There might be various reasons that potentially lead to this. Please update more information.
To diagnose on the problem, more descroptions on your training is necessary, such as the full image of loss curve (both train and validation), the scale of dataset, the policy of dropping learning rate.
Moreover, some deep learning tasks just has this kind of characteristics, such as GAN and NAS, where the proper epoch of training achieves better performance than training more epochs.