---
license: apache-2.0
base_model: PlanTL-GOB-ES/roberta-large-bne-capitel-ner
tags:
- token-classification
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: roberta-large-bne-capitel-ner_spanish
  results: []
language:
- es
widget:
 - text: "Karen Lopez, resisdente de la 105 # 58- 41, se encuentra en el área de cuidados intensivos"
---

<!-- 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. -->

# roberta-large-bne-capitel-ner_spanish

This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-large-bne-capitel-ner](https://huggingface.co./PlanTL-GOB-ES/roberta-large-bne-capitel-ner) on the MEDDOCAN dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1915
- Precision: 0.8269
- Recall: 0.6719
- F1: 0.7414
- Accuracy: 0.9561

## 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: 3

### Training results



### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1