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| audio: | |
| chunk_size: 485100 | |
| dim_f: 1024 | |
| dim_t: 256 | |
| hop_length: 441 | |
| n_fft: 2048 | |
| num_channels: 2 | |
| sample_rate: 44100 | |
| min_mean_abs: 0.000 | |
| model: | |
| dim: 256 | |
| depth: 4 | |
| stereo: true | |
| num_stems: 1 | |
| time_transformer_depth: 1 | |
| freq_transformer_depth: 1 | |
| num_bands: 60 | |
| dim_head: 64 | |
| heads: 8 | |
| attn_dropout: 0 | |
| ff_dropout: 0 | |
| flash_attn: true | |
| dim_freqs_in: 1025 | |
| sample_rate: 44100 # needed for mel filter bank from librosa | |
| stft_n_fft: 2048 | |
| stft_hop_length: 441 | |
| stft_win_length: 2048 | |
| stft_normalized: false | |
| mask_estimator_depth: 2 | |
| multi_stft_resolution_loss_weight: 1.0 | |
| multi_stft_resolutions_window_sizes: !!python/tuple | |
| - 4096 | |
| - 2048 | |
| - 1024 | |
| - 512 | |
| - 256 | |
| multi_stft_hop_size: 147 | |
| multi_stft_normalized: false | |
| mlp_expansion_factor: 1 | |
| training: | |
| batch_size: 1 | |
| gradient_accumulation_steps: 1 | |
| grad_clip: 1.0 | |
| instruments: | |
| - Guitar | |
| - Other | |
| lr: 1.0 | |
| patience: 1000 | |
| reduce_factor: 0.95 | |
| target_instrument: Guitar | |
| num_epochs: 1000 | |
| num_steps: 1000 | |
| q: 0.95 | |
| coarse_loss_clip: false | |
| ema_momentum: 0.999 | |
| optimizer: prodigy | |
| 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: 1101 | |
| num_overlap: 2 | |