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--- |
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language: |
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- zh |
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license: apache-2.0 |
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library_name: transformers |
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tags: |
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- part-of-speech |
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- token-classification |
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datasets: |
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- universal_dependencies |
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metrics: |
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- accuracy |
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model-index: |
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- name: xlm-roberta-base-ft-udpos28-zh |
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results: |
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- task: |
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type: token-classification |
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name: Part-of-Speech Tagging |
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dataset: |
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type: universal_dependencies |
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name: Universal Dependencies v2.8 |
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metrics: |
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- type: accuracy |
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name: English Test accuracy |
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value: 60.2 |
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- type: accuracy |
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name: Dutch Test accuracy |
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value: 56.9 |
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- type: accuracy |
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name: German Test accuracy |
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value: 57.5 |
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- type: accuracy |
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name: Italian Test accuracy |
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value: 57.3 |
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- type: accuracy |
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name: French Test accuracy |
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value: 54.1 |
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- type: accuracy |
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name: Spanish Test accuracy |
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value: 54.4 |
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- type: accuracy |
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name: Russian Test accuracy |
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value: 69.6 |
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- type: accuracy |
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name: Swedish Test accuracy |
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value: 61.8 |
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- type: accuracy |
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name: Norwegian Test accuracy |
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value: 60.3 |
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- type: accuracy |
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name: Danish Test accuracy |
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value: 62.6 |
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- type: accuracy |
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name: Low Saxon Test accuracy |
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value: 29.6 |
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- type: accuracy |
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name: Akkadian Test accuracy |
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value: 16.3 |
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- type: accuracy |
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name: Armenian Test accuracy |
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value: 70.7 |
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- type: accuracy |
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name: Welsh Test accuracy |
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value: 52.3 |
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- type: accuracy |
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name: Old East Slavic Test accuracy |
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value: 50.1 |
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- type: accuracy |
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name: Albanian Test accuracy |
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value: 59.0 |
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- type: accuracy |
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name: Slovenian Test accuracy |
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value: 52.9 |
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- type: accuracy |
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name: Guajajara Test accuracy |
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value: 20.3 |
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- type: accuracy |
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name: Kurmanji Test accuracy |
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value: 66.5 |
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- type: accuracy |
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name: Turkish Test accuracy |
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value: 69.6 |
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- type: accuracy |
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name: Finnish Test accuracy |
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value: 70.3 |
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- type: accuracy |
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name: Indonesian Test accuracy |
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value: 65.8 |
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- type: accuracy |
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name: Ukrainian Test accuracy |
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value: 69.4 |
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- type: accuracy |
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name: Polish Test accuracy |
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value: 65.3 |
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- type: accuracy |
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name: Portuguese Test accuracy |
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value: 60.6 |
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- type: accuracy |
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name: Kazakh Test accuracy |
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value: 76.2 |
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- type: accuracy |
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name: Latin Test accuracy |
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value: 60.5 |
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- type: accuracy |
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name: Old French Test accuracy |
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value: 19.5 |
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- type: accuracy |
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name: Buryat Test accuracy |
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value: 56.2 |
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- type: accuracy |
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name: Kaapor Test accuracy |
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value: 10.4 |
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- type: accuracy |
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name: Korean Test accuracy |
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value: 63.2 |
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- type: accuracy |
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name: Estonian Test accuracy |
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value: 70.4 |
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- type: accuracy |
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name: Croatian Test accuracy |
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value: 61.2 |
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- type: accuracy |
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name: Gothic Test accuracy |
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value: 5.4 |
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- type: accuracy |
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name: Swiss German Test accuracy |
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value: 36.2 |
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- type: accuracy |
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name: Assyrian Test accuracy |
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value: 17.0 |
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- type: accuracy |
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name: North Sami Test accuracy |
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value: 22.9 |
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- type: accuracy |
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name: Naija Test accuracy |
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value: 21.5 |
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- type: accuracy |
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name: Latvian Test accuracy |
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value: 74.1 |
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- type: accuracy |
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name: Chinese Test accuracy |
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value: 93.4 |
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- type: accuracy |
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name: Tagalog Test accuracy |
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value: 59.1 |
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- type: accuracy |
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name: Bambara Test accuracy |
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value: 21.0 |
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- type: accuracy |
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name: Lithuanian Test accuracy |
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value: 73.8 |
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- type: accuracy |
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name: Galician Test accuracy |
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value: 56.7 |
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- type: accuracy |
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name: Vietnamese Test accuracy |
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value: 59.6 |
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- type: accuracy |
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name: Greek Test accuracy |
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value: 58.4 |
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- type: accuracy |
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name: Catalan Test accuracy |
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value: 52.2 |
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- type: accuracy |
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name: Czech Test accuracy |
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value: 64.6 |
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- type: accuracy |
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name: Erzya Test accuracy |
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value: 39.4 |
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- type: accuracy |
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name: Bhojpuri Test accuracy |
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value: 42.7 |
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- type: accuracy |
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name: Thai Test accuracy |
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value: 65.6 |
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- type: accuracy |
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name: Marathi Test accuracy |
