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bsc-bio-ehr-es-meddocan
IIC/bsc-bio-ehr-es-meddocan
bsc-bio-ehr-es-meddocan is a token classification model from IIC. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.
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
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From the Hugging Face model README
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
- Task
- Token Classification
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Languages
- es
- Created
- Jun 21, 2023
- Updated
- Jul 14, 2023