Fixed default values in label smoothing.
@@ -56,7 +56,7 @@ train:
auto_correct: False # True: allows for trainer to adjust certain setting, False: throws exception
1toN:
- # Amount of label smoothing (disabled when <0). Disencourages models to
+ # Amount of label smoothing (disabled when 0). Disencourages models to
# perform extreme predictions (0 or 1).
#
# Technically, reduces all labels by fraction given by this value and
@@ -65,7 +65,7 @@ train:
#
# This form of label smoothing was used by ConvE
# ( https://github.com/TimDettmers/ConvE/blob/853d7010a4b569c3d24c9e6eeaf9dc3535d78832/main.py#L156) with a default value of 0.1.
- label_smoothing: -1.0
+ label_smoothing: 0.0
negative_sampling:
sampling_type: uniform
