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bsc-bio-ehr-es-vih-rod
This model is a fine-tuned version of PlanTL-GOB-ES/bsc-bio-ehr-es on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0021
- Precision: 1.0
- Sensitivity: 1.0
- F2: 1.0
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: 5
Training results
Training Loss | Epoch | Step | Validation Loss | Precision | Sensitivity | F2 |
---|---|---|---|---|---|---|
0.0886 | 1.0 | 21 | 0.0702 | 0.9524 | 1.0 | 0.9901 |
0.0856 | 2.0 | 42 | 0.0050 | 1.0 | 1.0 | 1.0 |
0.0493 | 3.0 | 63 | 0.0031 | 1.0 | 1.0 | 1.0 |
0.0315 | 4.0 | 84 | 0.0021 | 1.0 | 1.0 | 1.0 |
0.0288 | 5.0 | 105 | 0.0021 | 1.0 | 1.0 | 1.0 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3