Update README.md

README.md

@@ -37,7 +37,7 @@ The model architecture is based off of the [Diffusion Transformer architecture](
 
 ### Training Details
 
-The model was trained using the `bert-base-uncased` tokenizer.
+The model was trained using the `yairschiff/qm9-tokenizer` tokenizer, a custom tokenizer for parsing SMILES strings.
 We trained for 25k gradient update steps using a batch size of 2,048.
 We used linear warm-up with 1,000 steps until we reach a learning rate of 3e-4 and the applied cosine-decay until reaching a minimum learning rate of 3e-6.