code: def get_model_select_metric(self, metrics):
      if self.model_select_metric_key == "fa":
          return metrics.frame_accuracy
      else:
          return metrics.loss[self.model_select_metric_key]
  
imports: from collections import defaultdict
  from typing import Dict, List
  import numpy
  from pytext.common.constants import Stage
  from pytext.data.tensorizers import Tensorizer
  from pytext.metric_reporters.channel import ConsoleChannel
  from pytext.metric_reporters.compositional_metric_reporter import CompositionalMetricReporter
  from pytext.metric_reporters.seq2seq_compositional import CompositionalSeq2SeqFileChannel, Seq2SeqCompositionalMetricReporter
  from pytext.metrics.intent_slot_metrics import FramePredictionPair
  from pytext.metrics.mask_metrics import compute_masked_metrics, compute_nas_masked_metrics
  from .compositional_utils import extract_beam_subtrees, filter_invalid_beams
label_desc: Use image node_id 11 for calling the MaskedSeq2SeqCompositionalMetricReporter obj's underlying member method code with example usage: obj.get_model_select_metric(metrics) and returns: metrics, metrics