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bsc-bio-ehr-es-vih-juicio_anam_urgen
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: 0.0364
- Positives Preds: 1040
- Negative Preds: 208738
- Positives Refs: 1961
- Negative Refs: 207817
- Tp: 826
- Fn: 1135
- Fp: 214
- Tn: 207603
- Accuracy: 0.9936
- Precision: 0.7942
- Recall: 0.4212
- F1: 0.5505
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: 3e-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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Positives Preds | Negative Preds | Positives Refs | Negative Refs | Tp | Fn | Fp | Tn | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.0372 | 1.0 | 26223 | 0.0358 | 1276 | 208502 | 1961 | 207817 | 888 | 1073 | 388 | 207429 | 0.9930 | 0.6959 | 0.4528 | 0.5487 |
| 0.04 | 2.0 | 52446 | 0.0364 | 1223 | 208555 | 1961 | 207817 | 873 | 1088 | 350 | 207467 | 0.9931 | 0.7138 | 0.4452 | 0.5484 |
| 0.037 | 3.0 | 78669 | 0.0362 | 1251 | 208527 | 1961 | 207817 | 870 | 1091 | 381 | 207436 | 0.9930 | 0.6954 | 0.4437 | 0.5417 |
| 0.0368 | 4.0 | 104892 | 0.0361 | 1125 | 208653 | 1961 | 207817 | 848 | 1113 | 277 | 207540 | 0.9934 | 0.7538 | 0.4324 | 0.5496 |
| 0.0367 | 5.0 | 131115 | 0.0364 | 1040 | 208738 | 1961 | 207817 | 826 | 1135 | 214 | 207603 | 0.9936 | 0.7942 | 0.4212 | 0.5505 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
