Update README.md

README.md

@@ -19,13 +19,15 @@ A MultiModal architecture model that was created and finetuned jointly by concat
 Hubert model was fine-tuned with a classification head on preprocessed audio and emotion labels in supervised manner.
 BERT was trained on text transcrition embeddings.
 
-- **Developed by:** [More Information Needed]
+Model can accurately recognize emotions classes- Angry,Sad,Fearful,Happy,Disgusted,Surprised,Calm with ~80% accuracy.
+
+
+- **Developed by:** [https://www.linkedin.com/in/sharmavaruncs/]
 - **Funded by [optional]:** [More Information Needed]
 - **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
+- **Model type:** [MultiModal - Text and Audio based]
+- **Language(s) (NLP):** [NLP, Speech processing]
+- **Finetuned from model [optional]:** [https://huggingface.co/docs/transformers/model_doc/hubert]
 
 ### Model Sources [optional]