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flaviaggp
/
pt_pipeline

Text Classification
spaCy
Portuguese
token-classification
Eval Results
Model card Files
xet
Community
flaviaggp commited on
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Update README.md

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  1. README.md +6 -6
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@@ -15,13 +15,13 @@ 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: 0.8273
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  - name: NER Recall
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  type: recall
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- value: 0.8014
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  - name: NER F Score
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  type: f_score
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- value: 0.8142
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  widget:
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  - text: >-
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  Que causaram evidente transtorno e evidencia a má prestação de serviço, com
@@ -92,8 +92,8 @@ Criei um Web App que proporciona a comparação dos modelos sm e lg: https://hug
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  | Type | Score |
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  | --- | --- |
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- | `ENTS_F` | 79.05 |
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- | `ENTS_P` | 79.23 |
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- | `ENTS_R` | 78.88 |
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  | `TOK2VEC_LOSS` | 66943.07 |
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  | `NER_LOSS` | 124326.31 |
 
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  metrics:
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  - name: NER Precision
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  type: precision
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+ value: 82.73
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  - name: NER Recall
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  type: recall
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+ value: 80.14
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  - name: NER F Score
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  type: f_score
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+ value: 81.42
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  widget:
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  - text: >-
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  Que causaram evidente transtorno e evidencia a má prestação de serviço, com
 
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  | Type | Score |
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  | --- | --- |
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+ | `ENTS_F` | 82.73 |
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+ | `ENTS_P` | 80.14 |
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+ | `ENTS_R` | 81.42 |
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  | `TOK2VEC_LOSS` | 66943.07 |
99
  | `NER_LOSS` | 124326.31 |