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config_vocals_mdx23c-fork.yaml
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audio:
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chunk_size: 261120
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dim_f: 4096
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dim_t: 256
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hop_length: 1024
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n_fft: 8192
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num_channels: 2
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sample_rate: 44100
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min_mean_abs: 0.001
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model:
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act: gelu
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bottleneck_factor: 4
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growth: 128
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norm: InstanceNorm
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num_blocks_per_scale: 2
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num_channels: 128
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num_scales: 5
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num_subbands: 4
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scale:
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- 2
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- 2
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training:
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batch_size: 6
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gradient_accumulation_steps: 1
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grad_clip: 0
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instruments:
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- vocals
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- other
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lr: 9.0e-05
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patience: 2
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reduce_factor: 0.95
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target_instrument: null
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num_epochs: 1000
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num_steps: 1000
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augmentation: false # enable augmentations by audiomentations and pedalboard
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augmentation_type: simple1
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use_mp3_compress: false # Deprecated
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augmentation_mix: true # Mix several stems of the same type with some probability
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augmentation_loudness: true # randomly change loudness of each stem
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augmentation_loudness_type: 1 # Type 1 or 2
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augmentation_loudness_min: 0.5
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augmentation_loudness_max: 1.5
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q: 0.95
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coarse_loss_clip: true
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ema_momentum: 0.999
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optimizer: adam
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other_fix: true # it's needed for checking on multisong dataset if other is actually instrumental
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use_amp: true
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inference:
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batch_size: 1
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dim_t: 2048
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num_overlap: 4
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model_bs_roformer_ep_317_sdr_12.9755-fork.yaml
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audio:
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chunk_size: 352800
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dim_f: 1024
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dim_t: 801 # don't work (use in model)
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hop_length: 441 # don't work (use in model)
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n_fft: 2048
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num_channels: 2
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sample_rate: 44100
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min_mean_abs: 0.000
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model:
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dim: 512
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depth: 12
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stereo: true
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num_stems: 1
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time_transformer_depth: 1
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freq_transformer_depth: 1
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linear_transformer_depth: 0
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freqs_per_bands: !!python/tuple
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dim_head: 64
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heads: 8
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attn_dropout: 0.1
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ff_dropout: 0.1
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flash_attn: true
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dim_freqs_in: 1025
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stft_n_fft: 2048
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stft_hop_length: 441
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stft_win_length: 2048
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stft_normalized: false
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mask_estimator_depth: 2
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multi_stft_resolution_loss_weight: 1.0
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multi_stft_resolutions_window_sizes: !!python/tuple
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multi_stft_hop_size: 147
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multi_stft_normalized: False
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training:
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batch_size: 2
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gradient_accumulation_steps: 1
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grad_clip: 0
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instruments:
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- vocals
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- other
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lr: 1.0e-05
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patience: 2
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reduce_factor: 0.95
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target_instrument: vocals
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num_epochs: 1000
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num_steps: 1000
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q: 0.95
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coarse_loss_clip: true
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ema_momentum: 0.999
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optimizer: adam
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other_fix: true # it's needed for checking on multisong dataset if other is actually instrumental
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use_amp: true # enable or disable usage of mixed precision (float16) - usually it must be true
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inference:
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batch_size: 4
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dim_t: 1101
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num_overlap: 2
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