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used add_readme_metadata.py

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  | Feature | Description |
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  | --- | --- |
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  | **Name** | `da_dacy_large_dacy_large` |
 
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+ ---
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+ tags:
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+ - spacy
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+ - dacy
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+ - danish
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+ - token-classification
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+ - pos tagging
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+ - morphological analysis
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+ - lemmatization
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+ - dependency parsing
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+ - named entity recognition
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+ language:
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+ - da
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+ license: apache-2.0
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+ model-index:
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+ - name: 'dacy_large'
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+ results:
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+ - task:
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+ name: NER
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+ type: token-classification
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+ metrics:
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+ - name: NER Precision
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+ type: precision
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+ value: 0.8540669856
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+ - name: NER Recall
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+ type: recall
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+ value: 0.9060913706
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+ - name: NER F Score
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+ type: f_score
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+ value: 0.8793103448
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+ dataset:
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+ name: DaNE
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+ split: test
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+ type: dane
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+ - task:
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+ name: TAG
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+ type: token-classification
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+ metrics:
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+ - name: TAG (XPOS) Accuracy
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+ type: accuracy
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+ value: 0.9859187847
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+ dataset:
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+ name: UD Danish DDT
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+ split: test
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+ type: universal_dependencies
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+ config: da_ddt
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+ - task:
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+ name: POS
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+ type: token-classification
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+ metrics:
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+ - name: POS (UPOS) Accuracy
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+ type: accuracy
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+ value: 0.9859780323
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+ dataset:
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+ name: UD Danish DDT
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+ split: test
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+ type: universal_dependencies
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+ config: da_ddt
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+ - task:
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+ name: MORPH
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+ type: token-classification
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+ metrics:
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+ - name: Morph (UFeats) Accuracy
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+ type: accuracy
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+ value: 0.986094882
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+ dataset:
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+ name: UD Danish DDT
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+ split: test
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+ type: universal_dependencies
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+ config: da_ddt
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+ - task:
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+ name: LEMMA
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+ type: token-classification
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+ metrics:
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+ - name: Lemma Accuracy
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+ type: accuracy
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+ value: 0.9610374438
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+ dataset:
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+ name: UD Danish DDT
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+ split: test
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+ type: universal_dependencies
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+ config: da_ddt
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+ - task:
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+ name: UNLABELED_DEPENDENCIES
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+ type: token-classification
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+ metrics:
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+ - name: Unlabeled Attachment Score (UAS)
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+ type: f_score
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+ value: 0.9155339149
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+ dataset:
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+ name: UD Danish DDT
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+ split: test
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+ type: universal_dependencies
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+ config: da_ddt
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+ - task:
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+ name: LABELED_DEPENDENCIES
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+ type: token-classification
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+ metrics:
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+ - name: Labeled Attachment Score (LAS)
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+ type: f_score
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+ value: 0.8897903989
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+ dataset:
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+ name: UD Danish DDT
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+ split: test
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+ type: universal_dependencies
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+ config: da_ddt
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+ - task:
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+ name: SENTS
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+ type: token-classification
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+ metrics:
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+ - name: Sentences F-Score
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+ type: f_score
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+ value: 0.9844097996
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+ dataset:
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+ name: UD Danish DDT
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+ split: test
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+ type: universal_dependencies
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+ config: da_ddt
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+ library_name: spacy
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+ datasets:
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+ - universal_dependencies
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+ - dane
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+ metrics:
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+ - accuracy
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+ ---
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  | Feature | Description |
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  | --- | --- |
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  | **Name** | `da_dacy_large_dacy_large` |