Downloads · 30 days
16
4% of all-time downloads
mdeberta-v3-base-socialdisner
IIC/mdeberta-v3-base-socialdisner
mdeberta-v3-base-socialdisner 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 mdeberta-v3-base for the socialdisner dataset used in a benchmark in the paper TODO. The model has a F1 of 0.935
All-time downloads
431
Public
Parameters
279M
2.3 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin1.1 GB · 50%
Parameter types
How the weights are stored.
F32279M · 100%
Try a prompt
Datasets
Model card
From the Hugging Face model README
mdeberta-v3-base-socialdisner
This model is a finetuned version of mdeberta-v3-base for the socialdisner dataset used in a benchmark in the paper TODO. The model has a F1 of 0.935
Please refer to the original publication for more information TODO LINK
Parameters used
| parameter | Value |
|---|---|
| batch size | 16 |
| learning rate | 1e-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
- Task
- Token Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Languages
- es
- Created
- Jun 26, 2023
- Updated
- Mar 24, 2025