Validation loss in Assignment 2

I am experimenting with various loss functions. I tried mse_loss and L1_loss and the val_loss is around 10K. HAs anybody tried a different network or a loss function that has given a lower val loss?

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I made my own loss function and that was nothing but the square root over mse_loss (and that made it rmse_loss, :thinking:). Doing this reduced the large value of val_loss.

I haven’t tried L1_loss but I’ll check it out.

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Thanks @ayush-mishra-ald for replying. I did try RMSE as well. Not much traction for my customized set.
I tried SmoothHuberloss in pytorch. Seems much better. LEt me know how it works for you!

Shobha

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