XLM_R_Galen-livingner3

This model is a finetuned version of XLM_R_Galen for the livingner3 dataset used in a benchmark in the paper TODO. The model has a F1 of 0.5

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
warmup ratio	0
warmup steps	0
weight decay	0
optimizer	AdamW
epochs	10
early stopping patience	3

BibTeX entry and citation info

TODO

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Text Classification

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Dataset used to train IIC/XLM_R_Galen-livingner3

Collection including IIC/XLM_R_Galen-livingner3

👨🏻‍⚕️ Spanish Clinical Encoders Analysis

Collection

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 • 1

Evaluation results

f1 on livingner3
test set self-reported

0.500

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