IIC / bsc-bio-ehr-es-caresA

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Total runs: 18
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7-day runs: -2
30-day runs: 7
Model's Last Updated: March 24 2025
text-classification

Introduction of bsc-bio-ehr-es-caresA

Model Details of bsc-bio-ehr-es-caresA

bsc-bio-ehr-es-caresA

This model is a finetuned version of bsc-bio-ehr-es for the Cares Area dataset used in a benchmark in the paper TODO. The model has a F1 of 0.991

Please refer to the original publication for more information TODO LINK

Parameters used
parameter Value
batch size 16
learning rate 4e-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 bsc-bio-ehr-es-caresA on huggingface.co

18
Total runs
0
24-hour runs
-1
3-day runs
-2
7-day runs
7
30-day runs

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

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bsc-bio-ehr-es-caresA install

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

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