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model dump

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README.md ADDED
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+
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+ ---
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+ language:
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+ - hr
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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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+
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+ model-index:
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+ - name: xlm-roberta-base-ft-udpos28-hr
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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: 83.7
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+ - type: accuracy
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+ name: Dutch Test accuracy
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+ value: 83.7
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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: 83.2
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+ - type: accuracy
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+ name: French Test accuracy
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+ value: 84.2
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+ - type: accuracy
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+ name: Spanish Test accuracy
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+ value: 87.8
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+ - type: accuracy
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+ name: Russian Test accuracy
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+ value: 91.4
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+ - type: accuracy
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+ name: Swedish Test accuracy
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+ value: 85.4
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+ - type: accuracy
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+ name: Norwegian Test accuracy
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+ value: 79.0
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+ - type: accuracy
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+ name: Danish Test accuracy
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+ value: 83.8
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+ - type: accuracy
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+ name: Low Saxon Test accuracy
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+ value: 43.5
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+ - type: accuracy
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+ name: Akkadian Test accuracy
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+ value: 32.5
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+ - type: accuracy
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+ name: Armenian Test accuracy
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+ value: 84.7
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+ - type: accuracy
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+ name: Welsh Test accuracy
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+ value: 67.9
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+ - type: accuracy
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+ name: Old East Slavic Test accuracy
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+ value: 76.8
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+ - type: accuracy
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+ name: Albanian Test accuracy
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+ value: 75.2
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+ - type: accuracy
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+ name: Slovenian Test accuracy
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+ value: 87.0
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+ - type: accuracy
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+ name: Guajajara Test accuracy
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+ value: 28.3
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+ - type: accuracy
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+ name: Kurmanji Test accuracy
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+ value: 78.5
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+ - type: accuracy
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+ name: Turkish Test accuracy
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+ value: 75.9
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+ - type: accuracy
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+ name: Finnish Test accuracy
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+ value: 83.2
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+ - type: accuracy
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+ name: Indonesian Test accuracy
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+ value: 81.3
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+ - type: accuracy
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+ name: Ukrainian Test accuracy
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+ value: 93.2
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+ - type: accuracy
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+ name: Polish Test accuracy
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+ value: 92.3
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+ - type: accuracy
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+ name: Portuguese Test accuracy
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+ value: 84.6
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+ - type: accuracy
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+ name: Kazakh Test accuracy
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+ value: 79.4
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+ - type: accuracy
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+ name: Latin Test accuracy
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+ value: 77.4
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+ - type: accuracy
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+ name: Old French Test accuracy
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+ value: 54.3
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+ - type: accuracy
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+ name: Buryat Test accuracy
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+ value: 61.1
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+ - type: accuracy
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+ name: Kaapor Test accuracy
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+ value: 20.0
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+ - type: accuracy
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+ name: Korean Test accuracy
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+ value: 60.7
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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: 98.3
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+ - type: accuracy
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+ name: Gothic Test accuracy
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+ value: 16.5
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+ - type: accuracy
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+ name: Swiss German Test accuracy
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+ value: 44.8
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+ - type: accuracy
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+ name: Assyrian Test accuracy
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+ value: 15.9
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+ - type: accuracy
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+ name: North Sami Test accuracy
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+ value: 35.3
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+ - type: accuracy
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+ name: Naija Test accuracy
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+ value: 39.6
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+ - type: accuracy
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+ name: Latvian Test accuracy
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+ value: 86.5
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+ - type: accuracy
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+ name: Chinese Test accuracy
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+ value: 41.2
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+ - type: accuracy
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+ name: Tagalog Test accuracy
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+ value: 70.9
