Training 20251210_140203 - 6 classes with metrics

README.md

@@ -19,15 +19,15 @@ model-index:
       type: legal_documents
     metrics:
     - type: accuracy
-      value: 0.936231884057971
+      value: 0.9391304347826087
     - type: f1
-      value: 0.9353615414017292
+      value: 0.937010566640585
     - type: precision
-      value: 0.9369069235885541
+      value: 0.939087024087024
     - type: recall
-      value: 0.936231884057971
+      value: 0.9391304347826087
     - type: f1_macro
-      value: 0.8474441104841182
+      value: 0.8382786712762846
 ---
 
 # Model Card for Model ID
@@ -68,26 +68,26 @@ Este modelo foi treinado para classificar documentos jurídicos brasileiros usan
 
 As métricas abaixo foram calculadas no conjunto de validação:
 
-- **Accuracy:** 0.9362
-- **F1-Score (Weighted):** 0.9354
-- **Precision (Weighted):** 0.9369
-- **Recall (Weighted):** 0.9362
-- **F1-Score (Macro):** 0.8474
+- **Accuracy:** 0.9391
+- **F1-Score (Weighted):** 0.9370
+- **Precision (Weighted):** 0.9391
+- **Recall (Weighted):** 0.9391
+- **F1-Score (Macro):** 0.8383
 
 ## Classification Report Completo
 
 ```
               precision    recall  f1-score   support
 
-           0       0.60      0.38      0.46         8
-           1       0.86      0.98      0.92        45
+           0       0.67      0.25      0.36         8
+           1       0.87      1.00      0.93        45
            2       1.00      0.85      0.92        54
-           3       0.85      0.95      0.90        41
-           4       0.93      0.95      0.94       121
+           3       0.93      0.93      0.93        41
+           4       0.91      0.98      0.94       121
            5       0.95      0.95      0.95       421
 
     accuracy                           0.94       690
-   macro avg       0.87      0.84      0.85       690
+   macro avg       0.89      0.83      0.84       690
 weighted avg       0.94      0.94      0.94       690
 
 ```

config.json

@@ -40,7 +40,7 @@
   "pooler_type": "first_token_transform",
   "position_embedding_type": "absolute",
   "problem_type": "single_label_classification",
-  "transformers_version": "4.57.1",
+  "transformers_version": "4.57.3",
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 119547

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ebbc0bde22fe9605d6b416bb40abfd1a9c25bb23293ebd059249447c5a5db0fb
+oid sha256:1be4bf988ba15bb0f20dfdf17706882e11ac2fa21c8096f30edf7aa694b80f22
 size 711455760