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 ids_to_text(cls, batch_ids, tokenizer):
      batch_ids = batch_ids.cpu().numpy().tolist()
      texts = []
      for ids in batch_ids:
          if tokenizer.eos_id in ids:
              idx = ids.index(tokenizer.eos_id)
              ids = ids[:idx]
  
          if (
              len(tokenizer.text_to_ids(T5Sentinel.END.value)) == 1
              and tokenizer.text_to_ids(T5Sentinel.END.value)[0] in ids
          ):
              idx = ids.index(
                  tokenizer.text_to_ids(T5Sentinel.END.value)[0]
              )
              ids = ids[:idx]
  
          # Legacy sentencepiece detokenization still preserves special tokens which messes up exact string match.
          if hasattr(tokenizer, "special_token_to_id"):
              ids = [
                  id
                  for id in ids
                  if id not in tokenizer.special_token_to_id.values()
              ]
          text = tokenizer.ids_to_text(ids)
          texts.append(text)
  
      return texts
  
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 13 for calling the MegatronT5SFTModel obj's underlying member method code with example usage: obj.ids_to_text(cls, batch_ids, tokenizer) and returns: texts