IIC / bsc-bio-ehr-es-meddocan

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Total runs: 18
24-hour runs: 0
7-day runs: 1
30-day runs: -8
Model's Last Updated: July 14 2023
token-classification

Introduction of bsc-bio-ehr-es-meddocan

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

bsc-bio-ehr-es-meddocan

This model is a finetuned version of bsc-bio-ehr-es for the meddocan dataset used in a benchmark in the paper TODO. The model has a F1 of 0.967

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
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-meddocan on huggingface.co

18
Total runs
0
24-hour runs
3
3-day runs
1
7-day runs
-8
30-day runs

More Information About bsc-bio-ehr-es-meddocan huggingface.co Model

More bsc-bio-ehr-es-meddocan license Visit here:

https://choosealicense.com/licenses/apache-2.0

bsc-bio-ehr-es-meddocan huggingface.co

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

bsc-bio-ehr-es-meddocan huggingface.co Url

https://huggingface.co/IIC/bsc-bio-ehr-es-meddocan

IIC bsc-bio-ehr-es-meddocan online free

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bsc-bio-ehr-es-meddocan install

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

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