Python bert.optimization.create_optimizer() Examples

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Example #1
Source File: tune_utils.py    From embedding with MIT License 5 votes vote down vote up 
def tune(self):
        global_step = tf.train.get_or_create_global_step()
        tf.logging.info("num_train_steps: " + str(self.num_train_steps))
        tf.logging.info("num_warmup_steps: " + str(self.num_warmup_steps))
        train_op = create_optimizer(self.loss, self.learning_rate, self.num_train_steps, self.num_warmup_steps, use_tpu=False)
        output_feed = [train_op, global_step, self.logits, self.loss]
        restore_vars = [v for v in tf.trainable_variables() if "bert" in v.name]
        sess = tf.Session()
        sess.run(tf.global_variables_initializer())
        tf.train.Saver(restore_vars).restore(sess, self.pretrain_model_fname)
        saver = tf.train.Saver(max_to_keep=1)
        self.train(sess, saver, global_step, output_feed)