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basic_model_comp_log.out
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2020-06-26 21:35:55
Kiperwasser Dependency Parser
-------------------------------------------------------------------------------------------
word_embd_dim = 300
pos_embd_dim = 75
hidden_dim = 125
MLP_inner_dim = 100
epochs = 30
learning_rate = 0.01
dropout_layers_probability = 0.0
weight_decay = 1e-05
alpha = 0.25
min_freq = 2
BiLSTM_layers = 2
use_pre_trained = False
vectors =
path_train = train_5700_sentences.labeled
path_test = test_300_sentences.labeled
Training Started
Epoch 1 Completed, Train Loss 0.36996486341413276 Train Accuracy: 0.8897500787526011 Test Loss 0.4474030532866406 Test Accuracy: 0.8680033581749045
Epoch 1 Time 2020-06-26 21:37:10
Epoch 2 Completed, Train Loss 0.25617339072965 Train Accuracy: 0.921247113190631 Test Loss 0.38933979265314217 Test Accuracy: 0.8847595378313889
Epoch 2 Time 2020-06-26 21:38:17
Epoch 3 Completed, Train Loss 0.22097276025490525 Train Accuracy: 0.9333194784888148 Test Loss 0.3597454377663477 Test Accuracy: 0.8937012300233769
Epoch 3 Time 2020-06-26 21:39:18
Epoch 4 Completed, Train Loss 0.1848110748887235 Train Accuracy: 0.9426581009217563 Test Loss 0.34711783105294064 Test Accuracy: 0.8973551578410487
Epoch 4 Time 2020-06-26 21:40:25
Epoch 5 Completed, Train Loss 0.1480228049432561 Train Accuracy: 0.9533994447485856 Test Loss 0.3367632498677388 Test Accuracy: 0.9064481537040248
Epoch 5 Time 2020-06-26 21:41:38
Epoch 6 Completed, Train Loss 0.12994825666817186 Train Accuracy: 0.960765898956952 Test Loss 0.33466483522388746 Test Accuracy: 0.9083515147565657
Epoch 6 Time 2020-06-26 21:42:51
Epoch 7 Completed, Train Loss 0.1238629075963634 Train Accuracy: 0.961541265045378 Test Loss 0.3545078732858868 Test Accuracy: 0.9114779542487526
Epoch 7 Time 2020-06-26 21:44:00
Epoch 8 Completed, Train Loss 0.11240127836353281 Train Accuracy: 0.9648740443016618 Test Loss 0.3398058961651198 Test Accuracy: 0.9079579775011265
Epoch 8 Time 2020-06-26 21:45:00
Epoch 9 Completed, Train Loss 0.10723767424808485 Train Accuracy: 0.9658598489312692 Test Loss 0.3570637095178912 Test Accuracy: 0.9128181659564657
Epoch 9 Time 2020-06-26 21:46:02
Epoch 10 Completed, Train Loss 0.10265858041770091 Train Accuracy: 0.9688561382712392 Test Loss 0.3472108491259496 Test Accuracy: 0.9117173424522043
Epoch 10 Time 2020-06-26 21:47:14
Epoch 11 Completed, Train Loss 0.10135317535647692 Train Accuracy: 0.9691438659053098 Test Loss 0.3450411529730718 Test Accuracy: 0.9123360382003359
Epoch 11 Time 2020-06-26 21:48:26
Epoch 12 Completed, Train Loss 0.1007976870389939 Train Accuracy: 0.9690744319167959 Test Loss 0.3809309049997561 Test Accuracy: 0.9070710469733427
Epoch 12 Time 2020-06-26 21:49:38
Epoch 13 Completed, Train Loss 0.085985113512011 Train Accuracy: 0.9739203501533896 Test Loss 0.3681516978346493 Test Accuracy: 0.9068013711353264
Epoch 13 Time 2020-06-26 21:50:39
Epoch 14 Completed, Train Loss 0.07966878224494019 Train Accuracy: 0.9759954948694608 Test Loss 0.35994360745299975 Test Accuracy: 0.9094103344111064
Epoch 14 Time 2020-06-26 21:51:39
Epoch 15 Completed, Train Loss 0.08378054369216602 Train Accuracy: 0.973768080725874 Test Loss 0.3783905348222045 Test Accuracy: 0.9098195025395186
Epoch 15 Time 2020-06-26 21:52:50
Epoch 16 Completed, Train Loss 0.07645915939825475 Train Accuracy: 0.9765270878035519 Test Loss 0.38093492427772163 Test Accuracy: 0.908702154224233
Epoch 16 Time 2020-06-26 21:54:01
Epoch 17 Completed, Train Loss 0.07697607293624506 Train Accuracy: 0.976082746650334 Test Loss 0.3911842575170779 Test Accuracy: 0.9044468418694195
Epoch 17 Time 2020-06-26 21:55:13
Epoch 18 Completed, Train Loss 0.0720245124657791 Train Accuracy: 0.9772852334021165 Test Loss 0.3649594661855129 Test Accuracy: 0.910648101276376
Epoch 18 Time 2020-06-26 21:56:17
Epoch 19 Completed, Train Loss 0.08659222139282408 Train Accuracy: 0.9731519160605813 Test Loss 0.3602451505612741 Test Accuracy: 0.910524262556267
Epoch 19 Time 2020-06-26 21:57:17
Epoch 20 Completed, Train Loss 0.07885303180190037 Train Accuracy: 0.9755223528152486 Test Loss 0.37342264482875787 Test Accuracy: 0.9107509644034061
Epoch 20 Time 2020-06-26 21:58:21
Epoch 21 Completed, Train Loss 0.07974771152990631 Train Accuracy: 0.9751926182717854 Test Loss 0.35678810484251394 Test Accuracy: 0.9120940752346884
