code: def log_final_metrics(self, metrics_results):
      if self.logger:
          metrics_results = {
              f"{k}-final": v for k, v in metrics_results.items()
          }
          self.logger.log(metrics_results)
  
imports: import json
  import logging
  import os
  from datetime import datetime
  import merlin.models.tf
  import numpy
  import tensorflow
  from merlin.io.dataset import Dataset
  from merlin.models.tf.logging.callbacks import ExamplesPerSecondCallback, WandbLogger
  from merlin.models.tf.transforms.negative_sampling import InBatchNegatives
  from merlin.schema.tags import Tags
  from .args_parsing import Task, parse_arguments
  from .mtl import get_mtl_loss_weights, get_mtl_prediction_tasks
  from .ranking_models import get_model
label_desc: Use image node_id 14 for calling the RankingTrainEvalRunner obj's underlying member method code with example usage: obj.log_final_metrics(metrics_results) without return types