fairseq/examples/emotion_conversion/emotion_models/duration_predictor.yaml

train_tsv: "<your-processed-data>/denoising/emov/train.tsv" 
train_km:  "<your-processed-data>/denoising/emov/train.km" 
valid_tsv: "<your-processed-data>/denoising/emov/valid.tsv" 
valid_km:  "<your-processed-data>/denoising/emov/valid.km"

n_tokens: 200
batch_size: 32
lr: 0.0001
epochs: 300
model: "cnn"
substring: ""

rnn:
  _target_: emotion_models.duration_predictor.RnnPredictor
  n_tokens: ${n_tokens}
  emb_dim: 128
  rnn_hidden: 128
  output_dim: 1
  dropout: 0
  n_layers: 1

optimizer:
  _target_: torch.optim.Adam
  lr: ${lr}
  betas: [0.9, 0.98]
  eps: 0.000000001
  weight_decay: 0

cnn:
  _target_: emotion_models.duration_predictor.CnnPredictor
  n_tokens: ${n_tokens}
  emb_dim: 128
  channels: 256
  kernel: 3
  output_dim: 1
  dropout: 0.5
  n_layers: 1

hydra:
  run:
    dir: /checkpoint/felixkreuk/experiments/duration_predictor/${hydra.job.override_dirname}
  job:
    config:
      # configuration for the ${hydra.job.override_dirname} runtime variable
      override_dirname:
        kv_sep: '='
        item_sep: ','
        exclude_keys: ['train_tsv', 'train_km', 'valid_tsv', 'valid_km']