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It would be very interesting to see how a complicated json structure can impact the model performance, but to make it short: Sure it is possible, you can pretty much fine tune the model to generate any text you want!
In pre-training the model only learns to generate OCR text strings based on images (no json at all), the example notebooks then use the pre-trained weights to fine-tune the model on various schemas (including json) for classification, entity extraction and question answering. I would recommend to follow the conventions of converting your json into an html-like structure and converting from/to json before/after calling the model but all of that is covered in the examples as well.
Good luck with your experiments, keep us posted about your results!
is it possible to train the model to generate structured output with custom json schema? Pleases help me ASAP
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