Update modeling.py

modeling.py

@@ -173,9 +173,8 @@ class RecombinationTransformerForCausalLM(PreTrainedModel):
         
         return CausalLMOutputWithPast(logits=logits, past_key_values=past_key_values)
 
-    def generate(self, input_ids, attention_mask=None, max_length=20, min_length=None, num_return_sequences=1):
+    def generate(self, input_ids, attention_mask=None, max_length=512, min_length=None, num_return_sequences=1):
         logits_processor = LogitsProcessorList()
-        stopping_criteria = StoppingCriteriaList([MaxLengthCriteria(max_length=max_length)])
         
         if min_length is not None:
             logits_processor.append(MinLengthLogitsProcessor(min_length, eos_token_id=self.config.eos_token_id))
@@ -185,8 +184,7 @@ class RecombinationTransformerForCausalLM(PreTrainedModel):
             attention_mask=attention_mask,
             max_length=max_length,
             num_return_sequences=num_return_sequences,
-            logits_processor=logits_processor,
-            stopping_criteria=stopping_criteria
+            logits_processor=logits_processor
         )
         
         return outputs