Evaluation मेट्रिक्स परिभाषित करें

def compute_metrics(eval_predictions):
    load_accuracy = evaluate.load("accuracy")
  	# Load the F1 score
    load_f1 = evaluate.load("____")
    # Extract logits and labels from eval_predictions
    logits, ____ = eval_predictions
    # Convert logits to predictions
    predictions = np.____(logits, axis=-1)
    accuracy = load_accuracy.compute(predictions=predictions, references=labels)["accuracy"]
    # Compute the F1 score
    f1 = ____.____(predictions=predictions, references=labels)["f1"]
    return {"accuracy": accuracy, "f1": f1}