st9007a/ChineseQABot

Chinese QA Bot

Using transformer to train a Chinese chatbot.

Dataset

• Reference: PTT 中文語料
• Download dataset: sh download_data.sh

Code Reference

• Google transformer architecture: tensorflow/models/official/transformer

Installation

pip3 install -r requires.txt

Training pipeline

1. Build the data file with .tfrecord format:

python3 build_data.py

2. Train your model:

python3 train.py config/test_config.yml

You can customize your model architecture by writing a new .yml file. For more detail, see config/test_config.yml

If you want to change the learning rate, total training steps or other training strategies, please modify the code in train.py.

Tensorboard

Type the following command and check the url: http://localhost:8080

tensorboard --logdir build --port 8080

Run a simple chatbot

train.py will export a Tensorflow SavedModel every 100000 training steps. Those models will be placed under serve folder.

To run a simple demo, make sure SavedModel exist and type the following command:

python3 chat.py serve/[YOUR MODEL FOLDER]