anvuew commited on
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Files changed (2) hide show
  1. bs_roformer_anvuew_sdr_12.45.ckpt +3 -0
  2. config.yaml +129 -0
bs_roformer_anvuew_sdr_12.45.ckpt ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:8d0f72ad0ac4154f5f4c3cdf230880bbb9a5bd01dc610241a2abfe787f0d7784
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+ size 204485563
config.yaml ADDED
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+ audio:
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+ chunk_size: 960000
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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: 0.0001
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+
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+ model:
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+ dim: 256
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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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+ - 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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+ - 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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+ - 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: 0.0
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+ ff_dropout: 0.0
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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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+ - 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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+ mlp_expansion_factor: 4
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+ use_torch_checkpoint: True
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+ skip_connection: False
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+
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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: ['vocals', 'instrument']
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+ lr: 1.0e-5
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+ patience: 5
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+ reduce_factor: 0.9
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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: 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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+
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+
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+ inference:
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+ batch_size: 2
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+ dim_t: 1876
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+ num_overlap: 4