IIC / mdeberta-v3-base-ctebmsp

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Total runs: 28
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7-day runs: 8
30-day runs: 24
Model's Last Updated: November 25 2024
token-classification

Introduction of mdeberta-v3-base-ctebmsp

Model Details of mdeberta-v3-base-ctebmsp

mdeberta-v3-base-ctebmsp

This model is a finetuned version of mdeberta-v3-base for the CT-EBM-SP (Clinical Trials for Evidence-based Medicine in Spanish) dataset used in a benchmark in the paper TODO. The model has a F1 of 0.902

Please refer to the original publication for more information TODO LINK

Parameters used
parameter Value
batch size 32
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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28
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3-day runs
8
7-day runs
24
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