Update README.md

README.md

@@ -15,11 +15,11 @@ metrics:
 pipeline_tag: text-classification
 ---
 
-# Model Trained Using AutoTrain
-
+# 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
 
-## Validation Metrics
+## Validation metrics
 loss: 1.798496961593628
 
 f1_macro: 0.22749841710333368
@@ -32,7 +32,7 @@ precision_macro: 0.2675680367049088
 
 precision_micro: 0.26653696498054474
 
-precision_weighted: 0.277737992326741
+precision_weighted: 0.277737992326741 
 
 recall_macro: 0.2594956658786446