Update README.md

README.md

@@ -37,7 +37,7 @@ When using this dataset, make sure that the audio has a sampling rate of 16kHz.I
 
 ## Training and evaluation data
 
-The model was trained on version 7 of the Luganda dataset of Mozilla common voices dataset. We used the train and validation dataset for training and the test dataset for validation. 
+The model was trained on version 7 of the Luganda dataset of Mozilla common voices dataset. We used the train and validation set for training and the test dataset for validation. The [training script](https://github.com/MusinguziDenis/Luganda-ASR/blob/main/wav2vec/notebook/Fine_Tune_W2V2_BERT_on_CV7_Luganda.ipynb) was adapted from this [transformers repo](https://huggingface.co/blog/fine-tune-w2v2-bert).
 
 ## Training procedure
 We trained the model on a 32 GB V100 GPU for 10 epochs using a learning rate of 5e-05. We used the AdamW optimizer.