Update README.md

README.md

@@ -16,7 +16,7 @@ language:
 This model has been optimized for French and English language processing while minimizing overall size. To achieve this, I only retained relevant parameters and tokens specific to these two languages, ensuring that performance remains as good as the original mt5.
 
 ## Model Details
-I used a method outlined in a [blog post](https://towardsdatascience.com/how-to-adapt-a-multilingual-t5-model-for-a-single-language-b9f94f3d9c90) by David Dale to downsize the multilingual T5 model for French and English use cases specifically. By utilizing the giga_fren dataset, I was able to successfully reduce the total number of tokens and decrease both the model and tokenizer sizes by 38% and 80% respectively.
+I used a method outlined in a [blog post](https://towardsdatascience.com/how-to-adapt-a-multilingual-t5-model-for-a-single-language-b9f94f3d9c90) by David Dale to downsize the multilingual T5 model for French and English use cases specifically. By utilizing the giga_fren dataset, I was able to successfully reduce the total number of tokens and decrease both the model and tokenizer sizes by 67% and 80% respectively.
 
 ### Model Description
 
@@ -24,7 +24,7 @@ I used a method outlined in a [blog post](https://towardsdatascience.com/how-to-
 - **Model type:** mt5
 - **Language(s) (NLP):** French and English
 - **License:** Apache 2.0
-- **Generated from model:** mt5-large
+- **Generated from model:** mt5-small
 
 ### Model Sources [optional]