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  1. BS-Roformer_LargeV1.ckpt +3 -0
  2. config_bsrofoL.yaml +180 -0
BS-Roformer_LargeV1.ckpt ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:3d1334565bb9e4c08f4b3891d5ac39e269b511baf66024a3fd8a10112d52b945
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+ size 740263433
config_bsrofoL.yaml ADDED
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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
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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: 0.000
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+
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+ model:
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+ dim: 512
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+ depth: 16
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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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+ - 2
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+ - 2
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+ - 2
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+ - 2
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+ - 2
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+ - 2
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+ - 2
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+ - 2
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+ - 2
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+ - 2
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+ - 2
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+ - 2
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+ - 2
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+ - 2
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+ - 2
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+ - 2
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+ - 2
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+ - 2
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+ - 2
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+ - 2
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+ - 2
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+ - 2
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+ - 2
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+ - 2
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+ - 4
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+ - 4
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+ - 4
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+ - 4
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+ - 4
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+ - 4
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+ - 4
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+ - 4
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+ - 4
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+ - 4
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+ - 4
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+ - 4
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+ - 12
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+ - 12
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+ - 12
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+ - 12
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+ - 12
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+ - 12
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+ - 12
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+ - 12
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+ - 24
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+ - 24
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+ - 24
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+ - 24
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+ - 24
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+ - 48
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+ - 48
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+ - 48
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+ - 48
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+ - 48
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+ - 48
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+ - 48
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+ - 48
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+ - 128
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+ - 129
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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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+ - 4096
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+ - 2048
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+ - 1024
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+ - 512
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+ - 256
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+ multi_stft_hop_size: 147
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+ multi_stft_normalized: False
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+
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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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+ - vocals
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+ - other
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+ lr: 2.0e-07
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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: 5000
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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: adamw8bit
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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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+
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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:
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+ !!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: 0.25
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+ mixup_loudness_max: 1.75
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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: 0.05
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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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+
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+
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+ # pedalboard resample block
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+ pedalboard_resample: 0.001
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+ pedalboard_resample_target_sample_rate_min: 4000
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+ pedalboard_resample_target_sample_rate_max: 44100
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+
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+ # pedalboard mp3 compressor block
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+ pedalboard_mp3_compressor: 0.005
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+ pedalboard_mp3_compressor_pedalboard_mp3_compressor_min: 0
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+ pedalboard_mp3_compressor_pedalboard_mp3_compressor_max: 9.999
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+
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+ vocals:
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+ pitch_shift: 0.25
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+ pitch_shift_min_semitones: -7
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+ pitch_shift_max_semitones: 7
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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: 0.01
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+ tanh_distortion_min: 0.1
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+ tanh_distortion_max: 0.7
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+ pedalboard_reverb: 0.01
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+ pedalboard_reverb_room_size_min: 0.1
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+ pedalboard_reverb_room_size_max: 0.9
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+ pedalboard_reverb_damping_min: 0.1
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+ pedalboard_reverb_damping_max: 0.9
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+ pedalboard_reverb_wet_level_min: 0.1
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+ pedalboard_reverb_wet_level_max: 0.9
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+ pedalboard_reverb_dry_level_min: 0.1
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+ pedalboard_reverb_dry_level_max: 0.9
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+ pedalboard_reverb_width_min: 0.9
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+ pedalboard_reverb_width_max: 1.0
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+
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+ inference:
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+ batch_size: 2
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+ dim_t: 1101
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+ num_overlap: 2