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+ - type: accuracy
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+ name: Bambara Test accuracy
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+ value: 28.2
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+ - type: accuracy
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+ name: Lithuanian Test accuracy
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+ value: 86.1
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+ - type: accuracy
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+ name: Galician Test accuracy
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+ value: 86.0
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+ - type: accuracy
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+ name: Vietnamese Test accuracy
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+ value: 66.5
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+ - type: accuracy
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+ name: Greek Test accuracy
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+ value: 85.8
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+ - type: accuracy
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+ name: Catalan Test accuracy
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+ value: 85.5
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+ - type: accuracy
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+ name: Czech Test accuracy
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+ value: 94.8
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+ - type: accuracy
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+ name: Erzya Test accuracy
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+ value: 47.2
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+ - type: accuracy
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+ name: Bhojpuri Test accuracy
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+ value: 49.2
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+ - type: accuracy
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+ name: Thai Test accuracy
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+ value: 63.4
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+ - type: accuracy
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+ name: Marathi Test accuracy
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+ value: 87.1
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+ - type: accuracy
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+ name: Basque Test accuracy
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+ value: 75.0
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+ - type: accuracy
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+ name: Slovak Test accuracy
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+ value: 95.0
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+ - type: accuracy
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+ name: Kiche Test accuracy
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+ value: 35.8
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+ - type: accuracy
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+ name: Yoruba Test accuracy
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+ value: 28.5
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+ - type: accuracy
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+ name: Warlpiri Test accuracy
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+ value: 41.3
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+ - type: accuracy
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+ name: Tamil Test accuracy
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+ value: 84.8
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+ - type: accuracy
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+ name: Maltese Test accuracy
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+ value: 23.7
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+ - type: accuracy
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+ name: Ancient Greek Test accuracy
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+ value: 62.1
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+ - type: accuracy
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+ name: Icelandic Test accuracy
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+ value: 79.9
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+ - type: accuracy
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+ name: Mbya Guarani Test accuracy
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+ value: 31.9
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+ - type: accuracy
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+ name: Urdu Test accuracy
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+ value: 65.0
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+ - type: accuracy
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+ name: Romanian Test accuracy
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+ value: 82.5
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+ - type: accuracy
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+ name: Persian Test accuracy
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+ value: 79.4
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+ - type: accuracy
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+ name: Apurina Test accuracy
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+ value: 38.4
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+ - type: accuracy
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+ name: Japanese Test accuracy
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+ value: 30.1
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+ - type: accuracy
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+ name: Hungarian Test accuracy
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+ value: 83.8
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+ - type: accuracy
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+ name: Hindi Test accuracy
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+ value: 67.8
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+ - type: accuracy
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+ name: Classical Chinese Test accuracy
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+ value: 27.0
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+ - type: accuracy
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+ name: Komi Permyak Test accuracy
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+ value: 44.9
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+ - type: accuracy
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+ name: Faroese Test accuracy
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+ value: 77.3
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+ - type: accuracy
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+ name: Sanskrit Test accuracy
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+ value: 35.6
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+ - type: accuracy
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+ name: Livvi Test accuracy
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+ value: 65.5
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+ - type: accuracy
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+ name: Arabic Test accuracy
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+ value: 82.3
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+ - type: accuracy
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+ name: Wolof Test accuracy
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+ value: 32.2
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+ - type: accuracy
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+ name: Bulgarian Test accuracy
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+ value: 92.6
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+ - type: accuracy
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+ name: Akuntsu Test accuracy
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+ value: 37.0
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+ - type: accuracy
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+ name: Makurap Test accuracy
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+ value: 17.8
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+ - type: accuracy
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+ name: Kangri Test accuracy
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+ value: 47.9
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+ - type: accuracy
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+ name: Breton Test accuracy
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+ value: 62.2
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+ - type: accuracy
