Update README.md

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README.md

@@ -28,7 +28,8 @@ This model class sums the output of the PVNet model's GSP level predictions to m
 
 <!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
 
-The model is trained on data from 2017-2020 and validated on data from 2021. See experimental notes in the [the google doc](https://docs.google.com/document/d/1fbkfkBzp16WbnCg7RDuRDvgzInA6XQu3xh4NCjV-WDA/edit?usp=sharing) for more details.
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+The model is trained on data from Jan 2019- May 2022 and validated on data from May 2022 - May 2023.
 
 
 ### Preprocessing
@@ -38,13 +39,9 @@ Data is prepared with the `ocf_datapipes.training.pvnet` datapipe [3].
 
 ## Results
 
-The training logs for the current model can be found [here on wandb](https://wandb.ai/openclimatefix/pvnet_summation/runs/).
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-The training logs for all model runs of PVNet_summation can be found [here](https://wandb.ai/openclimatefix/pvnet_summation).
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+The training logs for the current model can be found [here on wandb](https://wandb.ai/openclimatefix/pvnet_day_ahead_summation).
 Some experimental notes can be found at in [the google doc](https://docs.google.com/document/d/1fbkfkBzp16WbnCg7RDuRDvgzInA6XQu3xh4NCjV-WDA/edit?usp=sharing)
 
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 ### Hardware
 
 Trained on a single NVIDIA Tesla T4