Vu Minh Chien
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update readme
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README.md
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@@ -105,7 +105,7 @@ def evaluate(batch):
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result = test_dataset.map(evaluate, batched=True, batch_size=8)
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print("WER: {:2f}".format(100 * wer.compute(predictions=result["pred_strings"], references=result["sentence"])))
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```
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**Test Result**: 30.
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## Training
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The Common Voice `train`, `validation` datasets and Japanese speech corpus `basic5000` datasets were used for training.
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The script used for training can be found [here](https://colab.research.google.com/drive/1ZTxoYzgOotUjcyoBf0m8gZj5Kcmu2yGU)
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result = test_dataset.map(evaluate, batched=True, batch_size=8)
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print("WER: {:2f}".format(100 * wer.compute(predictions=result["pred_strings"], references=result["sentence"])))
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```
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**Test Result**: 30.837%
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## Training
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The Common Voice `train`, `validation` datasets and Japanese speech corpus `basic5000` datasets were used for training.
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The script used for training can be found [here](https://colab.research.google.com/drive/1ZTxoYzgOotUjcyoBf0m8gZj5Kcmu2yGU)
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