Update README links

README.md

@@ -14,13 +14,18 @@ library_name: pytorch
 ## Model Description
 
 <!-- Provide a longer summary of what this model is/does. -->
-This model class uses satellite data, numericl weather predictions, and recent Grid Service Point( GSP) PV power output to forecast the near-term (~8 hours) PV power output at all GSPs. More information can be found in the model repo [1] and experimental notes in [this google doc](https://docs.google.com/document/d/1fbkfkBzp16WbnCg7RDuRDvgzInA6XQu3xh4NCjV-WDA/edit?usp=sharing).
+This model class uses satellite data, numericl weather predictions, and recent Grid Service Point( GSP) PV power output to forecast the day-ahead (36 hour) PV power output at all GSPs. More information can be found in the model repo [1] and experimental notes in [this google doc](https://docs.google.com/document/d/13POUvP8thrNekW0C-qF4hG3hLGfPOjwZe17M7Q6l85Y/edit?usp=sharing).
 
 - **Developed by:** openclimatefix
 - **Model type:** Fusion model
 - **Language(s) (NLP):** en
 - **License:** mit
 
+## Results
+
+The training logs for the current model can be found here:
+ - [https://wandb.ai/openclimatefix/pvnet2.1/runs/[]](https://wandb.ai/openclimatefix/pvnet_day_ahead_36_hours/workspace?)
+
 
 # Training Details
 
@@ -38,13 +43,11 @@ Data is prepared with the `ocf_datapipes.training.pvnet` datapipe [2].
 
 ## Results
 
-The training logs for the current model can be found here:
- - [https://wandb.ai/openclimatefix/pvnet2.1/runs/[]](https://wandb.ai/openclimatefix/pvnet2.1/runs/[])
+The training logs for the current model can be found [here](https://wandb.ai/openclimatefix/pvnet_day_ahead_36_hours/workspace?)
 
 
-The training logs for all model runs of PVNet2 can be found [here](https://wandb.ai/openclimatefix/pvnet2.1).
 
-Some experimental notes can be found at in [the google doc](https://docs.google.com/document/d/1fbkfkBzp16WbnCg7RDuRDvgzInA6XQu3xh4NCjV-WDA/edit?usp=sharing)
+The training logs for all model runs of PVNet2 can be found [here](https://wandb.ai/openclimatefix/pvnet2.1).
 
 
 ### Hardware