Update README.md

README.md

@@ -12,11 +12,13 @@ Our base model is SOTA-comparable on multiple MIR tasks even under probing setti
 Larger models trained with more data are on the way~
 
 # Model Architecture
+
 Music2Vec Framework. During pre-training, the student model aims to
 reconstruct the masked music audio by taking the contextualized representations provided by the teacher model as prediction targets.
 ![Model Architecture](music2vec.png)
 
 # Performance Comparison
+
 With 95M parameters and relatively small training data (1k hr), our base Music2Vec representation achieves comparable performance to the SOTA Jukebox-5B representation. 
 Note that our base model size is **<2%** of Jukebox-5B.
 ![Performance Comparison](music2vec_performance.png)