update custom model training limit

Author: luzhang06

articles/applied-ai-services/form-recognizer/includes/input-requirements.md

@@ -12,9 +12,11 @@ ms.custom: ignite-fall-2021
 * For best results, provide one clear photo or high-quality scan per document.
 * Supported file formats: JPEG/JPG, PNG, BMP, TIFF, and PDF (text-embedded or scanned). Text-embedded PDFs are best to eliminate the possibility of error in character extraction and location. Additionally, the newest API version `2022-06-30-preview` supports Microsoft Word (DOCX), Excel (XLS), PowerPoint (PPT), and HTML files in Read model.
 * For PDF and TIFF, up to 2000 pages can be processed (with a free tier subscription, only the first two pages are processed).
-* The file size must be less than 500 MB for paid (S0) tier and 4 MB for free (F0) tier.
+* The file size for analyzing must be less than 500 MB for paid (S0) tier and 4 MB for free (F0) tier.
 * Image dimensions must be between 50 x 50 pixels and 10,000 x 10,000 pixels.
 * PDF dimensions are up to 17 x 17 inches, corresponding to Legal or A3 paper size, or smaller.
-* * The minimum height of the text to be extracted is 12 pixels for a 1024X768 image. This dimension corresponds to about eight font point text at 150 DPI.
-* The total size of the training data is 500 pages or less.
 * If your PDFs are password-locked, you must remove the lock before submission.
+* The minimum height of the text to be extracted is 12 pixels for a 1024X768 image. This dimension corresponds to about eight font point text at 150 DPI.
+* For custom model training, the maximum number of pages for training data is 500 for template model and 50,000 for neural model.
+* For custom model training, the total size of training data is 50MB for template model and 1GB for neural model.
+