IIC / xlm-roberta-large-cantemist

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Total runs: 15
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Model's Last Updated: March 24 2025
text-classification

Introduction of xlm-roberta-large-cantemist

Model Details of xlm-roberta-large-cantemist

xlm-roberta-large-cantemist

This model is a finetuned version of xlm-roberta-large for the cantemist dataset used in a benchmark in the paper TODO. The model has a F1 of 0.904

Please refer to the original publication for more information TODO LINK

Parameters used
parameter Value
batch size 16
learning rate 2e05
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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15
Total runs
0
24-hour runs
-3
3-day runs
-6
7-day runs
-5
30-day runs

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