Update

README.md

@@ -257,7 +257,7 @@ for dt in tqdm(datasets):
 
   inputs = tokenizer([prompt], return_tensors = "pt").to(model.device)
 
-  outputs = model.generate(**inputs, max_new_tokens = 1024, use_cache = True, do_sample=False, repetition_penalty=1.2)
+  outputs = model.generate(**inputs, max_new_tokens = 2048, use_cache = True, do_sample=False, repetition_penalty=1.2)
   prediction = tokenizer.decode(outputs[0], skip_special_tokens=True).split('\n### 回答')[-1]
 
   results.append({"task_id": dt["task_id"], "input": input, "output": prediction})