Variome_0.0005_250
This model is a fine-tuned version of microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1812
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
- Accuracy: 0.9760
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: 0.0005
- 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
- training_steps: 500
Training results
Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
---|---|---|---|---|---|---|---|
0.3356 | 0.35 | 25 | 0.1809 | 0.0 | 0.0 | 0.0 | 0.9760 |
0.1851 | 0.69 | 50 | 0.1807 | 0.0 | 0.0 | 0.0 | 0.9760 |
0.1635 | 1.04 | 75 | 0.1863 | 0.0 | 0.0 | 0.0 | 0.9760 |
0.1848 | 1.39 | 100 | 0.1810 | 0.0 | 0.0 | 0.0 | 0.9760 |
0.1697 | 1.74 | 125 | 0.1817 | 0.0 | 0.0 | 0.0 | 0.9760 |
0.1735 | 2.08 | 150 | 0.1802 | 0.0 | 0.0 | 0.0 | 0.9760 |
0.1576 | 2.43 | 175 | 0.1833 | 0.0 | 0.0 | 0.0 | 0.9760 |
0.178 | 2.78 | 200 | 0.1811 | 0.0 | 0.0 | 0.0 | 0.9760 |
0.18 | 3.12 | 225 | 0.1815 | 0.0 | 0.0 | 0.0 | 0.9760 |
0.1809 | 3.47 | 250 | 0.1825 | 0.0 | 0.0 | 0.0 | 0.9760 |
0.1616 | 3.82 | 275 | 0.1828 | 0.0 | 0.0 | 0.0 | 0.9760 |
0.1682 | 4.17 | 300 | 0.1812 | 0.0 | 0.0 | 0.0 | 0.9760 |
Framework versions
- Transformers 4.27.4
- Pytorch 1.13.1+cu116
- Datasets 2.11.0
- Tokenizers 0.13.2
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