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Update README.md
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README.md
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@@ -35,6 +35,8 @@ It achieves the following results on the evaluation set:
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- Loss: 0.4674
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- Accuracy: 0.8945
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## Model description
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More information needed
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- Loss: 0.4674
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- Accuracy: 0.8945
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The model was fine-tuned to compare [google/fnet-base](https://huggingface.co/google/fnet-base) as introduced in [this paper](https://arxiv.org/abs/2105.03824) against [bert-base-cased](https://huggingface.co/bert-base-cased).
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## Model description
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More information needed
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