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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/s684m1dk](https://wandb.ai/openclimatefix/pvnet2.1/runs/s684m1dk)
+ - [https://wandb.ai/openclimatefix/pvnet2.1/runs/kqaknmuc](https://wandb.ai/openclimatefix/pvnet2.1/runs/kqaknmuc)
 
 
 The training logs for all model runs of PVNet2 can be found [here](https://wandb.ai/openclimatefix/pvnet2.1).

config.json

@@ -12,33 +12,11 @@
                 0.9,
                 0.98
             ],
-            "output_network": {
-                "_target_": "pvnet.models.multimodal.linear_networks.networks.ResFCNet2",
-                "_partial_": true,
-                "fc_hidden_features": 128,
-                "n_res_blocks": 6,
-                "res_block_layers": 2,
-                "dropout_frac": 0.0
-            },
-            "embedding_dim": 16,
-            "include_sun": true,
-            "include_gsp_yield_history": false,
-            "forecast_minutes": 480,
-            "history_minutes": 120,
-            "optimizer": {
-                "_target_": "pvnet.optimizers.EmbAdamWReduceLROnPlateau",
-                "lr": 0.0001,
-                "weight_decay": 0.25,
-                "amsgrad": true,
-                "patience": 5,
-                "factor": 0.1,
-                "threshold": 0.002
-            },
             "nwp_encoders_dict": {
                 "ukv": {
                     "_target_": "pvnet.models.multimodal.encoders.encoders3d.DefaultPVNet",
                     "_partial_": true,
-                    "in_channels": 10,
+                    "in_channels": 11,
                     "out_features": 256,
                     "number_of_conv3d_layers": 6,
                     "conv3d_channels": 32,
@@ -47,13 +25,43 @@
                 "ecmwf": {
                     "_target_": "pvnet.models.multimodal.encoders.encoders3d.DefaultPVNet",
                     "_partial_": true,
-                    "in_channels": 8,
+                    "in_channels": 12,
                     "out_features": 256,
                     "number_of_conv3d_layers": 4,
                     "conv3d_channels": 32,
                     "image_size_pixels": 12
                 }
             },
+            "sat_encoder": {
+                "_target_": "pvnet.models.multimodal.encoders.encoders3d.ResConv3DNet2",
+                "_partial_": true,
+                "in_channels": 11,
+                "out_features": 256,
+                "image_size_pixels": 24,
+                "hidden_channels": 32,
+                "n_res_blocks": 3,
+                "res_block_layers": 3,
+                "batch_norm": true,
+                "dropout_frac": 0.0
+            },
+            "add_image_embedding_channel": false,
+            "pv_encoder": null,
+            "output_network": {
+                "_target_": "pvnet.models.multimodal.linear_networks.networks.ResFCNet2",
+                "_partial_": true,
+                "fc_hidden_features": 128,
+                "n_res_blocks": 6,
+                "res_block_layers": 2,
+                "dropout_frac": 0.0
+            },
+            "embedding_dim": 16,
+            "include_sun": true,
+            "include_gsp_yield_history": false,
+            "forecast_minutes": 480,
+            "history_minutes": 120,
+            "min_sat_delay_minutes": 60,
+            "sat_history_minutes": 90,
+            "pv_history_minutes": 180,
             "nwp_history_minutes": {
                 "ukv": 120,
                 "ecmwf": 120
@@ -62,18 +70,16 @@
                 "ukv": 480,
                 "ecmwf": 480
             },
-            "add_image_embedding_channel": false,
-            "sat_encoder": {
-                "_target_": "pvnet.models.multimodal.encoders.encoders3d.DefaultPVNet",
-                "_partial_": true,
-                "in_channels": 11,
-                "out_features": 256,
-                "number_of_conv3d_layers": 6,
-                "conv3d_channels": 32,
-                "image_size_pixels": 24
+            "optimizer": {
+                "_target_": "pvnet.optimizers.EmbAdamWReduceLROnPlateau",
+                "lr": 0.0001,
+                "weight_decay": 0.25,
+                "amsgrad": true,
+                "patience": 5,
+                "factor": 0.1,
+                "threshold": 0.002
             },
-            "min_sat_delay_minutes": 60,
-            "sat_history_minutes": 90
+            "adapt_batches": true
         }
     ]
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:193a0371d8eab2e0197072ca86136cd980cab653a72864356866b96cb3bb9229
-size 48650154
+oid sha256:13be12c61da96a71ec3acb2cf5fd8ee4cdcd717748b0ec5d6e9fde1a9b2ce42b
+size 34551350