language: es
datasets:
- squad_es
- hackathon-pln-es/biomed_squad_es_v2
metrics:
- f1
biomedtra-small for QA
This model was trained as part of the "Extractive QA Biomedicine" project developed during the 2022 Hackathon organized by SOMOS NLP.
Motivation
Taking into account the existence of masked language models trained on Spanish Biomedical corpus, the objective of this project is to use them to generate extractice QA models for Biomedicine and compare their effectiveness with general masked language models.
The models trained during the Hackathon were:
hackathon-pln-es/roberta-base-bne-squad2-es
hackathon-pln-es/roberta-base-biomedical-clinical-es-squad2-es
hackathon-pln-es/roberta-base-biomedical-es-squad2-es
hackathon-pln-es/biomedtra-small-es-squad2-es
Description
This model is a fine-tuned version of mrm8488/biomedtra-small-es on the squad_es (v2) training dataset.
Hyperparameters
The hyperparameters were chosen based on those used in deepset/electra-base-squad2, an english-based model trained for similar purposes
--num_train_epochs 10 \
--learning_rate 1e-4 \
--max_seq_length 384 \
--doc_stride 128 \
Performance
Evaluated on the 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