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  1. README.md +1 -59
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@@ -1,61 +1,3 @@
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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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- - pt
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- license: CC-BY-SA-4.0
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- model-index:
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- - name: pt_core_news_sm
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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: 0.8790470012
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- - name: Recall
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- type: recall
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- value: 0.8800503808
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- - name: F Score
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- type: f_score
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- value: 0.8795484049
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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: 0.8902867898
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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: 0.9238474107
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- - name: Recall
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- type: recall
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- value: 0.9556527171
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- - name: F Score
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- type: f_score
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- value: 0.9394809557
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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: 0.8884152313
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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: 0.8884152313
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- ---
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  ### Details: https://spacy.io/models/pt#pt_core_news_sm
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  Portuguese pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer.
@@ -103,4 +45,4 @@ Portuguese pipeline optimized for CPU. Components: tok2vec, morphologizer, parse
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  | `SENTS_F` | 93.95 |
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  | `ENTS_P` | 87.90 |
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  | `ENTS_R` | 88.01 |
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- | `ENTS_F` | 87.95 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Details: https://spacy.io/models/pt#pt_core_news_sm
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  Portuguese pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer.
 
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  | `SENTS_F` | 93.95 |
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  | `ENTS_P` | 87.90 |
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  | `ENTS_R` | 88.01 |
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+ | `ENTS_F` | 87.95 |