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Continue training when validation loss below threshold #84

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tkornuta-ibm opened this issue Nov 10, 2018 · 0 comments

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tkornuta-ibm commented Nov 10, 2018

Consider actually NOT stopping when "converged", this will require dividing loss_stop into two parameters:

loss_threshold (DEFAULT: 1e-5) - indicating the threshold
loss_stop (DEFAULT: True or False?) - indicating whether we want to stop or continue training

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