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2 changes: 1 addition & 1 deletion TensorFlow/LanguageModeling/BERT/optimization.py
Original file line number Diff line number Diff line change
Expand Up @@ -356,7 +356,7 @@ def apply_gradients(self, grads_and_vars, global_step=None, name=None,
# the correct way of using L2 regularization/weight decay with Adam,
# since that will interact with the m and v parameters in strange ways.
#
# Instead we want ot decay the weights in a manner that doesn't interact
# Instead we want to decay the weights in a manner that doesn't interact
# with the m/v parameters. This is equivalent to adding the square
# of the weights to the loss with plain (non-momentum) SGD.
if self._do_use_weight_decay(param_name):
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