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Clarify early stopping dependency on validation

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Reuben Morais 2019-04-04 18:35:35 -03:00
parent d70753cc0f
commit 5ee856d075
1 changed files with 1 additions and 1 deletions
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util/flags.py
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@ -94,7 +94,7 @@ def create_flags():
# Early Stopping
tf.app.flags.DEFINE_boolean ('early_stop', True, 'enable early stopping mechanism over validation dataset')
tf.app.flags.DEFINE_boolean ('early_stop', True, 'enable early stopping mechanism over validation dataset. If validation is not being run, early stopping is disabled.')
tf.app.flags.DEFINE_integer ('es_steps', 4, 'number of validations to consider for early stopping. Loss is not stored in the checkpoint so when checkpoint is revived it starts the loss calculation from start at that point')
tf.app.flags.DEFINE_float ('es_mean_th', 0.5, 'mean threshold for loss to determine the condition if early stopping is required')
tf.app.flags.DEFINE_float ('es_std_th', 0.5, 'standard deviation threshold for loss to determine the condition if early stopping is required')