chunk_content: full fine-tuning on the same setup (same
  model variant, same dataset, same training schedule, etc.), except LoRA allows to achieve them with a fraction of total
  trainable parameters and in less time.
  If you wish to use this example and improve the results, here are some things that you can try:
  Increase the number of training samples.
  Try a larger SegFormer model variant (explore available model variants on the Hugging Face Hub).
  Try different 