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adv_model_test_log.out
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2020-06-26 17:28:42
Gold-Mart Dependency Parser
-------------------------------------------------------------------------------------------
word_embd_dim = 300
pos_embd_dim = 100
word_hidden_dim = 125
MLP_inner_dim = 100
char_emb_dim = 80
char_hidden_dim = 50
epochs = 30
learning_rate = 0.01
dropout_layers_probability = 0.0
weight_decay = 1e-05
alpha = 0.25
min_freq = 3
BiLSTM_layers = 3
use_pre_trained = False
vectors =
path_train = train.labeled
path_test = test.labeled
Training Started
Epoch 1 Completed, Train Loss 0.4317197466891259 Train Accuracy: 0.8762714056845529 Test Loss 0.453314074113965 Test Accuracy: 0.8671013037841824
Epoch 1 Time 2020-06-26 17:33:27
Epoch 2 Completed, Train Loss 0.3108972527459962 Train Accuracy: 0.9104145067341002 Test Loss 0.3777131889173761 Test Accuracy: 0.8892282230912251
Epoch 2 Time 2020-06-26 17:37:31
Epoch 3 Completed, Train Loss 0.2575195222469454 Train Accuracy: 0.9211061506131125 Test Loss 0.35351167429005725 Test Accuracy: 0.8914617268412434
Epoch 3 Time 2020-06-26 17:41:34
Epoch 4 Completed, Train Loss 0.20729585030103917 Train Accuracy: 0.9357225618118631 Test Loss 0.35049616195453565 Test Accuracy: 0.8965612843734762
Epoch 4 Time 2020-06-26 17:45:36
Epoch 5 Completed, Train Loss 0.18034912271970535 Train Accuracy: 0.9448400262961346 Test Loss 0.3428480528357322 Test Accuracy: 0.902928290775207
Epoch 5 Time 2020-06-26 17:49:34
Epoch 6 Completed, Train Loss 0.16490560038249533 Train Accuracy: 0.9502596393396754 Test Loss 0.33775572358147476 Test Accuracy: 0.9045710459606465
Epoch 6 Time 2020-06-26 17:53:34
Epoch 7 Completed, Train Loss 0.1524080511584514 Train Accuracy: 0.9531962557328371 Test Loss 0.3365870405537571 Test Accuracy: 0.9029597079166117
Epoch 7 Time 2020-06-26 17:57:35
Epoch 8 Completed, Train Loss 0.1401028070793822 Train Accuracy: 0.9560952105267666 Test Loss 0.3377295520010084 Test Accuracy: 0.9032263038290285
Epoch 8 Time 2020-06-26 18:01:35
Epoch 9 Completed, Train Loss 0.12813117874663366 Train Accuracy: 0.9600745044212091 Test Loss 0.3467434054731712 Test Accuracy: 0.9079122972245142
Epoch 9 Time 2020-06-26 18:05:35
Epoch 10 Completed, Train Loss 0.1371619715750174 Train Accuracy: 0.9582759378560451 Test Loss 0.3497035226149019 Test Accuracy: 0.9031025151739759
Epoch 10 Time 2020-06-26 18:09:34
Epoch 11 Completed, Train Loss 0.1268652572379804 Train Accuracy: 0.9606160607788267 Test Loss 0.3566133939251704 Test Accuracy: 0.9047451823098147
Epoch 11 Time 2020-06-26 18:13:35
Epoch 12 Completed, Train Loss 0.10928891461453022 Train Accuracy: 0.9658432077844247 Test Loss 0.3394919780347627 Test Accuracy: 0.9068271353834004
Epoch 12 Time 2020-06-26 18:17:37
Epoch 13 Completed, Train Loss 0.11332215571631205 Train Accuracy: 0.9674125193564274 Test Loss 0.35546908108536807 Test Accuracy: 0.9016440254157563
Epoch 13 Time 2020-06-26 18:21:37
Epoch 14 Completed, Train Loss 0.10368312844164002 Train Accuracy: 0.9679108607041422 Test Loss 0.3556625145388207 Test Accuracy: 0.9090859150075867
Epoch 14 Time 2020-06-26 18:25:38
Epoch 15 Completed, Train Loss 0.10626458078149517 Train Accuracy: 0.9684392332012854 Test Loss 0.3362404799630858 Test Accuracy: 0.9069774989683378
Epoch 15 Time 2020-06-26 18:29:40
Epoch 16 Completed, Train Loss 0.08915527091237345 Train Accuracy: 0.9729214396002284 Test Loss 0.3644377616849488 Test Accuracy: 0.9067743652089977
Epoch 16 Time 2020-06-26 18:33:40
Epoch 17 Completed, Train Loss 0.0963125060660408 Train Accuracy: 0.9703718956316292 Test Loss 0.3707789925758043 Test Accuracy: 0.9050903239844311
Epoch 17 Time 2020-06-26 18:37:41
Epoch 18 Completed, Train Loss 0.09724289532001149 Train Accuracy: 0.9701586099081276 Test Loss 0.3472954533491811 Test Accuracy: 0.9070621596746018
Epoch 18 Time 2020-06-26 18:41:42
Epoch 19 Completed, Train Loss 0.09276958098726382 Train Accuracy: 0.9708517194254153 Test Loss 0.363148551963237 Test Accuracy: 0.9048457788864063
Epoch 19 Time 2020-06-26 18:45:43
Epoch 20 Completed, Train Loss 0.09522679445001486 Train Accuracy: 0.9709512910900452 Test Loss 0.35457473524468697 Test Accuracy: 0.9070827860275236
Epoch 20 Time 2020-06-26 18:49:44
Epoch 21 Completed, Train Loss 0.10443885791263578 Train Accuracy: 0.9685955766621721 Test Loss 0.3632025391159614 Test Accuracy: 0.9074378433922181
