Use new tvt dataset with option --tvt

31 files changed, 0 insertions, 35 deletions

diff --git a/config/bidirectional_1.py b/config/bidirectional_1.py
index 8691357..35039d2 100644
--- a/config/bidirectional_1.py
+++ b/config/bidirectional_1.py
@@ -27,5 +27,4 @@ mlp_biases_init = Constant(0.01)
 batch_size = 20
 batch_sort_size = 20
 
-valid_set = 'cuts/large_valid'
 max_splits = 100
diff --git a/config/bidirectional_tgtcls_1.py b/config/bidirectional_tgtcls_1.py
index 4c9ed3e..88328e4 100644
--- a/config/bidirectional_tgtcls_1.py
+++ b/config/bidirectional_tgtcls_1.py
@@ -32,5 +32,4 @@ mlp_biases_init = Constant(0.01)
 batch_size = 20
 batch_sort_size = 20
 
-valid_set = 'cuts/large_valid'
 max_splits = 100
diff --git a/config/dest_mlp_2_cs.py b/config/dest_mlp_2_cs.py
index ca1ee39..d5e3092 100644
--- a/config/dest_mlp_2_cs.py
+++ b/config/dest_mlp_2_cs.py
@@ -23,5 +23,4 @@ learning_rate = 0.0001
 momentum = 0.99
 batch_size = 32
 
-valid_set = 'cuts/test_times_0'
 max_splits = 100
diff --git a/config/dest_mlp_2_cswdt.py b/config/dest_mlp_2_cswdt.py
index 592378a..77f4bb3 100644
--- a/config/dest_mlp_2_cswdt.py
+++ b/config/dest_mlp_2_cswdt.py
@@ -27,5 +27,4 @@ learning_rate = 0.0001
 momentum = 0.99
 batch_size = 32
 
-valid_set = 'cuts/test_times_0'
 max_splits = 100
diff --git a/config/dest_mlp_2_noembed.py b/config/dest_mlp_2_noembed.py
index d7582fe..94464fe 100644
--- a/config/dest_mlp_2_noembed.py
+++ b/config/dest_mlp_2_noembed.py
@@ -20,5 +20,4 @@ learning_rate = 0.0001
 momentum = 0.99
 batch_size = 32
 
-valid_set = 'cuts/test_times_0'
 max_splits = 100
diff --git a/config/dest_mlp_emb_only.py b/config/dest_mlp_emb_only.py
index 76acdfa..921fc1d 100644
--- a/config/dest_mlp_emb_only.py
+++ b/config/dest_mlp_emb_only.py
@@ -27,5 +27,4 @@ learning_rate = 0.001
 momentum = 0.9
 batch_size = 100
 
-valid_set = 'cuts/test_times_0'
 max_splits = 100
diff --git a/config/dest_mlp_tgtcls_0_cs.py b/config/dest_mlp_tgtcls_0_cs.py
index 684e653..2156dda 100644
--- a/config/dest_mlp_tgtcls_0_cs.py
+++ b/config/dest_mlp_tgtcls_0_cs.py
@@ -28,5 +28,4 @@ learning_rate = 0.0001
 momentum = 0.99
 batch_size = 32
 
-valid_set = 'cuts/test_times_0'
 max_splits = 100
diff --git a/config/dest_mlp_tgtcls_1_cs.py b/config/dest_mlp_tgtcls_1_cs.py
index 1d28c1a..51c158b 100644
--- a/config/dest_mlp_tgtcls_1_cs.py
+++ b/config/dest_mlp_tgtcls_1_cs.py
@@ -28,5 +28,4 @@ learning_rate = 0.0001
 momentum = 0.99
 batch_size = 32
 
