pytorch roberta question-answering es dataset:squad_es dataset:hackathon-pln-es/biomed_squad_es_v2 transformers autotrain_compatible
---
language: es
datasets:
- squad_es
- hackathon-pln-es/biomed_squad_es_v2
metrics:
- "f1"

---

# roberta-base-biomedical-clinical-es for QA 

This model was trained as part of the "Extractive QA Biomedicine" project developed during the 2022 [Hackathon](https://somosnlp.org/hackathon) organized by SOMOS NLP.

## Motivation

Recent research has made available Spanish Language Models trained on Biomedical corpus. This project explores the use of these new models to generate extractive Question Answering models for Biomedicine, and compares their effectiveness with general masked language models.

The models trained during the [Hackathon](https://somosnlp.org/hackathon) were:

[hackathon-pln-es/roberta-base-bne-squad2-es](https://huggingface.co/hackathon-pln-es/roberta-base-bne-squad2-es)

[hackathon-pln-es/roberta-base-biomedical-clinical-es-squad2-es](https://huggingface.co/hackathon-pln-es/roberta-base-biomedical-clinical-es-squad2-es)

[hackathon-pln-es/roberta-base-biomedical-es-squad2-es](https://huggingface.co/hackathon-pln-es/roberta-base-biomedical-es-squad2-es)

[hackathon-pln-es/biomedtra-small-es-squad2-es](https://huggingface.co/hackathon-pln-es/biomedtra-small-es-squad2-es)

## Description

This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-base-biomedical-clinical-es](https://huggingface.co/PlanTL-GOB-ES/roberta-base-biomedical-clinical-es) on the [squad_es (v2)](https://huggingface.co/datasets/squad_es) training dataset.


## Hyperparameters

The hyperparameters were chosen based on those used in [PlanTL-GOB-ES/roberta-base-bne-sqac](https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne-sqac), a spanish-based QA model trained on a dataset with SQUAD v1 fromat.

```
 --num_train_epochs 2
 --learning_rate 3e-5
 --weight_decay 0.01
 --max_seq_length 386
 --doc_stride 128 
```

## Performance

Evaluated on the [hackathon-pln-es/biomed_squad_es_v2](https://huggingface.co/datasets/hackathon-pln-es/biomed_squad_es_v2) dev set.

|Model                                                         |Base Model Domain|exact  |f1     |HasAns_exact|HasAns_f1|NoAns_exact|NoAns_f1|
|--------------------------------------------------------------|-----------------|-------|-------|------------|---------|-----------|--------|
|hackathon-pln-es/roberta-base-bne-squad2-es                   |General          |67.6341|75.6988|53.7367     |70.0526  |81.2174    |81.2174 |
|hackathon-pln-es/roberta-base-biomedical-clinical-es-squad2-es|Biomedical       |66.8426|75.2346|53.0249     |70.0031  |80.3478    |80.3478 |
|hackathon-pln-es/roberta-base-biomedical-es-squad2-es         |Biomedical       |67.6341|74.5612|47.6868     |61.7012  |87.1304    | 87.1304|
|hackathon-pln-es/biomedtra-small-es-squad2-es                 |Biomedical       |34.4767|44.3294|45.3737     |65.307   |23.8261    |23.8261 |


## Team

Santiago Maximo: [smaximo](https://huggingface.co/smaximo)