Add evaluation results on the lener_br config and validation split of lener_br

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Your model has been evaluated on the lener_br config and validation split of the [lener_br](https://huggingface.co/datasets/lener_br) dataset by

@Luciano

, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-lener_br-lener_br-d57983-1886264290).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=lener_br).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=lener_br).

README.md

@@ -36,6 +36,35 @@ model-index:
     - name: Accuracy
       type: accuracy
       value: 0.982592974434832
+  - task:
+      type: token-classification
+      name: Token Classification
+    dataset:
+      name: lener_br
+      type: lener_br
+      config: lener_br
+      split: validation
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.982592974434832
+      verified: true
+    - name: Precision
+      type: precision
+      value: 0.9882345251323615
+      verified: true
+    - name: Recall
+      type: recall
+      value: 0.9881214973122232
+      verified: true
+    - name: F1
+      type: f1
+      value: 0.9881780079902612
+      verified: true
+    - name: loss
+      type: loss
+      value: 0.16145998239517212
+      verified: true
 ---
 
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