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  # FNet base model
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  Pretrained model on English language using a masked language modeling (MLM) and next sentence prediction (NSP) objective. It was
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- introduced in [this paper](https://arxiv.org/abs/2105.03824) and first released in [this repository](https://github.com/google-research/f_net).
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  This model is uncased: it does not make a difference between english and English. The model achieves 0.58 accuracy on MLM objective and 0.80 on NSP objective.
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  Disclaimer: This model card has been written by [gchhablani](https://huggingface.co/gchhablani).
 
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  # FNet base model
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  Pretrained model on English language using a masked language modeling (MLM) and next sentence prediction (NSP) objective. It was
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+ introduced in [this paper](https://arxiv.org/abs/2105.03824) and first released in [this repository](https://github.com/google-research/google-research/tree/master/f_net).
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  This model is uncased: it does not make a difference between english and English. The model achieves 0.58 accuracy on MLM objective and 0.80 on NSP objective.
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  Disclaimer: This model card has been written by [gchhablani](https://huggingface.co/gchhablani).