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Shortening some print statements

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This commit is contained in:
Josh Meyer 2021-07-21 09:37:32 -04:00
parent 6da7b5fc26
commit 90ce16fa15
1 changed files with 9 additions and 6 deletions
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15
training/coqui_stt_training/util/config.py
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@ -43,9 +43,11 @@ class _SttConfig(Coqpit):
print(f"Parsed augmentations: {self.augmentations}") print(f"Parsed augmentations: {self.augmentations}")
if self.augmentations and self.feature_cache and self.cache_for_epochs == 0: if self.augmentations and self.feature_cache and self.cache_for_epochs == 0:
print( print(
"Due to current feature-cache settings the exact same sample augmentations of the first " "Due to your feature-cache settings, augmentations of "
"epoch will be repeated on all following epochs. This could lead to unintended over-fitting. " "the first epoch will be repeated on all following epochs. "
"You could use --cache_for_epochs <n_epochs> to invalidate the cache after a given number of epochs." "This may lead to unintended over-fitting. "
"You can use --cache_for_epochs <n_epochs> to invalidate "
"the cache after a given number of epochs."
) )
if self.normalize_sample_rate: if self.normalize_sample_rate:
@ -56,8 +58,9 @@ class _SttConfig(Coqpit):
# Caching # Caching
if self.cache_for_epochs == 1: if self.cache_for_epochs == 1:
print( print(
"--cache_for_epochs == 1 is (re-)creating the feature cache on every epoch but will never use it." "--cache_for_epochs == 1 is (re-)creating the feature cache "
"You can either set --cache_for_epochs > 1, or not use feature caching at all." "on every epoch but will never use it. You can either set "
"--cache_for_epochs > 1, or not use feature caching at all."
) )
# Read-buffer # Read-buffer
@ -200,7 +203,7 @@ class _SttConfig(Coqpit):
train_files: List[str] = field( train_files: List[str] = field(
default_factory=list, default_factory=list,
metadata=dict( metadata=dict(
help="space-separated list of files specifying the dataset used for training. Multiple files will get merged. If empty, training will not be run." help="space-separated list of files specifying the datasets used for training. Multiple files will get merged. If empty, training will not be run."
), ),
) )
dev_files: List[str] = field( dev_files: List[str] = field(