IIC
/

XLM_R_Galen-meddocan

Token Classification

text-classification

Inference Endpoints

Model card Files Files and versions Community

XLM_R_Galen-meddocan

This model is a finetuned version of XLM_R_Galen for the meddocan dataset used in a benchmark in the paper TODO. The model has a F1 of 0.947

Please refer to the original publication for more information TODO LINK

Parameters used

parameter	Value
batch size	16
learning rate	4e-05
classifier dropout	0.2
warmup ratio	0
warmup steps	0
weight decay	0
optimizer	AdamW
epochs	10
early stopping patience	3

BibTeX entry and citation info

TODO

Downloads last month: 109

Inference Providers NEW

Token Classification

This model is not currently available via any of the supported Inference Providers.

Dataset used to train IIC/XLM_R_Galen-meddocan

Collection including IIC/XLM_R_Galen-meddocan

👨🏻‍⚕️ Spanish Clinical Encoders Analysis

Models and datasets used in the paper `A comparative analysis of Spanish Clinical encoder-based models on NER and classification tasks` • 92 items • Updated Jan 23, 2024 • 1

Evaluation results

f1 on meddocan
test set self-reported

0.947

View on Papers With Code