building tir.traineddata from scratch

[Biniam]

For language tir (which has over 350 characters) only 272 are included in the existing lstm tir.traineddata. I have a file with all the missing charset included and I have a training text. I want to recreate tir.traineddata but I could not find the exact commands and parameters used to make it. 

Basically, how to compile https://github.com/tesseract-ocr/langdata_lstm/tree/master/tir so I can get the same output as https://github.com/tesseract-ocr/tessdata_best/blob/master/tir.traineddata 

I followed the documentation inhttps://tesseract-ocr.github.io/tessdoc/TrainingTesseract-4.00.html to train from scratch and come up with a set of commands shown here https://github.com/TigrinyaNLP/Tigrinya-tasseract-ocr/blob/master/bin/train_from_scrach.sh

But the final result is not that good. for example, I used  --max_iterations 50000 and    net_spec '[1,36,0,1 Ct3,3,16 Mp3,3 Lfys48 Lfx96 Lrx96 Lfx256 O1c352] but this parameters are copied from the eng example and may not be good fit for 'tir'. I would appreciate it if someone could tell me what commands are used to build tir.traineddata in  tessdata_best. 

I know I could use fine-tune or adding the missing chars instead of building from scratch, but I have more things to modify (like adding wordlist, and other improvements, fonts) which will improve the quality of 'tir' a lot. This language is not that big and it should not be a big task as rebuilding 'eng'.

Thanks,

Biniam

[Shree Devi Kumar]

Please see https://tesseract-ocr.github.io/tessdoc/Data-Files-in-tessdata_fast.html

Version string:4.00.00alpha:tir:synth20170629
LSTM training info:Network str:[1,36,0,1Ct3,3,16Mp3,3Lfys48Lfx96Lrx96Lfx128O1c1], flags=41,
iteration=10498000, sample_iteration=10498000, null_char=267, learning_rate=0.001, momentum=0.5, adam_beta=0.999

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