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valid_world.epoch_done() in train_model.py never finishes

See original GitHub issue

I checked a memory networks model with babi dataset. But I found valid_world.epoch_done never finishes. https://github.com/facebookresearch/ParlAI/blob/master/examples/train_model.py#L91

My revision 55ca9c (Jan 11, 2018)
the log

$ python examples/train_model.py -t dialog_babi:Task:1 -m memnn -mf /tmp/model_memnn  -e 1
...
[ time:68s parleys:5873 time_left:1s num_epochs:0 ] {'total': 204, 'accuracy': 0.09804, 'f1': 0.1517, 'hits@k': {1: 0.098, 5: 0.333, 10: 0.725, 100: 1.0}}
[ time:69s parleys:6024 time_left:0s num_epochs:1 ] {'total': 151, 'accuracy': 0.1192, 'f1': 0.1749, 'hits@k': {1: 0.119, 5: 0.377, 10: 0.695, 100: 1.0}}
[ num_epochs completed:1.0 time elapsed:69.75176429748535s ]
[ running eval: valid ]
[creating task(s): dialog_babi:Task:1]
[loading fbdialog data:/home/jonki/work/ParlAI/data/dialog-bAbI/dialog-bAbI-tasks/dialog-babi-task1-API-calls-dev.txt]
// never breaks while-loop