Downloads · 30 days
16
4% of all-time downloads
xlm-roberta-large-livingner1
IIC/xlm-roberta-large-livingner1
xlm-roberta-large-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 xlm-roberta-large for the livingner1 dataset used in a benchmark in the paper TODO. The model has a F1 of 0.949
All-time downloads
442
Public
Parameters
560M
4.5 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin2.2 GB · 50%
Parameter types
How the weights are stored.
F32560M · 100%
Try a prompt
Datasets
Model card
From the Hugging Face model README
xlm-roberta-large-livingner1
This model is a finetuned version of xlm-roberta-large for the livingner1 dataset used in a benchmark in the paper TODO. The model has a F1 of 0.949
Please refer to the original publication for more information TODO LINK
Parameters used
| parameter | Value |
|---|---|
| batch size | 16 |
| learning rate | 4e-05 |
| classifier dropout | 0.1 |
| 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
- xlm-roberta
- License
- mit
- Languages
- es
- Created
- Jun 21, 2023
- Updated
- Mar 24, 2025