IIC / bert-base-spanish-wwm-cased-ctebmsp

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Total runs: 16
24-hour runs: 2
7-day runs: -2
30-day runs: -6
Model's Last Updated: November 25 2024
token-classification

Introduction of bert-base-spanish-wwm-cased-ctebmsp

Model Details of bert-base-spanish-wwm-cased-ctebmsp

bert-base-spanish-wwm-cased-ctebmsp

This model is a finetuned version of bert-base-spanish-wwm-cased 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 0.88

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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16
Total runs
2
24-hour runs
2
3-day runs
-2
7-day runs
-6
30-day runs

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