udpated

README.md

@@ -103,7 +103,8 @@ print("Reference:", test_dataset["sentence"][:2])
 
 ## Evaluation
 
-The model can be evaluated as follows on the Indonesian test data of Common Voice.
+The model can be evaluated as follows or using this
+[notebook](https://github.com/cahya-wirawan/indonesian-speech-recognition/blob/main/XLSR_Wav2Vec2_for_Indonesian_Evaluation-Javanese.ipynb)
 
 ```python
 import torch
@@ -188,6 +189,11 @@ print("WER: {:2f}".format(100 * wer.compute(predictions=result["pred_strings"],
 
 ## Training
 
+[OpenSLR High quality TTS data for Javanese](https://openslr.org/41/) was used for training.
+The script used for training can be found [here](https://github.com/cahya-wirawan/indonesian-speech-recognition/blob/main/XLSR_Wav2Vec2_for_Indonesian_Evaluation-Javanese.ipynb) 
+and to [evaluate it](https://github.com/cahya-wirawan/indonesian-speech-recognition/blob/main/XLSR_Wav2Vec2_for_Indonesian_Evaluation-Javanese.ipynb)
+
+
 The Common Voice `train`, `validation`, and ... datasets were used for training as well as ... and ...  # TODO
 
 The script used for training can be found [here](https://github.com/cahya-wirawan/indonesian-speech-recognition)