Update README.md

README.md

@@ -27,7 +27,7 @@ pipeline_tag: text-classification
 
 We include only public data in an attempt to demonstrate that high-performance reward models can be achieved with a relatively small dataset and straightforward data curation techniques, without further algorithmic or architectural modifications. The sources of data used in the [Skywork Reward Data Collection](https://huggingface.co/collections/Skywork/skywork-reward-data-collection-66d7fda6a5098dc77035336d) are detailed in the [Data Mixture](#data-mixture) section below.
 
-The resulting reward models excel at handling preferences in complex scenarios, including challenging preference pairs, and span various domains such as mathematics, coding, and safety. As of September 2024, they hold the first and the third positions on the [RewardBench leaderboard](https://huggingface.co/spaces/allenai/reward-bench).
+The resulting reward models excel at handling preferences in complex scenarios, including challenging preference pairs, and span various domains such as mathematics, coding, and safety.
 
 ## Data Mixture