docs: final touces

README.md

@@ -72,11 +72,11 @@ Ablation 3 is using the proposed hyper-parameters from the "[Don't Stop Pretrain
 
 Now we report the MLM accuracy and loss for the training, including the downstream task performance on the [BarNER](https://arxiv.org/abs/2403.12749) dataset. For fine-tuning, we use the last checkpoint and the hyper-parameters as specified in the [GERTuraX Fine-Tuner](https://github.com/stefan-it/gerturax-fine-tuner) repo:
 
-| Metric          | Ablation 1   | Ablation 2   | Ablation 3   | Ablation 4   |
-|:--------------- | ------------:| ------------:| ------------:| ------------:|
-| MLM Accuracy    |        72.24 |        72.17 |        72.99 |        71.61 |
-| Train Loss      |       2.9175 |       2.9248 |       2.8785 |       2.9689 |
-| BarNER F1-Score | 80.21 ± 0.31 | 80.83 ± 0.28 | 80.59 ± 0.35 | 80.06 ± 0.41 |
+| Metric          | Ablation 1   | Ablation 2       | Ablation 3   | Ablation 4   |
+|:--------------- | ------------:| ----------------:| ------------:| ------------:|
+| MLM Accuracy    |        72.24 |            72.17 |        72.99 |        71.61 |
+| Train Loss      |       2.9175 |           2.9248 |       2.8785 |       2.9689 |
+| BarNER F1-Score | 80.21 ± 0.31 | **80.83** ± 0.28 | 80.59 ± 0.35 | 80.06 ± 0.41 |
 
 # Results