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Update README.md

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@@ -12,7 +12,7 @@ Bag Of Words (BOW) is a simple and typical encoding for making statistical model
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  However BOW is a lossy compression that eliminates a very important feature of text: order
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  This model is trained to learn the most probable order of an unordered token sequence,
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- using a subset of the c4 dataset.
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  Currently, it is not very good. I might re-train on a larger subset of c4 later.
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  However BOW is a lossy compression that eliminates a very important feature of text: order
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  This model is trained to learn the most probable order of an unordered token sequence,
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+ using a subset of the c4 dataset, and can thus be seen as a "bag-of-words decoder".
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  Currently, it is not very good. I might re-train on a larger subset of c4 later.
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