Downloads · 30 days
37
3% of all-time downloads
bert-base-spanish-wwm-cased-meddocan
IIC/bert-base-spanish-wwm-cased-meddocan
bert-base-spanish-wwm-cased-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 cc-by-4.0.
This model is a finetuned version of bert-base-spanish-wwm-cased for the meddocan dataset used in a benchmark in the paper TODO. The model has a F1 of 0.957
All-time downloads
1.1K
Public
Parameters
110M
879 MB on disk
Likes
1
Public
Repo makeup
Click a slice to open those files.
.bin440 MB · 50%
Parameter types
How the weights are stored.
F32110M · 100%
Try a prompt
Datasets
Model card
From the Hugging Face model README
bert-base-spanish-wwm-cased-meddocan
This model is a finetuned version of bert-base-spanish-wwm-cased for the meddocan dataset used in a benchmark in the paper TODO. The model has a F1 of 0.957
Please refer to the original publication for more information TODO LINK
Parameters used
| parameter | Value |
|---|---|
| batch size | 16 |
| learning rate | 3e-05 |
| classifier dropout | 0.1 |
| 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
- cc-by-4.0
- Languages
- es
- Created
- Jun 21, 2023
- Updated
- Mar 24, 2025