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@@ -20,6 +20,9 @@ It achieves the following results on the evaluation set:
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  - Loss: 0.0585
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  - F1: 0.9536
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  ## Model Usage
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  ```python
 
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  - Loss: 0.0585
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  - F1: 0.9536
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+ The best scores for Named Entity Recognition (NER) on CoNLL 2003 (English) is 94.6% from [the ConLL2003 NER benchmark]
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+ (https://paperswithcode.com/sota/named-entity-recognition-ner-on-conll-2003), This fine-tuned Model has achieved 95.36%.
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  ## Model Usage
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  ```python