UnboundLocalError: local variable 'path' referenced before assignment

[arisagithub]

Hello,
i have a dataset with 1572 sentences and 13 classes. i try to train this data.
here is output and error:
INFO:root:The maximum length of all sentences: 40
INFe O:root:x_train: 1271, x_dev: 142, x_test: 158
INFO:root:y_train: 1271, y_dev: 142, y_test: 158
Traceback (most recent call last):
File "train.py", line 136, in
train_cnn()
File "train.py", line 131, in train_cnn
logging.critical('Accuracy on test set is {} based on the best model {}'.format(test_accuracy, path))
UnboundLocalError: local variable 'path' referenced before assignment.

[jiegzhan]

"evaluate_every": 200

Your training dataset is quite small. Try a small "evaluate_every" number such as 2? or 4?

[arisagithub]

Thanks.