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+ name: Telugu Test accuracy
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+ value: 82.4
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+ - type: accuracy
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+ name: Cantonese Test accuracy
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+ value: 45.6
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+ - type: accuracy
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+ name: Old Church Slavonic Test accuracy
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+ value: 48.9
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+ - type: accuracy
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+ name: Karelian Test accuracy
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+ value: 71.7
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+ - type: accuracy
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+ name: Upper Sorbian Test accuracy
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+ value: 79.4
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+ - type: accuracy
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+ name: South Levantine Arabic Test accuracy
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+ value: 68.9
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+ - type: accuracy
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+ name: Komi Zyrian Test accuracy
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+ value: 39.6
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+ - type: accuracy
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+ name: Irish Test accuracy
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+ value: 65.4
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+ - type: accuracy
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+ name: Nayini Test accuracy
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+ value: 42.3
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+ - type: accuracy
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+ name: Munduruku Test accuracy
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+ value: 28.8
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+ - type: accuracy
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+ name: Manx Test accuracy
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+ value: 35.7
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+ - type: accuracy
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+ name: Skolt Sami Test accuracy
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+ value: 33.7
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+ - type: accuracy
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+ name: Afrikaans Test accuracy
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+ value: 79.8
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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: 33.1
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+ - type: accuracy
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+ name: Belarusian Test accuracy
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+ value: 91.6
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+ - type: accuracy
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+ name: Serbian Test accuracy
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+ value: 97.5
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+ - type: accuracy
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+ name: Moksha Test accuracy
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+ value: 45.7
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+ - type: accuracy
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+ name: Western Armenian Test accuracy
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+ value: 77.7
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+ - type: accuracy
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+ name: Scottish Gaelic Test accuracy
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+ value: 57.7
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+ - type: accuracy
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+ name: Khunsari Test accuracy
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+ value: 36.5
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+ - type: accuracy
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+ name: Hebrew Test accuracy
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+ value: 85.4
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+ - type: accuracy
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+ name: Uyghur Test accuracy
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+ value: 72.2
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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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+
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+ # XLM-RoBERTa base Universal Dependencies v2.8 POS tagging: Croatian
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+
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+ This model is part of our paper called:
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+
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+ - Make the Best of Cross-lingual Transfer: Evidence from POS Tagging with over 100 Languages
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+
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+ Check the [Space]([Space](https://huggingface.co/spaces/wietsedv/xpos)) for more details.
config.json ADDED
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+ {
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+ "_name_or_path": "output/xlm-roberta-base_ft_udpos28-hr/1d6ca3e8",
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+ "architectures": [
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+ "XLMRobertaForTokenClassification"
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+ ],
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "ADJ",
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+ "1": "ADP",
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+ "2": "ADV",
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+ "3": "AUX",
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+ "4": "CCONJ",
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+ "5": "DET",
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+ "6": "INTJ",
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+ "7": "NOUN",
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+ "8": "NUM",
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+ "9": "PART",
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+ "10": "PRON",
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+ "11": "PROPN",
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+ "12": "PUNCT",
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+ "13": "SCONJ",
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+ "14": "SYM",
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+ "15": "VERB",
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+ "16": "X"
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+ },
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+ "intermediate_size": 3072,
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+ "X": 16
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+ },
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+ "layer_norm_eps": 1e-05,
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+ "max_position_embeddings": 514,
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+ "model_type": "xlm-roberta",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "output_past": true,
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+ "pad_token_id": 1,
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+ "position_embedding_type": "absolute",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.10.2",
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+ "type_vocab_size": 1,
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+ "use_cache": true,
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+ "vocab_size": 250002
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+ }
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special_tokens_map.json ADDED
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+ {"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false}}
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
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+ {"bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "add_prefix_space": true, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "output/xlm-roberta-base_ft_udpos28-hr/1d6ca3e8", "tokenizer_class": "XLMRobertaTokenizer"}
train.args ADDED
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+ udpos -tt=token-classification -tn=udpos28 -mi=xlm-roberta-base -mt=ft --learning_rate=5e-5 --eval_steps=1000 --eval_batch_size=10 --train_batch_size=10 --num_train_epochs=3 --multi