Update README.md

README.md

@@ -9,9 +9,9 @@ task_ids:
 - sentiment-classification
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-# BERT-base-uncased Fine-tuned for Sentiment Analysis
+# BERT ForSequenceClassification Fine-tuned for Sentiment Analysis
 
-This model is a fine-tuned version of the `bert-base-uncased` model for sentiment analysis. 
+This model is a fine-tuned version of the `BERT ForSequenceClassification` model for sentiment analysis. 
 It is trained on a dataset of texts with six different emotions: anger, fear, joy, love, sadness, and surprise.
 The model was trained and tested on a labeled dataset from [Kaggle](https://www.kaggle.com/datasets/praveengovi/emotions-dataset-for-nlp).