Thank you for your answer. Here I can’t compute accuracy, since it is an unsupervised learning algorithm and there is no label here. The way that loss is computed is that for every image we compute two transformations of the image and then the loss is the euclidean distance between these transformations that tries to minimize dissimilarity between these images and in this way the network learns. That’s why I do not have any other metric to judge the behavior  of the algorithm except loss.