readme updated with model performances

README.md

@@ -25,15 +25,26 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+his model is designed to analyze text and classify it into different emotional categories, such as joy, sadness, anger, etc. It has been trained on a dataset specifically labeled with emotions, allowing it to identify the emotional tone of the input text. The model works by processing the text and predicting which emotion best fits the given context
 
 ## Intended uses & limitations
 
 More information needed
 
+## limitations
+- still this model is confused between fear and anger he model may confuse "fear" and "anger" because both emotions can be expressed in similar ways, especially in situations involving frustration, stress, or danger. Additionally, the language used to express these emotions might overlap, such as words like "nervous," "frustrated," or "threatened," which can be interpreted as either fear or anger depending on the context. This overlap in linguistic cues can make it challenging for the model to distinguish between the two emotions., joy & love
+- similarely for love & Joy
+  
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/673b3bb18ad55753067c0159/XXcil4Db3y9NgubwY3ecm.png)
+
 ## Training and evaluation data
+I've used emotion data available on huggingface 
+Training data: emotion['train']
+evaluation data: emotion['evaluation']
 
-More information needed
+## confusion matrix:
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/673b3bb18ad55753067c0159/Ny67eKNot-4Xir3lvtOoY.png)
 
 ## Training procedure