IIC / xlm-roberta-large-pharmaconer

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Model's Last Updated: November 25 2024
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Introduction of xlm-roberta-large-pharmaconer

Model Details of xlm-roberta-large-pharmaconer

xlm-roberta-large-pharmaconer

This model is a finetuned version of xlm-roberta-large for the pharmaconer dataset used in a benchmark in the paper TODO. The model has a F1 of 0.924

Please refer to the original publication for more information TODO LINK

Parameters used
parameter Value
batch size 64
learning rate 3e-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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18
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0
24-hour runs
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3-day runs
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7-day runs
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30-day runs

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