update model card README.md

README.md

@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5193
-- Accuracy: 0.8848
-- F1: 0.9168
+- Loss: 0.6790
+- Accuracy: 0.8824
+- F1: 0.9161
 
 ## Model description
 
@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 230  | 0.3220          | 0.8824   | 0.9143 |
-| No log        | 2.0   | 460  | 0.2908          | 0.8824   | 0.9155 |
-| 0.3802        | 3.0   | 690  | 0.5193          | 0.8848   | 0.9168 |
-| 0.3802        | 4.0   | 920  | 0.7482          | 0.875    | 0.9088 |
-| 0.1052        | 5.0   | 1150 | 0.8090          | 0.8701   | 0.9059 |
+| No log        | 1.0   | 230  | 0.4008          | 0.8725   | 0.9113 |
+| No log        | 2.0   | 460  | 0.4873          | 0.8799   | 0.9114 |
+| 0.1743        | 3.0   | 690  | 0.6790          | 0.8824   | 0.9161 |
+| 0.1743        | 4.0   | 920  | 0.7307          | 0.8775   | 0.9117 |
+| 0.0455        | 5.0   | 1150 | 0.7307          | 0.8775   | 0.9117 |
 
 
 ### Framework versions