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Continue training when validation loss below threshold

Open tkornuta-ibm opened this issue 6 years ago • 0 comments

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

tkornuta-ibm avatar Nov 10 '18 01:11 tkornuta-ibm