idiomifier:
  ver: m-1-2
  desc: just overfitting the model, but on the entire PIE dataset.
  bart: facebook/bart-base
  lr: 0.0001
  literal2idiomatic_ver: d-1-2
  idioms_ver: d-1-2
  max_epochs: 2
  batch_size: 40
  shuffle: true
  seed: 104

# for building & uploading datasets or tokenizer
idioms:
  ver: d-1-2
  description: the set of idioms in the traning set of literal2idiomatic_d-1-2.
literal2idiomatic:
  ver: d-1-2
  description: PIE data split into train & test set (80 / 20 split). There is no validation set because I don't intend to do any hyperparameter tuning on this thing.
  train_ratio: 0.8
  seed: 104