 9.6 |
|
- type: accuracy |
|
name: Bhojpuri Test accuracy |
|
value: 22.9 |
|
- type: accuracy |
|
name: Thai Test accuracy |
|
value: 51.6 |
|
- type: accuracy |
|
name: Marathi Test accuracy |
|
value: 36.8 |
|
- type: accuracy |
|
name: Basque Test accuracy |
|
value: 42.1 |
|
- type: accuracy |
|
name: Slovak Test accuracy |
|
value: 36.3 |
|
- type: accuracy |
|
name: Kiche Test accuracy |
|
value: 11.9 |
|
- type: accuracy |
|
name: Yoruba Test accuracy |
|
value: 10.9 |
|
- type: accuracy |
|
name: Warlpiri Test accuracy |
|
value: 15.0 |
|
- type: accuracy |
|
name: Tamil Test accuracy |
|
value: 53.4 |
|
- type: accuracy |
|
name: Maltese Test accuracy |
|
value: 9.4 |
|
- type: accuracy |
|
name: Ancient Greek Test accuracy |
|
value: 31.9 |
|
- type: accuracy |
|
name: Icelandic Test accuracy |
|
value: 38.4 |
|
- type: accuracy |
|
name: Mbya Guarani Test accuracy |
|
value: 7.1 |
|
- type: accuracy |
|
name: Urdu Test accuracy |
|
value: 33.4 |
|
- type: accuracy |
|
name: Romanian Test accuracy |
|
value: 33.5 |
|
- type: accuracy |
|
name: Persian Test accuracy |
|
value: 35.2 |
|
- type: accuracy |
|
name: Apurina Test accuracy |
|
value: 11.9 |
|
- type: accuracy |
|
name: Japanese Test accuracy |
|
value: 39.6 |
|
- type: accuracy |
|
name: Hungarian Test accuracy |
|
value: 37.2 |
|
- type: accuracy |
|
name: Hindi Test accuracy |
|
value: 33.0 |
|
- type: accuracy |
|
name: Classical Chinese Test accuracy |
|
value: 88.0 |
|
- type: accuracy |
|
name: Komi Permyak Test accuracy |
|
value: 11.3 |
|
- type: accuracy |
|
name: Faroese Test accuracy |
|
value: 30.3 |
|
- type: accuracy |
|
name: Sanskrit Test accuracy |
|
value: 20.6 |
|
- type: accuracy |
|
name: Livvi Test accuracy |
|
value: 29.1 |
|
- type: accuracy |
|
name: Arabic Test accuracy |
|
value: 34.9 |
|
- type: accuracy |
|
name: Wolof Test accuracy |
|
value: 17.0 |
|
- type: accuracy |
|
name: Bulgarian Test accuracy |
|
value: 34.3 |
|
- type: accuracy |
|
name: Akuntsu Test accuracy |
|
value: 19.3 |
|
- type: accuracy |
|
name: Makurap Test accuracy |
|
value: 21.2 |
|
- type: accuracy |
|
name: Kangri Test accuracy |
|
value: 19.8 |
|
- type: accuracy |
|
name: Breton Test accuracy |
|
value: 27.4 |
|
- type: accuracy |
|
name: Telugu Test accuracy |
|
value: 49.4 |
|
- type: accuracy |
|
name: Cantonese Test accuracy |
|
value: 53.7 |
|
- type: accuracy |
|
name: Old Church Slavonic Test accuracy |
|
value: 27.9 |
|
- type: accuracy |
|
name: Karelian Test accuracy |
|
value: 32.8 |
|
- type: accuracy |
|
name: Upper Sorbian Test accuracy |
|
value: 22.1 |
|
- type: accuracy |
|
name: South Levantine Arabic Test accuracy |
|
value: 29.8 |
|
- type: accuracy |
|
name: Komi Zyrian Test accuracy |
|
value: 9.7 |
|
- type: accuracy |
|
name: Irish Test accuracy |
|
value: 29.5 |
|
- type: accuracy |
|
name: Nayini Test accuracy |
|
value: 32.1 |
|
- type: accuracy |
|
name: Munduruku Test accuracy |
|
value: 14.4 |
|
- type: accuracy |
|
name: Manx Test accuracy |
|
value: 16.8 |
|
- type: accuracy |
|
name: Skolt Sami Test accuracy |
|
value: 5.3 |
|
- type: accuracy |
|
name: Afrikaans Test accuracy |
|
value: 31.8 |
|
- type: accuracy |
|
name: Old Turkish Test accuracy |
|
value: 13.6 |
|
- type: accuracy |
|
name: Tupinamba Test accuracy |
|
value: 9.4 |
|
- type: accuracy |
|
name: Belarusian Test accuracy |
|
value: 36.7 |
|
- type: accuracy |
|
name: Serbian Test accuracy |
|
value: 33.9 |
|
- type: accuracy |
|
name: Moksha Test accuracy |
|
value: 10.4 |
|
- type: accuracy |
|
name: Western Armenian Test accuracy |
|
value: 34.8 |
|
- type: accuracy |
|
name: Scottish Gaelic Test accuracy |
|
value: 29.2 |
|
- type: accuracy |
|
name: Khunsari Test accuracy |
|
value: 23.0 |
|
- type: accuracy |
|
name: Hebrew Test accuracy |
|
value: 44.8 |
|
- type: accuracy |
|
name: Uyghur Test accuracy |
|
value: 44.6 |
|
- type: accuracy |
|
name: Chukchi Test accuracy |
|
value: 7.0 |
|
--- |
|
|
|
# XLM-RoBERTa base Universal Dependencies v2.8 POS tagging: Classical Chinese |
|
|
|
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-lzh") |
|
model = AutoModelForTokenClassification.from_pretrained("wietsedv/xlm-roberta-base-ft-udpos28-lzh") |
|
``` |
|
|
