Add evaluation results on the conll2003 config and test split of conll2003

README.md

@@ -32,6 +32,35 @@ model-index:
     - name: Accuracy
       type: accuracy
       value: 0.9907182964622135
+  - task:
+      type: token-classification
+      name: Token Classification
+    dataset:
+      name: conll2003
+      type: conll2003
+      config: conll2003
+      split: test
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9108823919384779
+      verified: true
+    - name: Precision
+      type: precision
+      value: 0.9308372971460548
+      verified: true
+    - name: Recall
+      type: recall
+      value: 0.9213792387183881
+      verified: true
+    - name: F1
+      type: f1
+      value: 0.9260841198729938
+      verified: true
+    - name: loss
+      type: loss
+      value: 0.8661637306213379
+      verified: true
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You