flaviaggp
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pt_pipeline

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token-classification

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flaviaggp commited on May 31, 2023

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@@ -15,13 +15,13 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.8273
     - name: NER Recall
       type: recall
-      value: 0.8014
     - name: NER F Score
       type: f_score
-      value: 0.8142
 widget:
 - text: >-
     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
 | Type | Score |
 | --- | --- |
-| `ENTS_F` | 79.05 |
-| `ENTS_P` | 79.23 |
-| `ENTS_R` | 78.88 |
 | `TOK2VEC_LOSS` | 66943.07 |
 | `NER_LOSS` | 124326.31 |

     metrics:
     - name: NER Precision
       type: precision
+      value: 82.73
     - name: NER Recall
       type: recall
+      value: 80.14
     - name: NER F Score
       type: f_score
+      value: 81.42
 widget:
 - text: >-
     Que causaram evidente transtorno e evidencia a má prestação de serviço, com
 | Type | Score |
 | --- | --- |
+| `ENTS_F` | 82.73 |
+| `ENTS_P` | 80.14 |
+| `ENTS_R` | 81.42 |
 | `TOK2VEC_LOSS` | 66943.07 |
 | `NER_LOSS` | 124326.31 |