Update README.md

README.md

@@ -111,7 +111,7 @@ If you want peak performance and do not worry too much about recent developments
 
 If you are fine with sacrificing a few points on benchmarks and want the model to know what happened from 2020 on (elections, covid, other cultural events etc.), I'd suggest you use this one.
 
-Another noticable difference is that V3 has a broader cosine_similarity spectrum, reaching from -1 to 1 (but mostly, the least is over -0.2). On the other side, V3b is more aligned with V2 and the similarity spectrum is around 0 to 1. Also, V3 uses cls_pooling while V3buses mean_pooling.
+Another noticable difference is that V3 has a broader cosine_similarity spectrum, reaching from -1 to 1 (but mostly, the least is over -0.2). On the other side, V3b is more aligned with V2 and the similarity spectrum is around 0 to 1. Also, V3 uses cls_pooling while V3b uses mean_pooling.
 
 
 **Q: How does the model perform vs. multilingual models?**