Update README.md

README.md

@@ -13,7 +13,7 @@ metrics:
 
 # End-to-end SLU model for Timers and Such
 
-Attention-based RNN sequence-to-sequence model for Timers and Such
+Attention-based RNN sequence-to-sequence model for Timers and Such trained on the `train-real` subset. Achieves  86.7% accuracy on `test-real`.
 
 #### Referencing SpeechBrain
 
@@ -24,7 +24,7 @@ title = {SpeechBrain},
 year = {2021},
 publisher = {GitHub},
 journal = {GitHub repository},
-howpublished = {\\\\url{https://github.com/speechbrain/speechbrain}},
+howpublished = {\\\\\\\\url{https://github.com/speechbrain/speechbrain}},
 }
 ```