Update README.md

README.md

@@ -19,7 +19,7 @@ The Swedish National Archives presents an end-to-end Handwritten Text Recognitio
 
 2. **SATRN HTR Model**: The pipeline incorporates a SATRN (Spatial Attention Transformer Networks) model, trained using MMOCR (OpenMMLab's OCR toolbox). SATRN is a state-of-the-art model for irregular scene-text recognition, which makes it an excellent choice for HTR, given that handwriting is highly irregular. The SATRN model consists of a shallow CNN, a 2D-transformer encoder, and a transformer decoder that works on the character level. It is trained on about a million text-line images of running-text handwritten documents ranging from the mid 17th century to the late 19th century.
 
-The models are designed to provide a generic pipeline for handwritten text recognition, offering robust performance for running-text documents from the mid 16th to the late 19th century.
+The models are designed to provide a generic pipeline for handwritten text recognition, offering robust performance for running-text documents from the mid 17th to the late 19th century.
 
 ## Evaluation