diff --git a/backend/Generator/main.py b/backend/Generator/main.py
index 04aed79f..4223e9e4 100644
--- a/backend/Generator/main.py
+++ b/backend/Generator/main.py
@@ -160,7 +160,7 @@ def generate_paraphrase(self, payload):
         sentence = text
         text_to_paraphrase = "paraphrase: " + sentence + " </s>"
 
-        encoding = self.tokenizer.encode_plus(text_to_paraphrase, pad_to_max_length=True, return_tensors="pt")
+        encoding = self.tokenizer.encode_plus(text_to_paraphrase, padding="max_length", truncation=True, return_tensors="pt")
         input_ids, attention_masks = encoding["input_ids"].to(self.device), encoding["attention_mask"].to(self.device)
 
         beam_outputs = self.model.generate(
diff --git a/backend/Generator/mcq.py b/backend/Generator/mcq.py
index e2c82954..4db80edd 100644
--- a/backend/Generator/mcq.py
+++ b/backend/Generator/mcq.py
@@ -177,7 +177,7 @@ def generate_multiple_choice_questions(keyword_sent_mapping, device, tokenizer,
         text = context + " " + "answer: " + answer + " </s>"
         batch_text.append(text)
 
-    encoding = tokenizer.batch_encode_plus(batch_text, pad_to_max_length=True, return_tensors="pt")
+    encoding = tokenizer.batch_encode_plus(batch_text, padding="max_length", truncation=True, return_tensors="pt")
 
     print("Generating questions using the model...")
     input_ids, attention_masks = encoding["input_ids"].to(device), encoding["attention_mask"].to(device)
@@ -223,7 +223,7 @@ def generate_normal_questions(keyword_sent_mapping, device, tokenizer, model):
         text = context + " " + "answer: " + answer + " </s>"
         batch_text.append(text)
 
-    encoding = tokenizer.batch_encode_plus(batch_text, pad_to_max_length=True, return_tensors="pt")
+    encoding = tokenizer.batch_encode_plus(batch_text, padding="max_length", truncation=True, return_tensors="pt")
 
     print("Running model for generation...")
     input_ids, attention_masks = encoding["input_ids"].to(device), encoding["attention_mask"].to(device)