Delete deverb_bs_roformer_256dim_6depth.yaml

deverb_bs_roformer_256dim_6depth.yaml

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-audio:
-  chunk_size: 352800
-  dim_f: 1024
-  dim_t: 801
-  hop_length: 441
-  n_fft: 2048
-  num_channels: 2
-  sample_rate: 44100
-  min_mean_abs: 0.001
-
-model:
-  dim: 256
-  depth: 6
-  stereo: true
-  num_stems: 1
-  time_transformer_depth: 1
-  freq_transformer_depth: 1
-  linear_transformer_depth: 0
-  freqs_per_bands: !!python/tuple
-    - 2
-    - 2
-    - 2
-    - 2
-    - 2
-    - 2
-    - 2
-    - 2
-    - 2
-    - 2
-    - 2
-    - 2
-    - 2
-    - 2
-    - 2
-    - 2
-    - 2
-    - 2
-    - 2
-    - 2
-    - 2
-    - 2
-    - 2
-    - 2
-    - 4
-    - 4
-    - 4
-    - 4
-    - 4
-    - 4
-    - 4
-    - 4
-    - 4
-    - 4
-    - 4
-    - 4
-    - 12
-    - 12
-    - 12
-    - 12
-    - 12
-    - 12
-    - 12
-    - 12
-    - 24
-    - 24
-    - 24
-    - 24
-    - 24
-    - 24
-    - 24
-    - 24
-    - 48
-    - 48
-    - 48
-    - 48
-    - 48
-    - 48
-    - 48
-    - 48
-    - 128
-    - 129
-  dim_head: 64
-  heads: 8
-  attn_dropout: 0.1
-  ff_dropout: 0.1
-  flash_attn: true
-  dim_freqs_in: 1025
-  stft_n_fft: 2048
-  stft_hop_length: 441
-  stft_win_length: 2048
-  stft_normalized: false
-  mask_estimator_depth: 2
-  multi_stft_resolution_loss_weight: 1.0
-  multi_stft_resolutions_window_sizes: !!python/tuple
-  - 4096
-  - 2048
-  - 1024
-  - 512
-  - 256
-  multi_stft_hop_size: 147
-  multi_stft_normalized: False
-
-training:
-  batch_size: 2
-  gradient_accumulation_steps: 1
-  grad_clip: 0
-  instruments:
-  - noreverb
-  - reverb
-  lr: 5.0e-05
-  patience: 2
-  reduce_factor: 0.95
-  target_instrument: noreverb
-  num_epochs: 1000
-  num_steps: 1000
-  q: 0.95
-  coarse_loss_clip: true
-  ema_momentum: 0.999
-  optimizer: adamw
-  other_fix: false # it's needed for checking on multisong dataset if other is actually instrumental
-  use_amp: true # enable or disable usage of mixed precision (float16) - usually it must be true
-
-augmentations:
-  enable: true # enable or disable all augmentations (to fast disable if needed)
-  loudness: true # randomly change loudness of each stem on the range (loudness_min; loudness_max)
-  loudness_min: 0.1
-  loudness_max: 1.0
-  mixup: false # mix several stems of same type with some probability (only works for dataset types: 1, 2, 3)
-  mixup_probs: !!python/tuple # 2 additional stems of the same type (1st with prob 0.2, 2nd with prob 0.02)
-    - 0.2
-    - 0.02
-  mixup_loudness_min: 0.5
-  mixup_loudness_max: 1.5
-
-inference:
-  batch_size: 6
-  dim_t: 801
-  num_overlap: 4