Update README.md

README.md

@@ -21,6 +21,16 @@ The model has been trained using an efficient few-shot learning technique that i
 
 1. Fine-tuning a [Sentence Transformer](https://www.sbert.net) with contrastive learning.
 2. Training a classification head with features from the fine-tuned Sentence Transformer.
+   
+This model has been fine-tuned for the classification of daily notes. It is a multiclass classifier capable of categorizing text inputs into six distinct classes:  
+- **Cita** (Appointment)  
+- **Comprar** (Shopping)  
+- **Trabajo** (Work)  
+- **Recordatorio** (Reminder)  
+- **Estudios** (Studies)  
+- **Hogar** (Home)  
+
+**Note:** While the model has been fine-tuned specifically for the Spanish language, it also performs well with notes written in English.  
 
 ## Model Details