-valid_set = 'cuts/test_times_0'
 max_splits = 100
diff --git a/config/dest_mlp_tgtcls_1_cswdt.py b/config/dest_mlp_tgtcls_1_cswdt.py
index 13abd90..5a66224 100644
--- a/config/dest_mlp_tgtcls_1_cswdt.py
+++ b/config/dest_mlp_tgtcls_1_cswdt.py
@@ -32,5 +32,4 @@ learning_rate = 0.0001
 momentum = 0.99
 batch_size = 32
 
-valid_set = 'cuts/test_times_0'
 max_splits = 100
diff --git a/config/dest_mlp_tgtcls_1_cswdtx.py b/config/dest_mlp_tgtcls_1_cswdtx.py
index 1a39dfd..37bd52e 100644
--- a/config/dest_mlp_tgtcls_1_cswdtx.py
+++ b/config/dest_mlp_tgtcls_1_cswdtx.py
@@ -35,6 +35,3 @@ batch_size = 100
 
 use_cuts_for_training = True
 max_splits = 1
-
-valid_set = 'cuts/test_times_0'
-
diff --git a/config/dest_mlp_tgtcls_1_cswdtx_alexandre.py b/config/dest_mlp_tgtcls_1_cswdtx_alexandre.py
index db69cd3..42adee7 100644
--- a/config/dest_mlp_tgtcls_1_cswdtx_alexandre.py
+++ b/config/dest_mlp_tgtcls_1_cswdtx_alexandre.py
@@ -34,5 +34,4 @@ step_rule = Momentum(learning_rate=0.01, momentum=0.9)
 
 batch_size = 200
 
-valid_set = 'cuts/test_times_0'
 max_splits = 100
diff --git a/config/dest_mlp_tgtcls_1_cswdtx_batchshuffle.py b/config/dest_mlp_tgtcls_1_cswdtx_batchshuffle.py
index b816930..5795d89 100644
--- a/config/dest_mlp_tgtcls_1_cswdtx_batchshuffle.py
+++ b/config/dest_mlp_tgtcls_1_cswdtx_batchshuffle.py
@@ -36,5 +36,4 @@ batch_size = 200
 
 shuffle_batch_size = 5000
 
-valid_set = 'cuts/test_times_0'
 max_splits = 100
diff --git a/config/dest_mlp_tgtcls_1_cswdtx_small.py b/config/dest_mlp_tgtcls_1_cswdtx_small.py
index e6135ce..572f7df 100644
--- a/config/dest_mlp_tgtcls_1_cswdtx_small.py
+++ b/config/dest_mlp_tgtcls_1_cswdtx_small.py
@@ -34,5 +34,4 @@ step_rule = Momentum(learning_rate=0.01, momentum=0.9)
 
 batch_size = 200
 
-valid_set = 'cuts/test_times_0'
 max_splits = 100
diff --git a/config/dest_mlp_tgtcls_2_cswdtx_small.py b/config/dest_mlp_tgtcls_2_cswdtx_small.py
index a4658b7..1e61293 100644
--- a/config/dest_mlp_tgtcls_2_cswdtx_small.py
+++ b/config/dest_mlp_tgtcls_2_cswdtx_small.py
@@ -34,5 +34,4 @@ step_rule = Momentum(learning_rate=0.01, momentum=0.9)
 
 batch_size = 200
 
-valid_set = 'cuts/test_times_0'
 max_splits = 100
diff --git a/config/joint_mlp_tgtcls_111_cswdtx.py b/config/joint_mlp_tgtcls_111_cswdtx.py
index 83d3d11..89b22f6 100644
--- a/config/joint_mlp_tgtcls_111_cswdtx.py
+++ b/config/joint_mlp_tgtcls_111_cswdtx.py
@@ -50,5 +50,4 @@ learning_rate = 0.0001
 momentum = 0.99
 batch_size = 200
 
