.

Bandit_models/checkpoint-multi_fixed.ckpt

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
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-size 149133378

Bandit_models/config_dnr_bandit_bsrnn_multi_mus64.yaml

@@ -1,78 +0,0 @@
-name: "MultiMaskMultiSourceBandSplitRNN"
-audio:
-  chunk_size: 264600
-  num_channels: 2
-  sample_rate: 44100
-  min_mean_abs: 0.001
-
-model:
-  in_channel: 1
-  stems: ['speech', 'music', 'effects']
-  band_specs: "musical"
-  n_bands: 64
-  fs: 44100
-  require_no_overlap: false
-  require_no_gap: true
-  normalize_channel_independently: false
-  treat_channel_as_feature: true
-  n_sqm_modules: 8
-  emb_dim: 128
-  rnn_dim: 256
-  bidirectional: true
-  rnn_type: "GRU"
-  mlp_dim: 512
-  hidden_activation: "Tanh"
-  hidden_activation_kwargs: null
-  complex_mask: true
-  n_fft: 2048
-  win_length: 2048
-  hop_length: 512
-  window_fn: "hann_window"
-  wkwargs: null
-  power: null
-  center: true
-  normalized: true
-  pad_mode: "constant"
-  onesided: true
-
-training:
-  batch_size: 4
-  gradient_accumulation_steps: 4
-  grad_clip: 0
-  instruments:
-  - Speech
-  - Music
-  - Effects
-  lr: 9.0e-05
-  patience: 2
-  reduce_factor: 0.95
-  target_instrument: null
-  num_epochs: 1000
-  num_steps: 1000
-  q: 0.95
-  coarse_loss_clip: true
-  ema_momentum: 0.999
-  optimizer: adam
-  other_fix: true # 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: 0.5
-  loudness_max: 1.5
-  mixup: true # 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
-  all:
-    channel_shuffle: 0.5 # Set 0 or lower to disable
-    random_inverse: 0.1 # inverse track (better lower probability)
-    random_polarity: 0.5 # polarity change (multiply waveform to -1)
-
-inference:
-  batch_size: 1
-  dim_t: 256
-  num_overlap: 4

Bandit_models/config_dnr_bandit_v2_mus64.yaml

@@ -1,78 +0,0 @@
-cls: Bandit
-
-audio:
-  chunk_size: 384000
-  num_channels: 2
-  sample_rate: 48000
-  min_mean_abs: 0.000
-
-kwargs:
-  in_channels: 1
-  stems: ['speech', 'music', 'sfx']
-  band_type: musical
-  n_bands: 64
-  normalize_channel_independently: false
-  treat_channel_as_feature: true
-  n_sqm_modules: 8
-  emb_dim: 128
-  rnn_dim: 256
-  bidirectional: true
-  rnn_type: "GRU"
-  mlp_dim: 512
-  hidden_activation: "Tanh"
-  hidden_activation_kwargs:
-  complex_mask: true
-  use_freq_weights: true
-  n_fft: 2048
-  win_length: 2048
-  hop_length: 512
-  window_fn: "hann_window"
-  wkwargs:
-  power:
-  center: true
-  normalized: true
-  pad_mode: "reflect"
-  onesided: true
-
-training:
-  batch_size: 4
-  gradient_accumulation_steps: 4
-  grad_clip: 0
-  instruments:
-  - Speech
-  - Music
-  - Sfx
-  lr: 9.0e-05
-  patience: 2
-  reduce_factor: 0.95
-  target_instrument:
-  num_epochs: 1000
-  num_steps: 1000
-  q: 0.95
-  coarse_loss_clip: true
-  ema_momentum: 0.999
-  optimizer: adam
-  other_fix: true # 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: 0.5
-  loudness_max: 1.5
-  mixup: true # 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
-  all:
-    channel_shuffle: 0.5 # Set 0 or lower to disable
-    random_inverse: 0.1 # inverse track (better lower probability)
-    random_polarity: 0.5 # polarity change (multiply waveform to -1)
-
-inference:
-  batch_size: 8
-  dim_t: 256
-  num_overlap: 4

Bandit_models/model_bandit_plus_dnr_sdr_11.47.ckpt

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-version https://git-lfs.github.com/spec/v1
-oid sha256:c48284779f7d1258a6527d3aaa18a532d45c1f506e2dcc25d5ab179a8c5e2573
-size 148891175