Update README.md

README.md

@@ -36,17 +36,18 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+This model is fine-tuned for general swahili speech recognition tasks.
 
 ## Intended uses & limitations
 
-More information needed
+The intention is to transcribe general swahili speeches. With further development, we'll further fine-tune the model for domain-specific (we are focused on hospital tasks) swahili conversations.
 
 ## Training and evaluation data
 
-More information needed
+We used swahili data provided by the common voice on hugging face. To appreciate the transformation we did on the data, you can read our [blog on data preparation](https://medium.com/@gitau_am/from-raw-data-to-accurate-speech-recognition-asr-my-journey-of-data-preparation-df3a1b0dee3a).
 
 ## Training procedure
+We also [documented](https://medium.com/@gitau_am/exploring-asr-model-development-fine-tuning-xls-r-wav2vec2-model-with-swahili-data-b95134d116b8) some lessons from the fine-tuning exercise.
 
 ### Training hyperparameters