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Kikirilkov
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3b96c34
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Parent(s):
97f62f8
Update TTS/vocoder/configs/shared_configs.py
Browse files
TTS/vocoder/configs/shared_configs.py
CHANGED
@@ -50,7 +50,7 @@ class BaseVocoderConfig(BaseTrainingConfig):
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conv_pad: int = 0 # additional padding against convolutions applied to spectrograms
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use_cache: bool = False # use in memory cache to keep the computed features. This might cause OOM.
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# OPTIMIZER
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epochs: int =
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wd: float = 0.0 # Weight decay weight.
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optimizer: str = "AdamW"
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optimizer_params: dict = field(default_factory=lambda: {"betas": [0.8, 0.99], "weight_decay": 0.0})
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@@ -90,7 +90,7 @@ class BaseGANVocoderConfig(BaseVocoderConfig):
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Parameters for the L1 spectrogram loss. Defaults to
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`{
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"use_mel": True,
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"sample_rate":
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"n_fft": 1024,
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"hop_length": 256,
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"win_length": 1024,
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@@ -155,7 +155,7 @@ class BaseGANVocoderConfig(BaseVocoderConfig):
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l1_spec_loss_params: dict = field(
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default_factory=lambda: {
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"use_mel": True,
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"sample_rate":
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"n_fft": 1024,
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"hop_length": 256,
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"win_length": 1024,
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conv_pad: int = 0 # additional padding against convolutions applied to spectrograms
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use_cache: bool = False # use in memory cache to keep the computed features. This might cause OOM.
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# OPTIMIZER
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epochs: int = 10000 # total number of epochs to train.
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wd: float = 0.0 # Weight decay weight.
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optimizer: str = "AdamW"
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optimizer_params: dict = field(default_factory=lambda: {"betas": [0.8, 0.99], "weight_decay": 0.0})
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Parameters for the L1 spectrogram loss. Defaults to
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`{
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"use_mel": True,
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"sample_rate": 22050,
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"n_fft": 1024,
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"hop_length": 256,
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"win_length": 1024,
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l1_spec_loss_params: dict = field(
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default_factory=lambda: {
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"use_mel": True,
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"sample_rate": 22050,
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"n_fft": 1024,
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"hop_length": 256,
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"win_length": 1024,
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