Update README.md

README.md

@@ -93,7 +93,7 @@ After cleaning the dataset and normalizing the `ñ` character to `ny`, we have u
 ### Training procedure
 This model was trained starting from a pre-trained Spanish [stt-es-citrinet-512](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/stt_es_citrinet_512) model. The initial learning rate was set to 0.005 and the minimum lr for weight decay was set to 1e-7. 
 
-The model was trained for 90 steps and then continued training for another 90 steps starting from a learning rate of 0.0001.
+The model was trained for 90 steps and then continued training for another 90 steps starting from a learning rate of 1e-4.
 
 ## Evaluation
 After evaluation on the test split of Common Voice 11.0 we have obtained a WER of 6.684.