Update README.md

README.md

@@ -15,9 +15,12 @@ metrics:
 pipeline_tag: text-classification
 ---
 
-# Model use case
-Big Bird Flight is fine-tuned from Google's Big Bird model which is designed for long text sentiment analysis. Big Bird Flight was trained on 2598 flight experience reviews with a 10-point rating. The model uses 10-point ordinal scale to capture emotion embedded within text data with 1 being extremely negative and 10 being extremely positive. This achor provides richer information for sentiment analysis compared to a binary sentiment class (e.g., positive/negative).
-- Problem type: Text Classification
+# Model description
+Big Bird Flight is a fine-tuned version of Google’s BigBird model, optimised for long-text sentiment analysis in the context of airline passenger experiences. It was trained on 2,598 flight review texts, each annotated with a 10-point ordinal sentiment rating ranging from 1 (extremely negative) to 10 (extremely positive).
+
+Big Bird Flight captures nuanced emotional gradients in text, offering richer sentiment analysis than conventional binary classification (e.g., positive vs. negative). This makes it particularly useful for applications requiring fine-grained sentiment understanding from lengthy or detailed customer feedback.
+- Use case: text classification
+- Sentiment class: 1 (extremely negative) to 10 (extremely positive)
 
 ## Validation metrics
 loss: 1.798496961593628