-valid_set = 'cuts/test_times_0'
 max_splits = 100
diff --git a/config/joint_mlp_tgtcls_111_cswdtx_bigger.py b/config/joint_mlp_tgtcls_111_cswdtx_bigger.py
index 7ebe864..52b7b04 100644
--- a/config/joint_mlp_tgtcls_111_cswdtx_bigger.py
+++ b/config/joint_mlp_tgtcls_111_cswdtx_bigger.py
@@ -49,6 +49,4 @@ mlp_biases_init = Constant(0.01)
 # use adadelta, so no learning_rate or momentum
 batch_size = 200
 
-valid_set = 'cuts/test_times_0'
-
 max_splits = 100
diff --git a/config/joint_mlp_tgtcls_111_cswdtx_bigger_dropout.py b/config/joint_mlp_tgtcls_111_cswdtx_bigger_dropout.py
index e0448cc..26f7eba 100644
--- a/config/joint_mlp_tgtcls_111_cswdtx_bigger_dropout.py
+++ b/config/joint_mlp_tgtcls_111_cswdtx_bigger_dropout.py
@@ -55,6 +55,4 @@ dropout_inputs = VariableFilter(bricks=[Rectifier], name='output')
 # use adadelta, so no learning_rate or momentum
 batch_size = 200
 
-valid_set = 'cuts/test_times_0'
-
 max_splits = 100
diff --git a/config/joint_mlp_tgtcls_111_cswdtx_noise_dout.py b/config/joint_mlp_tgtcls_111_cswdtx_noise_dout.py
index fbc88a1..6dfca71 100644
--- a/config/joint_mlp_tgtcls_111_cswdtx_noise_dout.py
+++ b/config/joint_mlp_tgtcls_111_cswdtx_noise_dout.py
@@ -57,5 +57,4 @@ dropout_inputs = VariableFilter(bricks=[Rectifier], name='output')
 noise = 0.01
 noise_inputs = VariableFilter(roles=[roles.PARAMETER])
 
-valid_set = 'cuts/test_times_0'
 max_splits = 100
diff --git a/config/joint_mlp_tgtcls_1_cswdtx.py b/config/joint_mlp_tgtcls_1_cswdtx.py
index f53e41c..0a9bd32 100644
--- a/config/joint_mlp_tgtcls_1_cswdtx.py
+++ b/config/joint_mlp_tgtcls_1_cswdtx.py
@@ -50,5 +50,4 @@ learning_rate = 0.0001
 momentum = 0.99
 batch_size = 200
 
-valid_set = 'cuts/test_times_0'
 max_splits = 100
diff --git a/config/joint_mlp_tgtcls_1_cswdtx_bigger.py b/config/joint_mlp_tgtcls_1_cswdtx_bigger.py
index 72d3c83..282cb42 100644
--- a/config/joint_mlp_tgtcls_1_cswdtx_bigger.py
+++ b/config/joint_mlp_tgtcls_1_cswdtx_bigger.py
@@ -50,5 +50,4 @@ learning_rate = 0.0001
 momentum = 0.99
 batch_size = 200
 
-valid_set = 'cuts/test_times_0'
 max_splits = 100
diff --git a/config/memory_network_1.py b/config/memory_network_1.py
index 813c9d2..70b0f3e 100644
--- a/config/memory_network_1.py
+++ b/config/memory_network_1.py
@@ -37,7 +37,6 @@ embed_weights_init = IsotropicGaussian(0.001)
 
 batch_size = 32
 
-valid_set = 'cuts/test_times_0'
 max_splits = 1
 num_cuts = 1000
 
diff --git a/config/memory_network_2.py b/config/memory_network_2.py
index 92a9675..cdd2bc1 100644
--- a/config/memory_network_2.py
+++ b/config/memory_network_2.py
@@ -48,7 +48,6 @@ noise_inputs = VariableFilter(roles=[roles.PARAMETER])
 
 batch_size = 512
 
-valid_set = 'cuts/test_times_0'
 max_splits = 1
 num_cuts = 1000
 
diff --git a/config/memory_network_3.py b/config/memory_network_3.py
index 66cddbc..aa1fecb 100644
--- a/config/memory_network_3.py
+++ b/config/memory_network_3.py
@@ -48,7 +48,6 @@ noise_inputs = VariableFilter(roles=[roles.PARAMETER])
 
