| ## Training Details | |
| + Dataset: nq_search | |
| + Training Curve: https://wandb.ai/1004271927-SHU/search_r1_qa_em/runs/k1ilsvfj?nw=nwuser1004271927 | |
| ## Prompt Format | |
| ```python | |
| question = ( | |
| 'Answer the given question by calling the Search tool. ' | |
| 'You must perform your reasoning within <think> and </think> before each tool call. ' | |
| 'After reasoning, call the Search tool (described as: a tool that performs web search based on a given text query) ' | |
| 'by passing the query inside <tool_query>...</tool_query>. ' | |
| 'The tool will return its result between <tool_result> and </tool_result>. ' | |
| 'You may call the tool as many times as needed. ' | |
| 'If no further tool calls are required, provide the final answer directly within <answer>...</answer>, ' | |
| 'without additional explanation. For example: <answer> Beijing </answer>. ' | |
| 'Question: {question}' | |
| ) | |
| user_question = "What is the capital of France?" | |
| formatted_question = question.format(question=user_question) | |
| messages = [{"role": "user", "content": formatted_question}] | |
| input = tokenizer.apply_chat_template( | |
| messages, | |
| add_generation_prompt=True, | |
| tokenize=False | |
| ) | |
| print(input) | |
| ``` |