diff --git a/constants_vision_gpu_1.py b/constants_vision_gpu_1.py
index 166397aecb105daa866dcf07faacb0e911631504..578afe895932dee2d04e96f5d69d04b968269cae 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_none_fixed_split'
+experiment_name = 'ans_through_obj_atr_no_rel_bin_feat'
 
 ##########################################################################
 #                    Machine Specific Paths                              #
@@ -92,6 +92,10 @@ regions_json = os.path.join(
     data_absolute_path,
     'restructured/region_with_hypernym_labels.json')
 
+eval_regions_json = os.path.join(
+    data_absolute_path,
+    'restructured/region_with_labels.json')
+
 mean_image_filename = os.path.join(
     data_absolute_path,
     'restructured/mean_image.jpg')
@@ -169,6 +173,12 @@ region_attribute_scores_dirname = os.path.join(
 
 mkdir_if_not_exists(region_attribute_scores_dirname)
 
+region_object_scores_dirname = os.path.join(
+    region_output_dir,
+    'object_scores')
+
+mkdir_if_not_exists(region_object_scores_dirname)
+
 ##########################################################################
 #                         VQA Parameters                                 #
 ##########################################################################
@@ -237,14 +247,14 @@ answer_model = os.path.join(
 # Answer classifier training params
 answer_train_from_scratch = True
 
-answer_batch_size = 25
+answer_batch_size = 50
 answer_num_epochs = 20
-answer_queue_size = 500
+answer_queue_size = 200
 answer_regularization_coeff = 1e-5
 answer_lr = 1e-3
 
-answer_obj_atr_loss_wt = 1.0
-answer_ans_loss_wt = 0.0
+answer_obj_atr_loss_wt = 0.1
+answer_ans_loss_wt = 1.0
 answer_mil_loss_wt = 0.0
 
 # Answer classifier additional joint training params