Update README.md

README.md

@@ -7,7 +7,7 @@ datasets:
 metrics:
 - accuracy
 model-index:
-- name: PubChem10m-deberta-base-output
+- name: PubChem-10m-deberta
   results:
   - task:
       name: Masked Language Modeling
@@ -33,11 +33,11 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+We trained deberta-base on SMILES from PubChem using the task of masked-language modeling (MLM). Its tokenizer is a character-level tokenizer trained on PubChem.
 
 ## Intended uses & limitations
 
-More information needed
+This model can be used for the prediction of molecules' properties, reactions, or interactions with proteins by changing the way of finetuning.
 
 ## Training and evaluation data