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jiegzhan / multi-class-text-classification-cnn

Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.
Apache License 2.0
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UnboundLocalError: local variable 'path' referenced before assignment #4

Open arisagithub opened 7 years ago

arisagithub commented 7 years ago

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 commented 7 years ago

"evaluate_every": 200

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

arisagithub commented 7 years ago

Thanks.