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nubertj avatar nubertj commented on September 1, 2024

Hi @g1y5x3 ,
It is hard to say what the right duration is, as it highly depends on the chosen learning-rate.
But for sure I never trained it for more than 200 epochs (you will also see that the loss kinda converges after that amount of time).
Best,

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g1y5x3 avatar g1y5x3 commented on September 1, 2024

Thank you for your clarification. So the 10,000 epochs that was in deployer/trainer.py was just a generic configuration but not necessarily the one used for reproducing the results right?

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g1y5x3 avatar g1y5x3 commented on September 1, 2024

Actually, would you mind share the training parameters that you used in the paper?

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nubertj avatar nubertj commented on September 1, 2024

yeah, usually I deployed it on servers and wanted to run it as long as possible rather than being killed by an internal epoch limit.

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nubertj avatar nubertj commented on September 1, 2024

Which parameters do you mean? model parameters (i.e. weights)?

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nubertj avatar nubertj commented on September 1, 2024

There is an example checkpoint for kitti provided here: https://github.com/leggedrobotics/DeLORA/tree/main/checkpoints

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