chunk_content: tric for evaluating the model’s performance. The evaluation module returns the accuracy and F1 scores associated with this specific task.
  
  
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  metric = evaluate.load("glue", task)
  Now you can use the metric to write a function that computes the accuracy and F1 scores. The compute_metric function calculates the scores from the model predictions and labels:
  
  
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  import numpy as np
  
  
  def compute_metrics(eval_pred):
      predictions, label