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bert-base-chinese-finetuned-ner
This model is a fine-tuned version of bert-base-chinese on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0063
- F1: 1.0
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 3.0712 | 1.0 | 3 | 1.6814 | 0.0472 |
| 1.545 | 2.0 | 6 | 1.1195 | 0.4993 |
| 1.1234 | 3.0 | 9 | 0.7210 | 0.7259 |
| 0.6518 | 4.0 | 12 | 0.4457 | 0.8595 |
| 0.497 | 5.0 | 15 | 0.2754 | 0.9050 |
| 0.2761 | 6.0 | 18 | 0.1742 | 0.9509 |
| 0.2281 | 7.0 | 21 | 0.1053 | 0.9903 |
| 0.1189 | 8.0 | 24 | 0.0642 | 0.9976 |
| 0.1002 | 9.0 | 27 | 0.0416 | 1.0 |
| 0.053 | 10.0 | 30 | 0.0280 | 1.0 |
| 0.0525 | 11.0 | 33 | 0.0206 | 1.0 |
| 0.0412 | 12.0 | 36 | 0.0156 | 1.0 |
| 0.0284 | 13.0 | 39 | 0.0123 | 1.0 |
| 0.0191 | 14.0 | 42 | 0.0101 | 1.0 |
| 0.0227 | 15.0 | 45 | 0.0087 | 1.0 |
| 0.0167 | 16.0 | 48 | 0.0077 | 1.0 |
| 0.0161 | 17.0 | 51 | 0.0071 | 1.0 |
| 0.015 | 18.0 | 54 | 0.0066 | 1.0 |
| 0.0167 | 19.0 | 57 | 0.0064 | 1.0 |
| 0.0121 | 20.0 | 60 | 0.0063 | 1.0 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.12.0+cu102
- Datasets 1.18.4
- Tokenizers 0.12.1
