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I am training an NBEATS model with a custom loss function defined by myself. I train the model (set save_checkpoints = True) for a certain amount of epochs and then I load it again (load_from_checkpoint) to continue training, but when I do so, the loss function switches to the default MSELoss instead of continuing with my custom loss.
System (please complete the following information):
Python version: [e.g. 3.7,13]
darts version [e.g. 0.22.0]
The text was updated successfully, but these errors were encountered:
Describe the bug
I am training an NBEATS model with a custom loss function defined by myself. I train the model (set save_checkpoints = True) for a certain amount of epochs and then I load it again (load_from_checkpoint) to continue training, but when I do so, the loss function switches to the default MSELoss instead of continuing with my custom loss.
System (please complete the following information):
The text was updated successfully, but these errors were encountered: