Update README.md

README.md

@@ -26,7 +26,7 @@ Evaluation of the GPT model has shown that its annotation performance is
 comparable to those of human annotators.
 
 The fine-tuned ParlaCAP model achieves 0.752 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).
+and 0.694 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 
 that the model achieves macro-F1 scores of 0.736, 0.75 and 0.805 on these three test datasets, respectively.