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mdeberta-v3-base-meddocan

This model is a finetuned version of mdeberta-v3-base for the meddocan dataset used in a benchmark in the paper TODO. The model has a F1 of 0.974

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
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Dataset used to train IIC/mdeberta-v3-base-meddocan

Collection including IIC/mdeberta-v3-base-meddocan

Evaluation results