diff --git a/constants_vision_gpu_1.py b/constants_vision_gpu_1.py
index 043d223ad5fe34166a0584fa7fd570a25b9dc879..166397aecb105daa866dcf07faacb0e911631504 100644
--- a/constants_vision_gpu_1.py
+++ b/constants_vision_gpu_1.py
@@ -5,7 +5,7 @@ def mkdir_if_not_exists(dir_name):
     if not os.path.exists(dir_name):
         os.mkdir(dir_name)
         
-experiment_name = 'obj_atr_through_ans_fixed_split'
+experiment_name = 'obj_atr_through_none_fixed_split'
 
 ##########################################################################
 #                    Machine Specific Paths                              #
@@ -90,7 +90,7 @@ attribute_labels_json = os.path.join(
 
 regions_json = os.path.join(
     data_absolute_path,
-    'restructured/region_with_labels.json')
+    'restructured/region_with_hypernym_labels.json')
 
 mean_image_filename = os.path.join(
     data_absolute_path,
@@ -110,7 +110,7 @@ genome_val_region_ids = os.path.join(
 
 genome_test_region_ids = os.path.join(
     data_absolute_path,
-    'restructured/test_region_ids.json')
+    'restructured/test_region_ids_simple.json')
 
 ##########################################################################
 #               Genome Training/Fine-Tuning Parameters                   #
@@ -244,7 +244,7 @@ answer_regularization_coeff = 1e-5
 answer_lr = 1e-3
 
 answer_obj_atr_loss_wt = 1.0
-answer_ans_loss_wt = 0.1
+answer_ans_loss_wt = 0.0
 answer_mil_loss_wt = 0.0
 
 # Answer classifier additional joint training params