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@Flawless1202 thanks for the clear and informative report. We've made some changes to this example but haven't re-run it from scratch in a while because it takes quite a long time to train to convergence. It's also somewhat unstable, so I'm not surprised to see some NaNs pop up.
We'll look into it ourselves to see if there are any bugs in the model, but in the meantime you might try reducing the learning rate manually or via a scheduler, stopping early based on a validation loss, or restarting from several different initial points.
When I run the tutorial Example: Deep structural causal model counterfactuals, the following cell:
causes an error as follow:
How could I solve the problem and get the correct outputs?
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