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

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Your model has been evaluated on the lener_br config and train 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-c186f5-1776861661).\
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

@@ -92,6 +92,35 @@ model-index:
       type: loss
       value: 0.24753354489803314
       verified: true
+  - task:
+      type: token-classification
+      name: Token Classification
+    dataset:
+      name: lener_br
+      type: lener_br
+      config: lener_br
+      split: train
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.999662705763308
+      verified: true
+    - name: Precision
+      type: precision
+      value: 0.9996394685766821
+      verified: true
+    - name: Recall
+      type: recall
+      value: 0.9997265731807351
+      verified: true
+    - name: F1
+      type: f1
+      value: 0.9996830189813041
+      verified: true
+    - name: loss
+      type: loss
+      value: 0.0008438663207925856
+      verified: true
 ---
 
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