Epoch 21 Time 2020-06-26 21:59:32
Epoch 22 Completed, Train Loss 0.06247874949113509 Train Accuracy: 0.9811709757031684 Test Loss 0.3631609085641412 Test Accuracy: 0.913228443384789
Epoch 22 Time 2020-06-26 22:00:43
Epoch 23 Completed, Train Loss 0.0596939461389269 Train Accuracy: 0.9816247526682756 Test Loss 0.3813459037136757 Test Accuracy: 0.9168089943541795
Epoch 23 Time 2020-06-26 22:01:53
Epoch 24 Completed, Train Loss 0.05515000193711204 Train Accuracy: 0.9832017270679805 Test Loss 0.38084615739473976 Test Accuracy: 0.9129632510542403
Epoch 24 Time 2020-06-26 22:02:52
Epoch 25 Completed, Train Loss 0.07005491533727003 Train Accuracy: 0.978019983634332 Test Loss 0.3766816407047857 Test Accuracy: 0.9150991311490113
Epoch 25 Time 2020-06-26 22:03:51
Epoch 26 Completed, Train Loss 0.07505247678574384 Train Accuracy: 0.9771020406031502 Test Loss 0.35595587739267404 Test Accuracy: 0.9137623032804761
Epoch 26 Time 2020-06-26 22:05:03
Epoch 27 Completed, Train Loss 0.06800401202375787 Train Accuracy: 0.9785145081937592 Test Loss 0.38757561668475926 Test Accuracy: 0.9136764814943596
Epoch 27 Time 2020-06-26 22:06:14
Epoch 28 Completed, Train Loss 0.07702260951829407 Train Accuracy: 0.9781685745721298 Test Loss 0.39152872650219556 Test Accuracy: 0.9091380071632682
Epoch 28 Time 2020-06-26 22:07:26
Epoch 29 Completed, Train Loss 0.07050033835749446 Train Accuracy: 0.9774634802716521 Test Loss 0.3769117397149178 Test Accuracy: 0.9155759764618339
Epoch 29 Time 2020-06-26 22:08:29
Epoch 30 Completed, Train Loss 0.06815498949009352 Train Accuracy: 0.9789880538655732 Test Loss 0.38615732068158953 Test Accuracy: 0.9135912834325982
Epoch 30 Time 2020-06-26 22:09:28
total_train_time = 1325 SECS total_evaluate_time (train and test) = 686 SECS
train_accuracy_list = [0.8897500787526011, 0.921247113190631, 0.9333194784888148, 0.9426581009217563, 0.9533994447485856, 0.960765898956952, 0.961541265045378, 0.9648740443016618, 0.9658598489312692, 0.9688561382712392, 0.9691438659053098, 0.9690744319167959, 0.9739203501533896, 0.9759954948694608, 0.973768080725874, 0.9765270878035519, 0.976082746650334, 0.9772852334021165, 0.9731519160605813, 0.9755223528152486, 0.9751926182717854, 0.9811709757031684, 0.9816247526682756, 0.9832017270679805, 0.978019983634332, 0.9771020406031502, 0.9785145081937592, 0.9781685745721298, 0.9774634802716521, 0.9789880538655732]
train_loss_list = [0.36996486341413276, 0.25617339072965, 0.22097276025490525, 0.1848110748887235, 0.1480228049432561, 0.12994825666817186, 0.1238629075963634, 0.11240127836353281, 0.10723767424808485, 0.10265858041770091, 0.10135317535647692, 0.1007976870389939, 0.085985113512011, 0.07966878224494019, 0.08378054369216602, 0.07645915939825475, 0.07697607293624506, 0.0720245124657791, 0.08659222139282408, 0.07885303180190037, 0.07974771152990631, 0.06247874949113509, 0.0596939461389269, 0.05515000193711204, 0.07005491533727003, 0.07505247678574384, 0.06800401202375787, 0.07702260951829407, 0.07050033835749446, 0.06815498949009352]
test_accuracy_list = [0.8680033581749045, 0.8847595378313889, 0.8937012300233769, 0.8973551578410487, 0.9064481537040248, 0.9083515147565657, 0.9114779542487526, 0.9079579775011265, 0.9128181659564657, 0.9117173424522043, 0.9123360382003359, 0.9070710469733427, 0.9068013711353264, 0.9094103344111064, 0.9098195025395186, 0.908702154224233, 0.9044468418694195, 0.910648101276376, 0.910524262556267, 0.9107509644034061, 0.9120940752346884, 0.913228443384789, 0.9168089943541795, 0.9129632510542403, 0.9150991311490113, 0.9137623032804761, 0.9136764814943596, 0.9091380071632682, 0.9155759764618339, 0.9135912834325982]
test_loss_list = [0.4474030532866406, 0.38933979265314217, 0.3597454377663477, 0.34711783105294064, 0.3367632498677388, 0.33466483522388746, 0.3545078732858868, 0.3398058961651198, 0.3570637095178912, 0.3472108491259496, 0.3450411529730718, 0.3809309049997561, 0.3681516978346493, 0.35994360745299975, 0.3783905348222045, 0.38093492427772163, 0.3911842575170779, 0.3649594661855129, 0.3602451505612741, 0.37342264482875787, 0.35678810484251394, 0.3631609085641412, 0.3813459037136757, 0.38084615739473976, 0.3766816407047857, 0.35595587739267404, 0.38757561668475926, 0.39152872650219556, 0.3769117397149178, 0.38615732068158953]