Ozal Yildirim

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3.3. Results Using a pre-trained model can have several implications for the training phase. The pre-trained model provides a starting point that is already optimized, reducing training time and saving computational resources compared to training a model from scratch. Pre-trained models often perform better than models trained from scratch as they have already learned general representations from a large dataset, providing a strong foundation for fine-tuning the target task.