Add evaluation results on the lener_br config and test split of 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: test
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9852529735242637
+      verified: true
+    - name: Precision
+      type: precision
+      value: 0.9881750977971472
+      verified: true
+    - name: Recall
+      type: recall
+      value: 0.988704516705112
+      verified: true
+    - name: F1
+      type: f1
+      value: 0.9884397363605254
+      verified: true
+    - name: loss
+      type: loss
+      value: 0.1301041841506958
+      verified: true
 ---
 
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