chunk_content: rparameter tuning to achieve optimal results.
  
  
  	Copied
  model_name = checkpoint.split("/")[-1]
  
  training_args = TrainingArguments(
      output_dir=f"{model_name}-scene-parse-150-lora",
      learning_rate=5e-4,
      num_train_epochs=50,
      per_device_train_batch_size=4,
      per_device_eval_batch_size=2,
      save_total_limit=3,
      evaluation_strategy="epoch",
      save_strategy="epoch",
      logging_steps=5,
      remove_unused_columns=False,
      push