class_docstr: APIs to help create and train a BERT-based text classifier.
class_docstr_tok: ["APIs","to","help","create","and","train","a","BERT-based","text","classifier","."]
docstr: Creates the BERT-based classifier keras model and trains it.
  
  Args:
    train_data: Training data.
    validation_data: Validation data.
code: def _create_and_train_model(
      self,
      train_data: text_ds.Dataset,
      validation_data: text_ds.Dataset,
  ):
      """Creates the BERT-based classifier keras model and trains it.
  
      Args:
        train_data: Training data.
        validation_data: Validation data.
      """
      (
          processed_train_data,
          processed_validation_data,
      ) = self._load_and_run_preprocessor(train_data, validation_data)
      with self._hparams.get_strategy().scope():
          self._create_model()
          self._create_optimizer(processed_train_data)
      self._train_model(processed_train_data, processed_validation_data)
  
imports: import abc
  import os
  import tempfile
  from typing import Any, Optional, Sequence, Tuple
  import tensorflow
  from tensorflow_addons import optimizers
  import tensorflow_hub
  from mediapipe.model_maker.python.core.data import dataset
  from mediapipe.model_maker.python.core.tasks import classifier
  from mediapipe.model_maker.python.core.utils import hub_loader
  from mediapipe.model_maker.python.core.utils import loss_functions
  from mediapipe.model_maker.python.core.utils import metrics
  from mediapipe.model_maker.python.core.utils import model_util
  from mediapipe.model_maker.python.core.utils import quantization
  from mediapipe.model_maker.python.text.text_classifier import bert_tokenizer
  from mediapipe.model_maker.python.text.text_classifier import dataset
  from mediapipe.model_maker.python.text.text_classifier import hyperparameters
  from mediapipe.model_maker.python.text.text_classifier import model_options
  from mediapipe.model_maker.python.text.text_classifier import model_spec
  from mediapipe.model_maker.python.text.text_classifier import model_with_tokenizer
  from mediapipe.model_maker.python.text.text_classifier import preprocessor
  from mediapipe.model_maker.python.text.text_classifier import text_classifier_options
  from mediapipe.tasks.python.metadata.metadata_writers import metadata_writer
  from mediapipe.tasks.python.metadata.metadata_writers import text_classifier
label_desc: Use image node_id 3 for calling the _BertClassifier obj's underlying member method code with example usage: obj._create_and_train_model(train_data, validation_data) without return types