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config_vocals_mdx23c.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: 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: null
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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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read_metadata_procs: 8 # Number of processes to use during metadata reading for dataset. Can speed up metadata generation
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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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augmentations:
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enable: false # 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: true # 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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- 0.02
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mixup_loudness_min: 0.5
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mixup_loudness_max: 1.5
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# apply mp3 compression to mixture only (emulate downloading mp3 from internet)
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mp3_compression_on_mixture: 0.01
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mp3_compression_on_mixture_bitrate_min: 32
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mp3_compression_on_mixture_bitrate_max: 320
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mp3_compression_on_mixture_backend: "lameenc"
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all:
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channel_shuffle: 0.5 # Set 0 or lower to disable
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random_inverse: 0.1 # inverse track (better lower probability)
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random_polarity: 0.5 # polarity change (multiply waveform to -1)
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mp3_compression: 0.01
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mp3_compression_min_bitrate: 32
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mp3_compression_max_bitrate: 320
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mp3_compression_backend: "lameenc"
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vocals:
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pitch_shift: 0.1
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pitch_shift_min_semitones: -5
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pitch_shift_max_semitones: 5
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seven_band_parametric_eq: 0.25
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seven_band_parametric_eq_min_gain_db: -9
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seven_band_parametric_eq_max_gain_db: 9
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tanh_distortion: 0.1
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tanh_distortion_min: 0.1
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tanh_distortion_max: 0.7
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other:
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pitch_shift: 0.1
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pitch_shift_min_semitones: -4
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pitch_shift_max_semitones: 4
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gaussian_noise: 0.1
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gaussian_noise_min_amplitude: 0.001
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gaussian_noise_max_amplitude: 0.015
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time_stretch: 0.01
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time_stretch_min_rate: 0.8
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time_stretch_max_rate: 1.25
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inference:
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batch_size: 1
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dim_t: 256
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num_overlap: 4
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model_mdx23c_ep_0_sdr_14.6632.ckpt
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:f75a7e9cf05664fd265e14c7225d85c15c6498b98c55a7ddbfd44fbd0ec13841
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size 448103606
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