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@@ -27,16 +27,16 @@ model = AutoModelForTokenClassification.from_pretrained("busecarik/berturk-sunlp
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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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- 85.08|84.46|84.77
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  Classification Report
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  Entity|Precision|Recall|F1
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  -|-|-|-
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- LOCATION|0.75|0.80|0.78
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- MONEY|0.74|0.59|0.65
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- ORGANIZATION|0.82|0.86|0.84
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- PERSON|0.94|0.91|0.92
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- PRODUCT|0.52|0.44|0.48
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- TIME|0.88|0.87|0.87
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- TVSHOW|0.65|0.58|0.61
 
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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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+ 82.96|82.42|82.69
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  Classification Report
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  Entity|Precision|Recall|F1
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  -|-|-|-
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+ LOCATION|0.70|0.80|0.74
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+ MONEY|0.80|0.71|0.75
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+ ORGANIZATION|0.78|0.86|0.78
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+ PERSON|0.90|0.91|0.91
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+ PRODUCT|0.44|0.47|0.45
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+ TIME|0.94|0.85|0.89
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+ TVSHOW|0.61|0.35|0.45