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bio_bert_ft
This model is a fine-tuned version of dmis-lab/biobert-v1.1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0747
- F1: 0.8621
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: 32
- eval_batch_size: 32
- 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 | F1 |
---|---|---|---|---|
0.0879 | 1.0 | 170 | 0.0400 | 0.8312 |
0.0211 | 2.0 | 340 | 0.0454 | 0.8413 |
0.0105 | 3.0 | 510 | 0.0503 | 0.8603 |
0.0045 | 4.0 | 680 | 0.0497 | 0.8496 |
0.0028 | 5.0 | 850 | 0.0759 | 0.8387 |
0.0019 | 6.0 | 1020 | 0.0654 | 0.8598 |
0.0011 | 7.0 | 1190 | 0.0667 | 0.8654 |
0.0005 | 8.0 | 1360 | 0.0702 | 0.8621 |
0.0003 | 9.0 | 1530 | 0.0739 | 0.8596 |
0.0002 | 10.0 | 1700 | 0.0747 | 0.8621 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1