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Update README.md
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README.md
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@@ -51,4 +51,16 @@ for i, predicted_sentence in enumerate(predicted_sentences):
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print("-" * 100)
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print("Reference: ", test_dataset[i]["sentence"])
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print("Prediction:", predicted_sentence)
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```
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print("-" * 100)
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print("Reference: ", test_dataset[i]["sentence"])
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print("Prediction:", predicted_sentence)
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```
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**Test Result**:
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In the table below I report the Character Error Rate (CER) of the model tested on [TEDxJP-10K](https://github.com/laboroai/TEDxJP-10K) dataset.
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| Model | CER |
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| ------------- | ------------- |
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| Ivydata/wav2vec2-large-xlsr-53-japanese | **27.87%** |
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| jonatasgrosman/wav2vec2-large-xlsr-53-japanese | 34.18% |
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| vumichien/wav2vec2-large-xlsr-japanese | 37.72% |
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