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---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: Ernie-3.0-large-chinese-finetuned-ner
results: []
datasets:
- gyr66/privacy_detection
language:
- zh
library_name: transformers
pipeline_tag: token-classification
---
# 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 |