update model card README.md

README.md

@@ -21,16 +21,16 @@ model-index:
     metrics:
     - name: Precision
       type: precision
-      value: 0.7024901703800787
+      value: 0.7045454545454546
     - name: Recall
       type: recall
-      value: 0.6411483253588517
+      value: 0.6303827751196173
     - name: F1
       type: f1
-      value: 0.6704190118824266
+      value: 0.6654040404040403
     - name: Accuracy
       type: accuracy
-      value: 0.9645967075573635
+      value: 0.9639611008707811
 ---
 
 <!-- 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 wnut_17 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1880
-- Precision: 0.7025
-- Recall: 0.6411
-- F1: 0.6704
-- Accuracy: 0.9646
+- Loss: 0.1938
+- Precision: 0.7045
+- Recall: 0.6304
+- F1: 0.6654
+- Accuracy: 0.9640
 
 ## Model description