chunk_content: rgmax(eval_pred.predictions, axis=1)
      return metric.compute(predictions=predictions, references=eval_pred.label_ids)
  The compute_metrics function takes a named tuple as input: predictions, which are the logits of the model as Numpy arrays,
  and label_ids, which are the ground-truth labels as Numpy arrays.
  
  Define collation function
  	
  A collation function is used by Trainer to gather a batch of training and evaluation examples and prepare them