Update README.md

README.md

@@ -63,12 +63,12 @@ results = []
 for dt in tqdm(datasets):
   input = dt["input"]
 
-  prompt = f"""### 指示:\n{input}\n\n### 回答:\n"""
+  prompt = f"""### 指示\n{input}\n\n### 回答\n"""
 
   inputs = tokenizer([prompt], return_tensors = "pt").to(model.device)
 
   outputs = model.generate(**inputs, max_new_tokens = 512, use_cache = True, do_sample=False, repetition_penalty=1.2)
-  prediction = tokenizer.decode(outputs[0], skip_special_tokens=True).split('\n### 回答:\n')[-1]
+  prediction = tokenizer.decode(outputs[0], skip_special_tokens=True).split('\n### 回答\n')[-1]
 
   results.append({"task_id": dt["task_id"], "input": input, "output": prediction})