metadata
license: cc-by-sa-4.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: korean_disease_ner
results: []
korean_disease_ner
This model is a fine-tuned version of klue/bert-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0855
- Precision: 0.9424
- Recall: 0.9475
- F1: 0.9449
- Accuracy: 0.9801
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: 2e-05
- train_batch_size: 30
- eval_batch_size: 30
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.0663 | 1.0 | 15954 | 0.0599 | 0.9417 | 0.9246 | 0.9331 | 0.9763 |
| 0.0471 | 2.0 | 31908 | 0.0514 | 0.9408 | 0.9442 | 0.9425 | 0.9795 |
| 0.0384 | 3.0 | 47862 | 0.0511 | 0.9419 | 0.9471 | 0.9445 | 0.9802 |
| 0.0292 | 4.0 | 63816 | 0.0558 | 0.9456 | 0.9449 | 0.9453 | 0.9804 |
| 0.0253 | 5.0 | 79770 | 0.0572 | 0.9421 | 0.9507 | 0.9464 | 0.9807 |
| 0.0225 | 6.0 | 95724 | 0.0649 | 0.9474 | 0.9435 | 0.9454 | 0.9805 |
| 0.0209 | 7.0 | 111678 | 0.0695 | 0.9409 | 0.9504 | 0.9456 | 0.9805 |
| 0.019 | 8.0 | 127632 | 0.0742 | 0.9431 | 0.9469 | 0.9450 | 0.9802 |
| 0.0178 | 9.0 | 143586 | 0.0799 | 0.9425 | 0.9477 | 0.9451 | 0.9802 |
| 0.016 | 10.0 | 159540 | 0.0855 | 0.9424 | 0.9475 | 0.9449 | 0.9801 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2