update model card README.md

README.md

@@ -17,10 +17,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [GroNLP/bert-base-dutch-cased](https://huggingface.co/GroNLP/bert-base-dutch-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8136
-- Accuracy: 0.8189
-- F1: 0.8189
-- Recall: 0.7604
+- Loss: 0.7485
+- Accuracy: 0.8458
+- F1: 0.8442
+- Recall: 0.7474
 
 ## Model description
 
@@ -51,10 +51,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|
-| 0.5247        | 1.0   | 32   | 0.4726          | 0.8110   | 0.8092 | 0.7083 |
-| 0.2684        | 2.0   | 64   | 0.5090          | 0.7874   | 0.7897 | 0.7917 |
-| 0.1319        | 3.0   | 96   | 0.7653          | 0.8031   | 0.8027 | 0.7292 |
-| 0.035         | 4.0   | 128  | 0.8136          | 0.8189   | 0.8189 | 0.7604 |
+| 0.5268        | 1.0   | 36   | 0.5424          | 0.8063   | 0.8057 | 0.7263 |
+| 0.318         | 2.0   | 72   | 0.4688          | 0.8182   | 0.8182 | 0.7579 |
+| 0.1244        | 3.0   | 108  | 0.6019          | 0.8379   | 0.8366 | 0.7474 |
+| 0.0308        | 4.0   | 144  | 0.7485          | 0.8458   | 0.8442 | 0.7474 |
 
 
 ### Framework versions