How do I tune the parameters for SGD in my model?
Tuning SGD parameters involves adjusting the learning rate, momentum, and decay. What specific issues are you facing?
I'm not sure if my learning rate is too high or too low.
A good starting point is to try learning rates like 0.01, 0.001, or 0.0001. You can use a learning rate schedule to adjust it dynamically.
What about momentum? How does it affect training?
Momentum helps accelerate SGD in the relevant direction and dampens oscillations. Typical values range from 0.5 to 0.9.
Should I use learning rate decay?
Yes, learning rate decay can help improve convergence by reducing the learning rate over time, allowing for finer adjustments.
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