BlueBERT_JNLPBA_NER_new
This model is a fine-tuned version of bionlp/bluebert_pubmed_mimic_uncased_L-12_H-768_A-12 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1607
- Precision: 0.9548
- Recall: 0.9523
- F1: 0.9536
- Accuracy: 0.9478
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: 16
- eval_batch_size: 16
- seed: 42
- 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 | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.1948 | 1.0 | 1164 | 0.1611 | 0.9537 | 0.9514 | 0.9526 | 0.9466 |
| 0.1459 | 2.0 | 2328 | 0.1602 | 0.9544 | 0.9526 | 0.9535 | 0.9473 |
| 0.1207 | 3.0 | 3492 | 0.1607 | 0.9548 | 0.9523 | 0.9536 | 0.9478 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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