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main.py
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main.py
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from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from absl import logging
from absl import app
import tensorflow as tf
import config
from preprocess import ProcessFactory
from model import JointCategoricalBert
def main(argv):
"""Main function for training process.
"""
del argv
tf.config.experimental_run_functions_eagerly(config.tf_eager_execution)
data_factory = ProcessFactory(
sentences=config.sentences_file,
intents=config.intents_file,
slots=config.slots_file,
split=config.validation_set_ratio)
data = data_factory.get_data()
logging.info('after preprocess')
model = JointCategoricalBert(
train=data['train'],
validation=data['validation'],
intents_num=data_factory.get_intents_num(),
slots_num=data_factory.get_slots_num())
logging.info('after initializing model')
model.fit()
# TODO(Ebi): Save trained model
if __name__ == '__main__':
app.run(main)