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README.md

@@ -40,7 +40,9 @@ The input data is prepared with the `ocf_data_sampler` [3].
 
 ## Results
 
-The training logs for the current model can be found [here on wandb](https://wandb.ai/openclimatefix/pvnet_summation/runs/).
+The training logs for the current model can be found here:
+ - [https://wandb.ai/openclimatefix/pvnet_summation/runs/j9c7l2ob](https://wandb.ai/openclimatefix/pvnet_summation/runs/j9c7l2ob)
+
 
 The training logs for all model runs of PVNet_summation can be found [here](https://wandb.ai/openclimatefix/pvnet_summation).
 

model_config.yaml

@@ -0,0 +1,29 @@
+_target_: pvnet_summation.models.flat_model.FlatModel
+output_quantiles:
+- 0.02
+- 0.1
+- 0.25
+- 0.5
+- 0.75
+- 0.9
+- 0.98
+model_name: openclimatefix/pvnet_uk_region_day_ahead
+model_version: 7736779ffe246d9f0d566b520fb55a9a44bce824
+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
+relative_scale_pvnet_outputs: false
+predict_difference_from_sum: true
+optimizer:
+  _target_: pvnet.optimizers.AdamWReduceLROnPlateau
+  lr: 0.0001
+  weight_decay: 0.25
+  amsgrad: true
+  patience: 10
+  factor: 0.1
+  threshold: 0.0
+num_locations: 331

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4eeab6b2e013b02ec09629fed30c61ce6a90f9b62d79889e1b47b18fa784cb5c
-size 95650414
+oid sha256:1dacc06f7d941a7af96ebf7b2cf1aa1590c667e6fa7eb2cd017b2ed1b2f1d37f
+size 177983470