Finetuning in ocrd-train
ameera...@gmail.com
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 \
Shree Devi Kumar
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