sometimes it reads the number completely false unfortunately. I'm going to 
see if there is a youtube tutorial for tesseract 4 training. this google 
support kinda not it, it seems ...

Thanks.

Shavkat Sultanov schrieb am Samstag, 10. Januar 2026 um 11:33:56 UTC+1:

> I guess I'm going to try tesseract 4 then ? Maybe there is better 
> documentation for it. 
>
> Shavkat Sultanov schrieb am Donnerstag, 8. Januar 2026 um 10:24:16 UTC+1:
>
>> please help.
>>
>> Shavkat Sultanov schrieb am Donnerstag, 8. Januar 2026 um 10:24:05 UTC+1:
>>
>>>
>>> hello?
>>> Shavkat Sultanov schrieb am Mittwoch, 7. Januar 2026 um 12:14:47 UTC+1:
>>>
>>>> Hi there,
>>>>
>>>>
>>>> I asked a question before, that one got solved. 
>>>>
>>>> I am further down the training process and I need help. 
>>>>
>>>> when I try to run the training script (make training ...) the first 
>>>> time, it does a lot of stuff, namely making more files, that it is 
>>>> supposed 
>>>> to do, as per the user manual. 
>>>>
>>>> but it is still failing and I do not know why, unfortunately. 
>>>>
>>>> I ran it again, to produce the error again, it will not show making of 
>>>> all those .box-files and such. I am having trouble copying from the 
>>>> command 
>>>> line inteface aswell... . 
>>>>
>>>> here is my command and it's output though, I hope you can help me with 
>>>> this:
>>>>
>>>> shavkat95@ubuntu:/mnt/tesstrain$ sudo make training RATIO_TRAIN=1.0 
>>>> MODEL_NAME=gg_custom_1 DATA_DIR=./data 
>>>> GROUND_TRUTH_DIR=./data/gg_custom_1-ground-truth START_MODEL=eng 
>>>> MAX_ITERATIONS=500 TESSDATA=/mnt/tesseract/tessdata
>>>> You are using make version: 4.3
>>>>
>>>> lstmtraining \
>>>>   --debug_interval 0 \
>>>>   --traineddata ./data/gg_custom_1/gg_custom_1.traineddata \
>>>>   --old_traineddata /mnt/tesseract/tessdata/eng.traineddata \
>>>>   --continue_from ./data/eng/gg_custom_1.lstm \
>>>>   --learning_rate 0.0001 \
>>>>   --model_output ./data/gg_custom_1/checkpoints/gg_custom_1 \
>>>>   --train_listfile ./data/gg_custom_1/list.train \
>>>>   --eval_listfile ./data/gg_custom_1/list.eval \
>>>>   --max_iterations 500 \
>>>>   --target_error_rate 0.01 \
>>>> 2>&1 | tee -a ./data/gg_custom_1/training.log
>>>> Loaded file ./data/eng/gg_custom_1.lstm, unpacking...
>>>> Warning: LSTMTrainer deserialized an LSTMRecognizer!
>>>> Code range changed from 111 to 111!
>>>> Num (Extended) outputs,weights in Series:
>>>>   1,36,0,1:1, 0
>>>> Num (Extended) outputs,weights in Series:
>>>>   C3,3:9, 0
>>>>   Ft16:16, 160
>>>> Total weights = 160
>>>>   [C3,3Ft16]:16, 160
>>>>   Mp3,3:16, 0
>>>>   TxyLfys64:64, 20736
>>>>   Lfx96:96, 61824
>>>>   RxLrx96:96, 74112
>>>>   Lfx512:512, 1247232
>>>>   Fc111:111, 56943
>>>> Total weights = 1461007
>>>> Previous null char=110 mapped to 110
>>>> Continuing from ./data/eng/gg_custom_1.lstm
>>>> Failed to load list of eval filenames from ./data/gg_custom_1/list.eval
>>>> Failed to load eval data from: ./data/gg_custom_1/list.eval
>>>>
>>>> lstmtraining \
>>>> --stop_training \
>>>> --continue_from ./data/gg_custom_1/checkpoints/gg_custom_1_checkpoint \
>>>> --traineddata ./data/gg_custom_1/gg_custom_1.traineddata \
>>>> --model_output data/gg_custom_1.traineddata
>>>> Failed to read continue from: 
>>>> ./data/gg_custom_1/checkpoints/gg_custom_1_checkpoint
>>>> make: *** [Makefile:325: data/gg_custom_1.traineddata] Error 1
>>>>
>>>>
>>>>
>>>> Thanks in advance!
>>>>
>>>>
>>>> Kind regards,
>>>> Shavkat Sultanov
>>>>
>>>>

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