diff --git a/linfa/tests/test_no_disc_TP15_error_estimation.py b/linfa/tests/test_no_disc_TP15_error_estimation.py
index 9869dc6..c6ae65f 100644
--- a/linfa/tests/test_no_disc_TP15_error_estimation.py
+++ b/linfa/tests/test_no_disc_TP15_error_estimation.py
@@ -26,9 +26,9 @@ def run_test():
     exp.batch_size          = 200           # int: Number of samples generated (default 100)
     exp.true_data_num       = 2             # double: Number of true model evaluted (default 2)
     exp.n_iter              = 10000         # int: Number of iterations (default 25001)
-    exp.lr                  = 0.0005         # float: Learning rate (default 0.003)
+    exp.lr                  = 0.00001        # float: Learning rate (default 0.003)
     exp.lr_decay            = 0.9999        # float:  Learning rate decay (default 0.9999)
-    exp.log_interval        = 1            # int: How often to show loss stat (default 10)
+    exp.log_interval        = 1             # int: How often to show loss stat (default 10)
 
     exp.run_nofas           = False         # normalizing flow with adaptive surrogate
     exp.surrogate_type      = 'discrepancy' # type of surrogate we are using
@@ -56,9 +56,9 @@ def run_test():
 
     ## TODO: How to update this transformation to include variance of noise
     # Define transformation
-    trsf_info = [['tanh', -30.0, 30.0, 500.0, 1500.0],
+    trsf_info = [['tanh', -40.0, 30.0, 500.0, 1500.0],
                  ['tanh', -30.0, 30.0, -30000.0, -15000.0],
-                 ['tanh', -15.0, 15.0, 0.0001, 0.5]]
+                 ['tanh', -15.0, 15.0, 0.01, 0.2]]
     trsf = Transformation(trsf_info)
     
     # Apply the transformation
diff --git a/run_plot_res.sh b/run_plot_res.sh
index b3674db..d2c1ebd 100644
--- a/run_plot_res.sh
+++ b/run_plot_res.sh
@@ -1,4 +1,4 @@
-python3 linfa/plot_res.py --folder results/ --name TP15_no_disc_error_estimation --iter 10000 --picformat png
+python3 linfa/plot_res.py --folder results/ --name TP15_no_disc_error_estimation --iter 5000 --picformat png
 # python3 linfa/plot_disc.py --folder results/ --name test_08_lf_w_disc_TP1_uniform_prior --iter 25000 --picformat png --mode histograms --num_points 10 --limfactor 1.0 --saveinterval 1000 --dropouts 10
 # python3 linfa/plot_disc.py --folder results/ --name test_19_lf_w_disc_TP15_rep_meas_dropout --iter 10000 --picformat png --mode discr_surface --num_points 10 --limfactor 1.0 --saveinterval 1000
 # python3 linfa/plot_disc.py --folder results/ --name test_08_lf_w_disc_TP1_uniform_prior --iter 25000 --picformat png --mode marginal_stats --num_points 10 --limfactor 1.0 --saveinterval 1000