Deep Learning, Pytorch, Fine Tuning, Computer Vision, Transfer Learning.
potentially harm the training process. The potential harms of using mixed precision training include: Loss of Numerical Precision because of FP16 and this loss of precision may lead to reduced model accuracy, particularly in tasks that require high precision. Mixed precision might not be suitable