Please see
https://github.com/OCR-D/ocrd-train/blob/f89efdd46c01aedea615d35e0561c50d7f86e584/Makefile

learning rate does not need to be specified for finetuning. It is
automatically determined/reduced - see
https://github.com/tesseract-ocr/tesseract/wiki/TrainingTesseract-4.00#net-mode-and-optimization



On Sun, Mar 10, 2019 at 11:23 AM <[email protected]> wrote:

> In the ocrd-train Makefile, here is the code for finetuning
>
>
> ifdef START_MODEL
> $(LAST_CHECKPOINT): unicharset lists $(PROTO_MODEL)
> mkdir -p data/checkpoints
> lstmtraining
> --traineddata $(PROTO_MODEL)
> --old_traineddata $(TESSDATA)/$(START_MODEL).traineddata
> --continue_from data/$(START_MODEL)/$(START_MODEL).lstm
> --net_spec "[1,36,0,1 Ct3,3,16 Mp3,3 Lfys48 Lfx96 Lrx96 Lfx256 O1chead
> -n1 data/unicharset]"
> --model_output data/checkpoints/$(MODEL_NAME)
> --learning_rate 20e-4
> --train_listfile data/list.train
> --eval_listfile data/list.eval
> --max_iterations 10000
>
>
> Why do we need the following line? I thought it was only used in training
> from scratch.
> --net_spec "[1,36,0,1 Ct3,3,16 Mp3,3 Lfys48 Lfx96 Lrx96 Lfx256 O1chead
> -n1 data/unicharset]" \
>
>
> Should the learning rate be set lower for fine-tuning? The learning rate
> for training from scratch is 20e-4, so it would seem that the learning rate
> for fine-tuning should be significantly lower?
> --learning_rate 20e-4 \
>
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____________________________________________________________
भजन - कीर्तन - आरती @ http://bhajans.ramparivar.com

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