update model card README.md

README.md

@@ -21,16 +21,16 @@ model-index:
     metrics:
     - name: Precision
       type: precision
-      value: 0.952492082013669
+      value: 0.953111963957951
     - name: Recall
       type: recall
-      value: 0.9616290811174689
+      value: 0.9612924941097274
     - name: F1
       type: f1
-      value: 0.9570387739720292
+      value: 0.9571847507331379
     - name: Accuracy
       type: accuracy
-      value: 0.9925236556208871
+      value: 0.9925820645613489
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -40,11 +40,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base](https://huggingface.co/cardiffnlp/twitter-roberta-base) on the conll2003 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0422
-- Precision: 0.9525
-- Recall: 0.9616
-- F1: 0.9570
-- Accuracy: 0.9925
+- Loss: 0.0423
+- Precision: 0.9531
+- Recall: 0.9613
+- F1: 0.9572
+- Accuracy: 0.9926
 
 ## Model description