You'll need something like this:

training/lstmtraining --stop_training \
  --continue_from ./trained/base_checkpoint \
  --traineddata ./trained/eng/eng.traineddata \
  --model_output ./trained/engoutput/eng.traineddata

To "finish" the training

On Tuesday, October 24, 2017 at 10:52:02 AM UTC-4, Ibr wrote:
>
> Hi,
> I have the latest version of Tesseract and leptonica 1.74.4, ran the 
> command 
> training/lstmtraining --model_output 
> /home/ibr/latest_leptonica_4/lstmf_old_jpn/jpn \
>   --continue_from /home/ibr/latest_leptonica_4/jpn_tune/extracted/jpn.lstm 
> \
>   --traineddata 
> /home/ibr/latest_leptonica_4/lstmf_jpn_lep4/jpn/jpn.traineddata \
>   --old_traineddata 
> /home/ibr/latest_leptonica_4/jpn_tune/original_traineddata/jpn.traineddata \
>   --train_listfile 
> /home/ibr/latest_leptonica_4/jpn_tune/jpn.training_files.txt \
>   --max_iterations 18000
>
> then the command :
>
> training/lstmtraining --stop_training \
>   --continue_from /path/to/fine_tune/results/lang_checkpoint \
>   --traineddata /path/to/starter_traineddata/lang.traineddata \
>   --model_output /paht/to/new/tuned_lang.traineddata/lang.traineddata  
> to create the traineddata file, yet I found that the accuracy of the 
> official "best_traineddata" is better that what I got, I saw on this ocr 
> group and some comments of GitHub that too many iterations don't give you 
> best results, so I was wondering what is the optimal iterations to get the 
> best results?
>
> the first command above is from, Fine Tune for +_ few characters, what are 
> the commands for "Fine Tuning Impact"? I tried the command :
>
> training/lstmtraining --model_output ~/tesstutorial/impact_from_small/impact \
>   --continue_from ~/tesstutorial/engoutput/base_checkpoint \
>   --traineddata ~/tesstutorial/engtrain/eng/eng.traineddata \
>   --train_listfile ~/tesstutorial/engeval/eng.training_files.txt \
>   --max_iterations 1200
>
> but what is the next commands?
>
> Thanks 
>
>
>
>
>

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