
# 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
{"language": ["zh"], "library_name": "transformers", "tags": ["generated_from_trainer"], "datasets": ["gyr66/privacy_detection"], "metrics": ["precision", "recall", "f1", "accuracy"], "pipeline_tag": "token-classification", "model-index": [{"name": "Ernie-3.0-large-chinese-finetuned-ner", "results": []}]}
transformers safetensors ernie token-classification generated_from_trainer zh dataset:gyr66/privacy_detection autotrain_compatible endpoints_compatible region:us