Upload folder using huggingface_hub

README.md

@@ -39,7 +39,7 @@ Data is prepared with the `ocf_datapipes.training.pvnet` datapipe [2].
 ## Results
 
 The training logs for the current model can be found here:
- - [https://wandb.ai/openclimatefix/pvnet2.1/runs/yfxhuttk](https://wandb.ai/openclimatefix/pvnet2.1/runs/yfxhuttk)
+ - [https://wandb.ai/openclimatefix/pvnet2.1/runs/w9rr7op7](https://wandb.ai/openclimatefix/pvnet2.1/runs/w9rr7op7)
 
 
 The training logs for all model runs of PVNet2 can be found [here](https://wandb.ai/openclimatefix/pvnet2.1).

config.json

@@ -9,26 +9,7 @@
         0.9,
         0.98
     ],
-    "nwp_encoders_dict": {
-        "ukv": {
-            "_target_": "pvnet.models.multimodal.encoders.encoders3d.DefaultPVNet",
-            "_partial_": true,
-            "in_channels": 11,
-            "out_features": 256,
-            "number_of_conv3d_layers": 6,
-            "conv3d_channels": 32,
-            "image_size_pixels": 24
-        },
-        "ecmwf": {
-            "_target_": "pvnet.models.multimodal.encoders.encoders3d.DefaultPVNet",
-            "_partial_": true,
-            "in_channels": 12,
-            "out_features": 256,
-            "number_of_conv3d_layers": 4,
-            "conv3d_channels": 32,
-            "image_size_pixels": 12
-        }
-    },
+    "nwp_encoders_dict": null,
     "sat_encoder": {
         "_target_": "pvnet.models.multimodal.encoders.encoders3d.ResConv3DNet2",
         "_partial_": true,
@@ -56,17 +37,11 @@
     "include_gsp_yield_history": false,
     "forecast_minutes": 480,
     "history_minutes": 120,
-    "min_sat_delay_minutes": 30,
+    "min_sat_delay_minutes": 0,
     "sat_history_minutes": 90,
     "pv_history_minutes": 180,
-    "nwp_history_minutes": {
-        "ukv": 120,
-        "ecmwf": 120
-    },
-    "nwp_forecast_minutes": {
-        "ukv": 480,
-        "ecmwf": 480
-    },
+    "nwp_history_minutes": null,
+    "nwp_forecast_minutes": null,
     "optimizer": {
         "_target_": "pvnet.optimizers.EmbAdamWReduceLROnPlateau",
         "lr": 0.0001,

data_config.yaml

@@ -11,61 +11,6 @@ input_data:
     gsp_zarr_path: PLACEHOLDER.zarr
     history_minutes: 120
     time_resolution_minutes: 30
-  nwp:
-    ecmwf:
-      dropout_fraction: 1.0
-      dropout_timedeltas_minutes:
-      - -360
-      forecast_minutes: 480.0
-      history_minutes: 120
-      max_staleness_minutes: null
-      nwp_accum_channels:
-      - dswrf
-      - dlwrf
-      - sr
-      - duvrs
-      nwp_channels:
-      - t2m
-      - dswrf
-      - dlwrf
-      - hcc
-      - mcc
-      - lcc
-      - tcc
-      - sde
-      - sr
-      - duvrs
-      - u10
-      - v10
-      nwp_image_size_pixels_height: 12
-      nwp_image_size_pixels_width: 12
-      nwp_provider: ecmwf
-      nwp_zarr_path: PLACEHOLDER.zarr
-      time_resolution_minutes: 60
-    ukv:
-      dropout_fraction: 1.0
-      dropout_timedeltas_minutes:
-      - -180
-      forecast_minutes: 480.0
-      history_minutes: 120
-      max_staleness_minutes: null
-      nwp_channels:
-      - t
-      - dswrf
-      - dlwrf
-      - hcc
-      - mcc
-      - lcc
-      - sde
-      - r
-      - vis
-      - si10
-      - prate
-      nwp_image_size_pixels_height: 24
-      nwp_image_size_pixels_width: 24
-      nwp_provider: ukv
-      nwp_zarr_path: PLACEHOLDER.zarr
-      time_resolution_minutes: 60
   satellite:
     dropout_fraction: 0.2
     dropout_timedeltas_minutes:
@@ -74,7 +19,7 @@ input_data:
     - -15
     forecast_minutes: 0
     history_minutes: 90
-    live_delay_minutes: 30
+    live_delay_minutes: 0
     satellite_channels:
     - IR_016
     - IR_039

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c3e37766462d1f9e3b124863221dcc64386d998a247bf61ea012d99cb222c30b
-size 36316082
+oid sha256:6f3f95f32d1d322615036c62d9ed936ec6f9e76bd5bb5ccadf98b2b353dcf5c0
+size 7745602