|
--- |
|
license: other |
|
license_name: skywork-community-license |
|
license_link: >- |
|
https://github.com/SkyworkAI/Skywork-Reward/blob/main/misc/Skywork%20Community%20License.pdf |
|
datasets: |
|
- nvidia/HelpSteer2 |
|
language: |
|
- en |
|
metrics: |
|
- accuracy |
|
base_model: |
|
- Skywork/Skywork-Reward-Llama-3.1-8B-v0.2 |
|
library_name: transformers |
|
--- |
|
# Interpreting Language Model Preferences Through the Lens of Decision Trees |
|
|
|
+ **Author** [Min Li](https://min-li.github.io/) |
|
+ **Blog**: https://rlhflow.github.io/posts/2025-01-22-decision-tree-reward-model/ |
|
+ **Models**: |
|
+ [**Decision-Tree-Reward-Gemma-2-27B**](https://huggingface.co/RLHFlow/Decision-Tree-Reward-Gemma-2-27B) |
|
+ [**Decision-Tree-Reward-Llama-3.1-8B**](https://huggingface.co/RLHFlow/Decision-Tree-Reward-Llama-3.1-8B) |
|
+ **Code Repository:** https://github.com/RLHFlow/RLHF-Reward-Modeling/tree/main/decision_tree |
|
+ **Tech Report**: To release soon |
|
|
|
## RewardBench Leaderboard (Jan 2025) |
|
|
|
Rank | Model | Base Model | Method | Overall Score | Chat | Chat Hard | Safety | Reasoning | |
|
|:------|:------|:-----------|:-------|:------|:-----|:----------|:-------|:----------| |
|
1 | [**Decision-Tree-Reward-Gemma-2-27B**](https://huggingface.co/RLHFlow/Decision-Tree-Reward-Gemma-2-27B) | Gemma-2-27B | Decision Tree | **95.3** | 96.9 | **91.4** | 93.7 | **99.1** | |
|
2 | INF-QRM-Llama3.1-70B | Llama-3.1-70B | Sequence Classifier | 95.1 | 96.6 | 91.0 | 93.6 | **99.1** | |
|
3 | QRM-Gemma-2-27B | Gemma-2-27B | Sequence Classifier | 94.4 | 96.6 | 90.1 | 92.7 | 98.3 | |
|
4 | Skywork-Reward-Gemma-2-27B-v0.2 | Gemma-2-27B | Sequence Classifier | 94.3 | 96.1 | 89.9 | 93.0 | 98.1 | |
|
5 | [**Decision-Tree-Reward-Llama-3.1-8B**](https://huggingface.co/RLHFlow/Decision-Tree-Reward-Llama-3.1-8B) | Llama-3.1-8B | Decision Tree | 94.3 | 96.9 | 89.3 | 92.9 | 98.5 | |
|
6 | Llama-3.1-Nemotron-70B-Reward | Llama-3.1-70B | Custom Classifier | 94.1 | 97.5 | 85.7 | **95.1** | 98.1 | |
|
7 | Skywork-Reward-Gemma-2-27B | Gemma-2-27B | Sequence Classifier | 93.8 | 95.8 | **91.4** | 91.9 | 96.1 | |
|
8 | TextEval-Llama3.1-70B | Llama-3.1-70B | Generative | 93.5 | 94.1 | 90.1 | 93.2 | 96.4 | |
|
9 | MetaMetrics-RM-v1.0 | - | Custom Classifier | 93.4 | **98.3** | 86.4 | 90.8 | 98.2 | |
|
10 | Skywork-Critic-Llama-3.1-70B | Llama-3.1-70B | Generative | 93.3 | 96.6 | 87.9 | 93.1 | 95.5 | |
|
11 | QRM-Llama3.1-8B-v2 | Llama-3.1-8B | Sequence Classifier | 93.1 | 96.4 | 86.8 | 92.6 | 96.8 | |
|
12 | Skywork-Reward-Llama-3.1-8B-v0.2 | Llama-3.1-8B | Sequence Classifier | 93.1 | 94.7 | 88.4 | 92.7 | 96.7 | |
|
|
|
## License |
|
**Note**: This model is finetuned from a Skywork model under the following license agreement: |
|
|
|
The community usage of Skywork model requires [Skywork Community License](https://github.com/SkyworkAI/Skywork-Reward/blob/main/misc/Skywork%20Community%20License.pdf). The Skywork model supports commercial use. If you plan to use the Skywork model or its derivatives for commercial purposes, you must abide by terms and conditions within [Skywork Community License](https://github.com/SkyworkAI/Skywork-Reward/blob/main/misc/Skywork%20Community%20License.pdf). |
|
|
|
|
|
## To-Do |
|
+ [ ] Reward Model Usage code |
|
+ [ ] Architecture diagram |