AdamW config with defaut weight decay (#35)

* AdamW with XP in an experiment

* Bump version V2.4.3

configs/experiment/RandLaNet_base_run_FR_WD.yaml

@@ -0,0 +1,25 @@
+# @package _global_
+defaults:
+  - override /datamodule/transforms/augmentations: light.yaml
+  - override /model/optimizer: AdamW.yaml
+
+
+logger:
+  comet:
+    experiment_name: "RandLaNet - FR Data"
+
+datamodule:
+  batch_size: 32
+
+trainer:
+  num_sanity_val_steps: 2
+  min_epochs: 100
+  max_epochs: 150
+  # gpus: [1]
+
+callbacks:
+  early_stopping:
+    patience: 20
+
+predict:
+  interpolation_k: 10

configs/model/optimizer/AdamW.yaml

@@ -0,0 +1,4 @@
+_target_: functools.partial
+_args_: 
+  - "${get_method:torch.optim.AdamW}"
+lr: ${model.lr}  # not needed since we give it in model.py ?

package_metadata.yaml

@@ -1,4 +1,4 @@
-__version__: "2.4.2"
+__version__: "2.4.3"
 __name__: "myria3d"
 __url__: "https://github.com/IGNF/myria3d"
 __description__: "Multiclass Semantic Segmentation for Lidar Point Cloud"