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@@ -12,5 +12,5 @@ Performance in terms of [sacrebleu](https://huggingface.co/docs/datasets/v1.5.0/
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  * num_train_epochs=1
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  # Thoughts
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- * Model `Helsinki-NLP/opus-mt-en-vi` is small (around 260MB), and can be easily deployed to a cheap server (e.g., EC2 t2.medium) without CPU
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  * Easier and much faster to train compared to t5 or byt5.
 
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  * num_train_epochs=1
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  # Thoughts
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+ * Model `Helsinki-NLP/opus-mt-en-vi` is small (around 260MB), and can be easily deployed to a cheap server (e.g., EC2 t2.medium) without a GPU
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  * Easier and much faster to train compared to t5 or byt5.