In FinGPT-v1, there is only 1 type of instruction being used as model input during fine-tuning:
"instruction": "What is the sentiment of this news? Answer:{very negative/negative/neutral/positive/very positive} \n input": "今天的日期为:2023-06-12。\n新闻标题为:\"南山铝业本周融资净偿还862.5万元,居有色金属板块第九\"。
Did you only use this type of instruction? Or you designed other instructions for different tasks and used them for tuning? If you used other instructions, may I ask if they can be made public? Thank you.
In FinGPT-v1, there is only 1 type of instruction being used as model input during fine-tuning:
"instruction": "What is the sentiment of this news? Answer:{very negative/negative/neutral/positive/very positive} \n input": "今天的日期为:2023-06-12。\n新闻标题为:\"南山铝业本周融资净偿还862.5万元,居有色金属板块第九\"。
Did you only use this type of instruction? Or you designed other instructions for different tasks and used them for tuning? If you used other instructions, may I ask if they can be made public? Thank you.