Update I/O and configs

Configs/train_1photon.yaml

@@ -1,10 +1,10 @@
 # configs/train_1photon.yaml
 experiment:
-  name: "1photon_12keV"
+  name: "1photon_15keV"
 
 data:
   sample_folder: "/mnt/sls_det_storage/moench_data/MLXID/Samples/Simulation/Moench040"
-  energy: 12 ### in keV
+  energy: 15 ### in keV
   noise_keV: 0.13
   noise_threshold: 0.0 ### set values below (noise * noise_threshold) to zero
   num_aug_ops: 1
@@ -22,7 +22,7 @@ model:
   version: "260511" # 251022
 
 training:
-  epochs: 150
+  epochs: 500
   learning_rate: 1.0e-3
   scheduler_factor: 0.7
   scheduler_patience: 3

Configs/train_2photon.yaml

@@ -1,10 +1,10 @@
 # configs/train_2photon.yaml
 experiment:
-  name: "2photon_12keV"
+  name: "2photon_15keV"
 
 data:
-  sample_folder: "/home/xie_x1/MLXID/DataProcess/Samples/SimuPileupSample/"
-  energy: 12 ### in keV
+  sample_folder: "/home/xie_x1/MLXID/DataProcess/Samples/15keV_SimuPileupSample/"
+  energy: 15 ### in keV
   sample_ratio: 1.0
   noise_keV: 0.13
 
@@ -18,7 +18,7 @@ data:
   n_size: 6 ### size of sub-images containing 2 photons
 
 model:
-  version: "260608" ## 260608
+  version: "260610" ### 260610 is the best one as of 260622
 
 training:
   epochs: 1000

Configs/train_3photon.yaml

@@ -1,12 +1,12 @@
 # configs/train_3photon.yaml
 experiment:
-  name: "3photon_12keV"
+  name: "3photon_15keV"
 
 data:
   sample_folder: "/home/xie_x1/MLXID/DeepLearning/PileupSample"
-  energy: 12 ### in keV
+  energy: 15 ### in keV
 
-  batch_size_train: 4096
+  batch_size_train: 512
   batch_size_val: 8192
   batch_size_test: 8192
   num_workers: 16