| | --- |
| | library_name: transformers |
| | base_model: bert-base-chinese |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: NER_demo |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # NER_demo |
| | |
| | This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.0035 |
| | |
| | ## Model description |
| | |
| | More information needed |
| | |
| | ## Intended uses & limitations |
| | |
| | More information needed |
| | |
| | ## Training and evaluation data |
| | |
| | More information needed |
| | |
| | ## Training procedure |
| | |
| | ### Training hyperparameters |
| | |
| | The following hyperparameters were used during training: |
| | - learning_rate: 5e-05 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: linear |
| | - num_epochs: 6 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | No log | 1.0 | 7 | 0.3060 | |
| | | 0.6805 | 2.0 | 14 | 0.0752 | |
| | | 0.1039 | 3.0 | 21 | 0.0235 | |
| | | 0.1039 | 4.0 | 28 | 0.0293 | |
| | | 0.0319 | 5.0 | 35 | 0.0059 | |
| | | 0.0237 | 6.0 | 42 | 0.0035 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.52.2 |
| | - Pytorch 2.6.0+cu124 |
| | - Datasets 2.14.4 |
| | - Tokenizers 0.21.1 |
| | |
