Update README.md

README.md

@@ -26,32 +26,32 @@ Framework: PyTorch, diffusers
 Author: Paul Courneya (Harley-ml)
 ```
 
-## Description
+## **Description**
 MNiST-IMG-390k is an ~**390k parameter model** trained to **generate an image** based on an **input number (0-9)**. 
 
-## Training
+## **Training**
 
-### Hardware
+### **Hardware**
 
 MNiST-IMG was trained on Google Colaboratory (NVIDA Tesla T4) for ~10 minutes with a batch size of 64 for 10 epochs.
 
-### Dataset
+### **Dataset**
 
 [ylecun/mnist](https://huggingface.co/ylecun/mnist)
 
-### Training Results
+### **Training Results**
 
-Loss ended at ~0.39.
+Loss ended at ~**0.39**.
 
 Note: I can't provide the raw training logs as I loss it somehwere after training. Sorry!
 
 ## **Generation Examples**
 
-At 1000 decoding steps:
+At **1000** decoding steps:
 
 ![1000 Decoding Step Digit Image Generation](images/digit_image_samples_1000s.png)
 
-At 200 decoding steps:
+At **200** decoding steps:
 
 ![1000 Decoding Step Generation Image](images/digit_image_samples_200s.png)