Downloads · 30 days
18
5% of all-time downloads
XLM_R_Galen-livingner3
IIC/XLM_R_Galen-livingner3
XLM_R_Galen-livingner3 is a text classification model from IIC. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
This model is a finetuned version of XLMRGalen for the livingner3 dataset used in a benchmark in the paper TODO. The model has a F1 of 0.5
All-time downloads
362
Public
Parameters
278M
2.2 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.
F32278M · 100%
Try a prompt
Datasets
Model card
From the Hugging Face model README
XLM_R_Galen-livingner3
This model is a finetuned version of XLM_R_Galen for the livingner3 dataset used in a benchmark in the paper TODO. The model has a F1 of 0.5
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
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Languages
- es
- Created
- Jun 26, 2023
- Updated
- Mar 24, 2025