Update README.md

README.md

@@ -21,18 +21,24 @@ This model performs Handwritten Text Recognition in Austrian German.
 ## Model description
 
 The model has been trained using the PyLaia library on the [NewsEye / READ OCR training dataset from Austrian Newspapers (19th C.)](https://zenodo.org/record/3387369) dataset.
+
 Training images were resized with a fixed height of 128 pixels, keeping the original aspect ratio.
 
+| split | N lines |
+| ----- | ------: |
+| train |  52,834 |
+| val   |   4,667 |
+
+An external 6-gram character language model can be used to improve recognition. The language model is trained on the text from the NorHand v3 training set.
+
 ## Evaluation results
 
 The model achieves the following results:
 
-| Split   |   CER (%) |   WER (%) |   Support |
-|---------|-----------|-----------|-----------|
-| train   |      1.62 |      5.63 |     38891 |
-| val     |      1.82 |      7.77 |      3282 |
-
-Results can be improved by combining PyLaia with a n-gram language model. 
+| set   | Language model | CER (%)    | WER (%) | N lines   |
+|:------|:---------------|:----------:|:-------:|----------:|
+| val   | no             | 1.82       |   1.77  |     4,667 |
+| val   | yes            | 7.77       |   7.01  |     4,667 |
 
 ## How to use