chunk_content: inable params: 1351938 || all params: 355662082 || trainable%: 0.38011867680626127"
  From the 🤗 Transformers library, set up the TrainingArguments class with where you want to save the model to, the training hyperparameters, how to evaluate the model, and when to save the checkpoints:
  
  
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  training_args = TrainingArguments(
      output_dir="your-name/roberta-large-peft-p-tuning",
      learning_rate=1e-3,
      per_device_train_batch_size=32,
    