Update README.md

README.md

@@ -11,10 +11,44 @@ This reward model is finetuned from the [Ray2333/GRM-llama3-8B-sftreg](https://h
 
 
 # Evaluation
-We evluated this reward model on reward-bench (https://huggingface.co/spaces/allenai/reward-bench) with an average score of 91.6.
+We evluated this reward model on reward-bench (https://huggingface.co/spaces/allenai/reward-bench) with an average score of 91.5.
 
 {'Chat': 0.9553072625698324, 'Chat Hard': 0.8618421052631579, 'Safety': 0.9116798876798876, 'Reasoning': 0.9361529437442025}
 
+Check our GRM series at 🤗[hugging face](https://huggingface.co/collections/Ray2333/grm-66882bdf7152951779506c7b), our paper at [Arxiv](https://arxiv.org/abs/2406.10216), and github repo at [Github](https://github.com/YangRui2015/Generalizable-Reward-Model).
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+## Evaluation
+We evaluate GRM-Llama3.2-3B-rewardmodel-ft on the [reward model benchmark](https://huggingface.co/spaces/allenai/reward-bench), where it achieved strong performance among models smaller than 7B.
+
+**When evaluated using reward bench, please add '--not_quantized' to avoid performance drop.**
+
+|       Model               | Average       |  Chat     |     Chat Hard      |     Safety      |     Reasoning     |   
+|:-------------------------:|:-------------:|:---------:|:---------:|:--------:|:-----------:|
+|[GRM_Llama3.1_8B_rewardmodel-ft](https://huggingface.co/Ray2333/GRM_Llama3.1_8B_rewardmodel-ft)**(8B)**| 92.6|95.0 |87.7|91.4|96.4| 
+|[GRM-Llama3-8B-rewardmodel-ft](https://huggingface.co/Ray2333/GRM-Llama3-8B-rewardmodel-ft)**(8B)**|91.5|95.5|86.2|90.8|93.6|
+|[GRM-Llama3.2-3B-rewardmodel-ft](https://huggingface.co/Ray2333/GRM-Llama3.2-3B-rewardmodel-ft)**(ours, 3B)**|90.9|91.6|84.9|92.7|94.6|
+| [GRM-gemma2-2B-rewardmodel-ft](https://huggingface.co/Ray2333/GRM-gemma2-2B-rewardmodel-ft) **(Ours, 2B)**| 88.4 | 93.0 | 77.2 | 92.2 | 91.2 |
+| google/gemini-1.5-pro-0514 | 88.2 | 92.3 | 80.6 | 87.9 |92.0 |
+|RLHFlow/pair-preference-model-LLaMA3-8B |87.1 | 98.3 | 65.8|89.7|94.7|
+|[GRM-llama3-8B-sftreg](https://huggingface.co/Ray2333/GRM-llama3-8B-sftreg)**(ours, 8B)**|87.0|98.6|67.8|89.2|92.3|
+|google/gemini-1.5-pro-0924 | 86.8 | 94.1|77.0|85.8 |90.2|
+|openai/gpt-4o-2024-08-06 | 86.7 | 96.1 | 76.1 | 88.1 | 86.6|
+|[GRM-llama3.2-3B-sftreg](https://huggingface.co/Ray2333/GRM-llama3.2-3B-sftreg)**(ours, 3B)**|85.8|96.4|67.1|88.2|91.6|
+|[GRM-Gemma-2B-rewardmodel-ft](https://huggingface.co/Ray2333/GRM-Gemma-2B-rewardmodel-ft) **(Ours, 2B)**|  84.7 | 89.4 | 75.2 | 85.5 | 88.8 |
+| openai/gpt-4o-2024-05-13 | 84.6|	96.6	| 70.4	| 86.5	| 84.9 |
+| sfairXC/FsfairX-LLaMA3-RM-v0.1 (8B) | 84.4	| 99.4 |	65.1 |	86.8	| 86.4 |
+| Nexusflow/Starling-RM-34B	|	82.6	|96.9	|57.2	|87.7	|88.5|
+|  [GRM-Gemma2-2B-sftreg](https://huggingface.co/Ray2333/GRM-Gemma2-2B-sftreg)**(Ours, 2B)** | 81.0 |  97.2    |  59.6 | 86.9 |   80.3 |
+|  [GRM-Gemma-2B-sftreg](https://huggingface.co/Ray2333/GRM-Gemma-2B-sftreg)**(Ours, 2B)** | 75.3    |   95.5  |  48.7 |   80.0 | 76.8     |  
+|    berkeley-nest/Starling-RM-7B-alpha      (7B)                          |    74.6      |   98      |   43.4   |   88.6  |    74.6    |  
+|  [Gemma-2B-rewardmodel-baseline](https://huggingface.co/Ray2333/Gemma-2B-rewardmodel-baseline)**(Ours, 2B)** | 73.7    |   94.1  |  46.1 |  79.6 |  75.0   |  
+|      openbmb/UltraRM-13b             (13B)                                 |    71.3      |   96.1    |   55.3   |   45.8  |    82      | 
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+
 ## Usage
 
 ```