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value: 74.2 |
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- type: accuracy |
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name: Basque Test accuracy |
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value: 66.0 |
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- type: accuracy |
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name: Slovak Test accuracy |
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value: 66.0 |
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- type: accuracy |
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name: Kiche Test accuracy |
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value: 23.1 |
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- type: accuracy |
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name: Yoruba Test accuracy |
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value: 16.4 |
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- type: accuracy |
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name: Warlpiri Test accuracy |
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value: 29.6 |
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- type: accuracy |
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name: Tamil Test accuracy |
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value: 82.6 |
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- type: accuracy |
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name: Maltese Test accuracy |
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value: 13.7 |
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- type: accuracy |
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name: Ancient Greek Test accuracy |
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value: 65.2 |
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- type: accuracy |
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name: Icelandic Test accuracy |
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value: 63.4 |
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- type: accuracy |
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name: Mbya Guarani Test accuracy |
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value: 23.2 |
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- type: accuracy |
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name: Urdu Test accuracy |
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value: 53.8 |
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- type: accuracy |
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name: Romanian Test accuracy |
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value: 61.2 |
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- type: accuracy |
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name: Persian Test accuracy |
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value: 59.6 |
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- type: accuracy |
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name: Apurina Test accuracy |
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value: 24.7 |
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- type: accuracy |
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name: Japanese Test accuracy |
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value: 56.4 |
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- type: accuracy |
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name: Hungarian Test accuracy |
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value: 59.9 |
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- type: accuracy |
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name: Hindi Test accuracy |
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value: 59.4 |
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- type: accuracy |
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name: Classical Chinese Test accuracy |
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value: 58.2 |
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- type: accuracy |
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name: Komi Permyak Test accuracy |
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value: 34.7 |
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- type: accuracy |
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name: Faroese Test accuracy |
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value: 55.9 |
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- type: accuracy |
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name: Sanskrit Test accuracy |
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value: 19.0 |
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- type: accuracy |
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name: Livvi Test accuracy |
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value: 52.8 |
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- type: accuracy |
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name: Arabic Test accuracy |
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value: 64.2 |
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- type: accuracy |
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name: Wolof Test accuracy |
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value: 17.6 |
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- type: accuracy |
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name: Bulgarian Test accuracy |
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value: 64.2 |
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- type: accuracy |
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name: Akuntsu Test accuracy |
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value: 16.5 |
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- type: accuracy |
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name: Makurap Test accuracy |
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value: 6.8 |
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- type: accuracy |
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name: Kangri Test accuracy |
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value: 38.9 |
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- type: accuracy |
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name: Breton Test accuracy |
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value: 49.9 |
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- type: accuracy |
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name: Telugu Test accuracy |
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value: 82.8 |
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- type: accuracy |
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name: Cantonese Test accuracy |
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value: 80.6 |
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- type: accuracy |
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name: Old Church Slavonic Test accuracy |
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value: 41.0 |
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- type: accuracy |
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name: Karelian Test accuracy |
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value: 60.5 |
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- type: accuracy |
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name: Upper Sorbian Test accuracy |
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value: 47.0 |
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- type: accuracy |
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name: South Levantine Arabic Test accuracy |
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value: 59.7 |
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- type: accuracy |
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name: Komi Zyrian Test accuracy |
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value: 29.4 |
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- type: accuracy |
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name: Irish Test accuracy |
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value: 49.7 |
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- type: accuracy |
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name: Nayini Test accuracy |
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value: 50.0 |
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- type: accuracy |
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name: Munduruku Test accuracy |
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value: 10.6 |
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- type: accuracy |
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name: Manx Test accuracy |
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value: 22.3 |
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- type: accuracy |
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name: Skolt Sami Test accuracy |
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value: 24.9 |
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- type: accuracy |
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name: Afrikaans Test accuracy |
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value: 58.6 |
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- type: accuracy |
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name: Old Turkish Test accuracy |
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value: 45.7 |
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- type: accuracy |
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name: Tupinamba Test accuracy |
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value: 20.7 |
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- type: accuracy |
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name: Belarusian Test accuracy |
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value: 69.7 |
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- type: accuracy |
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name: Serbian Test accuracy |
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value: 61.9 |
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- type: accuracy |
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name: Moksha Test accuracy |
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value: 35.1 |
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- type: accuracy |
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name: Western Armenian Test accuracy |
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value: 67.2 |
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- type: accuracy |
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name: Scottish Gaelic Test accuracy |
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value: 44.6 |
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- type: accuracy |
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name: Khunsari Test accuracy |
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value: 44.6 |
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- type: accuracy |
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name: Hebrew Test accuracy |
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value: 82.3 |
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- type: accuracy |
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name: Uyghur Test accuracy |
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value: 71.6 |
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- type: accuracy |
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name: Chukchi Test accuracy |
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value: 32.1 |
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--- |
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# XLM-RoBERTa base Universal Dependencies v2.8 POS tagging: Chinese |
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This model is part of our paper called: |
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- Make the Best of Cross-lingual Transfer: Evidence from POS Tagging with over 100 Languages |
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Check the [Space](https://huggingface.co/spaces/wietsedv/xpos) for more details. |
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## Usage |
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```python |
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from transformers import AutoTokenizer, AutoModelForTokenClassification |
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tokenizer = AutoTokenizer.from_pretrained("wietsedv/xlm-roberta-base-ft-udpos28-zh") |
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model = AutoModelForTokenClassification.from_pretrained("wietsedv/xlm-roberta-base-ft-udpos28-zh") |
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``` |
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