chunk_content: , TrainerControl
  
  trainer = Seq2SeqTrainer(
      args=training_args,
      model=model,
      train_dataset=common_voice["train"],
      eval_dataset=common_voice["test"],
      data_collator=data_collator,
      tokenizer=processor.feature_extractor,
      callbacks=[SavePeftModelCallback],
  )
  model.config.use_cache = False
  trainer.train()
  
  Evaluate
  	
  Word error rate (WER) is a common metric for evaluating ASR models. Load the WER metric from 🤗 Evaluate:
  
  
  