---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: testlink-class-2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# testlink-class-2

This model is a fine-tuned version of [PlanTL-GOB-ES/bsc-bio-ehr-es-pharmaconer](https://huggingface.co/PlanTL-GOB-ES/bsc-bio-ehr-es-pharmaconer) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1878
- Precision: 0.7
- Recall: 0.6959
- F1: 0.6979
- Accuracy: 0.9758

## 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: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 1.0   | 29   | 0.1455          | 0.7025    | 0.6491 | 0.6748 | 0.9758   |
| No log        | 2.0   | 58   | 0.1404          | 0.6845    | 0.6725 | 0.6785 | 0.9748   |
| No log        | 3.0   | 87   | 0.1511          | 0.6384    | 0.6608 | 0.6494 | 0.9730   |
| No log        | 4.0   | 116  | 0.1515          | 0.6353    | 0.6316 | 0.6334 | 0.9723   |
| No log        | 5.0   | 145  | 0.1563          | 0.6       | 0.7193 | 0.6543 | 0.9714   |
| No log        | 6.0   | 174  | 0.1820          | 0.6772    | 0.6257 | 0.6505 | 0.9734   |
| No log        | 7.0   | 203  | 0.1671          | 0.565     | 0.6608 | 0.6092 | 0.9695   |
| No log        | 8.0   | 232  | 0.1664          | 0.6592    | 0.6901 | 0.6743 | 0.9743   |
| No log        | 9.0   | 261  | 0.1726          | 0.6725    | 0.6725 | 0.6725 | 0.9754   |
| No log        | 10.0  | 290  | 0.1929          | 0.6328    | 0.6550 | 0.6437 | 0.9714   |
| No log        | 11.0  | 319  | 0.1749          | 0.6894    | 0.6491 | 0.6687 | 0.9737   |
| No log        | 12.0  | 348  | 0.1675          | 0.6889    | 0.7251 | 0.7066 | 0.9745   |
| No log        | 13.0  | 377  | 0.1806          | 0.6186    | 0.7018 | 0.6575 | 0.9723   |
| No log        | 14.0  | 406  | 0.1732          | 0.6193    | 0.7135 | 0.6630 | 0.9723   |
| No log        | 15.0  | 435  | 0.1837          | 0.6080    | 0.7076 | 0.6541 | 0.9714   |
| No log        | 16.0  | 464  | 0.1774          | 0.6798    | 0.7076 | 0.6934 | 0.9750   |
| No log        | 17.0  | 493  | 0.1700          | 0.6477    | 0.7310 | 0.6868 | 0.9737   |
| 0.0031        | 18.0  | 522  | 0.1719          | 0.6219    | 0.7310 | 0.6720 | 0.9732   |
| 0.0031        | 19.0  | 551  | 0.1749          | 0.6440    | 0.7193 | 0.6796 | 0.9743   |
| 0.0031        | 20.0  | 580  | 0.1808          | 0.7278    | 0.6725 | 0.6991 | 0.9761   |
| 0.0031        | 21.0  | 609  | 0.1753          | 0.6595    | 0.7135 | 0.6854 | 0.9737   |
| 0.0031        | 22.0  | 638  | 0.1816          | 0.6489    | 0.7135 | 0.6797 | 0.9739   |
| 0.0031        | 23.0  | 667  | 0.1835          | 0.6839    | 0.6959 | 0.6899 | 0.9752   |
| 0.0031        | 24.0  | 696  | 0.1864          | 0.7134    | 0.6842 | 0.6985 | 0.9759   |
| 0.0031        | 25.0  | 725  | 0.1919          | 0.7516    | 0.6725 | 0.7099 | 0.9765   |
| 0.0031        | 26.0  | 754  | 0.1823          | 0.6758    | 0.7193 | 0.6969 | 0.9743   |
| 0.0031        | 27.0  | 783  | 0.1822          | 0.6721    | 0.7193 | 0.6949 | 0.9741   |
| 0.0031        | 28.0  | 812  | 0.1862          | 0.7083    | 0.6959 | 0.7021 | 0.9759   |
| 0.0031        | 29.0  | 841  | 0.1879          | 0.7       | 0.6959 | 0.6979 | 0.9758   |
| 0.0031        | 30.0  | 870  | 0.1878          | 0.7       | 0.6959 | 0.6979 | 0.9758   |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3