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The finetuned XLM-RoBERTa (large-sized model) for Named Entity Recognition

This model was finetuned on the Czech invoice dataset.

Achieved results:

  eval_accuracy = 0.9618613

  eval_f1 = 0.7825681
  
  eval_precision = 0.7752081

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Token Classification

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