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@@ -10,7 +10,7 @@ metrics:
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  - f1
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  - accuracy
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  model-index:
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- - name: bert-finetuned-ner
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  results:
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  - task:
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  name: Token Classification
@@ -37,7 +37,7 @@ model-index:
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # bert-finetuned-ner
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the conll2003 dataset.
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  It achieves the following results on the evaluation set:
 
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  - f1
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  - accuracy
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  model-index:
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+ - name: bert-finetuned-pos
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  results:
15
  - task:
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  name: Token Classification
 
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # bert-finetuned-pos
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the conll2003 dataset.
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  It achieves the following results on the evaluation set: