Update README.md

README.md

@@ -35,7 +35,7 @@ This is a <b>DeBERTa</b> <b>[1]</b> uncased model for the <b>Italian</b> languag
 The model is trained to perform entity recognition over 4 classes: <b>PER</b> (persons), <b>LOC</b> (locations), <b>ORG</b> (organizations), <b>MISC</b> (miscellanea, mainly events, products and services). It has been fine-tuned for Named Entity Recognition, using the WikiNER Italian dataset plus an additional custom dataset of manually annotated Wikipedia paragraphs.
 The WikiNER dataset has been splitted in 102.352 training instances and 25.588 test instances, and the model has been trained for 1 epoch with a constant learning rate of 1e-5.
 
-The model has been first fine-tuned on WikiNER, then focused on the Italian language and turned to uncased by modifying the embedding layer (as in [3], computing document-level frequencies over the Wikipedia dataset), and lastly fine-tuned on an additional fine-tuning on ~3.500 manually annotated lowercase paragraphs.
+The model has been first fine-tuned on WikiNER, then focused on the Italian language and turned to uncased by modifying the embedding layer (as in [3], computing document-level frequencies over the Wikipedia dataset), and lastly fine-tuned on an additional dataset of ~3.500 manually annotated lowercase paragraphs.
 
 <h3>Quick usage</h3>