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-- suppose you have a model called model | |
lrs_model = model:clone() | |
lrs = lrs_model:getParameters() | |
lrs:fill(1) -- setting the base learning rate to 1 | |
-- now lets set the learning rate factor of the bias of module 5 to 2 | |
lrs_model:get(5).bias:fill(2) | |
-- same thing for the weights of module 2, let's set them to 3 | |
lrs_model:get(2).weight:fill(3) | |
-- now pass lrs_model to optimState, which was created previously | |
optimState.learningRates = lrs |
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