Update README.md

README.md

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 # Stylizing ViT Tiny - DDI *(Dermatology)*
 
 <!-- Provide a quick summary of what the model is/does. -->
-This model is the **Tiny** variant of **Stylizing ViT**, trained on the [**Diverse Dermatology Images (DDI)**](https://ddi-dataset.github.io/) (dermatology) dataset with the following splits: Train: {12} / Val: {34} / Test: {56}.
+This model is the **Tiny** variant of **Stylizing ViT**, trained on the [**Diverse Dermatology Images (DDI)**](https://ddi-dataset.github.io/) (dermatology) dataset with the following splits: **Train: {12} / Val: {34} / Test: {56}**.
 
 **Stylizing ViT** is a novel Vision Transformer encoder that utilizes weight-shared attention blocks for both self- and cross-attention. This design allows the same attention block to maintain anatomical consistency (via self-attention) while performing style transfer (via cross-attention), enabling anatomy-preserving instance style transfer for domain generalization in medical imaging.