update model card README.md

README.md

@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Mathking/bert-base-german-cased-gnad10](https://huggingface.co/Mathking/bert-base-german-cased-gnad10) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4725
-- Accuracy: 0.8667
+- Loss: 0.4327
+- Accuracy: 0.8733
 
 ## Model description
 
@@ -47,15 +47,15 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.3043        | 0.4   | 30   | 0.8691          | 0.7533   |
-| 0.74          | 0.8   | 60   | 0.5307          | 0.82     |
-| 0.4729        | 1.2   | 90   | 0.4614          | 0.8133   |
-| 0.3212        | 1.6   | 120  | 0.5641          | 0.8067   |
-| 0.379         | 2.0   | 150  | 0.4321          | 0.8467   |
-| 0.1906        | 2.4   | 180  | 0.4359          | 0.8667   |
-| 0.164         | 2.8   | 210  | 0.5124          | 0.8133   |
-| 0.1294        | 3.2   | 240  | 0.4615          | 0.8533   |
-| 0.1393        | 3.6   | 270  | 0.4725          | 0.8667   |
+| 1.3737        | 0.4   | 30   | 0.9333          | 0.7133   |
+| 0.7848        | 0.8   | 60   | 0.5591          | 0.8133   |
+| 0.4933        | 1.2   | 90   | 0.4939          | 0.8      |
+| 0.3441        | 1.6   | 120  | 0.5537          | 0.8133   |
+| 0.3972        | 2.0   | 150  | 0.4229          | 0.8533   |
+| 0.2103        | 2.4   | 180  | 0.4327          | 0.8733   |
+| 0.1783        | 2.8   | 210  | 0.4834          | 0.8467   |
+| 0.1367        | 3.2   | 240  | 0.4634          | 0.86     |
+| 0.1273        | 3.6   | 270  | 0.4828          | 0.8467   |
 
 
 ### Framework versions