code: def main(argv: Sequence[str]) -> None:
      if len(argv) > 1:
          raise app.UsageError("Too many command-line arguments.")
  
      model = glue_models.SST2Model(_ENCODER_NAME.value)
      train_data = datasets.SingleInputClassificationFromTSV(
          _TRAIN_DATA_PATH.value
      )
      dev_data = datasets.SingleInputClassificationFromTSV(
          _DEV_DATA_PATH.value
      )
  
      train_and_save(
          model,
          train_data,
          dev_data,
          _TRAIN_PATH.value,
          save_intermediates=_SAVE_INTERMEDIATES.value,
          num_epochs=_NUM_EPOCHS.value,
          learning_rate=1e-5,
          batch_size=16,
      )
  
file_path: lit/lit_nlp/examples/is_eval/is_eval_trainer.py
imports: from collections.abc import Sequence
  import os
  from absl import app
  from absl import flags
  from absl import logging
  from lit_nlp.examples.is_eval import datasets
  from lit_nlp.examples.models import glue_models
  from lit_nlp.lib import serialize
  import tensorflow
label_desc: Use image node_id 3 for calling a global function with example usage: main(argv) without return types