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rkenji
/
testmodel

Text Classification
Safetensors
Portuguese
bert
legal
portuguese
brazilian-legal-documents
Eval Results (legacy)
Model card Files
xet
 Community
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rkenji commited on
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Upload modelo treinado - 20251204_125734_hf (#19)

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- Upload modelo treinado - 20251204_125734_hf (f41a7dbeba3316920f5610eaa3a23bec63882fb8)

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  1. README.md +23 -23
README.md CHANGED
@@ -19,15 +19,15 @@ model-index:
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  type: legal_documents
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  metrics:
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  - type: accuracy
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- value: 0.8881829733163914
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  - type: f1
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- value: 0.8777856821629471
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  - type: precision
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- value: 0.8772538874253621
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  - type: recall
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- value: 0.8881829733163914
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  - type: f1_macro
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- value: 0.3692552572091707
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  ---
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  # Model Card for Model ID
@@ -85,42 +85,42 @@ 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:** 0.8882
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- - **F1-Score (Weighted):** 0.8778
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- - **Precision (Weighted):** 0.8773
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- - **Recall (Weighted):** 0.8882
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- - **F1-Score (Macro):** 0.3693
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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 7
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- 1 0.96 0.94 0.95 51
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- 2 0.93 0.88 0.91 49
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- 3 0.82 0.88 0.85 42
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- 4 0.94 0.95 0.94 138
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- 5 0.96 0.95 0.96 414
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  6 0.00 0.00 0.00 7
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  7 1.00 1.00 1.00 16
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  8 0.00 0.00 0.00 4
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- 9 0.40 1.00 0.57 6
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- 10 0.08 1.00 0.15 2
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- 11 0.67 1.00 0.80 10
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- 12 0.00 0.00 0.00 8
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- 13 0.53 0.91 0.67 11
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  14 0.00 0.00 0.00 3
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  15 0.00 0.00 0.00 2
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  16 0.00 0.00 0.00 1
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  17 0.00 0.00 0.00 6
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  19 0.00 0.00 0.00 3
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- 20 1.00 0.20 0.33 5
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  21 0.00 0.00 0.00 1
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  22 0.00 0.00 0.00 1
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  accuracy 0.89 787
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- macro avg 0.38 0.44 0.37 787
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  weighted avg 0.88 0.89 0.88 787
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  ```
 
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  type: legal_documents
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  metrics:
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  - type: accuracy
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+ value: 0.8856416772554002
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  - type: f1
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+ value: 0.8776953377966165
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  - type: precision
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+ value: 0.8777274574075797
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  - type: recall
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+ value: 0.8856416772554002
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  - type: f1_macro
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+ value: 0.3537898127235856
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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:** 0.8856
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+ - **F1-Score (Weighted):** 0.8777
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+ - **Precision (Weighted):** 0.8777
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+ - **Recall (Weighted):** 0.8856
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+ - **F1-Score (Macro):** 0.3538
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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 0.50 0.14 0.22 7
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+ 1 0.94 0.96 0.95 51
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+ 2 1.00 0.86 0.92 49
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+ 3 0.80 0.88 0.84 42
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+ 4 0.94 0.96 0.95 138
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+ 5 0.96 0.96 0.96 414
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  6 0.00 0.00 0.00 7
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  7 1.00 1.00 1.00 16
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  8 0.00 0.00 0.00 4
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+ 9 0.19 1.00 0.32 6
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+ 10 0.00 0.00 0.00 2
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+ 11 0.91 1.00 0.95 10
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+ 12 0.33 0.62 0.43 8
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+ 13 0.21 0.27 0.24 11
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  14 0.00 0.00 0.00 3
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  15 0.00 0.00 0.00 2
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  16 0.00 0.00 0.00 1
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  17 0.00 0.00 0.00 6
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  19 0.00 0.00 0.00 3
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+ 20 0.00 0.00 0.00 5
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  21 0.00 0.00 0.00 1
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  22 0.00 0.00 0.00 1
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  accuracy 0.89 787
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+ macro avg 0.35 0.39 0.35 787
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  weighted avg 0.88 0.89 0.88 787
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  ```