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Monitoring the validation loss and stopping training when it plateaus prevents overfitting. Transfer Learning: Leveraging pre-trained models as a starting point for fine-tuning on a specific task accelerates convergence. Layer Freezing: Freezing certain layers during fine-tuning can preserve useful