docstr: Trains the parameters given a single batch in input
docstr_tok: ["Trains","the","parameters","given","a","single","batch","in","input"]
code: def fit_batch(self, batch):
      """Trains the parameters given a single batch in input"""
  
      predictions = self.compute_forward(batch, sb.Stage.TRAIN)
      loss = self.compute_objectives(predictions, batch, sb.Stage.TRAIN)
      loss.backward()
      if self.check_gradients():
          self.optimizer.step()
      self.optimizer.zero_grad()
  
      return loss.detach()
  
file_path: speechbrain/recipes/MultiWOZ/response_generation/llama2/train_with_llama2.py
imports: import sys
  import speechbrain
  import torch
  from itertools import chain
  from hyperpyyaml import load_hyperpyyaml
  from speechbrain.utils.distributed import run_on_main
  import math
  from speechbrain.dataio.batch import PaddedBatch
label_desc: Use image node_id 3 for calling the ResGenBrain obj's underlying member method code with example usage: obj.fit_batch(batch) and returns: loss