docstr: Returns accuracy metric value for the last model output. 
docstr_tok: ["Returns","accuracy","metric","value","for","the","last","model","output","."]
code: def value(self):
      """Returns accuracy metric value for the last model output."""
      return {self._name: self._matches[-1]}
  
imports: import os
  import json
  import random
  from PIL import Image
  import numpy
  from compression.api import DataLoader, Metric
  from torchvision.transforms import transforms
label_desc: Use image node_id 2 for calling the Accuracy obj's underlying member method code with example usage: obj.value() and returns: dict