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update readme

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@@ -11,6 +11,6 @@ The aim is to compress the mT5-small model to leave only the Ukrainian language
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  Reproduced the similar result (but with another language) from [this](https://towardsdatascience.com/how-to-adapt-a-multilingual-t5-model-for-a-single-language-b9f94f3d9c90) medium article.
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  Results:
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- - 300M params -> 75M (75%)
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  - 250K tokens -> 8900 tokens
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  - 1.1GB size model -> 0.3GB size model
 
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  Reproduced the similar result (but with another language) from [this](https://towardsdatascience.com/how-to-adapt-a-multilingual-t5-model-for-a-single-language-b9f94f3d9c90) medium article.
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  Results:
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+ - 300M params -> 75M params (75%)
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  - 250K tokens -> 8900 tokens
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  - 1.1GB size model -> 0.3GB size model