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@@ -56,64 +56,6 @@ model-index:
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  type: accuracy
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  value: 0.9154911554
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  ---
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- ---
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- tags:
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- - spacy
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- - token-classification
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- language:
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- - ca
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- license: GNU-GPL-3.0
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- model-index:
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- - name: ca_core_news_lg
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- results:
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- - tasks:
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- name: NER
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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: 0.8417475728
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- - name: Recall
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- type: recall
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- value: 0.8414752507
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- - name: F Score
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- type: f_score
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- value: 0.8416113897
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- - tasks:
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- name: POS
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- type: token-classification
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- metrics:
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- - name: Accuracy
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- type: accuracy
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- value: 0.978748346
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- - tasks:
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- name: SENTER
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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: 0.9842473746
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- - name: Recall
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- type: recall
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- value: 0.9871269748
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- - name: F Score
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- type: f_score
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- value: 0.9856850716
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- - tasks:
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- name: UNLABELED_DEPENDENCIES
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- type: token-classification
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- metrics:
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- - name: Accuracy
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- type: accuracy
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- value: 0.9154911554
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- - tasks:
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- name: LABELED_DEPENDENCIES
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- type: token-classification
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- metrics:
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- - name: Accuracy
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- type: accuracy
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- value: 0.9154911554
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- ---
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  ### Details: https://spacy.io/models/ca#ca_core_news_lg
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  Catalan pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer.
 
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  type: accuracy
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  value: 0.9154911554
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Details: https://spacy.io/models/ca#ca_core_news_lg
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  Catalan pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer.