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README.md

@@ -1,7 +1,7 @@
 ---
 language: en
-license: mit
 library_name: pytorch
+license: mit
 ---
 
 
@@ -28,12 +28,14 @@ This model class sums the output of the PVNet model's GSP level predictions to m
 
 <!-- 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 the output predictions of our PVNet model which gives GSP (i.e. UK regional) level predictions
+of solar power across Great Britain. This model is trained to take those predictions and use them to estimate
+the national total with uncertainty estimates.
 
 
 ### Preprocessing
 
-Data is prepared with the `ocf_datapipes.training.pvnet` datapipe [3].
+The input data is prepared with the `ocf_data_sampler` [3].
 
 
 ## Results
@@ -53,4 +55,4 @@ Trained on a single NVIDIA Tesla T4
 
 - [1] https://github.com/openclimatefix/PVNet_summation
 - [2] https://github.com/openclimatefix/PVNet
-- [3] https://github.com/openclimatefix/ocf_datapipes
+- [3] https://github.com/openclimatefix/ocf-data-sampler

config.json

@@ -1,32 +1,23 @@
 {
     "_target_": "pvnet_summation.models.flat_model.FlatModel",
-    "output_quantiles": [
-        0.02,
-        0.1,
-        0.25,
-        0.5,
-        0.75,
-        0.9,
-        0.98
-    ],
+    "output_quantiles": null,
     "model_name": "openclimatefix/pvnet_uk_region",
-    "model_version": "35d55181a82440bdd087f380d650bfd0b64bd322",
+    "model_version": "20b882bd4ceaee190a1c994d861f8e5d553ea843",
     "output_network": {
         "_target_": "pvnet.models.multimodal.linear_networks.networks.ResFCNet2",
         "_partial_": true,
         "fc_hidden_features": 128,
         "n_res_blocks": 2,
         "res_block_layers": 2,
-        "dropout_frac": 0.1
+        "dropout_frac": 0.0
     },
-    "relative_scale_pvnet_outputs": true,
-    "predict_difference_from_sum": true,
+    "predict_difference_from_sum": false,
     "optimizer": {
         "_target_": "pvnet.optimizers.AdamWReduceLROnPlateau",
         "lr": 0.0001,
         "weight_decay": 0.25,
         "amsgrad": true,
-        "patience": 10,
+        "patience": 20,
         "factor": 0.1,
         "threshold": 0.0
     }

pytorch_model.bin

@@ -1,3 +1,3 @@
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-size 46334718
+oid sha256:f635c4196dc6ddd13ee6d5d7eb3e784dfa018c04b4c30699dd0712cfd094b011
+size 22945574