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---
language: es
tags:
- biomedical
- clinical
- eHR
- spanish
- roberta-large-bne
license: apache-2.0
datasets:
- "PlanTL-GOB-ES/cantemist-ner"
metrics:
- f1

model-index:
- name: IIC/roberta-large-bne-cantemist
  results:
  - task:
      type: token-classification
    dataset:
      name: cantemist-ner
      type: PlanTL-GOB-ES/cantemist-ner
    metrics:
      - name: f1
        type: f1
        value: 0.902
widget:
- text: "El diagnóstico definitivo de nuestro paciente fue de un Adenocarcinoma de pulmón cT2a cN3 cM1a Estadio IV (por una única lesión pulmonar contralateral) PD-L1 90%, EGFR negativo, ALK negativo y ROS-1 negativo."
- text: "Durante el ingreso se realiza una TC, observándose un nódulo pulmonar en el LII y una masa renal derecha indeterminada. Se realiza punción biopsia del nódulo pulmonar, con hallazgos altamente sospechosos de carcinoma."
- text: "Trombosis paraneoplásica con sospecha de hepatocarcinoma por imagen, sobre hígado cirrótico, en paciente con índice Child-Pugh B."
---


# roberta-large-bne-cantemist

This model is a finetuned version of roberta-large-bne for the cantemist dataset used in a benchmark in the paper `A comparative analysis of Spanish Clinical encoder-based models on NER and classification tasks`. The model has a F1 of 0.902

Please refer to the [original publication](https://doi.org/10.1093/jamia/ocae054) for more information.

## Parameters used

| parameter               | Value |
|-------------------------|:-----:|
| batch size              |  16   |
| learning rate           | 1e05  |
| classifier dropout      |  0.1   |
| warmup ratio            |   0   |
| warmup steps            |   0   |
| weight decay            |   0   |
| optimizer               | AdamW |
| epochs                  |   10  |
| early stopping patience |   3   |


## BibTeX entry and citation info

```bibtext
@article{10.1093/jamia/ocae054,
    author = {García Subies, Guillem and Barbero Jiménez, Álvaro and Martínez Fernández, Paloma},
    title = {A comparative analysis of Spanish Clinical encoder-based models on NER and classification tasks},
    journal = {Journal of the American Medical Informatics Association},
    volume = {31},
    number = {9},
    pages = {2137-2146},
    year = {2024},
    month = {03},
    issn = {1527-974X},
    doi = {10.1093/jamia/ocae054},
    url = {https://doi.org/10.1093/jamia/ocae054},
}
```