| --- |
| language: es |
| tags: |
| - biomedical |
| - clinical |
| - spanish |
| - bsc-bio-ehr-es |
| license: apache-2.0 |
| datasets: |
| - "IIC/livingner1" |
| metrics: |
| - f1 |
|
|
| model-index: |
| - name: IIC/bsc-bio-ehr-es-livingner1 |
| results: |
| - task: |
| type: token-classification |
| dataset: |
| name: livingner1 |
| type: IIC/livingner1 |
| split: test |
| metrics: |
| - name: f1 |
| type: f1 |
| value: 0.938 |
| pipeline_tag: token-classification |
|
|
| --- |
| |
| # bsc-bio-ehr-es-livingner1 |
|
|
| This model is a finetuned version of bsc-bio-ehr-es for the livingner1 dataset used in a benchmark in the paper TODO. The model has a F1 of 0.938 |
|
|
| Please refer to the original publication for more information TODO LINK |
|
|
| ## Parameters used |
|
|
| | parameter | Value | |
| |-------------------------|:-----:| |
| | batch size | 16 | |
| | learning rate | 4e-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 |
|
|
| ```bibtex |
| TODO |
| ``` |
|
|
|
|
