Bag of Tricks for Efficient Text Classification

Implementation of Bag of Tricks for Efficient Text Classification in PyTorch using TorchText

Things you can try:

• Use n-grams by setting N_GRAMS > 1. Note: this slows down pre-processing.
• Reduce the vocabulary size by setting VOCAB_MAX_SIZE or increasing VOCAB_MIN_FREQ
• Train on truncated sequences by setting MAX_LENGTH
• Change the tokenizer to a built in one, like the spaCy tokenizer, by setting TOKENIZER = 'spacy'. Note: this slows down the pre-processing considerably.