Update README.md

README.md

@@ -216,7 +216,7 @@ Note this provides both in- and out-of-domain evaluation as some of the tasks an
 
 <!-- These are the evaluation metrics being used, ideally with a description of why. -->
 
-We employed **Spearman’s rank correlation** with expert judgements and **Mean Absolute Error (MAE)** metrics alongside the Verdict Confidence to assess the performance of pollux-judge-7b and compare it with those of the reference models.
+We employed **Spearman’s rank correlation** with expert judgements and **Mean Absolute Error (MAE)** metrics alongside the Verdict Confidence to assess the performance of pollux-judge-32b and compare it with those of the reference models.
 
 MAE offers a high degree of interpretability, as it is measured on the same scale as the annotation – specifically, in points. 
 On the other hand, Spearman’s rank correlation allows to quantify the degree of monotonic association between the two rankings of models outputs and