chunk_content: s specified in the configuration file:
  
  
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  is_ds_zero_3 = False
  if getattr(accelerator.state, "deepspeed_plugin", None):
      is_ds_zero_3 = accelerator.state.deepspeed_plugin.zero_stage == 3
  Inside the training loop, the usual loss.backward() is replaced by 🤗 Accelerate’s backward which uses the correct backward() method based on your configuration:
  
  
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    for epoch in range(num_epochs):
        with TorchTracemalloc() as tracemalloc:
  