Update README.md

README.md

@@ -10,7 +10,25 @@ metrics:
 - accuracy
 model-index:
 - name: ner_tag_model
-  results: []
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    metrics:
+    - name: Precision
+      type: precision
+      value: 0.8568714588197879
+    - name: Recall
+      type: recall
+      value: 0.8550538245045557
+    - name: F1
+      type: f1
+      value: 0.8559616767268047
+    - name: Accuracy
+      type: accuracy
+      value: 0.9150941588185013]
+language:
+- en
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -72,4 +90,4 @@ The following hyperparameters were used during training:
 - Transformers 4.33.1
 - Pytorch 1.13.1+cu116
 - Datasets 2.14.5
-- Tokenizers 0.13.3
+- Tokenizers 0.13.3