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metadata
language:
  - mt
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-mt
    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: 37.5
          - type: accuracy
            name: Dutch Test accuracy
            value: 52.3
          - type: accuracy
            name: German Test accuracy
            value: 51.7
          - type: accuracy
            name: Italian Test accuracy
            value: 54.7
          - type: accuracy
            name: French Test accuracy
            value: 49.1
          - type: accuracy
            name: Spanish Test accuracy
            value: 49.5
          - type: accuracy
            name: Russian Test accuracy
            value: 64.7
          - type: accuracy
            name: Swedish Test accuracy
            value: 52
          - type: accuracy
            name: Norwegian Test accuracy
            value: 48.7
          - type: accuracy
            name: Danish Test accuracy
            value: 52.3
          - type: accuracy
            name: Low Saxon Test accuracy
            value: 41.7
          - type: accuracy
            name: Akkadian Test accuracy
            value: 27.7
          - type: accuracy
            name: Armenian Test accuracy
            value: 65.4
          - type: accuracy
            name: Welsh Test accuracy
            value: 50.5
          - type: accuracy
            name: Old East Slavic Test accuracy
            value: 58.1
          - type: accuracy
            name: Albanian Test accuracy
            value: 55.2
          - type: accuracy
            name: Slovenian Test accuracy
            value: 52.3
          - type: accuracy
            name: Guajajara Test accuracy
            value: 30.7
          - type: accuracy
            name: Kurmanji Test accuracy
            value: 53.3
          - type: accuracy
            name: Turkish Test accuracy
            value: 61
          - type: accuracy
            name: Finnish Test accuracy
            value: 62.4
          - type: accuracy
            name: Indonesian Test accuracy
            value: 59.4
          - type: accuracy
            name: Ukrainian Test accuracy
            value: 66.6
          - type: accuracy
            name: Polish Test accuracy
            value: 62.6
          - type: accuracy
            name: Portuguese Test accuracy
            value: 54.2
          - type: accuracy
            name: Kazakh Test accuracy
            value: 68.7
          - type: accuracy
            name: Latin Test accuracy
            value: 54.5
          - type: accuracy
            name: Old French Test accuracy
            value: 33.8
          - type: accuracy
            name: Buryat Test accuracy
            value: 51.2
          - type: accuracy
            name: Kaapor Test accuracy
            value: 22.9
          - type: accuracy
            name: Korean Test accuracy
            value: 51.7
          - type: accuracy
            name: Estonian Test accuracy
            value: 62.3
          - type: accuracy
            name: Croatian Test accuracy
            value: 61.4
          - type: accuracy
            name: Gothic Test accuracy
            value: 26.8
          - type: accuracy
            name: Swiss German Test accuracy
            value: 43.6
          - type: accuracy
            name: Assyrian Test accuracy
            value: 26
          - type: accuracy
            name: North Sami Test accuracy
            value: 40.4
          - type: accuracy
            name: Naija Test accuracy
            value: 10.9
          - type: accuracy
            name: Latvian Test accuracy
            value: 65.5
          - type: accuracy
            name: Chinese Test accuracy
            value: 47.3
          - type: accuracy
            name: Tagalog Test accuracy
            value: 56.3
          - type: accuracy
            name: Bambara Test accuracy
            value: 28.1
          - type: accuracy
            name: Lithuanian Test accuracy
            value: 67.2
          - type: accuracy
            name: Galician Test accuracy
            value: 54.3
          - type: accuracy
            name: Vietnamese Test accuracy
            value: 55
          - type: accuracy
            name: Greek Test accuracy
            value: 52.4
          - type: accuracy
            name: Catalan Test accuracy
            value: 51.2
          - type: accuracy
            name: Czech Test accuracy
            value: 64.6
          - type: accuracy
            name: Erzya Test accuracy
            value: 46.6
          - type: accuracy
            name: Bhojpuri Test accuracy
            value: 39.6
          - type: accuracy
            name: Thai Test accuracy
            value: 44.9
          - type: accuracy
            name: Marathi Test accuracy
            value: 70.6
          - type: accuracy
            name: Basque Test accuracy
            value: 63.4
          - type: accuracy
