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README.md

@@ -39,7 +39,7 @@ 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/rvlntlb4](https://wandb.ai/openclimatefix/pvnet2.1/runs/rvlntlb4)
+ - [https://wandb.ai/openclimatefix/pvnet2.1/runs/jn8nqzcp](https://wandb.ai/openclimatefix/pvnet2.1/runs/jn8nqzcp)
 
 
 The training logs for all model runs of PVNet2 can be found [here](https://wandb.ai/openclimatefix/pvnet2.1).

config.json

@@ -10,6 +10,7 @@
         0.98
     ],
     "interval_minutes": 15,
+    "use_weighted_loss": false,
     "pv_interval_minutes": 15,
     "nwp_encoders_dict": {
         "ecmwf": {
@@ -17,9 +18,9 @@
             "_partial_": true,
             "in_channels": 12,
             "out_features": 256,
-            "number_of_conv3d_layers": 6,
-            "conv3d_channels": 32,
-            "image_size_pixels": 32
+            "number_of_conv3d_layers": 12,
+            "conv3d_channels": 64,
+            "image_size_pixels": 64
         }
     },
     "pv_encoder": {

data_config.yaml

@@ -16,14 +16,14 @@ input_data:
       - prate
       - sde
       - sr
-      - t2m
+      - t
       - tcc
       - u10
       - v10
       - dlwrf
       - dswrf
-      nwp_image_size_pixels_height: 32
-      nwp_image_size_pixels_width: 32
+      nwp_image_size_pixels_height: 64
+      nwp_image_size_pixels_width: 64
       nwp_provider: ecmwf
       nwp_zarr_path: PLACEHOLDER.zarr
       time_resolution_minutes: 60

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:84d1d5ec959b1eb657d94c590fb4af84df15a55d9deb1bd02cdc13ae58c8695f
-size 330294354
+oid sha256:7a46976ec719bb0426a28083fa59f9f02639deb926e47fc13ac74c9019124306
+size 2628416002