Simple PyTorch Baseline for Training

• Branch holds each own implementation
  • Jihun
  • Bigyeol
  • Bohyeon

TODO

utils

• F1
• Accuracy
• config
• config param save

log

• tensorboard logging
• csv logging

trainer

• logging pesudo code
• train pesudo code
• validation pesudo code
• model save
• load model for continual learning
• early stopping
• metric save

other

• Pytorch lightning

Setting

miniconda, anaconda, python venv

my server setting

conda create base -n python=3.9
conda install -c "nvidia/label/cuda-12.1.0" cuda-toolkit
conda install pytorch torchvision torchaudio pytorch-cuda=12.1 -c pytorch -c nvidia
pip install -r requirements.txt

How to use

1. clone the repository
2. make virtual enviornmnet
3. make custom dataset
4. make model
5. make own your transformer
6. fill trainer setup
7. fill the train, _valid function