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- config_aoede.yml +107 -0
- epoch_1st_00000.pth +3 -0
- epoch_1st_00010.pth +3 -0
- epoch_1st_00012.pth +3 -0
- epoch_1st_00014.pth +3 -0
- epoch_1st_00016.pth +3 -0
- epoch_1st_00018.pth +3 -0
- epoch_1st_00020.pth +3 -0
- epoch_1st_00022.pth +3 -0
- epoch_1st_00024.pth +3 -0
- epoch_1st_00026.pth +3 -0
- epoch_1st_00028.pth +3 -0
- epoch_1st_00030.pth +3 -0
- epoch_1st_00032.pth +3 -0
- epoch_1st_00034.pth +3 -0
- epoch_1st_00036.pth +3 -0
- epoch_1st_00038.pth +3 -0
- epoch_1st_00040.pth +3 -0
- epoch_1st_00042.pth +3 -0
- epoch_1st_00044.pth +3 -0
- epoch_1st_00046.pth +3 -0
- epoch_1st_00048.pth +3 -0
- epoch_1st_00050.pth +3 -0
- epoch_1st_00052.pth +3 -0
- epoch_1st_00054.pth +3 -0
- epoch_1st_00056.pth +3 -0
- epoch_1st_00058.pth +3 -0
- epoch_1st_00060.pth +3 -0
- epoch_1st_00062.pth +3 -0
- epoch_1st_00064.pth +3 -0
- epoch_1st_00066.pth +3 -0
- epoch_1st_00068.pth +3 -0
- epoch_1st_00070.pth +3 -0
- epoch_1st_00072.pth +3 -0
- epoch_1st_00074.pth +3 -0
- epoch_1st_00076.pth +3 -0
- epoch_1st_00078.pth +3 -0
- epoch_1st_00080.pth +3 -0
- epoch_1st_00082.pth +3 -0
- epoch_1st_00084.pth +3 -0
- epoch_1st_00086.pth +3 -0
- epoch_1st_00088.pth +3 -0
- epoch_1st_00090.pth +3 -0
- epoch_1st_00092.pth +3 -0
- epoch_1st_00094.pth +3 -0
- epoch_1st_00096.pth +3 -0
- epoch_1st_00098.pth +3 -0
- first_stage.pth +3 -0
- tensorboard/events.out.tfevents.1744781710.d443b59828f7.6380.0 +3 -0
- tensorboard/events.out.tfevents.1744785467.d443b59828f7.8437.0 +3 -0
config_aoede.yml
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log_dir: "Models/aoede"
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first_stage_path: "first_stage.pth"
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save_freq: 2
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log_interval: 10
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device: "cuda"
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epochs_1st: 100
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epochs_2nd: 50
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batch_size: 4
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max_len: 300
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pretrained_model: "Models/aoede/epoch_1st_00014.pth"
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second_stage_load_pretrained: true
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load_only_params: false # ✅ Needed to resume full training
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F0_path: "Utils/JDC/bst.t7"
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ASR_config: "Utils/ASR/config.yml"
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ASR_path: "Utils/ASR/epoch_00080.pth"
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PLBERT_dir: "Utils/PLBERT/"
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data_params:
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train_data: "aoede_dataset/metadata.csv"
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val_data: "aoede_dataset/metadata.csv"
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root_path: "aoede_dataset/wavs"
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OOD_data: "Data/OOD_texts.txt"
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min_length: 50
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preprocess_params:
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sr: 24000
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spect_params:
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n_fft: 2048
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win_length: 1200
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hop_length: 300
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model_params:
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multispeaker: false
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dim_in: 64
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hidden_dim: 512
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max_conv_dim: 512
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n_layer: 3
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n_mels: 80
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n_token: 178
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max_dur: 50
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style_dim: 128
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dropout: 0.1
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decoder:
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type: "istftnet"
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gen_istft_hop_size: 5
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gen_istft_n_fft: 20
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resblock_kernel_sizes: [3, 7, 11]
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upsample_rates: [10, 6]
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upsample_initial_channel: 512
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resblock_dilation_sizes: [[1, 3, 5], [1, 3, 5], [1, 3, 5]]
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upsample_kernel_sizes: [20, 12]
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slm:
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model: "microsoft/wavlm-base-plus"
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sr: 16000
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hidden: 768
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nlayers: 13
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initial_channel: 64
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diffusion:
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embedding_mask_proba: 0.1
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transformer:
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num_layers: 3
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num_heads: 8
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head_features: 64
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multiplier: 2
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dist:
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sigma_data: 0.2
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estimate_sigma_data: true
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mean: -3.0
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std: 1.0
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loss_params:
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lambda_mel: 5.0
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lambda_gen: 1.0
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lambda_slm: 1.0
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lambda_mono: 1.0
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lambda_s2s: 1.0
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TMA_epoch: 15
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lambda_F0: 1.0
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lambda_norm: 1.0
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lambda_dur: 1.0
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lambda_ce: 20.0
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lambda_sty: 1.0
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lambda_diff: 1.0
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diff_epoch: 10
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joint_epoch: 30
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optimizer_params:
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lr: 0.0001
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bert_lr: 0.00001
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ft_lr: 0.00001
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slmadv_params:
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min_len: 400
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max_len: 600
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batch_percentage: 0.5
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iter: 10
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thresh: 5
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scale: 0.01
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sig: 1.5
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epoch_1st_00000.pth
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version https://git-lfs.github.com/spec/v1
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size 1331103917
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epoch_1st_00010.pth
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version https://git-lfs.github.com/spec/v1
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epoch_1st_00012.pth
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epoch_1st_00014.pth
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epoch_1st_00016.pth
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epoch_1st_00018.pth
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epoch_1st_00020.pth
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epoch_1st_00022.pth
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epoch_1st_00024.pth
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epoch_1st_00026.pth
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epoch_1st_00028.pth
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epoch_1st_00030.pth
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epoch_1st_00032.pth
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epoch_1st_00034.pth
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epoch_1st_00036.pth
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epoch_1st_00038.pth
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epoch_1st_00040.pth
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epoch_1st_00042.pth
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epoch_1st_00044.pth
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epoch_1st_00046.pth
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epoch_1st_00048.pth
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epoch_1st_00050.pth
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epoch_1st_00052.pth
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epoch_1st_00054.pth
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epoch_1st_00056.pth
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epoch_1st_00058.pth
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epoch_1st_00060.pth
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epoch_1st_00062.pth
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epoch_1st_00064.pth
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epoch_1st_00066.pth
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