chunk_content: 
  import os
  
  os.environ["TOKENIZERS_PARALLELISM"] = "false"
  os.environ["CUDA_VISIBLE_DEVICES"] = "3"
  
  device = "cuda"
  model_name_or_path = "t5-large"
  tokenizer_name_or_path = "t5-large"
  
  text_column = "sentence"
  label_column = "text_label"
  max_length = 128
  lr = 1e-2
  num_epochs = 5
  batch_size = 8
  
  Load dataset
  	
  For this guide, you’ll train on the sentences_allagree subset of the financial_phrasebank dataset. This dataset contains financial news 