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README.md

@@ -28,7 +28,7 @@ This model class uses satellite data, numericl weather predictions, and recent G
 
 <!-- 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.
+The model is trained on data from 2019-2022 and validated on data from 2022-2023. See experimental notes in the [the google doc](https://docs.google.com/document/d/1fbkfkBzp16WbnCg7RDuRDvgzInA6XQu3xh4NCjV-WDA/edit?usp=sharing) for more details.
 
 
 ### Preprocessing
@@ -38,7 +38,9 @@ Data is prepared with the `ocf_datapipes.training.pvnet` datapipe [2].
 
 ## Results
 
-The training logs for the current model can be found [here on wandb](https://wandb.ai/openclimatefix/pvnet2.1/runs/None).
+The training logs for the current model can be found here:
+ - [https://wandb.ai/openclimatefix/pvnet2.1/runs/okvss975](https://wandb.ai/openclimatefix/pvnet2.1/runs/okvss975)
+
 
 The training logs for all model runs of PVNet2 can be found [here](https://wandb.ai/openclimatefix/pvnet2.1).
 

config.json

@@ -14,7 +14,7 @@
         "ecmwf": {
             "_target_": "pvnet.models.multimodal.encoders.encoders3d.DefaultPVNet",
             "_partial_": true,
-            "in_channels": 14,
+            "in_channels": 6,
             "out_features": 256,
             "number_of_conv3d_layers": 6,
             "conv3d_channels": 32,

data_config.yaml

@@ -10,14 +10,6 @@ input_data:
       forecast_minutes: 2880
       history_minutes: 60
       nwp_channels:
-      - hcc
-      - lcc
-      - mcc
-      - prate
-      - sde
-      - sr
-      - t
-      - tcc
       - u10
       - u100
       - u200

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c6375c39f86d26aa0819ddf8d50e36f74b0870a2f56f1eb356154c8352ae6943
-size 330267466
+oid sha256:4212bddc44ba6766871c5b6968a1378839ba4c1a6baa3bd23ad0220faefd08b3
+size 330239818