update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.7973258268824771
+      value: 0.800844475721323
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the tweet_eval dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5657
-- Accuracy: 0.7973
+- Loss: 0.5687
+- Accuracy: 0.8008
 
 ## Model description
 
@@ -63,8 +63,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 204  | 0.6409          | 0.7875   |
-| No log        | 2.0   | 408  | 0.5657          | 0.7973   |
+| No log        | 1.0   | 204  | 0.6383          | 0.7910   |
+| No log        | 2.0   | 408  | 0.5687          | 0.8008   |
 
 
 ### Framework versions