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--- |
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tags: |
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- generated_from_trainer |
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metrics: |
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- precision |
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- recall |
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- f1 |
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- accuracy |
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model-index: |
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- name: Ernie-3.0-large-chinese-finetuned-ner |
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results: [] |
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datasets: |
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- gyr66/privacy_detection |
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language: |
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- zh |
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library_name: transformers |
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pipeline_tag: token-classification |
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--- |
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# Ernie-3.0-large-chinese-finetuned-ner |
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This model was trained from scratch on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7548 |
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- Precision: 0.6997 |
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- Recall: 0.7621 |
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- F1: 0.7296 |
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- Accuracy: 0.9124 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
