Upload folder using huggingface_hub

README.md

@@ -39,7 +39,7 @@ Data is prepared with the `ocf_data_sampler/torch_datasets/datasets/pvnet_uk` Da
 ## Results
 
 The training logs for the current model can be found here:
- - [https://wandb.ai/openclimatefix/NL-Solar/runs/r4naockv](https://wandb.ai/openclimatefix/NL-Solar/runs/r4naockv)
+ - [https://wandb.ai/openclimatefix/NL-Solar/runs/l06ylklb](https://wandb.ai/openclimatefix/NL-Solar/runs/l06ylklb)
 
 
 The training logs for all model runs of PVNet2 can be found [here](https://wandb.ai/openclimatefix/pvnet2.1).
@@ -60,4 +60,4 @@ This model was trained using the following Open Climate Fix packages:
 
 The versions of these packages can be found below:
  - pvnet==4.1.18
- - ocf-data-sampler==0.2.31
+ - ocf-data-sampler==0.2.34

data_config.yaml

@@ -27,9 +27,9 @@ input_data:
       dropout_fraction: 1.0
       dropout_timedeltas_minutes:
       - -180
-      image_size_pixels_height: 36
-      image_size_pixels_width: 36
-      interval_end_minutes: 2880
+      image_size_pixels_height: 30
+      image_size_pixels_width: 30
+      interval_end_minutes: 2160
       interval_start_minutes: -120
       max_staleness_minutes: null
       normalisation_constants:
@@ -169,11 +169,11 @@ input_data:
   site:
     capacity_mode: variable
     file_path: /home/zak/projects/PVNet/nl_solar/pv_data/netherlands_pv_data_v2.nc
-    interval_end_minutes: 2880
+    interval_end_minutes: 2160
     interval_start_minutes: -2880
     metadata_file_path: /home/zak/projects/PVNet/nl_solar/pv_data/netherlands_metadata.csv
     time_resolution_minutes: 15
   solar_position:
-    interval_end_minutes: 2880
+    interval_end_minutes: 2160
     interval_start_minutes: -2880
     time_resolution_minutes: 15

model_config.yaml

@@ -15,7 +15,7 @@ nwp_encoders_dict:
     out_features: 64
     number_of_conv3d_layers: 4
     conv3d_channels: 32
-    image_size_pixels: 36
+    image_size_pixels: 30
 sat_encoder:
   _target_: pvnet.models.multimodal.encoders.encoders3d.DefaultPVNet
   _partial_: true
@@ -25,14 +25,6 @@ sat_encoder:
   conv3d_channels: 32
   image_size_pixels: 100
 add_image_embedding_channel: false
-pv_encoder:
-  _target_: pvnet.models.multimodal.site_encoders.encoders.SingleAttentionNetwork
-  _partial_: true
-  num_sites: 1
-  out_features: 64
-  num_heads: 4
-  kdim: 64
-  id_embed_dim: 64
 target_key: site
 output_network:
   _target_: pvnet.models.multimodal.linear_networks.networks.ResFCNet2
@@ -44,7 +36,10 @@ output_network:
 embedding_dim: 16
 include_sun: true
 include_gsp_yield_history: false
-forecast_minutes: 2880
+include_site_yield_history: true
+include_time: true
+adapt_batches: true
+forecast_minutes: 2160
 history_minutes: 2880
 interval_minutes: 15
 min_sat_delay_minutes: 60
@@ -54,7 +49,7 @@ pv_interval_minutes: 15
 nwp_history_minutes:
   ecmwf: 120
 nwp_forecast_minutes:
-  ecmwf: 2880
+  ecmwf: 2160
 nwp_interval_minutes:
   ecmwf: 60
 optimizer:

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5b61f0e9394122e2bf4e74f590cb5f7b79a7602c69fdcc4915412531132d9da9
-size 1548612123
+oid sha256:8bfe52f9ed5dff412bef2dc0b3a085b49d86cf88ab590ded2d87802d785b7c53
+size 1200460551