update model card README.md

README.md

@@ -17,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [UBC-NLP/ARBERT](https://huggingface.co/UBC-NLP/ARBERT) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4747
-- Macro F1: 0.7661
-- Accuracy: 0.7773
-- Precision: 0.7748
-- Recall: 0.7619
+- Loss: 0.4896
+- Macro F1: 0.7637
+- Accuracy: 0.7738
+- Precision: 0.7695
+- Recall: 0.7604
 
 ## Model description
 
@@ -54,9 +54,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Macro F1 | Accuracy | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------:|:------:|
-| 0.5038        | 1.0   | 1597 | 0.4701          | 0.7596   | 0.7662   | 0.7595    | 0.7597 |
-| 0.379         | 2.0   | 3194 | 0.4747          | 0.7661   | 0.7773   | 0.7748    | 0.7619 |
-| 0.2462        | 3.0   | 4791 | 0.6113          | 0.7530   | 0.7629   | 0.7573    | 0.7504 |
+| 0.5031        | 1.0   | 1597 | 0.4754          | 0.7547   | 0.7606   | 0.7538    | 0.7559 |
+| 0.3832        | 2.0   | 3194 | 0.4896          | 0.7637   | 0.7738   | 0.7695    | 0.7604 |
+| 0.2571        | 3.0   | 4791 | 0.5890          | 0.7605   | 0.7692   | 0.7634    | 0.7585 |
 
 
 ### Framework versions