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

Beep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
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-c186f5-1776861662).\
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: 0.17586557567119598
       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: 0.9986508230532317
+      verified: true
+    - name: Precision
+      type: precision
+      value: 0.9980332928982356
+      verified: true
+    - name: Recall
+      type: recall
+      value: 0.998726011303645
+      verified: true
+    - name: F1
+      type: f1
+      value: 0.998379531941543
+      verified: true
+    - name: loss
+      type: loss
+      value: 0.002737082075327635
+      verified: true
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You