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MelodyFlow
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# @package __global__

classifier_free_guidance:
  training_dropout: 0.2
  inference_coef: 3.0

attribute_dropout:
  args:
    active_on_eval: false
  text: {}
  wav:
    self_wav: 0.5

fuser:
  cross_attention_pos_emb: false
  cross_attention_pos_emb_scale: 1
  sum: []
  prepend: [self_wav, description]
  cross: []
  input_interpolate: []

conditioners:
  self_wav:
    model: chroma_stem
    chroma_stem:
      sample_rate: ${sample_rate}
      n_chroma: 12
      radix2_exp: 14
      argmax: true
      match_len_on_eval: false
      eval_wavs: null
      n_eval_wavs: 100
      cache_path: null
  description:
    model: t5
    t5:
      name: t5-base
      finetune: false
      word_dropout: 0.2
      normalize_text: false

dataset:
  train:
    merge_text_p: 0.25
    drop_desc_p: 0.5
    drop_other_p: 0.5