Azure AI Document Intelligence
An Azure service that turns documents into usable data. Previously known as Azure Form Recognizer.
1,856 questions
Model is failed with internal server error
![](data:image/svg+xml, %3Csvg xmlns='http://www.w3.org/2000/svg' height='64' class='font-weight-bold' style='font: 600 30.11764705882353px "SegoeUI", Arial' width='64'%3E%3Ccircle fill='hsl(12.8, 87%, 11%)' cx='32' cy='32' r='32' /%3E%3Ctext x='50%25' y='55%25' dominant-baseline='middle' text-anchor='middle' fill='%23FFF' %3E3%3C/text%3E%3C/svg%3E)
36397295
6
Reputation points
When I attempt to tag the entire yellow highlighted data in a table single row, the model encounters an internal server error. Is there a specific reason for this?
PFA for better understanding.
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![](data:image/svg+xml, %3Csvg xmlns='http://www.w3.org/2000/svg' height='64' class='font-weight-bold' style='font: 600 30.11764705882353px "SegoeUI", Arial' width='64'%3E%3Ccircle fill='hsl(195.2, 4%, 28%)' cx='32' cy='32' r='32' /%3E%3Ctext x='50%25' y='55%25' dominant-baseline='middle' text-anchor='middle' fill='%23FFF' %3EVM%3C/text%3E%3C/svg%3E)
VasaviLankipalle-MSFT 18,386 Reputation points2023-05-30T22:23:33.95+00:00 Hi @36397295 , Thanks for using Microsoft Q&A Platform.
Could you please share the model and the API version you are using? Please elaborate more details so that we can reproduce it on out end. Thanks!
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36397295 6 Reputation points
2023-05-31T09:38:56.62+00:00 I am using the 31-08-2022 api version and Matteress_test Model.
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36397295 6 Reputation points
2023-05-31T09:42:31.6066667+00:00 Today I find when i train the neural network with same tagging then model was trained successfully but if i trained with Template type model then model failed with internal server error.
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VasaviLankipalle-MSFT 18,386 Reputation points
2023-05-31T22:35:38.39+00:00 Hi @36397295 , thanks for sharing this with us. I have reproduced the same on my end using custom template model I was able to train the model successfully. I have tried labeling the table row data using both shift select and region labeling methods.
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