batch_by_words by default
@@ -307,7 +307,7 @@ def create_train_batches(nlp, corpus, cfg):
if len(train_examples) == 0:
raise ValueError(Errors.E988)
epoch += 1
- if cfg.get("batch_by_words"):
+ if cfg.get("batch_by_words", True):
batches = util.minibatch_by_words(
train_examples,
size=cfg["batch_size"],
