Update README.md

README.md

@@ -25,7 +25,7 @@ following the [LLM teacher-student framework](https://ieeexplore.ieee.org/docume
 Evaluation of the GPT model has shown that its annotation performance is
 comparable to those of human annotators.
 
-The fine-tuned ParlaCAP model achieves 0.808 in macro-F1 on an English test set (440 instances from ParlaMint-GB 4.1, balanced by labels) 
+The fine-tuned ParlaCAP model achieves 0.752 in macro-F1 on an English test set (440 instances from ParlaMint-GB 4.1, balanced by labels) 
 and 0.656 in macro-F1 on a Croatian test set (440 instances from ParlaMint-HR 4.1, balanced by labels).
 
 An additional evaluation on smaller samples from Czech ParlaMint-CZ, Bulgarian ParlaMint-BG and Ukrainian ParlaMint-UA datasets shows 
@@ -43,9 +43,10 @@ Performance of the model on the remaining instances (all instances not annotated
 
 |    |   micro-F1 |   macro-F1 |   accuracy |
 |:---|-----------:|-----------:|-----------:|
-| EN |   0.838 |    0.838 |   0.838 |
+| EN |   0.780 |    0.779 |   0.779 |
 | HR |   0.724 |   0.726 |   0.724 |
 
+
 ## Use
 
 To use the model: