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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/jn8nqzcp](https://wandb.ai/openclimatefix/pvnet2.1/runs/jn8nqzcp)
+ - [https://wandb.ai/openclimatefix/pvnet2.1/runs/v4xgpar9](https://wandb.ai/openclimatefix/pvnet2.1/runs/v4xgpar9)
 
 
 The training logs for all model runs of PVNet2 can be found [here](https://wandb.ai/openclimatefix/pvnet2.1).

config.json

@@ -14,12 +14,12 @@
     "pv_interval_minutes": 15,
     "nwp_encoders_dict": {
         "ecmwf": {
-            "_target_": "pvnet.models.multimodal.encoders.encoders3d.DefaultPVNet",
+            "_target_": "pvnet.models.multimodal.encoders.encoders3d.ResConv3DNet2",
             "_partial_": true,
             "in_channels": 12,
             "out_features": 256,
-            "number_of_conv3d_layers": 12,
-            "conv3d_channels": 64,
+            "n_res_blocks": 4,
+            "hidden_channels": 256,
             "image_size_pixels": 64
         }
     },
@@ -35,12 +35,12 @@
     "output_network": {
         "_target_": "pvnet.models.multimodal.linear_networks.networks.ResFCNet2",
         "_partial_": true,
-        "fc_hidden_features": 128,
+        "fc_hidden_features": 512,
         "n_res_blocks": 6,
         "res_block_layers": 2,
         "dropout_frac": 0.0
     },
-    "embedding_dim": 16,
+    "embedding_dim": 128,
     "include_sun": true,
     "include_gsp_yield_history": false,
     "forecast_minutes": 2880,
@@ -58,7 +58,7 @@
     "optimizer": {
         "_target_": "pvnet.optimizers.EmbAdamWReduceLROnPlateau",
         "lr": 0.0001,
-        "weight_decay": 0.01,
+        "weight_decay": 0.25,
         "amsgrad": true,
         "patience": 5,
         "factor": 0.1,

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 2628416002
+oid sha256:1be652c35d18ac4ec55d79363e3f98c145bc81838dcd529984d92af5d2a0ac20
+size 283446466