def print_metrics()

in ml/eval/bt.py [0:0]

• 6 lines of code
• 1 McCabe index (conditional complexity)

def print_metrics(metrics):
    """
    Print evaluation metrics.

    Args:
        metrics (dict): Dictionary containing evaluation metrics.
    """
    print("\nEVALUATION METRICS:")
    print(f"Total examples: {metrics['total_examples']}")
    print(f"Percentage preferred - KTO model: {metrics['new_preferred_percentage']:.2f}%")
    print(f"Percentage preferred - SFT model: {metrics['old_preferred_percentage']:.2f}%")
    print(f"Average probability of KTO model being preferred: {metrics['avg_probability_new_preferred']:.4f}")