Update README.md

README.md

@@ -4,6 +4,7 @@ language:
 - ta
 - fr
 - ml
+- hi
 pipeline_tag: voice-activity-detection
 base_model: facebook/wav2vec2-base
 ---
@@ -14,7 +15,7 @@ This model performs emotion classification from voice data using fine-tuned `Wav
 
 ## Model Details
 
-- **Developed by:** [Your Name/Organization]
+- **Developed by:** [Lingesh]
 - **Model type:** Fine-tuned Wav2Vec2Model
 - **Language(s):** English (en), Tamil (ta), French (fr), Malayalam (ml)
 - **License:** [Choose a license]
@@ -127,4 +128,4 @@ Evaluation was performed on a held-out test set from the CREMA-D and RAVDESS dat
 
 ## Metrics
 Accuracy: 85%
-F1-score: 82% (weighted average across all classes)
+F1-score: 82% (weighted average across all classes)