IIC / roberta-large-bne-ehealth_kd

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Total runs: 35
24-hour runs: 0
7-day runs: -4
30-day runs: 18
Model's Last Updated: March 24 2025
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Introduction of roberta-large-bne-ehealth_kd

Model Details of roberta-large-bne-ehealth_kd

roberta-large-bne-ehealth_kd

This model is a finetuned version of roberta-large-bne for the eHealth-KD dataset used in a benchmark in the paper TODO. The model has a F1 of 0.836

Please refer to the original publication for more information TODO LINK

Parameters used
parameter Value
batch size 16
learning rate 2e-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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35
Total runs
0
24-hour runs
4
3-day runs
-4
7-day runs
18
30-day runs

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roberta-large-bne-ehealth_kd is an open source model from GitHub that offers a free installation service, and any user can find roberta-large-bne-ehealth_kd on GitHub to install. At the same time, huggingface.co provides the effect of roberta-large-bne-ehealth_kd install, users can directly use roberta-large-bne-ehealth_kd installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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