Update README.md

README.md

@@ -22,7 +22,7 @@ This model is a fine-tuned version of [google/pegasus-cnn_dailymail](https://hug
 
 ## Model description
 
-The **pegasus_xlsum** is a state-of-the-art model fine-tuned on the **English** subset of the [**csebuetnlp/xlsum**](https://huggingface.co/datasets/csebuetnlp/xlsum) dataset. This data source is one of the most comprehensive and diverse sets available, originally composed of **1.35 million** professional article-summary pairs sourced from BBC across 45 languages. Despite its multilingual nature, we intentionally selected the **English** language subset, consisting of approximately **330,000** records, as the focus for our fine-tuning process.
+The **pegasus_xlsum** is a state-of-the-art model fine-tuned on the **English** subset of the [**csebuetnlp/xlsum**](https://huggingface.co/datasets/csebuetnlp/xlsum) dataset. This dataset is one of the most comprehensive and diverse sets available, originally composed of **1.35 million** professional article-summary pairs sourced from the BBC across 45 languages. Despite its multilingual nature, we intentionally selected the **English** language subset, consisting of approximately **330k** records, as the focus for our fine-tuning process.
 
 The goal was to adapt the model for the text summarization task, and we're thrilled to report that the fine-tuned **pegasus_xlsum** model exceeded our expectations. It outperformed the established [**csebuetnlp/mT5_multilingual_XLSum**](https://huggingface.co/csebuetnlp/mT5_multilingual_XLSum) model in terms of [**ROUGE**](https://huggingface.co/spaces/evaluate-metric/rouge) scores, demonstrating superior summary generation capabilities. The **pegasus_xlsum** model leverages the powerful PEGASUS architecture, proving its efficiency and effectiveness in handling **English** text summarization tasks.