synthetic_2016_k_77_d_10_1_b.yaml

# ---------------------------------------
# Settings for the experiments with the
# TUT SED Real Life 2017 dataset.
#
# author: Konstantinos Drossos,
#         Tampere University
# ---------------------------------------
#
# Settings for the data loading
data_loader:
  batch_size: 16
  shuffle: Yes
  drop_last: Yes
  root_dir: 'data'
  input_features_file_name: 'features_normalized.npy'
  target_values_input_name: 'target_values.npy'
#
# Settings for the optimizer
optimizer:
  lr: !!float 1e-3
#
# Settings for the training process
training:
  epochs: 300
  validation_patience: 30
  grad_norm: -1
#
# Settings for the SED models
baseline: &crnn_settings
  cnn_channels: 256
  cnn_dropout: .25
  rnn_in_dim: 256
  rnn_out_dim: 256
  nb_classes: 16
baseline_dilated: &dilated_settings
  cnn_channels: 256
  cnn_dropout: .25
  dilated_output_channels: 256
  dilated_kernel_size:
    - 7 # time dimension
    - 7 # feature dimension
  dilated_stride:
    - 1 # time dimension
    - 3 # feature dimension
  dilated_padding:
    - 30 # time dimension
    - 0 # feature dimension
  dilation_shape:
    - 10 # time dimension
    - 1 # feature dimension
  dilated_nb_features: 84
  nb_classes: 16
  inner_kernel_size: 3
  inner_padding: 1
dessed: *crnn_settings
dessed_dilated: *dilated_settings
# EOF