From ebb601ac3d25ab55ef531ca3b5972fe9879c5abe Mon Sep 17 00:00:00 2001
From: tgupta6 <tgupta6@illinois.edu>
Date: Mon, 8 Aug 2016 20:53:46 -0500
Subject: [PATCH] petty change to constants_vision_gpu_2
---
constants_vision_gpu_2.py | 12 +++++++++---
1 file changed, 9 insertions(+), 3 deletions(-)
diff --git a/constants_vision_gpu_2.py b/constants_vision_gpu_2.py
index 37c3763..12de9b2 100644
--- a/constants_vision_gpu_2.py
+++ b/constants_vision_gpu_2.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 = 'QA_explicit_dot_pretrained'
+experiment_name = 'QA_explicit_dot_pretrained_same_lr'
#experiment_name = 'object_attribute_classifier_large_images'
# Global output directory (all subexperiments will be saved here)
global_output_dir = '/home/nfs/tgupta6/projects/GenVQA/Exp_Results/VQA'
@@ -89,7 +89,7 @@ pretrained_vocab_word_vectors_npy = os.path.join(
# Object Attribute Classifier Training Params
region_batch_size = 200
region_num_samples = num_train_regions
-region_num_epochs = 10
+region_num_epochs = 4
region_offset = 0
region_queue_size = 400
region_regularization_coeff = 1e-4
@@ -198,4 +198,10 @@ answer_eval_results_json = os.path.join(
answer_output_dir,
'eval_' + answer_eval_on + '_results.json')
-
+# Select best model
+models_dir = answer_output_dir
+start_model = 1000
+step_size = 2000
+model_accuracies_txt = os.path.join(
+ answer_output_dir,
+ 'model_accuracies.txt')
--
GitLab