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Update README.md

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@@ -27,16 +27,16 @@ model = AutoModelForTokenClassification.from_pretrained("busecarik/bert-loodos-s
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  ## Model performances on SUNLP-NER-Twitter test set (metric: seqeval)
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  Precision|Recall|F1
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  -|-|-
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- 83.46|85.65|84.53
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  Classification Report
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  Entity|Precision|Recall|F1
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  -|-|-|-
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- LOCATION|0.82|0.71|0.76
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- MONEY|0.92|0.76|0.83
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- ORGANIZATION|0.82|0.87|0.85
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- PERSON|0.91|0.91|0.91
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- PRODUCT|0.57|0.33|0.42
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- TIME|0.86|0.83|0.85
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- TVSHOW|0.65|0.63|0.64
 
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  ## Model performances on SUNLP-NER-Twitter test set (metric: seqeval)
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  Precision|Recall|F1
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  -|-|-
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+ 84.66|84.36|84.51
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  Classification Report
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  Entity|Precision|Recall|F1
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  -|-|-|-
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+ LOCATION|0.74|0.78|0.76
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+ MONEY|0.93|0.82|0.87
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+ ORGANIZATION|0.83|0.81|0.82
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+ PERSON|0.90|0.92|0.91
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+ PRODUCT|0.55|0.50|0.52
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+ TIME|0.91|0.87|0.89
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+ TVSHOW|0.63|0.58|0.54