Update README.md

README.md

@@ -81,7 +81,7 @@ Here is an example:
 
 
 The second part, which contains the context, is greedily filled until it contains 200 tokens.
-Our tests showed that including the context helped to improve the performance of the classification model considerably (~8% accuracy).
+Our tests showed that including the context helped to improve the performance of the classification model considerably (~7% accuracy).
 We tried other approaches like using two XLM-RoBERTa models as a duo, where one receives the sentence and one the context, and a shared-layer model, where both inputs are fed separately trough the same model.
 Both variants performed similarly to our sentence pair approach, but lead to higher complexity and computing costs, which is why we ultimately opted for the sentence pair way to include the surrounding context.