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Update README.md

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@@ -53,7 +53,7 @@ model = AutoModel.from_pretrained("nlpaueb/sec-bert-base")
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  | Model | Masked token | Predictions |
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  | ---------------------------------- | ------------ | ------------ |
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  | Total net sales [MASK] 2% or $5.4 billion during 2019 compared to 2018.
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- | **BERT-BASE-UNCASED** | decreased | ('increased', '0.678'), ('decreased', '0.282'), ('declined', '0.017'), ('grew', '0.016'), ('rose', '0.004')
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  | **SEC-BERT-BASE** | decreased | ('increased', '0.678'), ('decreased', '0.282'), ('declined', '0.017'), ('grew', '0.016'), ('rose', '0.004')
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  | **SEC-BERT-NUM** | decreased | ('increased', '0.678'), ('decreased', '0.282'), ('declined', '0.017'), ('grew', '0.016'), ('rose', '0.004')
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  | **SEC-BERT-SHAPE** | decreased | ('increased', '0.678'), ('decreased', '0.282'), ('declined', '0.017'), ('grew', '0.016'), ('rose', '0.004')
 
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  | Model | Masked token | Predictions |
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  | ---------------------------------- | ------------ | ------------ |
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  | Total net sales [MASK] 2% or $5.4 billion during 2019 compared to 2018.
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+ | **BERT-BASE-UNCASED** | decreased | ('increased', '0.221')<br>('were', '0.131')<br>('are', '0.103')<br>('rose', '0.075')<br>('of', '0.058')
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  | **SEC-BERT-BASE** | decreased | ('increased', '0.678'), ('decreased', '0.282'), ('declined', '0.017'), ('grew', '0.016'), ('rose', '0.004')
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  | **SEC-BERT-NUM** | decreased | ('increased', '0.678'), ('decreased', '0.282'), ('declined', '0.017'), ('grew', '0.016'), ('rose', '0.004')
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  | **SEC-BERT-SHAPE** | decreased | ('increased', '0.678'), ('decreased', '0.282'), ('declined', '0.017'), ('grew', '0.016'), ('rose', '0.004')