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Feature Request: fully automatic two step training with data augmentation #34

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chreul opened this issue Oct 24, 2018 · 1 comment
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@chreul
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chreul commented Oct 24, 2018

our experiments have shown that, when using data augmentation, a two step training approach is sensible:

  1. train on all available lines (real + augmented).
  2. refine the models resulting from 1 by training on real lines only and use the outcome of 1 as a starting point.

it would be nice if these training steps could be automatically performed by calamari without requiring any futher input by the user. the auto config proposed in #33 might be helpful :-).

@ChWick
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ChWick commented Oct 29, 2018

closed by 39ab967

@ChWick ChWick closed this as completed Oct 29, 2018
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