---
license: apache-2.0
base_model: PlanTL-GOB-ES/bsc-bio-ehr-es
tags:
- generated_from_trainer
metrics:
- precision
- f1
model-index:
- name: finetuning-0
  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. -->

# finetuning-0

This model is a fine-tuned version of [PlanTL-GOB-ES/bsc-bio-ehr-es](https://huggingface.co/PlanTL-GOB-ES/bsc-bio-ehr-es) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2446
- Precision: 0.9615
- Sensitivity: 0.8065
- F1: 0.8772

## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Sensitivity | F1     |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:-----------:|:------:|
| 0.3577        | 1.27  | 150  | 0.2695          | 0.9615    | 0.5376      | 0.6897 |
| 0.1836        | 2.54  | 300  | 0.2239          | 0.9545    | 0.6774      | 0.7925 |
| 0.1518        | 3.81  | 450  | 0.1970          | 0.9481    | 0.7849      | 0.8588 |
| 0.1129        | 5.08  | 600  | 0.2098          | 0.9620    | 0.8172      | 0.8837 |
| 0.0688        | 6.36  | 750  | 0.2758          | 0.9853    | 0.7204      | 0.8323 |
| 0.0592        | 7.63  | 900  | 0.2446          | 0.9615    | 0.8065      | 0.8772 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2