Script to tune learning rate.

Scripts/downscale.sh

+#!/usr/bin/env bash
+
 # activate conda environment
 conda activate climax
 
@@ -22,9 +24,9 @@ for loss in ${LOSS[@]}; do
 
     # change loss function in configuration
     if [ "$loss" = "L1Loss" ] || [ "$loss" = "MSELoss" ]; then
-	sed -i "s/LOSS\s*=.*/LOSS=$loss()/" ./climax/main/config.py
+	    sed -i "s/LOSS\s*=.*/LOSS=$loss()/" ./climax/main/config.py
     else
-	sed -i "s/LOSS\s*=.*/LOSS=$loss(min_amount=1)/" ./climax/main/config.py
+	    sed -i "s/LOSS\s*=.*/LOSS=$loss(min_amount=1)/" ./climax/main/config.py
     fi
 
     # iterate over weight decay values

Scripts/lr_range_test.sh

+#!/usr/bin/env bash
+
+# activate conda environment
+conda activate climax
+
+# move to project repository
+cd ~/git/climax
+
+# loss functions
+LOSS=(L1Loss BernoulliGammaLoss BernoulliWeibullLoss MSELoss)
+
+# iterate over loss functions
+for loss in ${LOSS[@]}; do
+
+    # change loss function in configuration
+    if [ "$loss" = "L1Loss" ] || [ "$loss" = "MSELoss" ]; then
+	    sed -i "s/LOSS\s*=.*/LOSS=$loss()/" ./climax/main/config.py
+    else
+	    sed -i "s/LOSS\s*=.*/LOSS=$loss(min_amount=1)/" ./climax/main/config.py
+    fi
+
+    # run learning rate range test
+    python climax/main/lr_range_test.py
+done