Update README.md

README.md

@@ -29,7 +29,7 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-We trained t5 on SMILES from ZINC using the task of masked-language modeling (MLM). Compared to PubChem-t5, PubChemC-t5-v2 uses a character-level tokenizer, and it was also trained on ZINC.
+We trained t5 on SMILES from ZINC using the task of masked-language modeling (MLM). Compared to ZINC-t5, ZINC-t5-v2 uses a character-level tokenizer, and it was also trained on ZINC.
 
 
 ## Intended uses & limitations