README.md

This is a clone of https://github.com/atselousov/transformer_chatbot

This project use Python3! Before use scripts, you should first do following things:

1. Download BPE vocabulary files and a checkpoint file

bash envirionment/prepare_environment.sh

2. Download datasets

python build.py

3. Reinstall spacy and Download spacy-en

pip uninstall spacy
pip install spacy=2.0.0
wget https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-2.0.0/en_core_web_sm-2.0.0.tar.gz
pip install --user en_core_web_sm-2.0.0.tar.gz
python -m spacy link en_core_web_sm en

4. Install dependencies

pip install -r requirements.txt

5. Download pretrained OpenAI-GPT weights

git clone https://github.com/openai/finetune-transformer-lm
mv finetune-transformer-lm/models/* parameters/*
mv parameters/params_shapes.json parameters/parameters_shapes.json
rm -rf finetune-transformer-lm

Train Commands

python train.py

To train from scratch (this initializes weights with pretrained OpenAI GPT), set load_last = False of trainer_config in config.py

To train from some checkpoint, set load_last = True and trained_checkpoint_path = <the path> of trainer_config in config.py

The trainer loads datasets from paths in train_datasets (valid_datasets) of trainer_config in config.py

We used following hyper-parameter settings in our re-implementation. (Modify this in config.py)

n_epochs: 80
batch_size: 160
batch_split: 64
lr: 6.25e-5
lr_warmup: 16000
lm_weight: 0.5
risk_weight: 0
n_jobs: 4
label_smoothing: 0.1
clip_grad: None
test_period: 1

Evaluation Commands

python eval_f1.py
python eval_hits.py

To evaluate learned model, modify checkpoint_path of model_config in config.py to the saved checkpoint.