IIC / roberta-large-bne-caresC

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Total runs: 12
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30-day runs: 4
Model's Last Updated: January 17 2025
text-classification

Introduction of roberta-large-bne-caresC

Model Details of roberta-large-bne-caresC

roberta-large-bne-caresC

This model is a finetuned version of roberta-large-bne for the Cares Chapters dataset used in a benchmark in the paper TODO. The model has a F1 of 0.84

Please refer to the original publication for more information TODO LINK

Parameters used
parameter Value
batch size 16
learning rate 2e-05
classifier dropout 0.2
warmup ratio 0
warmup steps 0
weight decay 0
optimizer AdamW
epochs 10
early stopping patience 3
BibTeX entry and citation info
TODO

Runs of IIC roberta-large-bne-caresC on huggingface.co

12
Total runs
1
24-hour runs
1
3-day runs
4
7-day runs
4
30-day runs

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roberta-large-bne-caresC huggingface.co

roberta-large-bne-caresC huggingface.co is an AI model on huggingface.co that provides roberta-large-bne-caresC's model effect (), which can be used instantly with this IIC roberta-large-bne-caresC model. huggingface.co supports a free trial of the roberta-large-bne-caresC model, and also provides paid use of the roberta-large-bne-caresC. Support call roberta-large-bne-caresC model through api, including Node.js, Python, http.

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roberta-large-bne-caresC install

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