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ner-tutorial-2024

This model is a fine-tuned version of microsoft/deberta-v3-base on the conll2003 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.016900
  • Precision: 0.955075
  • Recall: 0.966005
  • F1: 0.960509
  • Accuracy: 0.992351
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Model size
184M params
Tensor type
F32
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Dataset used to train onionLad/ner-tutorial-2024