class_docstr: MultiProblem base class.
class_docstr_tok: ["MultiProblem","base","class","."]
code: def eval_metrics(self):
      for task in self.task_list:
          if "summarize" in task.name:
              return [
                  metrics.Metrics.ACC,
                  metrics.Metrics.NEG_LOG_PERPLEXITY,
                  metrics.Metrics.ROUGE_2_F,
                  metrics.Metrics.ROUGE_L_F,
              ]
      return [
          metrics.Metrics.ACC,
          metrics.Metrics.NEG_LOG_PERPLEXITY,
      ]
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from tensor2tensor.data_generators import problem
  from tensor2tensor.data_generators import text_problems
  from tensor2tensor.layers import common_layers
  from tensor2tensor.layers import discretization
  from tensor2tensor.layers import modalities
  from tensor2tensor.utils import metrics
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 7 for calling the MultiProblem obj's underlying member method code with example usage: obj.eval_metrics() and returns: list, list