class_docstr: T5 Finetuning model in the same format as MegatronGPTSFTModel 
class_docstr_tok: ["T5","Finetuning","model","in","the","same","format","as","MegatronGPTSFTModel"]
code: def _determine_log_key(
      self, data_config, dataloader_idx, metric_name, mode
  ):
      # Function that determines whether to log based on the user provided name of the dataset or the dataloader index.
      base_key = (
          f"{mode}_{metric_name}_"
          if metric_name is not None
          else f"{mode}_"
      )
      # If the user provided names for each validation/test dataset, use those.
      if (
          hasattr(data_config, "names")
          and data_config.names is not None
      ):
          # With only a single validation/test dataset, the name is not a list.
          if not isinstance(data_config.names, ListConfig):
              name = data_config.names
          else:
              name = data_config.names[dataloader_idx]
          return base_key + name
      else:
          return base_key + f"dataloader{dataloader_idx}"
  
imports: import itertools
  import json
  from typing import Dict, List
  import torch
  from omegaconf import DictConfig, ListConfig
  from pytorch_lightning.trainer.trainer import Trainer
  from nemo.collections.common.data import ConcatMapDataset
  from nemo.collections.common.metrics import MetricStringToTorchMetric
  from nemo.collections.common.metrics.classification_accuracy import ExactStringPerCategoryMatchMetric
  from nemo.collections.nlp.data.common.sequence_to_sequence_dataset import SequenceToSequenceDataset
  from nemo.collections.nlp.data.language_modeling.megatron.t5_sft_dataset import T5SFTDataset
  from nemo.collections.nlp.models.language_modeling.megatron_t5_model import MegatronT5Model, T5Sentinel
  from nemo.collections.nlp.modules.common.megatron.utils import get_iterator_k_split
  from nemo.collections.nlp.parts.mixins.nlp_adapter_mixins import NLPAdapterModelMixin
  from nemo.collections.nlp.parts.utils_funcs import get_last_rank
  from nemo.utils import AppState, logging
label_desc: Use image node_id 14 for calling the MegatronT5SFTModel obj's underlying member method code with example usage: obj._determine_log_key(data_config, dataloader_idx, metric_name, mode) and returns: unknown, unknown