            name: Slovak Test accuracy
            value: 68.4
          - type: accuracy
            name: Kiche Test accuracy
            value: 33
          - type: accuracy
            name: Yoruba Test accuracy
            value: 31.1
          - type: accuracy
            name: Warlpiri Test accuracy
            value: 32
          - type: accuracy
            name: Tamil Test accuracy
            value: 73.8
          - type: accuracy
            name: Maltese Test accuracy
            value: 94.4
          - type: accuracy
            name: Ancient Greek Test accuracy
            value: 47.8
          - type: accuracy
            name: Icelandic Test accuracy
            value: 51.3
          - type: accuracy
            name: Mbya Guarani Test accuracy
            value: 34.7
          - type: accuracy
            name: Urdu Test accuracy
            value: 45.9
          - type: accuracy
            name: Romanian Test accuracy
            value: 57.9
          - type: accuracy
            name: Persian Test accuracy
            value: 52.9
          - type: accuracy
            name: Apurina Test accuracy
            value: 38.2
          - type: accuracy
            name: Japanese Test accuracy
            value: 37.8
          - type: accuracy
            name: Hungarian Test accuracy
            value: 61.1
          - type: accuracy
            name: Hindi Test accuracy
            value: 45
          - type: accuracy
            name: Classical Chinese Test accuracy
            value: 34.5
          - type: accuracy
            name: Komi Permyak Test accuracy
            value: 48.7
          - type: accuracy
            name: Faroese Test accuracy
            value: 55.1
          - type: accuracy
            name: Sanskrit Test accuracy
            value: 28.3
          - type: accuracy
            name: Livvi Test accuracy
            value: 52.1
          - type: accuracy
            name: Arabic Test accuracy
            value: 63.9
          - type: accuracy
            name: Wolof Test accuracy
            value: 36.6
          - type: accuracy
            name: Bulgarian Test accuracy
            value: 59
          - type: accuracy
            name: Akuntsu Test accuracy
            value: 29.6
          - type: accuracy
            name: Makurap Test accuracy
            value: 29.5
          - type: accuracy
            name: Kangri Test accuracy
            value: 39.2
          - type: accuracy
            name: Breton Test accuracy
            value: 49.8
          - type: accuracy
            name: Telugu Test accuracy
            value: 64.6
          - type: accuracy
            name: Cantonese Test accuracy
            value: 46
          - type: accuracy
            name: Old Church Slavonic Test accuracy
            value: 38.1
          - type: accuracy
            name: Karelian Test accuracy
            value: 57.4
          - type: accuracy
            name: Upper Sorbian Test accuracy
            value: 62.4
          - type: accuracy
            name: South Levantine Arabic Test accuracy
            value: 61.1
          - type: accuracy
            name: Komi Zyrian Test accuracy
            value: 43
          - type: accuracy
            name: Irish Test accuracy
            value: 46.8
          - type: accuracy
            name: Nayini Test accuracy
            value: 48.7
          - type: accuracy
            name: Munduruku Test accuracy
            value: 21.6
          - type: accuracy
            name: Manx Test accuracy
            value: 42
          - type: accuracy
            name: Skolt Sami Test accuracy
            value: 41.4
          - type: accuracy
            name: Afrikaans Test accuracy
            value: 49.8
          - type: accuracy
            name: Old Turkish Test accuracy
            value: 37.1
          - type: accuracy
            name: Tupinamba Test accuracy
            value: 32.9
          - type: accuracy
            name: Belarusian Test accuracy
            value: 68.2
          - type: accuracy
            name: Serbian Test accuracy
            value: 60.7
          - type: accuracy
            name: Moksha Test accuracy
            value: 43.5
          - type: accuracy
            name: Western Armenian Test accuracy
            value: 60.2
          - type: accuracy
            name: Scottish Gaelic Test accuracy
            value: 41.5
          - type: accuracy
            name: Khunsari Test accuracy
            value: 43.2
          - type: accuracy
            name: Hebrew Test accuracy
            value: 74
          - type: accuracy
            name: Uyghur Test accuracy
            value: 61.9
          - type: accuracy
            name: Chukchi Test accuracy
            value: 48.1

XLM-RoBERTa base Universal Dependencies v2.8 POS tagging: Maltese

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-mt")
model = AutoModelForTokenClassification.from_pretrained("wietsedv/xlm-roberta-base-ft-udpos28-mt")