chunk_content: "roberta-large"
  task = "mrpc"
  num_epochs = 20
  lr = 1e-3
  batch_size = 32
  
  Load dataset and metric
  	
  Next, load the mrpc configuration - a corpus of sentence pairs labeled according to whether they’re semantically equivalent or not - from the GLUE benchmark:
  
  
  	Copied
  dataset = load_dataset("glue", task)
  dataset["train"][0]
  {
      "sentence1": 'Amrozi accused his brother , whom he called " the witness " , of deliberately distorting his evidence .'