metadata
license: apache-2.0
datasets:
- HiTZ/casimedicos-squad
language:
- en
- es
- fr
- it
metrics:
- f1
pipeline_tag: token-classification
library_name: transformers
widget:
- text: >-
Paradoxical pulse is a drop in blood pressure > 10 mmHg during
inspiration; it represents an exaggeration of the physiological phenomenon
consisting of inspiratory lowering of BP (normal up to 10 mmHg). In
cardiac tamponade, inspiration, which causes an increase in blood flow to
the right chambers, increasing their volume, secondarily causes a
displacement of the interventricular septum to the left, so that the left
heart lodges and expels less blood during systole and the pulse,
therefore, decreases. In a normal heart this exaggerated displacement,
caused by the pressure exerted by the tamponade on the RV free wall, does
not occur. Sinus X represents the systolic collapse of the venous pulse,
i.e., the pressure drop due to atrial relaxation (also partly due to a
downward displacement of the RV base during systole). Sinus Y represents
the diastolic collapse of the venous pulse, i.e., the pressure drop that
occurs from the moment blood enters the tricuspid valve into the
ventricle. In cardiac tamponade, the deep sinus X is characteristic. In
constrictive pericarditis, the deep Y sinus. For all these reasons, the
correct answer is 5.
mDeBERTa-base for Multilingual Correct Explanation Extraction in the Medical Domain
This model is a fine-tuned version of mdeberta-v3-base for a novel extractive task which consists of identifying the explanation of the correct answer written by medical doctors. The model has been fine-tuned using the multilingual https://huggingface.co/datasets/HiTZ/casimedicos-squad dataset, which includes English, French, Italian and Spanish.
Performance
The model scores 74.64 F1 partial match (as defined in SQuAD extractive QA task averaged across the 4 languages.
Fine-tuning hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 48
- eval_batch_size: 8
- seed: random
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20.0
Framework versions
- Transformers 4.30.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.2
Contact: Iakes Goenaga and Rodrigo Agerri HiTZ Center - Ixa, University of the Basque Country UPV/EHU