Update README.md

README.md

@@ -57,7 +57,7 @@ Clone the repository to download the model:
 git clone https://huggingface.co/projecte-aina/stt-ca-citrinet-512
 ```
 
-Given that `NEMO_PATH` is the path that points to the downloaded stt-ca-citrinet-512.nemo file, to do inference over a set of `.wav` files you should:
+Given that `NEMO_PATH` is the path that points to the downloaded `stt-ca-citrinet-512.nemo` file, to do inference over a set of `.wav` files you should:
 
 ```python
 # Load the model
@@ -77,6 +77,10 @@ print(transcriptions)
 
 ```
 
+## Training data
+
+This model has been trained on the [Common Voice 11.0](https://commonvoice.mozilla.org/en/datasets) training split.
+
 ## Training
 ### Data preparation
 We have processed [Common Voice 11.0](https://commonvoice.mozilla.org/en/datasets) using the NeMo toolkit. We used [get_commonvoice_data.py](https://github.com/NVIDIA/NeMo/blob/main/scripts/dataset_processing/get_commonvoice_data.py) to process the manifests and made a subsequent data cleaning step.
@@ -85,6 +89,8 @@ After cleaning the dataset and normalizing the `ñ` character to `ny`, we have u
 ```python
 ['c', ' ', 'ó', 'g', 'a', 'o', 'ü', 'v', 'p', 't', "'", '—', 'f', 'k', 'à', 'ï', 'í', 'ú', 'd', 'l', 'z', 'é', 'w', 'm', 'r', 'n', 'y', '-', 'u', 'i', 'h', 'ç', 'e', '·', 'q', 'è', 'ò', 'j', 'x', 's', 'b']
 ```
+## Evaluation
+After evaluation on the test split of Common Voice 11.0 we have obtained a WER of 6.684.
 
 ## Additional information