update model card README.md

README.md

@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Maltehb/danish-bert-botxo](https://huggingface.co/Maltehb/danish-bert-botxo) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6686
-- Accuracy: 0.7583
+- Loss: 1.4956
+- Accuracy: 0.6737
 
 ## Model description
 
@@ -42,22 +42,27 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 42   | 0.7139          | 0.7644   |
-| No log        | 2.0   | 84   | 0.6871          | 0.7613   |
-| No log        | 3.0   | 126  | 0.6712          | 0.7613   |
-| 0.745         | 4.0   | 168  | 0.6700          | 0.7583   |
-| 0.745         | 5.0   | 210  | 0.6686          | 0.7583   |
+| No log        | 1.0   | 42   | 1.3370          | 0.6707   |
+| No log        | 2.0   | 84   | 1.4095          | 0.6798   |
+| No log        | 3.0   | 126  | 1.4965          | 0.6707   |
+| 0.077         | 4.0   | 168  | 1.4925          | 0.6798   |
+| 0.077         | 5.0   | 210  | 1.4526          | 0.6647   |
+| 0.077         | 6.0   | 252  | 1.4712          | 0.6737   |
+| 0.0593        | 7.0   | 294  | 1.4944          | 0.6707   |
+| 0.0593        | 8.0   | 336  | 1.4980          | 0.6677   |
+| 0.0593        | 9.0   | 378  | 1.4897          | 0.6707   |
+| 0.0646        | 10.0  | 420  | 1.4956          | 0.6737   |
 
 
 ### Framework versions
 
-- Transformers 4.28.1
+- Transformers 4.28.0
 - Pytorch 2.0.0+cu118
-- Datasets 2.11.0
+- Datasets 2.12.0
 - Tokenizers 0.13.3