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  1. README.md +3 -1
  2. model_config.yaml +29 -0
  3. pytorch_model.bin +2 -2
README.md CHANGED
@@ -40,7 +40,9 @@ The input data is prepared with the `ocf_data_sampler` [3].
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  ## Results
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- The training logs for the current model can be found [here on wandb](https://wandb.ai/openclimatefix/pvnet_summation/runs/).
 
 
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  The training logs for all model runs of PVNet_summation can be found [here](https://wandb.ai/openclimatefix/pvnet_summation).
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  ## Results
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+ The training logs for the current model can be found here:
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+ - [https://wandb.ai/openclimatefix/pvnet_summation/runs/ie9cpbgo](https://wandb.ai/openclimatefix/pvnet_summation/runs/ie9cpbgo)
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+
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  The training logs for all model runs of PVNet_summation can be found [here](https://wandb.ai/openclimatefix/pvnet_summation).
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model_config.yaml ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ _target_: pvnet_summation.models.flat_model.FlatModel
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+ output_quantiles:
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+ - 0.02
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+ - 0.1
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+ - 0.25
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+ - 0.5
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+ - 0.75
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+ - 0.9
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+ - 0.98
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+ model_name: openclimatefix/pvnet_uk_region
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+ model_version: 10e4da56dfde367db448ff6742bf92d0e4e31a86
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+ output_network:
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+ _target_: pvnet.models.multimodal.linear_networks.networks.ResFCNet2
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+ _partial_: true
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+ fc_hidden_features: 128
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+ n_res_blocks: 2
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+ res_block_layers: 2
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+ dropout_frac: 0.1
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+ relative_scale_pvnet_outputs: false
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+ predict_difference_from_sum: true
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+ optimizer:
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+ _target_: pvnet.optimizers.AdamWReduceLROnPlateau
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+ lr: 0.0001
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+ weight_decay: 0.25
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+ amsgrad: true
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+ patience: 10
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+ factor: 0.1
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+ threshold: 0.0
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+ num_locations: 331
pytorch_model.bin CHANGED
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