Update README.md

README.md

@@ -16,21 +16,15 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Qwen2.5-3B-MP-RM
 
-This model is a fine-tuned version of [Qwen/Qwen2.5-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct) on the iqwiki-kor/MP-86k dataset.
+This model is a fine-tuned version of [Qwen/Qwen2.5-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct) on the [iqwiki-kor/MP-86k](https://huggingface.co/datasets/iqwiki-kor/MP-86k) dataset.
 
-## Model description
+## RewardBench Evaluation
+| Model                                                                                               | Chat | Chat-Hard | Safety | Reasoning | Avg. |
+|-----------------------------------------------------------------------------------------------------|---------:|-------:|------:|--------:|--------:|
+| [iqwiki-kor/Qwen2.5-3B-MP-RM](https://huggingface.co/iqwiki-kor/Qwen2.5-3B-MP-RM)        |89.1| 75.2| 87.3| 95.4| 86.8|
+| [RLHFlow/ArmoRM-Llama3-8B-v0.1](https://huggingface.co/RLHFlow/ArmoRM-Llama3-8B-v0.1)                         |96.9 |76.8 |90.5 |97.3 |90.4|
 
-More information needed
 
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
 
 ### Training hyperparameters
 
@@ -49,13 +43,3 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_ratio: 0.1
 - num_epochs: 1
 
-### Training results
-
-
-
-### Framework versions
-
-- Transformers 4.45.1
-- Pytorch 2.4.0
-- Datasets 2.21.0
-- Tokenizers 0.20.0