 batch_size = 512
 
-valid_set = 'cuts/test_times_0'
 max_splits = 1
 num_cuts = 1000
 
diff --git a/config/memory_network_adeb.py b/config/memory_network_adeb.py
index a9d6fef..1f0a271 100644
--- a/config/memory_network_adeb.py
+++ b/config/memory_network_adeb.py
@@ -38,7 +38,6 @@ embed_weights_init = IsotropicGaussian(0.001)
 step_rule = Momentum(learning_rate=0.001, momentum=0.9)
 batch_size = 32
 
-valid_set = 'cuts/test_times_0'
 max_splits = 1
 num_cuts = 1000
 
diff --git a/config/memory_network_bidir.py b/config/memory_network_bidir.py
index dc0824c..beba242 100644
--- a/config/memory_network_bidir.py
+++ b/config/memory_network_bidir.py
@@ -47,7 +47,6 @@ normalize_representation = True
 batch_size = 32
 batch_sort_size = 20
 
-valid_set = 'cuts/test_times_0'
 max_splits = 100
 num_cuts = 1000
 
diff --git a/config/rnn_1.py b/config/rnn_1.py
index 6e148c4..0947bc5 100644
--- a/config/rnn_1.py
+++ b/config/rnn_1.py
@@ -30,4 +30,3 @@ biases_init = Constant(0.001)
 
 batch_size = 10
 batch_sort_size = 10
-valid_set = 'cuts/test_times_0'
diff --git a/config/rnn_lag_tgtcls_1.py b/config/rnn_lag_tgtcls_1.py
index 7a41b70..01827bf 100644
--- a/config/rnn_lag_tgtcls_1.py
+++ b/config/rnn_lag_tgtcls_1.py
@@ -46,4 +46,3 @@ noise_inputs = VariableFilter(roles=[roles.PARAMETER])
 
 batch_size = 10
 batch_sort_size = 10
-valid_set = 'cuts/test_times_0'
diff --git a/config/rnn_tgtcls_1.py b/config/rnn_tgtcls_1.py
index 3204559..ed9b654 100644
--- a/config/rnn_tgtcls_1.py
+++ b/config/rnn_tgtcls_1.py
@@ -34,4 +34,3 @@ biases_init = Constant(0.001)
 
 batch_size = 10
 batch_sort_size = 10
-valid_set = 'cuts/test_times_0'
diff --git a/config/time_mlp_1.py b/config/time_mlp_1.py
index 4c2bffb..805d60b 100644
--- a/config/time_mlp_1.py
+++ b/config/time_mlp_1.py
@@ -23,5 +23,4 @@ learning_rate = 0.00001
 momentum = 0.99
 batch_size = 32
 
-valid_set = 'cuts/test_times_0'
 max_splits = 100
diff --git a/config/time_mlp_2_cswdtx.py b/config/time_mlp_2_cswdtx.py
index 30dda87..d69da09 100644
--- a/config/time_mlp_2_cswdtx.py
+++ b/config/time_mlp_2_cswdtx.py
@@ -30,5 +30,4 @@ learning_rate = 0.00001
 momentum = 0.99
 batch_size = 32
 
-valid_set = 'cuts/test_times_0'
 max_splits = 100
diff --git a/config/time_mlp_tgtcls_2_cswdtx.py b/config/time_mlp_tgtcls_2_cswdtx.py
index 809a808..c6be124 100644
--- a/config/time_mlp_tgtcls_2_cswdtx.py
+++ b/config/time_mlp_tgtcls_2_cswdtx.py
@@ -33,5 +33,4 @@ learning_rate = 0.0001
 momentum = 0.99
 batch_size = 32
 
-valid_set = 'cuts/test_times_0'
 max_splits = 100