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Fix tagger training when some tags are missing

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This commit is contained in:
Matthew Honnibal 2020-09-12 16:05:26 +02:00
parent 62eec33bc4
commit 164d90878e
1 changed files with 8 additions and 1 deletions
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9
spacy/pipeline/tagger.pyx
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@ -192,6 +192,9 @@ class Tagger(Pipe):
if not any(len(eg.predicted) if eg.predicted else 0 for eg in examples):
# Handle cases where there are no tokens in any docs.
return
if not any(eg.reference.is_tagged for eg in examples):
# Handle cases where there are no tagged tokens in any docs.
return
set_dropout_rate(self.model, drop)
tag_scores, bp_tag_scores = self.model.begin_update([eg.predicted for eg in examples])
for sc in tag_scores:
@ -251,7 +254,11 @@ class Tagger(Pipe):
DOCS: https://nightly.spacy.io/api/tagger#get_loss
"""
validate_examples(examples, "Tagger.get_loss")
loss_func = SequenceCategoricalCrossentropy(names=self.labels, normalize=False)
loss_func = SequenceCategoricalCrossentropy(
names=self.label,
normalize=False,
missing_value=""
)
truths = [eg.get_aligned("TAG", as_string=True) for eg in examples]
d_scores, loss = loss_func(scores, truths)
if self.model.ops.xp.isnan(loss):