<gh_stars>1-10
# Minibatch Size
BATCH_SIZE = 32
# Gradient clip threshold
GRAD_CLIP = 10
# Learning rate
LEARNING_RATE = 0.0005
# Maximum number of steps in BPTT
GRAD_STEPS = -1
# Number of epochs for training
NUM_EPOCHS = 10
# do validation every VALIDATION_FREQ iterations
VALIDATION_FREQ = 100 # 100
# maximum word length for character model
MAX_WORD_LEN = 10

# Minibatch Size
BATCH_SIZE = 32
# Gradient clip threshold
GRAD_CLIP = 10
# Learning rate
LEARNING_RATE = 0.0005
# Maximum number of steps in BPTT
GRAD_STEPS = -1
# Number of epochs for training
NUM_EPOCHS = 10
# do validation every VALIDATION_FREQ iterations
VALIDATION_FREQ = 100 # 100
# maximum word length for character model
MAX_WORD_LEN = 10
# Minibatch Size # Gradient clip threshold # Learning rate # Maximum number of steps in BPTT # Number of epochs for training # do validation every VALIDATION_FREQ iterations # 100 # maximum word length for character model