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-1-3
  description: the set of idioms in the traning set of literal2idiomatic_d-1-3. Definitions of them are added as well.
literal2idiomatic:
  ver: d-1-3
  description: The idioms are annotated with <idiom> & </idiom>.
  train_ratio: 0.8
  seed: 104
  boi_token: <idiom>
  eoi_token: </idiom>