--- language: es tags: - biomedical - clinical - spanish - roberta-large-bne license: apache-2.0 datasets: - "IIC/socialdisner" metrics: - f1 model-index: - name: IIC/roberta-large-bne-socialdisner results: - task: type: token-classification dataset: name: socialdisner type: IIC/socialdisner split: test metrics: - name: f1 type: f1 value: 0.92 pipeline_tag: token-classification --- # roberta-large-bne-socialdisner This model is a finetuned version of roberta-large-bne for the socialdisner dataset used in a benchmark in the paper TODO. The model has a F1 of 0.92 Please refer to the original publication for more information TODO LINK ## Parameters used | parameter | Value | |-------------------------|:-----:| | batch size | 16 | | learning rate | 1e-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 ```bibtex TODO ```