Update README.md

README.md

@@ -40,15 +40,20 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+This Whisper model has been fine-tuned specifically for the Tamil language using the Common Voice 11.0 dataset. It is designed to handle tasks such as speech-to-text transcription and language identification, making it suitable for applications where Tamil is a primary language of interest. The fine-tuning process focused on enhancing performance for Tamil, aiming to reduce the error rate in transcriptions and improve general accuracy.
 
 ## Intended uses & limitations
+Intended Uses:
+Speech-to-text transcription in Tamil
 
-More information needed
+Limitations:
+May not perform as well on languages or dialects that are not well-represented in the Common Voice dataset.
+Higher Word Error Rate (WER) in noisy environments or with speakers who have heavy accents not covered in the training data.
+The model is optimized for Tamil; performance in other languages may be suboptimal.
 
 ## Training and evaluation data
 
-More information needed
+The training data for this model consists of voice recordings in Tamil from the Mozilla-foundation/Common Voice 11.0 dataset. The dataset is a crowd-sourced collection of transcribed speech, ensuring diversity in terms of speaker accents, age groups, and speech styles.
 
 ## Training procedure