update README.md

README.md

@@ -111,3 +111,9 @@ result = test_dataset.map(evaluate, batched=True, batch_size=8)
 print("WER: {:2f}".format(100 * wer.compute(predictions=result["pred_strings"], references=result["sentence"])))
 ```
 **Test Result**: 43.7 %
+
+## Training
+
+The Common Voice `train` and `validation` datasets were used for training.
+
+The script used for training can be found [here](https://github.com/jimregan/wav2vec2-sprint/blob/main/irish/fine-tune-xlsr-wav2vec2-on-irish-asr-with-transformers.ipynb)