Update README.md
Browse filesSmall grammatical fix.
README.md
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- Cosine embedding loss: the model was also trained to generate hidden states as close as possible as the BERT base
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model.
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-
This way, the model learns the same inner representation of the English language
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faster for inference or downstream tasks.
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## Intended uses & limitations
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- Cosine embedding loss: the model was also trained to generate hidden states as close as possible as the BERT base
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model.
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+
This way, the model learns the same inner representation of the English language as its teacher model, while being
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faster for inference or downstream tasks.
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## Intended uses & limitations
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