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Yepes_5e-05_31_03
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: 0.1043
- Precision: 0.7017
- Recall: 0.5476
- F1: 0.6152
- Accuracy: 0.9834
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: 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 |
|---|---|---|---|---|---|---|---|
| 0.4466 | 1.92 | 25 | 0.1761 | 0.0 | 0.0 | 0.0 | 0.9704 |
| 0.1328 | 3.85 | 50 | 0.1094 | 0.2957 | 0.1799 | 0.2237 | 0.9747 |
| 0.0932 | 5.77 | 75 | 0.0997 | 0.5656 | 0.3307 | 0.4174 | 0.9793 |
| 0.0627 | 7.69 | 100 | 0.0822 | 0.6353 | 0.4471 | 0.5248 | 0.9822 |
| 0.0455 | 9.62 | 125 | 0.0815 | 0.7116 | 0.5026 | 0.5891 | 0.9838 |
| 0.0332 | 11.54 | 150 | 0.0929 | 0.7302 | 0.4868 | 0.5841 | 0.9829 |
| 0.0246 | 13.46 | 175 | 0.0912 | 0.6894 | 0.5344 | 0.6021 | 0.9826 |
| 0.0195 | 15.38 | 200 | 0.1108 | 0.708 | 0.4683 | 0.5637 | 0.9828 |
| 0.0179 | 17.31 | 225 | 0.0881 | 0.7021 | 0.5423 | 0.6119 | 0.9837 |
| 0.0132 | 19.23 | 250 | 0.1011 | 0.7053 | 0.5635 | 0.6265 | 0.9837 |
| 0.0104 | 21.15 | 275 | 0.1043 | 0.7017 | 0.5476 | 0.6152 | 0.9834 |
Framework versions
- Transformers 4.27.4
- Pytorch 1.13.1+cu116
- Datasets 2.11.0
- Tokenizers 0.13.2
