update model card README.md

README.md

@@ -21,16 +21,16 @@ model-index:
     metrics:
     - name: Precision
       type: precision
-      value: 0.70703125
+      value: 0.7111716621253406
     - name: Recall
       type: recall
-      value: 0.6495215311004785
+      value: 0.6244019138755981
     - name: F1
       type: f1
-      value: 0.6770573566084789
+      value: 0.664968152866242
     - name: Accuracy
       type: accuracy
-      value: 0.9649780715693129
+      value: 0.9642789042140724
 ---
 
 <!-- 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-dec2021](https://huggingface.co/cardiffnlp/twitter-roberta-base-dec2021) on the wnut_17 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2086
-- Precision: 0.7070
-- Recall: 0.6495
-- F1: 0.6771
-- Accuracy: 0.9650
+- Loss: 0.2152
+- Precision: 0.7112
+- Recall: 0.6244
+- F1: 0.6650
+- Accuracy: 0.9643
 
 ## Model description