Update README.md

README.md

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 ### Model Description
 
-This model is a fine-tuned version of the ALBERT-Large model designed for **emotion sentiment classification**. This model is capable of detecting six different emotional categories in text: **Anger**, **Disgust**, **Fear**, **Happiness**, **Sadness**, and **Surprise**. It achieves high performance on sentiment classification tasks, making it suitable for a variety of real-world applications such as emotion detection, content moderation, and sentiment analysis.
+This model is a fine-tuned version of the ALBERT-Large model designed for **emotion sentiment classification**, capable of detecting six different emotional categories in text: **Anger**, **Disgust**, **Fear**, **Happiness**, **Sadness**, and **Surprise**. It achieves high performance on sentiment classification tasks, making it suitable for a variety of real-world applications such as emotion detection, content moderation, and sentiment analysis.
 
 ## Evaluation