Wine Classifier

Instructions:

• Install requirements: pip install -r requirements.txt
• Download BERT base model (uncased) and place it in /bert
• To run train.py: python train.py
• To run train.py in debug mode: python train.py --debug True

Run best model:

• To run the best saved model, download the checkpoint, unzip it, and place it in /saved_models.
• Then, run python eval.py.

Misc:

• Logs for any given run are kept in /log
• The preprocessing script in /preprocessing combines the raw wine data and splits it randomly into train/dev/test splits (80/10/10).