fix: Update docs/built-in-models/training.md

Co-authored-by: yuxizama <[email protected]>

docs/built-in-models/training.md

@@ -2,7 +2,7 @@
 
 This document explains how to train [SGD Logistic Regression](../references/api/concrete.ml.sklearn.linear_model.md#class-sgdclassifier) on encrypted data.
 
-Training on encrypted data is done through an FHE program that is generated by Concrete ML, based on the characteristics of the data that are given to the `fit` function. The FHE program associated to a `SGDClassifier` object, once it is fit on the encrypted data, is specific to the distribution and the dimensionality of that data.
+Training on encrypted data is done through an FHE program that is generated by Concrete ML, based on the characteristics of the data that are given to the `fit` function. Once the FHE program associated with the `SGDClassifier` object has fit the encrypted data, it performs specifically to that data's distribution and dimensionality.
 
 When deploying encrypted training services, you need to consider the type of data that future users of your services will train on: