Update config_melbandroformer_big.yaml
Browse files- config_melbandroformer_big.yaml +49 -43
config_melbandroformer_big.yaml
CHANGED
@@ -1,44 +1,50 @@
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audio:
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chunk_size: 485100
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dim_f: 1024
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dim_t: 1101
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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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model:
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dim: 384
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depth: 6
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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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num_bands: 60
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dim_head: 64
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heads: 8
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attn_dropout: 0
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ff_dropout: 0
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flash_attn: True
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dim_freqs_in: 1025
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sample_rate: 44100 # needed for mel filter bank from librosa
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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: 3
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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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num_overlap: 2
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audio:
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chunk_size: 485100
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dim_f: 1024
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dim_t: 1101
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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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model:
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dim: 384
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depth: 6
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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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num_bands: 60
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dim_head: 64
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heads: 8
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attn_dropout: 0
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ff_dropout: 0
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flash_attn: True
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dim_freqs_in: 1025
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sample_rate: 44100 # needed for mel filter bank from librosa
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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: 3
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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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training:
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instruments:
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- vocals
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- other
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target_instrument: vocals
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inference:
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batch_size: 1
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dim_t: 1101
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num_overlap: 2
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