before setup on gpu machines

constants.py

@@ -161,7 +161,7 @@ answer_offset = 0
 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,
@@ -181,7 +181,7 @@ answer_model = os.path.join(
 num_regions_with_labels = 100
 
 # Answer fine tune params
-answer_fine_tune_from_iter = 2000
+answer_fine_tune_from_iter = 17000
 answer_fine_tune_from = answer_model + '-' + str(answer_fine_tune_from_iter)
 
 # Answer eval params