metadata
language: es
tags:
- biomedical
- clinical
- spanish
- mdeberta-v3-base
license: mit
datasets:
- plncmm/nubes
metrics:
- f1
model-index:
- name: IIC/mdeberta-v3-base-nubes
results:
- task:
type: token-classification
dataset:
name: nubes
type: plncmm/nubes
split: test
metrics:
- name: f1
type: f1
value: 0.919
pipeline_tag: token-classification
mdeberta-v3-base-nubes
This model is a finetuned version of mdeberta-v3-base for the nubes dataset used in a benchmark in the paper TODO. The model has a F1 of 0.919
Please refer to the original publication for more information TODO LINK
Parameters used
| parameter | Value |
|---|---|
| batch size | 32 |
| learning rate | 3e-05 |
| classifier dropout | 0 |
| warmup ratio | 0 |
| warmup steps | 0 |
| weight decay | 0 |
| optimizer | AdamW |
| epochs | 10 |
| early stopping patience | 3 |
BibTeX entry and citation info
TODO