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README.md
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| Sequence-to-sequence model with attention | 26.10
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| Neural Phrase-based Machine Translation [Huang et. al. (2017)](https://arxiv.org/abs/1706.05565) | 27.69
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| Neural Phrase-based Machine Translation + LM [Huang et. al. (2017)](https://arxiv.org/abs/1706.05565) | 28.07
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| t5-en-vi-small (pretraining, without training data) | **28.46** (cased)
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|t5-en-vi-small (fineturning with training data) | **31.74** (cased)
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|t5-en-vi-small (fineturning with training data) | **32.54** (uncased)
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#### Example Using
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| Sequence-to-sequence model with attention | 26.10
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| Neural Phrase-based Machine Translation [Huang et. al. (2017)](https://arxiv.org/abs/1706.05565) | 27.69
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| Neural Phrase-based Machine Translation + LM [Huang et. al. (2017)](https://arxiv.org/abs/1706.05565) | 28.07
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| t5-en-vi-small (pretraining, without training data) | **28.46** (cased) / **29.23** (uncased)
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|t5-en-vi-small (fineturning with training data) | **31.74** (cased) / **32.54** (uncased)
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#### Example Using
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