metadata
language: es
tags:
- biomedical
- clinical
- spanish
- bert-base-spanish-wwm-cased
license: cc-by-4.0
datasets:
- plncmm/nubes
metrics:
- f1
model-index:
- name: IIC/bert-base-spanish-wwm-cased-nubes
results:
- task:
type: token-classification
dataset:
name: nubes
type: plncmm/nubes
split: test
metrics:
- name: f1
type: f1
value: 0.908
pipeline_tag: token-classification
bert-base-spanish-wwm-cased-nubes
This model is a finetuned version of bert-base-spanish-wwm-cased for the nubes dataset used in a benchmark in the paper TODO. The model has a F1 of 0.908
Please refer to the original publication for more information TODO LINK
Parameters used
parameter | Value |
---|---|
batch size | 16 |
learning rate | 3e-05 |
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
TODO