Improve logging message in the single sentence classification processor

This commit is contained in:
Simone Primarosa 2019-12-29 13:41:46 +01:00 committed by Lysandre Debut
parent bf8d4bc674
commit bf89be77b9

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@ -253,7 +253,7 @@ class SingleSentenceClassificationProcessor(DataProcessor):
features = []
for (ex_index, (input_ids, example)) in enumerate(zip(all_input_ids, self.examples)):
if ex_index % 10000 == 0:
logger.info("Writing example %d", ex_index)
logger.info("Writing example %d/%d" % (ex_index, len(examples)))
# The mask has 1 for real tokens and 0 for padding tokens. Only real
# tokens are attended to.
attention_mask = [1 if mask_padding_with_zero else 0] * len(input_ids)