Update README.md

README.md

@@ -12,10 +12,10 @@ metrics:
 - f1
 ---
 
-# Multilabel Emotion Classification Model (DeBERTa-v3-large)
+# Multilabel Emotion Classification Model (DeBERTa-v3-base)
 
 ## Model Description
-This model is fine-tuned DeBERTa-v3-large for multilabel emotion classification. It can predict multiple emotions simultaneously from text with superior performance using disentangled attention mechanisms.
+This model is fine-tuned DeBERTa-v3-base for multilabel emotion classification. It can predict multiple emotions simultaneously from text with superior performance using disentangled attention mechanisms.
 
 ## Emotions Detected
 amusement, anger, annoyance, caring, confusion, disappointment, disgust, embarrassment, excitement, fear, gratitude, joy, love, sadness