UnboundLocalError: local variable 'path' referenced before assignment

[cocokatta]

Hi,

I was using your model trainer, but with considerably less data than from the given example

1. Trying to train for 3 classes
2. Approx. 50 sentences in the training set for each class

and what parameters should I provide in order to make a functioning/effective model.

Normally when I run with the given parameters we get an error, and so we were wondering if there was a better way to go about doing that.

Errors include:

1. for the following paramters
   {
   "num_epochs": 1,
   "batch_size": 20,
   "num_filters": 32,
   "filter_sizes": "3,4,5",
   "embedding_dim": 50,
   "l2_reg_lambda": 0.0,
   "evaluate_every": 200,
   "dropout_keep_prob": 0.5
   }
   logging.critical('Accuracy on test set is {} based on the best model {}'.format(test_accuracy, path))
   UnboundLocalError: local variable 'path' referenced before assignment

[jiegzhan]

try smaller batch_size and evaluate_every