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3a9e1a7
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d1ec5e8
Upload deverb_bs_roformer_8_384dim_10depth.yaml
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deverb_bs_roformer_8_384dim_10depth.yaml
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audio:
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chunk_size: 352768
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dim_f: 1024
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dim_t: 801
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hop_length: 441
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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: 0.001
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model:
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dim: 384
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depth: 10
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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: 512
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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: 1
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gradient_accumulation_steps: 1
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grad_clip: 0
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instruments:
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- noreverb
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- reverb
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lr: 5.0e-05
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patience: 2
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reduce_factor: 0.95
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target_instrument: noreverb
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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: false # 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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augmentations:
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enable: true # enable or disable all augmentations (to fast disable if needed)
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loudness: true # randomly change loudness of each stem on the range (loudness_min; loudness_max)
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loudness_min: 0.5
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loudness_max: 1.5
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mixup: false # mix several stems of same type with some probability (only works for dataset types: 1, 2, 3)
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mixup_probs: !!python/tuple # 2 additional stems of the same type (1st with prob 0.2, 2nd with prob 0.02)
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- 0.2
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mixup_loudness_min: 0.5
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mixup_loudness_max: 1.5
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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: 4
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