Arabic 800,000 model cant go below Error Rate 0.5

[ghost]

I have been training an Arabic language model from scratch for days now, reaching +800,000 epochs, the error rate wont go below 0.5 and thats very bad.
I have used artificial training data that I have created, here are there specifications:
Arabic, no diacritics, 300dpi, black and white, 100% correct transcriptions, about 2100 lines.
The CLSTM settings consists of hidden=100 and lrate=1e-4

Can anybody help @tmbdev @mittagessen

[amitdo]

Try to find out where that 0.5 comes from.

Maybe the errors are mostly with dot, comma, and spaces.

[zuphilip]

I would suggest to use ocropus-econf *.gt.txt to see the most common confusions, see https://github.com/tmbdev/ocropy/wiki/Compute-errors-and-confusions.

[mittagessen]

The error is almost certainly caused by incorrect ordering of the training data (error will usually hover around 0.6). The code points have to be in display order (i.e. left-to-right) instead of reading order (right-to-left). If you've created them using kraken/ketos run linegen with the --reorder option to fix this. It doesn't default to this option as the training interface is intended to deal with that for you once it is finished.

[ghost]

Thanks for your reply,
I am taking all your suggestions, and will work on tracing the error.
keep the issue open