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| metadata_root: "./data/dataset/metadata/dataset_root.json" | |
| log_directory: "./log/latent_diffusion" | |
| project: "audioldm" | |
| precision: "high" | |
| variables: | |
| sampling_rate: &sampling_rate 16000 | |
| mel_bins: &mel_bins 64 | |
| latent_embed_dim: &latent_embed_dim 8 | |
| latent_t_size: &latent_t_size 256 # TODO might need to change | |
| latent_f_size: &latent_f_size 16 | |
| in_channels: &unet_in_channels 8 | |
| optimize_ddpm_parameter: &optimize_ddpm_parameter true | |
| optimize_gpt: &optimize_gpt true | |
| warmup_steps: &warmup_steps 2000 | |
| data: | |
| train: ["audiocaps"] | |
| val: "audiocaps" | |
| test: "audiocaps" | |
| class_label_indices: "audioset_eval_subset" | |
| dataloader_add_ons: ["waveform_rs_48k"] | |
| step: | |
| validation_every_n_epochs: 15 | |
| save_checkpoint_every_n_steps: 5000 | |
| # limit_val_batches: 2 | |
| max_steps: 800000 | |
| save_top_k: 1 | |
| preprocessing: | |
| audio: | |
| sampling_rate: | |
| max_wav_value: 32768.0 | |
| duration: 10.24 | |
| stft: | |
| filter_length: 1024 | |
| hop_length: 160 | |
| win_length: 1024 | |
| mel: | |
| n_mel_channels: | |
| mel_fmin: 0 | |
| mel_fmax: 8000 | |
| augmentation: | |
| mixup: 0.0 | |
| model: | |
| base_learning_rate: 8.0e-06 | |
| target: audioldm_train.modules.latent_encoder.autoencoder.AutoencoderKL | |
| params: | |
| # reload_from_ckpt: "data/checkpoints/vae_mel_16k_64bins.ckpt" | |
| sampling_rate: | |
| batchsize: 4 | |
| monitor: val/rec_loss | |
| image_key: fbank | |
| subband: 1 | |
| embed_dim: | |
| time_shuffle: 1 | |
| lossconfig: | |
| target: audioldm_train.losses.LPIPSWithDiscriminator | |
| params: | |
| disc_start: 50001 | |
| kl_weight: 1000.0 | |
| disc_weight: 0.5 | |
| disc_in_channels: 1 | |
| ddconfig: | |
| double_z: true | |
| mel_bins: *mel_bins # The frequency bins of mel spectrogram | |
| z_channels: 8 | |
| resolution: 256 | |
| downsample_time: false | |
| in_channels: 1 | |
| out_ch: 1 | |
| ch: 128 | |
| ch_mult: | |
| - 1 | |
| - 2 | |
| - 4 | |
| num_res_blocks: 2 | |
| attn_resolutions: [] | |
| dropout: 0.0 | |