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--- |
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language: |
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- cs |
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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-cs |
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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: 83.4 |
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- type: accuracy |
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name: Dutch Test accuracy |
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value: 83.9 |
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- type: accuracy |
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name: German Test accuracy |
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value: 83.2 |
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- type: accuracy |
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name: Italian Test accuracy |
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value: 81.5 |
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- type: accuracy |
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name: French Test accuracy |
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value: 83.5 |
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- type: accuracy |
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name: Spanish Test accuracy |
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value: 85.9 |
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- type: accuracy |
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name: Russian Test accuracy |
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value: 91.2 |
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- type: accuracy |
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name: Swedish Test accuracy |
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value: 88.3 |
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- type: accuracy |
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name: Norwegian Test accuracy |
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value: 79.6 |
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- type: accuracy |
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name: Danish Test accuracy |
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value: 85.4 |
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- type: accuracy |
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name: Low Saxon Test accuracy |
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value: 55.4 |
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- type: accuracy |
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name: Akkadian Test accuracy |
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value: 40.3 |
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- type: accuracy |
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name: Armenian Test accuracy |
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value: 84.2 |
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- type: accuracy |
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name: Welsh Test accuracy |
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value: 66.4 |
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- type: accuracy |
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name: Old East Slavic Test accuracy |
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value: 76.6 |
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- type: accuracy |
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name: Albanian Test accuracy |
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value: 76.8 |
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- type: accuracy |
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name: Slovenian Test accuracy |
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value: 87.4 |
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- type: accuracy |
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name: Guajajara Test accuracy |
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value: 37.3 |
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- type: accuracy |
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name: Kurmanji Test accuracy |
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value: 79.3 |
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- type: accuracy |
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name: Turkish Test accuracy |
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value: 77.5 |
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- type: accuracy |
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name: Finnish Test accuracy |
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value: 83.3 |
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- type: accuracy |
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name: Indonesian Test accuracy |
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value: 83.0 |
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- type: accuracy |
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name: Ukrainian Test accuracy |
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value: 92.8 |
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- type: accuracy |
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name: Polish Test accuracy |
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value: 92.1 |
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- type: accuracy |
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name: Portuguese Test accuracy |
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value: 86.3 |
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- type: accuracy |
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name: Kazakh Test accuracy |
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value: 80.2 |
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- type: accuracy |
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name: Latin Test accuracy |
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value: 79.7 |
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- type: accuracy |
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name: Old French Test accuracy |
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value: 59.4 |
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- type: accuracy |
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name: Buryat Test accuracy |
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value: 60.3 |
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- type: accuracy |
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name: Kaapor Test accuracy |
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value: 22.5 |
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- type: accuracy |
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name: Korean Test accuracy |
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value: 58.9 |
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- type: accuracy |
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name: Estonian Test accuracy |
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value: 85.7 |
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- type: accuracy |
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name: Croatian Test accuracy |
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value: 94.9 |
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- type: accuracy |
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name: Gothic Test accuracy |
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value: 27.2 |
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- type: accuracy |
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name: Swiss German Test accuracy |
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value: 48.8 |
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- type: accuracy |
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name: Assyrian Test accuracy |
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value: 15.0 |
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- type: accuracy |
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name: North Sami Test accuracy |
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value: 43.4 |
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- type: accuracy |
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name: Naija Test accuracy |
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value: 41.6 |
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- type: accuracy |
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name: Latvian Test accuracy |
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value: 85.9 |
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- type: accuracy |
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name: Chinese Test accuracy |
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value: 31.9 |
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- type: accuracy |
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name: Tagalog Test accuracy |
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value: 72.0 |
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- type: accuracy |
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name: Bambara Test accuracy |
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value: 27.8 |
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- type: accuracy |
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name: Lithuanian Test accuracy |
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value: 86.5 |
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- type: accuracy |
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name: Galician Test accuracy |
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value: 85.1 |
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- type: accuracy |
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name: Vietnamese Test accuracy |
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value: 67.4 |
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- type: accuracy |
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name: Greek Test accuracy |
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value: 84.2 |
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- type: accuracy |
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name: Catalan Test accuracy |
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value: 84.6 |
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- type: accuracy |
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name: Czech Test accuracy |
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value: 98.4 |
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- type: accuracy |
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name: Erzya Test accuracy |
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value: 51.1 |
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- type: accuracy |
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name: Bhojpuri Test accuracy |
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value: 48.7 |
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- type: accuracy |
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name: Thai Test accuracy |
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value: 52.4 |
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- type: accuracy |
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name: Marathi Test accuracy |
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value: 87.7 |
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- type: accuracy |
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name: Basque Test accuracy |
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value: 74.0 |
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- type: accuracy |
