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BETO_Galen-livingner1
IIC/BETO_Galen-livingner1
BETO_Galen-livingner1 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 mit.
This model is a finetuned version of BETOGalen for the livingner1 dataset used in a benchmark in the paper TODO. The model has a F1 of 0.646
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From the Hugging Face model README
BETO_Galen-livingner1
This model is a finetuned version of BETO_Galen for the livingner1 dataset used in a benchmark in the paper TODO. The model has a F1 of 0.646
Please refer to the original publication for more information TODO LINK
Parameters used
| parameter | Value |
|---|---|
| batch size | 32 |
| 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
- bert
- License
- mit
- Languages
- es
- Created
- Jun 21, 2023
- Updated
- Mar 24, 2025