Comments (2)
Hi!
Our training method is quite patient and only stops training if the loss doesn't decrease for 200 epochs. In the your screen shot, you can see that the best epoch so far was epoch 1562. Training would stop in epoch 1762 if the loss does not decrease in the mean time, which would reset the patience counter to 200.
To speed up training (at the cost of performance), you can change the patience. The default value is defined here. I would recommend overwriting it here by inserting something like
hyperparams['patience'] = 10
Cheers,
Rico
from differentiable-particle-filters.
Got It! Thanks!
from differentiable-particle-filters.
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