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Set accelerating batch size in CONLL train script

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This commit is contained in:
Matthew Honnibal 2018-02-21 21:02:41 +01:00
parent 661873ee4c
commit 6a27a4f77c
1 changed files with 6 additions and 1 deletions
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7
examples/training/conllu.py
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@ -218,13 +218,18 @@ def main(spacy_model, conllu_train_loc, text_train_loc, conllu_dev_loc, text_dev
n_train_words = sum(len(doc) for doc in docs)
print(n_train_words)
print("Begin training")
# Batch size starts at 1 and grows, so that we make updates quickly
# at the beginning of training.
batch_sizes = spacy.util.compounding(spacy.util.env_opt('batch_from', 1),
spacy.util.env_opt('batch_to', 8),
spacy.util.env_opt('batch_compound', 1.001))
for i in range(10):
with open(text_train_loc) as file_:
docs = get_docs(nlp, file_.read())
docs = docs[:len(golds)]
with tqdm.tqdm(total=n_train_words, leave=False) as pbar:
losses = {}
for batch in minibatch(list(zip(docs, golds)), size=1):
for batch in minibatch(list(zip(docs, golds)), size=batch_sizes):
if not batch:
continue
batch_docs, batch_gold = zip(*batch)