docstr: Outputs the Word Error Rate (WER) file
  
  Arguments
  ---------
  file_name: str
      the report file name
docstr_tok: ["Outputs","the","Word","Error","Rate","(","WER",")","file","Arguments","--","--","--","--","-","file_name",":","str","the","report","file","name"]
code: def _write_wer_file(self, file_name):
      """Outputs the Word Error Rate (WER) file
  
      Arguments
      ---------
      file_name: str
          the report file name
      """
      with open(file_name, "w") as w:
          w.write("\nseq2seq loss stats:\n")
          self.seq_metrics.write_stats(w)
          w.write("\nPER stats:\n")
          self.per_metrics.write_stats(w)
          logger.info(
              "seq2seq, and PER stats written to file: %s", file_name
          )
  
imports: from speechbrain.dataio.dataset import FilteredSortedDynamicItemDataset, DynamicItemDataset
  from speechbrain.dataio.sampler import BalancingDataSampler
  from speechbrain.utils.data_utils import undo_padding
  import datasets
  import logging
  import os
  import random
  import speechbrain
  import sys
  from enum import Enum
  from collections import namedtuple
  from hyperpyyaml import load_hyperpyyaml
  from functools import partial
  from speechbrain.utils.distributed import run_on_main
  from speechbrain.utils.pretrained import save_for_pretrained
  from speechbrain.lobes.models.g2p.dataio import enable_eos_bos, grapheme_pipeline, phoneme_pipeline, tokenizer_encode_pipeline, add_bos_eos, get_sequence_key, phonemes_to_label
  from speechbrain.dataio.wer import print_alignments
  from speechbrain.wordemb.util import expand_to_chars
  from io import StringIO
  from speechbrain.utils import hpopt
  import numpy
label_desc: Use image node_id 17 for calling the G2PBrain obj's underlying member method code with example usage: obj._write_wer_file(file_name) without return types