ner-biomedical-maccrobat2018
This model is a fine-tuned version of d4data/biomedical-ner-all on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6342
- Accuracy: 0.7903
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use 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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.5437 | 1.0 | 10 | 1.6009 | 0.3671 |
| 1.3262 | 2.0 | 20 | 0.9660 | 0.6254 |
| 0.8675 | 3.0 | 30 | 0.7436 | 0.7145 |
| 0.6199 | 4.0 | 40 | 0.6544 | 0.7385 |
| 0.4707 | 5.0 | 50 | 0.6131 | 0.7660 |
| 0.3735 | 6.0 | 60 | 0.6027 | 0.7709 |
| 0.3049 | 7.0 | 70 | 0.6056 | 0.7786 |
| 0.2507 | 8.0 | 80 | 0.5992 | 0.7792 |
| 0.2144 | 9.0 | 90 | 0.6115 | 0.7780 |
| 0.1801 | 10.0 | 100 | 0.6062 | 0.7863 |
| 0.1539 | 11.0 | 110 | 0.6101 | 0.7854 |
| 0.1372 | 12.0 | 120 | 0.6157 | 0.7892 |
| 0.1234 | 13.0 | 130 | 0.6269 | 0.7896 |
| 0.1119 | 14.0 | 140 | 0.6285 | 0.7881 |
| 0.1025 | 15.0 | 150 | 0.6364 | 0.7879 |
| 0.0945 | 16.0 | 160 | 0.6326 | 0.7896 |
| 0.09 | 17.0 | 170 | 0.6297 | 0.7916 |
| 0.0861 | 18.0 | 180 | 0.6318 | 0.7908 |
| 0.083 | 19.0 | 190 | 0.6317 | 0.7901 |
| 0.0817 | 20.0 | 200 | 0.6342 | 0.7903 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0