Update README.md

README.md

@@ -22,14 +22,14 @@ This model is a fine-tuned version of [google/pegasus-cnn_dailymail](https://hug
 
 ## Model description
 
-Our model, pegasus_xlsum, is a state-of-the-art model fine-tuned on the English subset of the 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.
+**pegasus_xlsum** is a state-of-the-art model fine-tuned on the **English** subset of the **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 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 model in terms of 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.
+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** model in terms of **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.
 
 
 ## Intended uses & limitations
 
-Our intention with pegasus_xlsum is to provide a reliable, high-performance solution for English text summarization, making the most of the rich, professional, and diverse source dataset it was trained on. We hope you find this model as useful in your applications as we found it in our experiments.
+**pegasus_xlsum** is to provide a reliable, high-performance solution for **English** text summarization, making the most of the rich, professional, and diverse source dataset it was trained on. We hope you find this model as useful in your applications as we did in our experiments.
 
 
 
@@ -42,10 +42,10 @@ Our intention with pegasus_xlsum is to provide a reliable, high-performance solu
 
 | Metric | Score |
 |--------|-------|
-| ROUGE-1 F1 | 0.386277 |
-| ROUGE-2 F1 | 0.166917 |
-| ROUGE-L F1 | 0.301018	|
-| ROUGE-LSUM F1 | 0.300885	|
+| **ROUGE-1 F1** | 0.391215 |
+| **ROUGE-2 F1** | 0.174674 |
+| **ROUGE-L F1** | 0.308941	|
+| **ROUGE-LSUM F1** | 0.308923	|
 
 ## Training procedure