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Update README.md

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@@ -8,16 +8,16 @@ model-index:
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  - name: en_abbreviation_detection_roberta_lar
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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: 0.9611772641
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- - name: NER Recall
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  type: recall
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  value: 0.9446958783
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- - name: NER F Score
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  type: f_score
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  value: 0.9528653083
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  ---
@@ -41,7 +41,7 @@ model-index:
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  | Component | Labels |
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  | --- | --- |
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- | **`ner`** | `AC`, `LF`, `O` |
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  </details>
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  - name: en_abbreviation_detection_roberta_lar
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  results:
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  - task:
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+ name: AbbreviationDetection
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  type: token-classification
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  metrics:
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+ - name: Precision
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  type: precision
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  value: 0.9611772641
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+ - name: Recall
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  type: recall
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  value: 0.9446958783
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+ - name: F Score
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  type: f_score
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  value: 0.9528653083
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  ---
 
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  | Component | Labels |
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  | --- | --- |
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+ | **`abbreviationDetection`** | `AC`, `LF`, `O` |
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  </details>
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