Update README.md

README.md

@@ -92,19 +92,19 @@ model-index:
 
 ![banner](images/sage_banner.jpg)
 
-### Summary
+## Summary
 
 The model corrects spelling and punctuation errors and typos by bringing all the words in the text to the norm of the Russian language.
 Corrector had been trained based on the model [FRED-T5-large](https://huggingface.co/ai-forever/FRED-T5-large). 
 An extensive dataset with “artificial” errors was taken as a training corpus: the corpus was assembled on the basis of the Russian-language Wikipedia and transcripts of Russian-language videos, then typos and spelling errors were automatically introduced into it using the library [SAGE](https://github.com/ai-forever/sage).
 
-### Public references
+## Public references
 - [SAGE library announcement](https://youtu.be/yFfkV0Qjuu0), DataFest 2023
 - [Paper about synthetic error generation methods](https://www.dialog-21.ru/media/5914/martynovnplusetal056.pdf), Dialogue 2023
 - [SAGE EACL 2024 paper](https://aclanthology.org/2024.findings-eacl.10/)
 
 
-### Examples
+## Examples
 | Input | Output |
 | --- | --- |
 | И не чсно прохожим в этот день непогожйи почему я веселый такйо | И не ясно прохожим в этот день непогожий, почему я веселый такой. |
@@ -187,6 +187,10 @@ print(res)
 # ["И не ясно прохожим в этот день непогожий, почему я веселый такой."]
 ```
 
+## Limitations
+- The model is indended to be fine-tuned on sets with natural errors. The realesed model is a pre-train and pre-train task is different from the typicall spellchecking in terms of density of the noise in a corpus
+- 
+
 ## Resources
 - [SAGE library](https://github.com/ai-forever/sage), GitHub
 - [sage-fredt5-large](https://huggingface.co/ai-forever/sage-fredt5-large), HuggingFace