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1 Parent(s): 6af2283

Push model using huggingface_hub.

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Files changed (3) hide show
  1. README.md +1 -1
  2. config.json +48 -1
  3. pytorch_model.bin +2 -2
README.md CHANGED
@@ -38,7 +38,7 @@ Data is prepared with the `ocf_datapipes.training.pvnet` datapipe [2].
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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/pvnet2.1/runs/a5curcbh).
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  The training logs for all model runs of PVNet2 can be found [here](https://wandb.ai/openclimatefix/pvnet2.1).
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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/pvnet2.1/runs/None).
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  The training logs for all model runs of PVNet2 can be found [here](https://wandb.ai/openclimatefix/pvnet2.1).
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config.json CHANGED
@@ -1 +1,48 @@
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- {"_target_": "pvnet.models.multimodal.multimodal.Model", "image_encoder": {"_target_": "pvnet.models.multimodal.encoders.encoders3d.DefaultPVNet", "_partial_": true}, "encoder_out_features": 256, "encoder_kwargs": {"number_of_conv3d_layers": 6, "conv3d_channels": 32}, "include_sat": true, "include_nwp": true, "add_image_embedding_channel": true, "sat_image_size_pixels": 24, "nwp_image_size_pixels": 24, "number_sat_channels": 11, "number_nwp_channels": 2, "output_network": {"_target_": "pvnet.models.multimodal.linear_networks.networks.ResFCNet2", "_partial_": true}, "output_network_kwargs": {"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, "sat_history_minutes": 90, "nwp_history_minutes": 120, "nwp_forecast_minutes": 480, "optimizer": {"_target_": "pvnet.optimizers.AdamWReduceLROnPlateau", "lr": 0.0001, "weight_decay": 0.25, "amsgrad": true, "patience": 5, "factor": 0.1, "threshold": 0.002}, "min_sat_delay_minutes": 60}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "_target_": "pvnet.models.multimodal.multimodal.Model",
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+ "output_quantiles": null,
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+ "image_encoder": {
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+ "_target_": "pvnet.models.multimodal.encoders.encoders3d.DefaultPVNet",
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+ "_partial_": true
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+ },
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+ "encoder_out_features": 256,
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+ "encoder_kwargs": {
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+ "number_of_conv3d_layers": 6,
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+ "conv3d_channels": 32
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+ },
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+ "include_sat": true,
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+ "include_nwp": true,
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+ "add_image_embedding_channel": true,
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+ "sat_image_size_pixels": 24,
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+ "nwp_image_size_pixels": 24,
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+ "number_sat_channels": 11,
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+ "number_nwp_channels": 2,
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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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+ },
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+ "output_network_kwargs": {
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+ "fc_hidden_features": 128,
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+ "n_res_blocks": 6,
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+ "res_block_layers": 2,
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+ "dropout_frac": 0.0
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+ },
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+ "embedding_dim": 16,
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+ "include_sun": true,
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+ "include_gsp_yield_history": true,
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+ "forecast_minutes": 480,
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+ "history_minutes": 120,
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+ "sat_history_minutes": 90,
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+ "nwp_history_minutes": 120,
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+ "nwp_forecast_minutes": 480,
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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": 5,
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+ "factor": 0.1,
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+ "threshold": 0.002
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+ },
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+ "min_sat_delay_minutes": 60
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+ }
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
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