update model card README.md

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the swag dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4399
-- Accuracy: 0.8414
+- Loss: 0.4409
+- Accuracy: 0.8388
 
 ## Model description
 
@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.574         | 1.0   | 574  | 0.4905          | 0.8134   |
-| 0.5075        | 2.0   | 1148 | 0.4292          | 0.8349   |
-| 0.3809        | 3.0   | 1722 | 0.4399          | 0.8414   |
+| 0.5749        | 1.0   | 574  | 0.4971          | 0.8122   |
+| 0.5427        | 2.0   | 1148 | 0.4358          | 0.8324   |
+| 0.3896        | 3.0   | 1722 | 0.4409          | 0.8388   |
 
 
 ### Framework versions