bsc-bio-ehr-es
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4593
- Precision: 0.4074
- Recall: 0.2696
- F1: 0.3245
- Accuracy: 0.9050
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: 8
- eval_batch_size: 8
- 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 |
|---|
| No log | 1.0 | 116 | 0.4621 | 0.4928 | 0.1667 | 0.2491 | 0.9033 |
| No log | 2.0 | 232 | 0.4577 | 0.4472 | 0.2696 | 0.3364 | 0.9048 |
| No log | 3.0 | 348 | 0.4593 | 0.4074 | 0.2696 | 0.3245 | 0.9050 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
