diff --git a/README.md b/README.md
index 4015bfb3a818a81e4de575f10883bff5c8f402d2..6332134998939d407a92fecdf8f2038dadda1652 100644
--- a/README.md
+++ b/README.md
@@ -28,7 +28,7 @@ The MobileFaceNet is an off-the-shelf network and is clean. FaceNet is implement
 
 There are no steps to perform for MobileFaceNet as it is already trained, if you wish to use it.
 
-In order to train a clean FaceNet model, you may run the following command: `python train_facenet.py fit --config facenet_config/clean_facenet.yaml`.
+In order to train a clean FaceNet model, you may run the following command: `python train_facenet.py fit --config facenet_config/clean_facenet.yaml`. Please note: the config file is the exact one used, but which depended on an earlier version of pytorch-lightning. The user is left having to decide on whether to train the model using the earlier pytorch-lightning version (defined in the corresponding config file) or update it to the more recent pytorch-lightning version.
 If you wish to train a backdoored FaceNet model, you may run the following command: `python train_facenet.py fit --config facenet_config/bd_large_facenet.yaml` or `python train_facenet.py fit --config facenet_config/bd_small_facenet.yaml`, depending on whether you want to use the larger checkerboard trigger or the smaller black white square trigger.
 
 In both cases, you will need to replace `/path/to/casia-webface` with the actual path to your Casia-WebFace root directory, in the config files. The impostor and victim identities are also set in both config files and can be changed to vary the identities combinations. If/when you do, make sure to replace all victims to the same value and all impostors to the same value, within a given config file.