Epoch 21 Time 2020-06-26 18:53:42
Epoch 22 Completed, Train Loss 0.07611157860517814 Train Accuracy: 0.9767775992351695 Test Loss 0.3422483667724682 Test Accuracy: 0.9111581233810505
Epoch 22 Time 2020-06-26 18:57:41
Epoch 23 Completed, Train Loss 0.08296750258171579 Train Accuracy: 0.974605483744161 Test Loss 0.35712784540038 Test Accuracy: 0.9097322062978712
Epoch 23 Time 2020-06-26 19:01:42
Epoch 24 Completed, Train Loss 0.07825927014708522 Train Accuracy: 0.9765167370230973 Test Loss 0.36117061485684326 Test Accuracy: 0.9058784506617994
Epoch 24 Time 2020-06-26 19:05:43
Epoch 25 Completed, Train Loss 0.07907011084031619 Train Accuracy: 0.9763888536268087 Test Loss 0.3666719945257355 Test Accuracy: 0.9068049489524006
Epoch 25 Time 2020-06-26 19:09:42
Epoch 26 Completed, Train Loss 0.06589318847409904 Train Accuracy: 0.9797662610864585 Test Loss 0.37420644585253465 Test Accuracy: 0.9108557657618622
Epoch 26 Time 2020-06-26 19:13:42
Epoch 27 Completed, Train Loss 0.07604557738021854 Train Accuracy: 0.9761417624485499 Test Loss 0.38167864443302835 Test Accuracy: 0.9084314168238953
Epoch 27 Time 2020-06-26 19:17:43
Epoch 28 Completed, Train Loss 0.08104244327966553 Train Accuracy: 0.9748075833284648 Test Loss 0.3624379684226369 Test Accuracy: 0.9091117147274139
Epoch 28 Time 2020-06-26 19:21:45
Epoch 29 Completed, Train Loss 0.06368152902547863 Train Accuracy: 0.9800839834311568 Test Loss 0.3940473244940786 Test Accuracy: 0.9072067688321402
Epoch 29 Time 2020-06-26 19:25:46
Epoch 30 Completed, Train Loss 0.05667241219422999 Train Accuracy: 0.9822787214119731 Test Loss 0.38243185191338036 Test Accuracy: 0.9105935683027109
Epoch 30 Time 2020-06-26 19:29:47
total_train_time = 4877 SECS total_evaluate_time (train and test) = 2386 SECS
train_accuracy_list = [0.8762714056845529, 0.9104145067341002, 0.9211061506131125, 0.9357225618118631, 0.9448400262961346, 0.9502596393396754, 0.9531962557328371, 0.9560952105267666, 0.9600745044212091, 0.9582759378560451, 0.9606160607788267, 0.9658432077844247, 0.9674125193564274, 0.9679108607041422, 0.9684392332012854, 0.9729214396002284, 0.9703718956316292, 0.9701586099081276, 0.9708517194254153, 0.9709512910900452, 0.9685955766621721, 0.9767775992351695, 0.974605483744161, 0.9765167370230973, 0.9763888536268087, 0.9797662610864585, 0.9761417624485499, 0.9748075833284648, 0.9800839834311568, 0.9822787214119731]
train_loss_list = [0.4317197466891259, 0.3108972527459962, 0.2575195222469454, 0.20729585030103917, 0.18034912271970535, 0.16490560038249533, 0.1524080511584514, 0.1401028070793822, 0.12813117874663366, 0.1371619715750174, 0.1268652572379804, 0.10928891461453022, 0.11332215571631205, 0.10368312844164002, 0.10626458078149517, 0.08915527091237345, 0.0963125060660408, 0.09724289532001149, 0.09276958098726382, 0.09522679445001486, 0.10443885791263578, 0.07611157860517814, 0.08296750258171579, 0.07825927014708522, 0.07907011084031619, 0.06589318847409904, 0.07604557738021854, 0.08104244327966553, 0.06368152902547863, 0.05667241219422999]
test_accuracy_list = [0.8671013037841824, 0.8892282230912251, 0.8914617268412434, 0.8965612843734762, 0.902928290775207, 0.9045710459606465, 0.9029597079166117, 0.9032263038290285, 0.9079122972245142, 0.9031025151739759, 0.9047451823098147, 0.9068271353834004, 0.9016440254157563, 0.9090859150075867, 0.9069774989683378, 0.9067743652089977, 0.9050903239844311, 0.9070621596746018, 0.9048457788864063, 0.9070827860275236, 0.9074378433922181, 0.9111581233810505, 0.9097322062978712, 0.9058784506617994, 0.9068049489524006, 0.9108557657618622, 0.9084314168238953, 0.9091117147274139, 0.9072067688321402, 0.9105935683027109]
test_loss_list = [0.453314074113965, 0.3777131889173761, 0.35351167429005725, 0.35049616195453565, 0.3428480528357322, 0.33775572358147476, 0.3365870405537571, 0.3377295520010084, 0.3467434054731712, 0.3497035226149019, 0.3566133939251704, 0.3394919780347627, 0.35546908108536807, 0.3556625145388207, 0.3362404799630858, 0.3644377616849488, 0.3707789925758043, 0.3472954533491811, 0.363148551963237, 0.35457473524468697, 0.3632025391159614, 0.3422483667724682, 0.35712784540038, 0.36117061485684326, 0.3666719945257355, 0.37420644585253465, 0.38167864443302835, 0.3624379684226369, 0.3940473244940786, 0.38243185191338036]