Hi, 
I have been runnig about 130G data which are 4000 files. My command is

/home/kddlab/Desktop/tesseract-master/src/training/lstmtraining   \
  --traineddata 
/home/kddlab/Desktop/tesseract-master/src/training/langdata/fas/fas/fas.traineddata
   
--net_spec '[1,48,0,1Ct3,3,16Mp3,3Lfys64Lfx96Lrx96Lfx192O1c165]' \
  --model_output 
/home/kddlab/Desktop/tesseract-master/src/training/langdata/fas/Out_Checkpoint/base
 
--learning_rate 0.001 \
  --train_listfile 
/home/kddlab/Desktop/tesseract-master/src/training/langdata/fas/fas.training_files.txt
 
\
  --eval_listfile 
/home/kddlab/Desktop/tesseract-master/src/training/langdata/fas/v/fas.training_files.txt
 
\ --max_iterations 150000 
&>/home/kddlab/Desktop/tesseract-master/src/training/langdata/fas/Out_Checkpoint/basetrain.log

but after reading some files the tesseract gives the error and stop 
training:

Loaded 821/10179 pages (1-821) of document 
/home/kddlab/Desktop/tesseract-master/src/training/langdata/fas/AllLstm/fas.B_Lotus.exp2778.lstmf
lt-lstmtraining: genericvector.h:720: T& GenericVector<T>::operator[](int) 
const [with T = char]: Assertion `index >= 0 && index < size_used_' failed.
Could you please help me?

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