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This model is a finetuned version of xlm-roberta-large for the Cares Area dataset used in a benchmark in the paper TODO. The model has a F1 of 0.994

Please refer to the original publication for more information TODO LINK

Parameters used

parameter Value
batch size 16
learning rate 3e-05
classifier dropout 0.1
warmup ratio 0
warmup steps 0
weight decay 0
optimizer AdamW
epochs 10
early stopping patience 3

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