Upload folder using huggingface_hub

README.md

@@ -16,6 +16,9 @@ pipeline_tag: robotics
 
 ## Model Description
 
+- [Github Link](https://github.com/intuitive-robots/MoDE_Diffusion_Policy) 
+- [Project Page](https://mbreuss.github.io/MoDE_Diffusion_Policy/) 
+
 This model implements a Mixture of Diffusion Experts architecture for robotic manipulation, combining transformer-based backbone with noise-only expert routing. For faster inference, we can precache the chosen expert for each timestep to reduce computation time.
 
 The model has been pretrained on a subset of OXE for 300k steps and finetuned for downstream tasks on the CALVIN/LIBERO dataset.
@@ -57,8 +60,8 @@ action = model.step(obs, goal)
 
 ### Configuration
 - **Optimizer**: AdamW
-- **Learning Rate**: {1e-4}
-- **Weight Decay**: {0.05}
+- **Learning Rate**: 0.0001
+- **Weight Decay**: 0.05
 
 ## License
 This model is released under the MIT license.