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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/a86rzyoc](https://wandb.ai/openclimatefix/pvnet2.1/runs/a86rzyoc)
+ - [https://wandb.ai/openclimatefix/pvnet2.1/runs/5llq8iw6](https://wandb.ai/openclimatefix/pvnet2.1/runs/5llq8iw6)
 
 
 The training logs for all model runs of PVNet2 can be found [here](https://wandb.ai/openclimatefix/pvnet2.1).

config.json

@@ -10,15 +10,16 @@
         0.98
     ],
     "interval_minutes": 15,
+    "use_weighted_loss": false,
     "nwp_encoders_dict": {
         "ecmwf": {
-            "_target_": "pvnet.models.multimodal.encoders.encoders3d.DefaultPVNet",
+            "_target_": "pvnet.models.multimodal.encoders.encoders3d.ResConv3DNet2",
             "_partial_": true,
             "in_channels": 6,
             "out_features": 256,
-            "number_of_conv3d_layers": 6,
-            "conv3d_channels": 32,
-            "image_size_pixels": 32
+            "n_res_blocks": 4,
+            "hidden_channels": 256,
+            "image_size_pixels": 64
         }
     },
     "wind_encoder": {
@@ -33,12 +34,12 @@
     "output_network": {
         "_target_": "pvnet.models.multimodal.linear_networks.networks.ResFCNet2",
         "_partial_": true,
-        "fc_hidden_features": 128,
+        "fc_hidden_features": 256,
         "n_res_blocks": 6,
         "res_block_layers": 2,
         "dropout_frac": 0.0
     },
-    "embedding_dim": 16,
+    "embedding_dim": 32,
     "include_sun": false,
     "include_gsp_yield_history": false,
     "forecast_minutes": 2880,
@@ -56,7 +57,7 @@
     "optimizer": {
         "_target_": "pvnet.optimizers.EmbAdamWReduceLROnPlateau",
         "lr": 0.0001,
-        "weight_decay": 0.01,
+        "weight_decay": 0.25,
         "amsgrad": true,
         "patience": 5,
         "factor": 0.1,

data_config.yaml

@@ -7,6 +7,9 @@ input_data:
   default_history_minutes: 60
   nwp:
     ecmwf:
+      dropout_fraction: 1.0
+      dropout_timedeltas_minutes:
+      - -420
       forecast_minutes: 2880
       history_minutes: 60
       nwp_channels:
@@ -16,8 +19,8 @@ input_data:
       - v10
       - v100
       - v200
-      nwp_image_size_pixels_height: 32
-      nwp_image_size_pixels_width: 32
+      nwp_image_size_pixels_height: 128
+      nwp_image_size_pixels_width: 128
       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 sha256:4b48cdb683feca068296aaaff67c0c33511058dcbc1ac086a757f71436c59d73
-size 330239818
+oid sha256:2b191f52cdc8932d02ce45718bb80cd719b7ba98a9d81214316a936f164bedeb
+size 271691706