Upload folder using huggingface_hub
Browse files- README.md +1 -1
- config.json +21 -4
- data_config.yaml +28 -1
- pytorch_model.bin +2 -2
README.md
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@@ -39,7 +39,7 @@ 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:
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- [https://wandb.ai/openclimatefix/PVNet_intra/runs/
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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:
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- [https://wandb.ai/openclimatefix/PVNet_intra/runs/dexo34ud](https://wandb.ai/openclimatefix/PVNet_intra/runs/dexo34ud)
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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
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@@ -9,6 +9,17 @@
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0.9,
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0.98
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],
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"sat_encoder": {
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"_target_": "pvnet.models.multimodal.encoders.encoders3d.DefaultPVNet",
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"_partial_": true,
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"include_gsp_yield_history": false,
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"forecast_minutes": 480,
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"history_minutes": 120,
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"min_sat_delay_minutes":
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"sat_history_minutes": 90,
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"pv_history_minutes": 180,
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"nwp_history_minutes":
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"optimizer": {
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"_target_": "pvnet.optimizers.EmbAdamWReduceLROnPlateau",
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"lr": 0.0001,
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0.9,
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0.98
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],
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"nwp_encoders_dict": {
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"ecmwf": {
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"_target_": "pvnet.models.multimodal.encoders.encoders3d.DefaultPVNet",
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"_partial_": true,
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"in_channels": 11,
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"out_features": 256,
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"number_of_conv3d_layers": 4,
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"conv3d_channels": 32,
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"image_size_pixels": 12
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}
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},
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"sat_encoder": {
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"_target_": "pvnet.models.multimodal.encoders.encoders3d.DefaultPVNet",
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"_partial_": true,
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"include_gsp_yield_history": false,
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"forecast_minutes": 480,
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"history_minutes": 120,
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"min_sat_delay_minutes": 30,
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"sat_history_minutes": 90,
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"pv_history_minutes": 180,
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"nwp_history_minutes": {
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"ecmwf": 120
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},
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"nwp_forecast_minutes": {
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"ecmwf": 480
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},
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"nwp_interval_minutes": {
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"ecmwf": 60
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},
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"optimizer": {
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"_target_": "pvnet.optimizers.EmbAdamWReduceLROnPlateau",
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"lr": 0.0001,
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data_config.yaml
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@@ -10,6 +10,33 @@ input_data:
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interval_start_minutes: -120
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time_resolution_minutes: 30
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zarr_path: PLACEHOLDER.zarr
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satellite:
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channels:
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- IR_016
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image_size_pixels_width: 24
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interval_end_minutes: 0
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interval_start_minutes: -90
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live_delay_minutes:
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satellite_image_size_pixels_height: 24
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satellite_image_size_pixels_width: 24
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time_resolution_minutes: 5
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interval_start_minutes: -120
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time_resolution_minutes: 30
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zarr_path: PLACEHOLDER.zarr
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nwp:
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ecmwf:
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channels:
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- t2m
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- dswrf
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- dlwrf
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- hcc
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- mcc
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- lcc
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- tcc
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- sd
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- sr
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- duvrs
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- u10
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- v10
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dropout_fraction: 1.0
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dropout_timedeltas_minutes:
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- -180
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forecast_minutes: 720.0
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image_size_pixels_height: 12
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image_size_pixels_width: 12
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interval_end_minutes: 480
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interval_start_minutes: -120
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max_staleness_minutes: null
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provider: ecmwf
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time_resolution_minutes: 60
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zarr_path: PLACEHOLDER.zarr
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satellite:
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channels:
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- IR_016
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image_size_pixels_width: 24
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interval_end_minutes: 0
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interval_start_minutes: -90
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live_delay_minutes: 30
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satellite_image_size_pixels_height: 24
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satellite_image_size_pixels_width: 24
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time_resolution_minutes: 5
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pytorch_model.bin
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:ee782590f24c3d7be6727e7c0edc0b7245e51f8b0d002f407f29314470f92f77
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size 36002022
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