update model card README.md

README.md

@@ -4,9 +4,34 @@ tags:
 - generated_from_trainer
 datasets:
 - conll2003
+metrics:
+- precision
+- recall
+- f1
+- accuracy
 model-index:
 - name: bert-base-cased-ner-conll2003
-  results: []
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: conll2003
+      type: conll2003
+      args: conll2003
+    metrics:
+    - name: Precision
+      type: precision
+      value: 0.9438052359513089
+    - name: Recall
+      type: recall
+      value: 0.9525412319084483
+    - name: F1
+      type: f1
+      value: 0.9481531116508919
+    - name: Accuracy
+      type: accuracy
+      value: 0.9910634321093416
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,6 +40,12 @@ should probably proofread and complete it, then remove this comment. -->
 # bert-base-cased-ner-conll2003
 
 This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the conll2003 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0355
+- Precision: 0.9438
+- Recall: 0.9525
+- F1: 0.9482
+- Accuracy: 0.9911
 
 ## Model description