diff --git "a/training.log" "b/training.log"
new file mode 100755--- /dev/null
+++ "b/training.log"
@@ -0,0 +1,2298 @@
+2018-12-16 10:49:35,261 ----------------------------------------------------------------------------------------------------
+2018-12-16 10:49:35,261 Evaluation method: MICRO_F1_SCORE
+2018-12-16 10:49:35,272 ----------------------------------------------------------------------------------------------------
+2018-12-16 10:49:35,724 epoch 1 - iter 0/6098 - loss 3.04587722
+2018-12-16 10:51:42,525 epoch 1 - iter 609/6098 - loss 1.26952595
+2018-12-16 10:53:48,209 epoch 1 - iter 1218/6098 - loss 1.06294984
+2018-12-16 10:55:54,809 epoch 1 - iter 1827/6098 - loss 0.96047006
+2018-12-16 10:58:00,890 epoch 1 - iter 2436/6098 - loss 0.89764026
+2018-12-16 11:00:07,484 epoch 1 - iter 3045/6098 - loss 0.85078232
+2018-12-16 11:02:14,304 epoch 1 - iter 3654/6098 - loss 0.81547860
+2018-12-16 11:04:20,228 epoch 1 - iter 4263/6098 - loss 0.78622810
+2018-12-16 11:06:26,882 epoch 1 - iter 4872/6098 - loss 0.76095763
+2018-12-16 11:08:32,657 epoch 1 - iter 5481/6098 - loss 0.74015775
+2018-12-16 11:10:40,312 epoch 1 - iter 6090/6098 - loss 0.72117779
+2018-12-16 11:10:41,670 ----------------------------------------------------------------------------------------------------
+2018-12-16 11:10:41,671 EPOCH 1 done: loss 0.7210 - lr 0.1000 - bad epochs 0
+2018-12-16 11:12:55,762 TEST : loss 0.46650365 - f-score 0.8481 - acc 0.8481
+2018-12-16 11:12:55,764 ----------------------------------------------------------------------------------------------------
+2018-12-16 11:12:56,188 epoch 2 - iter 0/6098 - loss 0.71504533
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+2018-12-16 11:34:07,313 epoch 2 - iter 6090/6098 - loss 0.49786497
+2018-12-16 11:34:08,918 ----------------------------------------------------------------------------------------------------
+2018-12-16 11:34:08,919 EPOCH 2 done: loss 0.4978 - lr 0.1000 - bad epochs 0
+2018-12-16 11:36:23,667 TEST : loss 0.37986210 - f-score 0.8780 - acc 0.8780
+2018-12-16 11:36:23,668 ----------------------------------------------------------------------------------------------------
+2018-12-16 11:36:24,136 epoch 3 - iter 0/6098 - loss 0.31257319
+2018-12-16 11:38:29,530 epoch 3 - iter 609/6098 - loss 0.45611539
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+2018-12-16 11:55:26,912 epoch 3 - iter 5481/6098 - loss 0.43663799
+2018-12-16 11:57:37,654 epoch 3 - iter 6090/6098 - loss 0.43430348
+2018-12-16 11:57:39,625 ----------------------------------------------------------------------------------------------------
+2018-12-16 11:57:39,626 EPOCH 3 done: loss 0.4343 - lr 0.1000 - bad epochs 0
+2018-12-16 11:59:52,224 TEST : loss 0.32641137 - f-score 0.8967 - acc 0.8967
+2018-12-16 11:59:52,225 ----------------------------------------------------------------------------------------------------
+2018-12-16 11:59:52,632 epoch 4 - iter 0/6098 - loss 0.40576723
+2018-12-16 12:02:00,011 epoch 4 - iter 609/6098 - loss 0.40634847
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+2018-12-16 12:21:02,968 epoch 4 - iter 6090/6098 - loss 0.39914821
+2018-12-16 12:21:04,453 ----------------------------------------------------------------------------------------------------
+2018-12-16 12:21:04,453 EPOCH 4 done: loss 0.3991 - lr 0.1000 - bad epochs 0
+2018-12-16 12:23:17,963 TEST : loss 0.30165505 - f-score 0.9040 - acc 0.9040
+2018-12-16 12:23:17,965 ----------------------------------------------------------------------------------------------------
+2018-12-16 12:23:18,438 epoch 5 - iter 0/6098 - loss 0.37275884
+2018-12-16 12:25:24,822 epoch 5 - iter 609/6098 - loss 0.38346904
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+2018-12-16 12:44:30,550 ----------------------------------------------------------------------------------------------------
+2018-12-16 12:44:30,551 EPOCH 5 done: loss 0.3742 - lr 0.1000 - bad epochs 0
+2018-12-16 12:46:45,728 TEST : loss 0.28551289 - f-score 0.9095 - acc 0.9095
+2018-12-16 12:46:45,729 ----------------------------------------------------------------------------------------------------
+2018-12-16 12:46:46,079 epoch 6 - iter 0/6098 - loss 0.38374200
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+2018-12-16 13:07:54,300 ----------------------------------------------------------------------------------------------------
+2018-12-16 13:07:54,301 EPOCH 6 done: loss 0.3534 - lr 0.1000 - bad epochs 0
