Update README.md

README.md

@@ -16,10 +16,10 @@ In addition to cross entropy and cosine teacher-student losses, DistilProtBert w
 
 DistilProtBert was pretrained on millions of proteins sequences. 
 
-Few important differences between DistilProtBert model and the original ProtBert version are:
+Differences between DistilProtBert model and ProtBert:
 1. Size of the model: 
-  - 230M parameters (ProtBert has 420M parameters)
-  - 15 hidden layers (ProtBert has 30 hidden layers)
+    - 230M parameters (420M parameters in ProtBert)
+    - 15 hidden layers (30 hidden layers in ProtBert)
 2. Size of the pretraining dataset: ~43M proteins (ProtBert was pretrained on 216M proteins)
 3. Hardware used for pretraining: five v100 32GB Nvidia GPUs (ProtBert was pretrained on 512 16GB TPUs)