File size: 1,991 Bytes
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chunk_size: 384000
dim_f: 1024
dim_t: 801 # don't work (use in model)
hop_length: 441 # don't work (use in model)
n_fft: 2048
num_channels: 1
sample_rate: 44100
min_mean_abs: 0.000
model:
dim: 128
depth: 16
stereo: false
num_stems: 1
time_transformer_depth: 1
freq_transformer_depth: 1
linear_transformer_depth: 0
freqs_per_bands: !!python/tuple
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dim_head: 16
heads: 8
attn_dropout: 0.0
ff_dropout: 0.0
flash_attn: true
dim_freqs_in: 1025
stft_n_fft: 2048
stft_hop_length: 512
stft_win_length: 2048
stft_normalized: False
mask_estimator_depth: 3
multi_stft_resolution_loss_weight: 1.0
multi_stft_resolutions_window_sizes: !!python/tuple
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multi_stft_hop_size: 147
multi_stft_normalized: False
mlp_expansion_factor: 4
use_torch_checkpoint: True
skip_connection: False
training:
batch_size: 4
gradient_accumulation_steps: 1
grad_clip: 1000.0
instruments: ['noreverb', 'reverb']
lr: 5.0e-5
patience: 5
reduce_factor: 0.75
target_instrument: noreverb
num_epochs: 1000
num_steps: 1000
q: 0.95
coarse_loss_clip: true
ema_momentum: 0.999
optimizer: adam
other_fix: False # it's needed for checking on multisong dataset if other is actually instrumental
use_amp: true # enable or disable usage of mixed precision (float16) - usually it must be true
inference:
batch_size: 1
dim_t: 871
num_overlap: 2
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