final edit

Author: laujan

articles/ai-services/document-intelligence/how-to-guides/compose-custom-models.md

@@ -123,7 +123,7 @@ See [Document Intelligence Studio: labeling as tables](../concept-custom-label.m
 Training with labels leads to better performance in some scenarios. To train with labels, you need to have special label information files (*\<filename\>.pdf.labels.json*) in your blob storage container alongside the training documents.
 
 Label files contain key-value associations that a user enters manually and are needed for labeled data training. However, not every source file needs to have a corresponding label file. Source files without labels are treated as ordinary training documents. We recommend five or more labeled files for reliable training. You can use a UI tool like [Document Intelligence Studio](https://formrecognizer.appliedai.azure.com/studio/customform/projects) to generate these files.
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 Label files contain key-value associations that a user entered manually. The files are needed for labeled data training, but not every source file needs to have a corresponding label file. Source files without labels are treated as ordinary training documents. We recommend five or more labeled files for reliable training. You can use a UI tool like [Document Intelligence Studio](https://formrecognizer.appliedai.azure.com/studio/customform/projects) to generate these files.
 
 Once you have your label files, you can include them with by calling the training method with the *useLabelFile* parameter set to `true`.