---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: nubes_test
  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. -->

# nubes_test

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: 0.1333
- Precision: 0.8783
- Recall: 0.9154
- F1: 0.8965
- Accuracy: 0.9717

## 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: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.1266        | 1.0   | 1726 | 0.1112          | 0.8348    | 0.8856 | 0.8594 | 0.9676   |
| 0.0731        | 2.0   | 3452 | 0.1175          | 0.8766    | 0.9008 | 0.8885 | 0.9716   |
| 0.0443        | 3.0   | 5178 | 0.1218          | 0.8829    | 0.9076 | 0.8951 | 0.9717   |
| 0.0289        | 4.0   | 6904 | 0.1333          | 0.8783    | 0.9154 | 0.8965 | 0.9717   |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2