Update README.md

README.md

@@ -217,7 +217,16 @@ Label distribution in the training dataset:
 The model was evaluated on a manually-annotated test set in four languages (Croatian, Slovenian, Catalan and Greek), consisting of 1.130 instances.
 The test set contains equal amounts of texts from the four languages and is more or less balanced across labels.
 
-The model was shown to achieve accuracy of 0.78	and macro-F1 scores of 0.72.
+The model was shown to achieve accuracy of 0.78	and macro-F1 scores of 0.72. The results for the entire test set and per language:
+
+| Language   |   Accuracy |   Macro-F1 | No. of instances |
+|:-------|-----------:|-----------:|-----------:|
+| All (combined)    |   0.784071 |   0.723079 |   1130 |
+|     |    |    |   |
+| Croatian     |   0.786942 |   0.732721 |   291 |
+| Catalan     |   0.752809 |   0.676812 |   267 |
+| Slovenian     |   0.80212  |   0.736939 |   283 |
+| Greek     |   0.792388 |   0.725062 |   289 |
 
 ### Fine-tuning hyperparameters