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Ernie-3.0-large-chinese-finetuned-ner

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7548
  • Precision: 0.6997
  • Recall: 0.7621
  • F1: 0.7296
  • Accuracy: 0.9124

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.0
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295M params
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Dataset used to train gyr66/Ernie-3.0-large-chinese-finetuned-ner