should I worry regarding the below error ?

Warning: LSTMTrainer deserialized an LSTMRecognizer!
Continuing from ../tesstutorial/eng_layer_eng/eng.lstm
*Appending a new network to an old one!!Warning: given outputs 111 not
equal to unicharset of 136.*
Num outputs,weights in Series:
  Lfx256:256, 361472
  Fc136:136, 34952
Total weights = 396424
Built network:[1,36,0,1[C3,3Ft16]Mp3,3Lfys64Lfx96Lrx96Lfx256Fc136] from
request [Lfx256 O1c111]
Training parameters:
  Debug interval = 0, weights = 0.1, learning rate = 0.001, momentum=0.5
null char=135

On Tue, Jul 9, 2019 at 1:41 PM fady taher <fadytahe...@gmail.com> wrote:

> will try and feed you back, thanks alot
>
> On Tue, Jul 9, 2019 at 1:40 PM Shree Devi Kumar <shreesh...@gmail.com>
> wrote:
>
>> I don't think I had any (or enough) plus superscript in my training_text.
>>
>> Treat this as an example and train as per the data you expect.
>>
>> On Tue, 9 Jul 2019, 17:01 fady taher, <fadytahe...@gmail.com> wrote:
>>
>>> Dear Shree, thanks for you quick response ... I gave a try to the
>>> submodule ... it gave results to *Cr⁶⁶ *while it should have been *Cr *⁶*⁺
>>> *any ideas if this is solvable *?*
>>>
>>>
>>> Regards
>>>
>>> On Tue, Jul 9, 2019 at 1:14 PM Shree Devi Kumar <shreesh...@gmail.com>
>>> wrote:
>>>
>>>> If you use the submodule you will save time taken in running the
>>>> 8-makedata_layernew.sh script. However, if you have modified
>>>> training_text or want to checkout the full process, run the script.
>>>>
>>>> On Tue, Jul 9, 2019 at 4:33 PM fady taher <fadytahe...@gmail.com>
>>>> wrote:
>>>>
>>>>> I can see that you have mentioned
>>>>>>
>>>>> "IT IS NOT REQUIRED TO RUN THIS SCRIPT AS THE OUTPUT FOLDERS ARE
>>>>> PROVIDED AS A SUBMODULE IN THE REPO. Use git submodule update --init to
>>>>> download the files (approx 600MB)."
>>>>> so, should I just use the eng.traineddata found in tessdata folder ?
>>>>>
>>>>>
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