Update README.md

README.md

@@ -4,7 +4,7 @@ This project fine-tunes the `google/mt5-small` model on the BBC Arabic news data
 
 ## Introduction
 
-Harnessing the power of the `google/mt5-small` model, this project aims to leverage its multilingual processing capabilities for Arabic text summarization. By fine-tuning the model on the BBC Arabic news dataset, we enhance its ability to generate accurate and concise summaries of Arabic news articles. The project employs the Transformers library for an efficient training loop and uses ROUGE scores as an evaluation metric to ensure high-quality summaries. You can replicate this mode following the [Training Repo](https://github.com/yalsaffar/mt5-small-Arabic-Summarization)
+Harnessing the power of the `google/mt5-small` model, this project aims to leverage its multilingual processing capabilities for Arabic text summarization. By fine-tuning the model on the BBC Arabic news dataset, we enhance its ability to generate accurate and concise summaries of Arabic news articles. The project employs the Transformers library for an efficient training loop and uses ROUGE scores as an evaluation metric to ensure high-quality summaries. You can replicate this model following the [Training Repo](https://github.com/yalsaffar/mt5-small-Arabic-Summarization)
 
 ## Dataset