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TCMChat

# TCMChat: Traditional Chinese Medicine Recommendation System based on Large Language Model [![Code License](https://img.shields.io/badge/Code%20License-Apache_2.0-green.svg)](https://github.com/SCIR-HI/Huatuo-Llama-Med-Chinese/blob/main/LICENSE) [![Python 3.10.12](https://img.shields.io/badge/python-3.10.12-blue.svg)](https://www.python.org/downloads/release/python-390/) ## 新闻 [2024-11-1] 我们在Huggingface上完全开源了模型权重和训练数据集 [2024-5-17] huggingface 开源模型权重 ## 应用 ### 安装 ```shell git clone https://github.com/daiyizheng/TCMChat cd TCMChat ``` 创建conda 环境 ```shell conda create -n baichuan2 python=3.10 -y ``` 首先安装依赖包，python环境建议3.10+ ``` shell pip install -r requirements.txt ``` ### 权重下载 - [TCMChat](https://huggingface.co/daiyizheng/TCMChat): 基于baichuan2-7B-Chat的中药、方剂知识问答与推荐。 ### 推理 #### 命令行测试 ```shell python cli_infer.py \ --model_name_or_path /your/model/path \ --model_type chat ``` #### Web页面测试 ```shell python gradio_demo.py ``` 我们提供了一个在线的体验工具：[https://xomics.com.cn/tcmchat](https://xomics.com.cn/tcmchat) ### 重新训练 #### 数据集下载 - [预训练数据](https://huggingface.co/datasets/ZJUFanLab/TCMChat-dataset-600k) - [微调数据](https://huggingface.co/datasets/ZJUFanLab/TCMChat-dataset-600k) - [基准评测数据](https://github.com/ZJUFanLab/TCMChat/tree/master/evaluation/resources) > 注意： 在执行预训练、微调和推理之前，请修改自己模型、数据等相关数据路径 #### 预训练 ```shell ## slurm 集群 sbatch scripts/pretrain/baichuan2_7b_chat.slurm ##或者 bash scripts/pretrain/baichuan2_7b_chat.sh ``` #### 微调 ```shell ## slurm 集群 sbatch scripts/sft/baichuan2_7b_chat.slurm ##或者 bash scripts/sft/baichuan2_7b_chat.sh ``` ### 训练细节 请参考论文实验部分说明。 ### 基准评估 #### 选择题 ```shell python evaluation/choices_evaluate/eval.py --model_path_or_name /your/model/path --model_name baichuan2-7b-chat --few_shot -sz herb --dev_file_path evaluation/resources/choice/single/tcm-herb_dev.csv --val_file_path evaluation/resources/choice/single/choice_herb_500.csv --log_dir logs/choices ``` #### 阅读理解 ```shell python infers/baichuan_infer.py \ --model_name_or_path /your/model/path / \ --model_type chat \ --save_path /your/save/data/path \ --data_path /your/data/path ##BertScore python evaluation/question_rouge_bleu.py/question_bert_score.py ## BLEU METEOR python evaluation/question_rouge_bleu.py/open_question_bleu.py ## ROUGE-x python evaluation/question_rouge_bleu.py/open_question_rouge.py ``` #### 实体抽取 ```shell python infers/baichuan_infer.py \ --model_name_or_path /your/model/path / \ --model_type chat \ --save_path /your/save/data/path \ --data_path /your/data/path python evaluation/ner_evaluate/tcm_entity_recognition.py ``` #### 医案诊断 ```shell python infers/baichuan_infer.py \ --model_name_or_path /your/model/path / \ --model_type chat \ --save_path /your/save/data/path \ --data_path /your/data/path python evaluation/acc_evaluate/extract_syndrome.py ``` #### 中药或方剂推荐 ```shell python infers/baichuan_infer.py \ --model_name_or_path /your/model/path / \ --model_type chat \ --save_path /your/save/data/path \ --data_path /your/data/path python evaluation/recommend_evaluate/mrr_ndcg_p_r.py ``` #### ADMET预测 ##### 回归任务 ```shell python infers/baichuan_infer.py \ --model_name_or_path /your/model/path / \ --model_type chat \ --save_path /your/save/data/path \ --data_path /your/data/path python evaluation/admet_evaluate/rmse_mae_mse.py ``` ##### 分类任务 ```shell python infers/baichuan_infer.py \ --model_name_or_path /your/model/path / \ --model_type chat \ --save_path /your/save/data/path \ --data_path /your/data/path python evaluation/admet_evaluate/acc_recall_f1.py ```