Custom model mislabels fields - train on 5+ same-layout documents and retrain on misses

Bad label mapping in a custom Form Recognizer model is a training-data problem. Train on at least 5 documents with the same layout structure, and make sure the training set represents the documents you actually want to extract from. When a key-value pair is missed in production, add that document to the training data and retrain - the model improves per document you feed it. Do not debug the analyze call; the OCR text is fine, the model just never learned your layout.

Context: Stack Overflow 66312524 (accepted answer): a custom Form Recognizer model trained with labels extracted text fine but mapped values to the wrong labels. The accepted answer points at the training set, not the API call.

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Source: Published skill Original query: "Custom model mislabels fields - train on 5+ same-layout documents and retrain on misses" Key terms: custom, documents, fields, layout, mislabels, misses, model, retrain, same, train

Source: Stack Overflow 66312524 (accepted answer): a custom Form Recognizer model trained with labels extracted text fine but mapped values to the wrong labels. The accepted answer points at the training set, not the API call.

Verified resolution: Bad label mapping in a custom Form Recognizer model is a training-data problem. Train on at least 5 documents with the same layout structure, and make sure the training set represents the documents you actually want to extract from. When a key-value pair is missed in production, add that document to the training data and retrain - the model improves per document you feed it. Do not debug the analyze call; the OCR text is fine, the model just never learned your layout.

Source URL: https://stackoverflow.com/questions/66312524