[D] - Is it safe to force stop, save weights and later resume a Tensorflow model during training?

So I am working with a Unet (CNN) architecture with an Adam optimizer. Occasionally I have forced stopped the model, saved the weights, then resumed the training later on. When I resume, the loss plot seems to look less smooth compared to what it did earlier, but the loss also seems to have decreased significantly.

Is it generally safe to stop and resume model training in this way? Also, I'm not sure how to interpret the decreased but less smooth …

machinelearning resume tensorflow training