VAE loss does not converge

username: NullPointer
cooked: <p>I’m trying to process csv files with a multivariate auto-encoder. However, my model does not seem to be learning. Any advice is appreciated. In the images attached I have my loss function. I tried with the M/N factor mentioned in the Variational Bayes paper, but my results were similar. Thank you in advance.<br>
<div class="lightbox-wrapper"><a class="lightbox" href="https://discuss.pytorch.org/uploads/default/original/3X/4/1/41d73a2f9cd1ad03ea586d815caa80fe864845fd.jpeg" data-download-href="https://discuss.pytorch.org/uploads/default/41d73a2f9cd1ad03ea586d815caa80fe864845fd" title="image"><img src="https://discuss.pytorch.org/uploads/default/optimized/3X/4/1/41d73a2f9cd1ad03ea586d815caa80fe864845fd_2_230x500.jpeg" alt="image" data-base62-sha1="9os9N2zrJCB2WYWJmGN7xCOb0Sx" width="230" height="500" srcset="https://discuss.pytorch.org/uploads/default/optimized/3X/4/1/41d73a2f9cd1ad03ea586d815caa80fe864845fd_2_230x500.jpeg, https://discuss.pytorch.org/uploads/default/optimized/3X/4/1/41d73a2f9cd1ad03ea586d815caa80fe864845fd_2_345x750.jpeg 1.5x, https://discuss.pytorch.org/uploads/default/optimized/3X/4/1/41d73a2f9cd1ad03ea586d815caa80fe864845fd_2_460x1000.jpeg 2x" data-dominant-color="2D2D2D"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">image</span><span class="informations">1125×2436 65.6 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div><br>
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