IIC / xlm-roberta-large-livingner1

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Model's Last Updated: March 24 2025
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Introduction of xlm-roberta-large-livingner1

Model Details of xlm-roberta-large-livingner1

xlm-roberta-large-livingner1

This model is a finetuned version of xlm-roberta-large for the livingner1 dataset used in a benchmark in the paper TODO. The model has a F1 of 0.949

Please refer to the original publication for more information TODO LINK

Parameters used
parameter Value
batch size 16
learning rate 4e-05
classifier dropout 0.1
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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17
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