chore: Add bottom 10% and top 60% pretrained models for CIFAR10 and STL10 datasets

README.md

@@ -15,7 +15,9 @@ This repository contains models trained using Masked Autoencoders (MAE) on CIFAR
 ### Models Included:
 - **No Mode:** MAE trained on original images.
 - **Bottom 25% Variance:** MAE trained to reconstruct images using components with the lowest 25% variance.
+- **Bottom 10% Variance:** MAE trained to reconstruct images using components with the lowest 10% variance.
 - **Top 75% Variance:** MAE trained to reconstruct images using components with the highest 75% variance.
+- **Top 60% Variance:** MAE trained to reconstruct images using components with the highest 60% variance.
 
 ## Model Details
 ### Dataset