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name: Slovak Test accuracy |
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value: 95.8 |
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- type: accuracy |
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name: Kiche Test accuracy |
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value: 36.8 |
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- type: accuracy |
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name: Yoruba Test accuracy |
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value: 28.3 |
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- type: accuracy |
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name: Warlpiri Test accuracy |
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value: 43.3 |
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- type: accuracy |
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name: Tamil Test accuracy |
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value: 84.3 |
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- type: accuracy |
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name: Maltese Test accuracy |
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value: 33.1 |
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- type: accuracy |
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name: Ancient Greek Test accuracy |
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value: 59.5 |
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- type: accuracy |
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name: Icelandic Test accuracy |
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value: 79.1 |
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- type: accuracy |
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name: Mbya Guarani Test accuracy |
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value: 34.1 |
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- type: accuracy |
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name: Urdu Test accuracy |
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value: 61.9 |
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- type: accuracy |
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name: Romanian Test accuracy |
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value: 83.8 |
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- type: accuracy |
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name: Persian Test accuracy |
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value: 80.1 |
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- type: accuracy |
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name: Apurina Test accuracy |
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value: 48.4 |
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- type: accuracy |
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name: Japanese Test accuracy |
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value: 19.4 |
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- type: accuracy |
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name: Hungarian Test accuracy |
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value: 79.1 |
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- type: accuracy |
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name: Hindi Test accuracy |
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value: 65.8 |
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- type: accuracy |
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name: Classical Chinese Test accuracy |
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value: 15.7 |
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- type: accuracy |
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name: Komi Permyak Test accuracy |
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value: 49.2 |
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- type: accuracy |
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name: Faroese Test accuracy |
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value: 76.1 |
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- type: accuracy |
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name: Sanskrit Test accuracy |
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value: 35.8 |
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- type: accuracy |
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name: Livvi Test accuracy |
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value: 65.9 |
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- type: accuracy |
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name: Arabic Test accuracy |
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value: 80.4 |
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- type: accuracy |
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name: Wolof Test accuracy |
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value: 38.2 |
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- type: accuracy |
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name: Bulgarian Test accuracy |
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value: 91.9 |
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- type: accuracy |
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name: Akuntsu Test accuracy |
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value: 38.0 |
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- type: accuracy |
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name: Makurap Test accuracy |
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value: 21.2 |
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- type: accuracy |
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name: Kangri Test accuracy |
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value: 48.4 |
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- type: accuracy |
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name: Breton Test accuracy |
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value: 58.2 |
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- type: accuracy |
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name: Telugu Test accuracy |
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value: 82.1 |
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- type: accuracy |
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name: Cantonese Test accuracy |
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value: 37.2 |
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- type: accuracy |
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name: Old Church Slavonic Test accuracy |
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value: 48.4 |
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- type: accuracy |
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name: Karelian Test accuracy |
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value: 69.5 |
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- type: accuracy |
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name: Upper Sorbian Test accuracy |
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value: 81.0 |
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- type: accuracy |
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name: South Levantine Arabic Test accuracy |
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value: 68.7 |
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- type: accuracy |
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name: Komi Zyrian Test accuracy |
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value: 44.4 |
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- type: accuracy |
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name: Irish Test accuracy |
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value: 67.8 |
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- type: accuracy |
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name: Nayini Test accuracy |
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value: 47.4 |
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- type: accuracy |
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name: Munduruku Test accuracy |
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value: 28.1 |
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- type: accuracy |
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name: Manx Test accuracy |
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value: 37.6 |
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- type: accuracy |
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name: Skolt Sami Test accuracy |
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value: 40.2 |
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- type: accuracy |
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name: Afrikaans Test accuracy |
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value: 78.2 |
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- type: accuracy |
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name: Old Turkish Test accuracy |
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value: 37.1 |
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- type: accuracy |
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name: Tupinamba Test accuracy |
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value: 43.5 |
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- type: accuracy |
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name: Belarusian Test accuracy |
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value: 90.1 |
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- type: accuracy |
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name: Serbian Test accuracy |
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value: 96.0 |
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- type: accuracy |
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name: Moksha Test accuracy |
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value: 48.5 |
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- type: accuracy |
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name: Western Armenian Test accuracy |
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value: 74.9 |
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- type: accuracy |
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name: Scottish Gaelic Test accuracy |
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value: 58.0 |
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- type: accuracy |
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name: Khunsari Test accuracy |
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value: 39.2 |
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- type: accuracy |
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name: Hebrew Test accuracy |
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value: 87.5 |
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- type: accuracy |
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name: Uyghur Test accuracy |
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value: 72.1 |
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- type: accuracy |
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name: Chukchi Test accuracy |
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value: 35.4 |
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--- |
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# XLM-RoBERTa base Universal Dependencies v2.8 POS tagging: Czech |
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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-cs") |
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model = AutoModelForTokenClassification.from_pretrained("wietsedv/xlm-roberta-base-ft-udpos28-cs") |
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``` |
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