---
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: 0.1903
- Precision: 0.6705
- Recall: 0.6901
- F1: 0.6801
- Accuracy: 0.9752

## 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: 7e-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   | 0.1665          | 0.5894    | 0.7135 | 0.6455 | 0.9717   |
| No log        | 2.0   | 58   | 0.1726          | 0.6864    | 0.6784 | 0.6824 | 0.9745   |
| No log        | 3.0   | 87   | 0.1412          | 0.6398    | 0.6959 | 0.6667 | 0.9748   |
| No log        | 4.0   | 116  | 0.1735          | 0.6646    | 0.6374 | 0.6507 | 0.9737   |
| No log        | 5.0   | 145  | 0.2060          | 0.4448    | 0.7544 | 0.5597 | 0.9592   |
| No log        | 6.0   | 174  | 0.1974          | 0.6529    | 0.6491 | 0.6510 | 0.9710   |
| No log        | 7.0   | 203  | 0.1564          | 0.6062    | 0.6842 | 0.6429 | 0.9726   |
| No log        | 8.0   | 232  | 0.1690          | 0.5580    | 0.7310 | 0.6329 | 0.9693   |
| No log        | 9.0   | 261  | 0.1869          | 0.6805    | 0.6725 | 0.6765 | 0.9736   |
| No log        | 10.0  | 290  | 0.1729          | 0.6894    | 0.6491 | 0.6687 | 0.9754   |
| No log        | 11.0  | 319  | 0.1793          | 0.7114    | 0.6199 | 0.6625 | 0.9754   |
| No log        | 12.0  | 348  | 0.1703          | 0.5805    | 0.6959 | 0.6330 | 0.9723   |
| No log        | 13.0  | 377  | 0.1649          | 0.6429    | 0.6842 | 0.6629 | 0.9739   |
| No log        | 14.0  | 406  | 0.1832          | 0.7081    | 0.6667 | 0.6867 | 0.9758   |
| No log        | 15.0  | 435  | 0.1877          | 0.7063    | 0.6608 | 0.6828 | 0.9763   |
| No log        | 16.0  | 464  | 0.1828          | 0.6981    | 0.6491 | 0.6727 | 0.9763   |
| No log        | 17.0  | 493  | 0.1666          | 0.6842    | 0.6842 | 0.6842 | 0.9767   |
| 0.0032        | 18.0  | 522  | 0.1795          | 0.5982    | 0.7661 | 0.6718 | 0.9732   |
| 0.0032        | 19.0  | 551  | 0.1728          | 0.6543    | 0.7193 | 0.6852 | 0.9765   |
| 0.0032        | 20.0  | 580  | 0.1781          | 0.6425    | 0.7251 | 0.6813 | 0.9754   |
| 0.0032        | 21.0  | 609  | 0.1747          | 0.6743    | 0.6901 | 0.6821 | 0.9765   |
| 0.0032        | 22.0  | 638  | 0.1815          | 0.6173    | 0.7076 | 0.6594 | 0.9743   |
| 0.0032        | 23.0  | 667  | 0.1863          | 0.6842    | 0.6842 | 0.6842 | 0.9761   |
| 0.0032        | 24.0  | 696  | 0.1871          | 0.6742    | 0.7018 | 0.6877 | 0.9758   |
| 0.0032        | 25.0  | 725  | 0.1912          | 0.6517    | 0.6784 | 0.6648 | 0.9745   |
| 0.0032        | 26.0  | 754  | 0.1907          | 0.6839    | 0.6959 | 0.6899 | 0.9758   |
| 0.0032        | 27.0  | 783  | 0.1904          | 0.6630    | 0.7018 | 0.6818 | 0.9747   |
| 0.0032        | 28.0  | 812  | 0.1895          | 0.6630    | 0.7018 | 0.6818 | 0.9748   |
| 0.0032        | 29.0  | 841  | 0.1903          | 0.6648    | 0.6959 | 0.68   | 0.9750   |
| 0.0032        | 30.0  | 870  | 0.1903          | 0.6705    | 0.6901 | 0.6801 | 0.9752   |


### Framework versions

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