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docs: Updated readme

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  1. README.md +35 -20
README.md CHANGED
@@ -4,7 +4,7 @@ tags:
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  - token-classification
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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: da_dacy_medium_trf
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  results:
@@ -14,40 +14,55 @@ model-index:
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  metrics:
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  - name: NER Precision
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  type: precision
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- value: 0.817047817
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  - name: NER Recall
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  type: recall
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- value: 0.81875
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  - name: NER F Score
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  type: f_score
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- value: 0.8178980229
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  - task:
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- name: SENTER
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  type: token-classification
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  metrics:
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- - name: SENTER Precision
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- type: precision
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- value: 0.873015873
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- - name: SENTER Recall
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- type: recall
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- value: 0.8776595745
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- - name: SENTER F Score
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- type: f_score
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- value: 0.875331565
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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 Dependencies Accuracy
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  type: accuracy
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- value: 0.8714971531
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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 Dependencies Accuracy
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  type: accuracy
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- value: 0.8714971531
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  <a href="https://github.com/centre-for-humanities-computing/Dacy"><img src="https://centre-for-humanities-computing.github.io/DaCy/_static/icon.png" width="175" height="175" align="right" /></a>
 
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  - token-classification
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  language:
6
  - da
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+ license: apache-2.0-license
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  model-index:
9
  - name: da_dacy_medium_trf
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  results:
 
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  metrics:
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  - name: NER Precision
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  type: precision
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+ value: 0.8708487085
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  - name: NER Recall
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  type: recall
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+ value: 0.8458781362
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  - name: NER F Score
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  type: f_score
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+ value: 0.8581818182
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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: 0.9847290149
 
 
 
 
 
 
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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: 0.985677928
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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: 0.9814371257
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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: 0.9083920564
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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: 0.883349834
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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: 0.9885462555
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  ---
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  <a href="https://github.com/centre-for-humanities-computing/Dacy"><img src="https://centre-for-humanities-computing.github.io/DaCy/_static/icon.png" width="175" height="175" align="right" /></a>