Update README.md

README.md

@@ -81,9 +81,13 @@ your desired response length:
 
 ## Training procedure
 [Axolotl](https://github.com/OpenAccess-AI-Collective/axolotl) was used for training
-on a single NVidia RTX3090 GPU. The model has been trained as a 4-bit LoRA adapter, which
-is so large because a LoRA rank of 256 was used. It's suggested to merge the adapter to
-the base Llama2-7B model (or other Llama2-based models).
+on a single NVidia RTX3090 GPU. The model has been trained as a 4-bit LoRA adapter, and
+it's so large because a LoRA rank of 256 was also used. The reasoning was that this
+might have helped the model internalize any newly acquired information, making the
+training process closer to a full finetune.
+
+It's suggested to merge the adapter to the base Llama2-7B model (or other Llama2-based
+models).
 
 ### Training hyperparameters
 For the first pass these settings were used: