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Answer Posted / Shyama Pathak
To prevent overfitting during fine-tuning, consider the following strategies: 1. Early stopping to stop training when validation performance plateaus; 2. Regularization techniques like L1 and L2 regularization; 3. Data augmentation to increase the amount of available data; 4. Using dropout or batch normalization during training.
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