Update README.md

README.md

@@ -25,7 +25,7 @@ Final result:
 - Training Loss: 0.1009
 - Eval Loss: 0.1386
 
-It seems like using random crops helped the model to generalize better, however, the training dataset only contained 512x512 images, which meant that every cropped image had bilinear interpolation. Training the model on 1024x1024 images could probably further improve its performance.
+It seems like using random crops helped the model to generalize better, however, the training dataset only contained 512x512 images, which meant that every cropped image had bilinear interpolation. Training the model on 1024x1024 images could probably further improve its performance. *(Maybe I'll do it later)*
 
 ## Performance comparison