Downloads · 30 days
30
8% of all-time downloads
rmloss-opt-rm-13b
HiTZ/rmloss-opt-rm-13b
rmloss-opt-rm-13b is a text generation model from HiTZ. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
This is a fine tuned OPT 13b model for reward modelling. The finetuning has been done on top of the full SLF5K dataset following the method presented in the paper Training Language Models with Language Feedback at Sca…
All-time downloads
376
Public
Repo size
103 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin77.1 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- mit
- Model type
- opt
- Access
- Public
- Created
- Feb 13, 2023
- Updated
- Apr 7, 2023
- SHA
- 76e81901
Try a prompt
Model card
From the Hugging Face model README
LM Loss OPT RM
This is a fine tuned OPT 13b model for reward modelling. The finetuning has been done on top of the full SLF5K dataset following the method presented in the paper Training Language Models with Language Feedback at Scale. The main results can be seen in the following table:
| Model | # Params | Validation Accuracy (in %) |
|---|---|---|
| OPT LM Loss | 13B | 73.4 +/- 1.9 |
| OPT LM Loss | 1.3B | 69.6 +/- 2.0 |
| OPT RM Loss | 13B | 71.8 +/- 2.0 |
If using this model, please cite the following paper:
@article{scheurer2023training,
title={Training Language Models with Language Feedback at Scale},
author={Scheurer, J{\'e}r{\'e}my and Campos, Jon Ander and Korbak, Tomasz and Chan, Jun Shern and Chen, Angelica and Cho, Kyunghyun and Perez, Ethan},
journal={arXiv preprint arXiv:2303.16755},
year={2023}
}
- Task
- Text Generation
- Library
- transformers
- Type
- opt
- License
- mit
- Languages
- en
- Created
- Feb 13, 2023
- Updated
- Apr 7, 2023