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Upload modelo treinado - 20251203_124859_hf (#16)

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- Upload modelo treinado - 20251203_124859_hf (24989f89c5122a294c2e8c8970aeb3f1ab129b80)

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  1. README.md +13 -13
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@@ -21,13 +21,13 @@ model-index:
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  - type: accuracy
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  value: 0.9352226720647774
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  - type: f1
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- value: 0.9301815453882951
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  - type: precision
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- value: 0.9296807015714141
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  - type: recall
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  value: 0.9352226720647774
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  - type: f1_macro
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- value: 0.7944170155534728
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  ---
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  # Model Card for Model ID
@@ -82,26 +82,26 @@ Este modelo foi treinado para classificar documentos jurídicos brasileiros usan
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  As métricas abaixo foram calculadas no conjunto de validação:
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  - **Accuracy:** 0.9352
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- - **F1-Score (Weighted):** 0.9302
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- - **Precision (Weighted):** 0.9297
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  - **Recall (Weighted):** 0.9352
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- - **F1-Score (Macro):** 0.7944
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  ## Classification Report Completo
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  ```
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  precision recall f1-score support
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- 0 0.00 0.00 0.00 6
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- 1 0.88 0.93 0.91 46
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- 2 0.93 0.73 0.82 55
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- 3 0.97 0.94 0.96 35
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- 4 0.99 0.88 0.93 132
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- 5 0.92 0.99 0.95 424
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  6 1.00 1.00 1.00 43
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  accuracy 0.94 741
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- macro avg 0.81 0.78 0.79 741
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  weighted avg 0.93 0.94 0.93 741
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  ```
 
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  - type: accuracy
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  value: 0.9352226720647774
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  - type: f1
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+ value: 0.9328717264101649
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  - type: precision
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+ value: 0.9342469820430453
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  - type: recall
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  value: 0.9352226720647774
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  - type: f1_macro
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+ value: 0.8259694427208276
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  ---
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  # Model Card for Model ID
 
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  As métricas abaixo foram calculadas no conjunto de validação:
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  - **Accuracy:** 0.9352
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+ - **F1-Score (Weighted):** 0.9329
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+ - **Precision (Weighted):** 0.9342
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  - **Recall (Weighted):** 0.9352
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+ - **F1-Score (Macro):** 0.8260
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  ## Classification Report Completo
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  ```
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  precision recall f1-score support
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+ 0 0.33 0.17 0.22 6
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+ 1 0.86 0.96 0.91 46
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+ 2 0.98 0.73 0.83 55
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+ 3 0.89 0.97 0.93 35
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+ 4 0.92 0.95 0.94 132
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+ 5 0.95 0.96 0.95 424
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  6 1.00 1.00 1.00 43
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  accuracy 0.94 741
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+ macro avg 0.85 0.82 0.83 741
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  weighted avg 0.93 0.94 0.93 741
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  ```