Comments (4)
hanrelan
commented on August 28, 2024
I've confirmed that there is an issue with train_shallow_layer.py. Specifically the test I ran was to run both train.py (nl2sql) and train_shallow_layer.py overnight. The nl2sql model reached 80% accuracy after 12 epochs, while the shallow-layer model remained at 0% even after 21 epochs of training. CLI parameters for both were the same.
Any ideas on what might be causing train_shallow_layer.py to fail?
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whwang299
commented on August 28, 2024
Hi @hanrelan
That may be caused by using improper learning rate. In shallow layer, args.lr is used to train BERT (sorry for the confusion) and 1e-3 is too fast.. I have modified the code to avoid confusion. Please try again with same command (note that args.lr is not used anymore in train_shallow_layer.py 0e1794f).
Thanks!
Wonseok
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hanrelan
commented on August 28, 2024
Ah, makes sense, thanks. I'll try it again tonight and close this issue if it works
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hanrelan
commented on August 28, 2024
That fixed it, getting 78% lx accuracy now. Thanks!
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