chunk_content: uments
  
  training_args = Seq2SeqTrainingArguments(
      output_dir="your-name/int8-whisper-large-v2-asr",
      per_device_train_batch_size=8,
      gradient_accumulation_steps=1,
      learning_rate=1e-3,
      warmup_steps=50,
      num_train_epochs=3,
      evaluation_strategy="epoch",
      fp16=True,
      per_device_eval_batch_size=8,
      generation_max_length=128,
      logging_steps=25,
      remove_unused_columns=False,
      label_names=["labels"],
  )
  It is a