Update README.md

README.md

@@ -139,8 +139,8 @@ model_id = "gbyuvd/drugtargetpred-chemselfies"
 tokenizer = AutoTokenizer.from_pretrained(model_id)
 model = AutoModelForSequenceClassification.from_pretrained(model_id)
 
-# Load the updated_label_dict.json file
-with open("updated_label_dict.json", "r") as f:
+# Load the label_dict.json file
+with open("label_dict.json", "r") as f:
     label_dict = json.load(f)
 
 # Create a mapping from label number to CHEMBL ID and target name
@@ -235,7 +235,7 @@ Data Selection Criteria:
 - SMILES: Canonical representations only
 
 Data Preprocessing
-- Convertion from Canonical SMILES into SELFIES readable by base model's tokenizer, any failed entries are removed
+- Conversion from Canonical SMILES into SELFIES readable by base model's tokenizer, any failed entries are removed
 - Balancing the data distribution by setting up min max (1000)
 
 ### Training Procedure