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metadata
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
          - type: accuracy
            name: Low Saxon Test accuracy
            value: 19
          - 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
          - type: accuracy
            name: Indonesian Test accuracy
            value: 40.6
          - type: accuracy
            name: Ukrainian Test accuracy
            value: 36
          - 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
          - type: accuracy
            name: Chinese Test accuracy
            value: 53.2
          - type: accuracy
            name: Tagalog Test accuracy
            value: 34
          - type: accuracy
            name: Bambara Test accuracy
            value: 13.9
          - type: accuracy
            name: Lithuanian Test accuracy
            value: 44
          - type: accuracy
            name: Galician Test accuracy
            value: 29
          - 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
          - 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
          - type: accuracy
            name: Classical Chinese Test accuracy
            value: 88
          - 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
          - 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
          - 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

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 for more details.

Usage

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")