kcelectra_base_ner_law_v2
This model is a fine-tuned version of beomi/KcELECTRA-base-v2022 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0009
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: 3e-05
- train_batch_size: 8
- eval_batch_size: 64
- seed: 15
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0105 | 0.11 | 1000 | 0.0022 |
| 0.0028 | 0.22 | 2000 | 0.0019 |
| 0.0024 | 0.33 | 3000 | 0.0016 |
| 0.0014 | 0.44 | 4000 | 0.0027 |
| 0.0014 | 0.56 | 5000 | 0.0015 |
| 0.0016 | 0.67 | 6000 | 0.0013 |
| 0.0012 | 0.78 | 7000 | 0.0013 |
| 0.0016 | 0.89 | 8000 | 0.0011 |
| 0.0011 | 1.0 | 9000 | 0.0009 |
| 0.0006 | 1.11 | 10000 | 0.0013 |
| 0.0005 | 1.22 | 11000 | 0.0014 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Tokenizers 0.15.1
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