From aa27e765d7c4932320cd10700a3994b6731c73ee Mon Sep 17 00:00:00 2001
From: tgupta6 <tgupta6@illinois.edu>
Date: Thu, 11 Aug 2016 11:25:34 -0500
Subject: [PATCH] select best model passes obj_atr_loss_wt to graph
---
answer_classifier_cached_features/select_best_model.py | 1 +
constants_crunchy.py | 8 ++++----
2 files changed, 5 insertions(+), 4 deletions(-)
diff --git a/answer_classifier_cached_features/select_best_model.py b/answer_classifier_cached_features/select_best_model.py
index 8f77e06..ee6b270 100644
--- a/answer_classifier_cached_features/select_best_model.py
+++ b/answer_classifier_cached_features/select_best_model.py
@@ -245,6 +245,7 @@ def eval_model(model_to_eval, results_json):
0,
0,
0,
+ constants.answer_obj_atr_loss_wt,
resnet_feat_dim=constants.resnet_feat_dim,
training=False)
diff --git a/constants_crunchy.py b/constants_crunchy.py
index 70b07fc..9402eb2 100644
--- a/constants_crunchy.py
+++ b/constants_crunchy.py
@@ -159,13 +159,13 @@ num_test_questions = 0
# Answer classifier training params
answer_batch_size = 50
-answer_num_epochs = 4
+answer_num_epochs = 6
answer_offset = 0
answer_obj_atr_loss_wt = 0.1
answer_regularization_coeff = 1e-5
answer_queue_size = 500
answer_embedding_dim = 600
-answer_lr = 1e-3
+answer_lr = 1e-4
answer_log_every_n_iter = 500
answer_output_dir = os.path.join(
global_experiment_dir,
@@ -185,12 +185,12 @@ answer_model = os.path.join(
num_regions_with_labels = 100
# Answer fine tune params
-answer_fine_tune_from_iter = 17000
+answer_fine_tune_from_iter = 19500
answer_fine_tune_from = answer_model + '-' + str(answer_fine_tune_from_iter)
# Answer eval params
answer_eval_on = 'val'
-answer_model_to_eval = answer_model + '-13000'
+answer_model_to_eval = answer_model + '-49500'
answer_eval_data_json = os.path.join(
answer_output_dir,
--
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