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Use this tag for questions related to overfitting, which is a modeling error (especially sampling error) where instead of improving model fit statistics, replicable and informative relationships among variables reduce parsimony, and worsens explanatory and predictive validity.
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diffusion model: can't overfit on single batch
As always, I try to make a sanity check of the pipeline, by overfitting on a single batch. I would expect the loss to go to 0 or nearly 0.
But the loss get's stuck pretty high. … Is it not common to use this single batch overfitting for diffusion models? Is this a sign of bad implementation?
Also, I should add, that I did the same with the notebook from diffusion policy. …