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Clarify dropout and seed in Tok2Vec

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This commit is contained in:
Matthw Honnibal 2020-07-06 17:50:21 +02:00
parent 19d42f42de
commit 709fc5e4ad
1 changed files with 8 additions and 8 deletions
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16
spacy/ml/models/tok2vec.py
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@ -263,20 +263,20 @@ def build_Tok2Vec_model(
cols = [ID, NORM, PREFIX, SUFFIX, SHAPE, ORTH]
with Model.define_operators({">>": chain, "|": concatenate, "**": clone}):
norm = HashEmbed(
nO=width, nV=embed_size, column=cols.index(NORM), dropout=dropout,
nO=width, nV=embed_size, column=cols.index(NORM), dropout=None,
seed=0
)
if subword_features:
prefix = HashEmbed(
nO=width, nV=embed_size // 2, column=cols.index(PREFIX), dropout=dropout,
nO=width, nV=embed_size // 2, column=cols.index(PREFIX), dropout=None,
seed=1
)
suffix = HashEmbed(
nO=width, nV=embed_size // 2, column=cols.index(SUFFIX), dropout=dropout,
nO=width, nV=embed_size // 2, column=cols.index(SUFFIX), dropout=None,
seed=2
)
shape = HashEmbed(
nO=width, nV=embed_size // 2, column=cols.index(SHAPE), dropout=dropout,
nO=width, nV=embed_size // 2, column=cols.index(SHAPE), dropout=None,
seed=3
)
else:
@ -296,7 +296,7 @@ def build_Tok2Vec_model(
>> Maxout(
nO=width,
nI=width * columns,
nP=maxout_pieces,
nP=3,
dropout=0.0,
normalize=True,
),
@ -309,7 +309,7 @@ def build_Tok2Vec_model(
>> Maxout(
nO=width,
nI=width * columns,
nP=maxout_pieces,
nP=3,
dropout=0.0,
normalize=True,
),
@ -322,7 +322,7 @@ def build_Tok2Vec_model(
>> Maxout(
nO=width,
nI=width * columns,
nP=maxout_pieces,
nP=3,
dropout=0.0,
normalize=True,
),
@ -335,7 +335,7 @@ def build_Tok2Vec_model(
reduce_dimensions = Maxout(
nO=width,
nI=nM * nC + width,
nP=maxout_pieces,
nP=3,
dropout=0.0,
normalize=True,
)