Update README.md

README.md

@@ -60,7 +60,7 @@ def postprocess(text):
 
 def answer_fn(text, top_p=0.6):
   encoding = tokenizer(text=[text], truncation=True, padding=True, max_length=256, return_tensors="pt").to(device) 
-  out = model.generate(**encoding, return_dict_in_generate=True, output_scores=False, max_length=512,temperature=0.5,do_sample=True,repetition_penalty=6.0 ,top_p=top_p)
+  out = model.generate(**encoding, return_dict_in_generate=True, output_scores=False, max_length=512,temperature=0.5,do_sample=True,repetition_penalty=3.0 ,top_p=top_p)
   result = tokenizer.batch_decode(out["sequences"], skip_special_tokens=True)
   return postprocess(result[0]) 
 text="宫颈癌的早期会有哪些危险信号"