+2018-12-16 13:10:21,694 TEST : loss 0.26565075 - f-score 0.9169 - acc 0.9169
+2018-12-16 13:10:21,695 ----------------------------------------------------------------------------------------------------
+2018-12-16 13:10:22,091 epoch 7 - iter 0/6098 - loss 0.19273189
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+2018-12-16 13:31:34,836 epoch 7 - iter 6090/6098 - loss 0.33978550
+2018-12-16 13:31:36,192 ----------------------------------------------------------------------------------------------------
+2018-12-16 13:31:36,192 EPOCH 7 done: loss 0.3398 - lr 0.1000 - bad epochs 0
+2018-12-16 13:33:49,915 TEST : loss 0.25756997 - f-score 0.9202 - acc 0.9202
+2018-12-16 13:33:49,916 ----------------------------------------------------------------------------------------------------
+2018-12-16 13:33:50,298 epoch 8 - iter 0/6098 - loss 0.30487698
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+2018-12-16 13:55:05,892 epoch 8 - iter 6090/6098 - loss 0.32579710
+2018-12-16 13:55:07,287 ----------------------------------------------------------------------------------------------------
+2018-12-16 13:55:07,287 EPOCH 8 done: loss 0.3258 - lr 0.1000 - bad epochs 0
+2018-12-16 13:57:21,143 TEST : loss 0.24731696 - f-score 0.9232 - acc 0.9232
+2018-12-16 13:57:21,145 ----------------------------------------------------------------------------------------------------
+2018-12-16 13:57:21,499 epoch 9 - iter 0/6098 - loss 0.29538059
+2018-12-16 13:59:28,068 epoch 9 - iter 609/6098 - loss 0.31663764
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+2018-12-16 14:18:31,123 ----------------------------------------------------------------------------------------------------
+2018-12-16 14:18:31,123 EPOCH 9 done: loss 0.3160 - lr 0.1000 - bad epochs 0
+2018-12-16 14:20:44,537 TEST : loss 0.23617336 - f-score 0.9276 - acc 0.9276
+2018-12-16 14:20:44,539 ----------------------------------------------------------------------------------------------------
+2018-12-16 14:20:44,893 epoch 10 - iter 0/6098 - loss 0.28140643
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+2018-12-16 14:41:57,594 ----------------------------------------------------------------------------------------------------
+2018-12-16 14:41:57,595 EPOCH 10 done: loss 0.3077 - lr 0.1000 - bad epochs 0
+2018-12-16 14:44:11,118 TEST : loss 0.22675119 - f-score 0.9303 - acc 0.9303
+2018-12-16 14:44:11,119 ----------------------------------------------------------------------------------------------------
+2018-12-16 14:44:11,766 epoch 11 - iter 0/6098 - loss 0.26509976
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+2018-12-16 15:05:23,440 ----------------------------------------------------------------------------------------------------
+2018-12-16 15:05:23,441 EPOCH 11 done: loss 0.2994 - lr 0.1000 - bad epochs 0
+2018-12-16 15:07:37,086 TEST : loss 0.21839902 - f-score 0.9330 - acc 0.9330
+2018-12-16 15:07:37,087 ----------------------------------------------------------------------------------------------------
+2018-12-16 15:07:37,537 epoch 12 - iter 0/6098 - loss 0.15581058
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+2018-12-16 15:28:47,306 ----------------------------------------------------------------------------------------------------
+2018-12-16 15:28:47,306 EPOCH 12 done: loss 0.2921 - lr 0.1000 - bad epochs 0
+2018-12-16 15:31:00,983 TEST : loss 0.21678720 - f-score 0.9343 - acc 0.9343
+2018-12-16 15:31:00,984 ----------------------------------------------------------------------------------------------------
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+2018-12-16 15:52:20,860 ----------------------------------------------------------------------------------------------------
+2018-12-16 15:52:20,860 EPOCH 13 done: loss 0.2871 - lr 0.1000 - bad epochs 0
+2018-12-16 15:54:34,596 TEST : loss 0.21393007 - f-score 0.9354 - acc 0.9354
+2018-12-16 15:54:34,597 ----------------------------------------------------------------------------------------------------
+2018-12-16 15:54:35,009 epoch 14 - iter 0/6098 - loss 0.17837118
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+2018-12-16 16:15:46,384 ----------------------------------------------------------------------------------------------------
+2018-12-16 16:15:46,384 EPOCH 14 done: loss 0.2810 - lr 0.1000 - bad epochs 0
+2018-12-16 16:17:59,188 TEST : loss 0.20863359 - f-score 0.9367 - acc 0.9367
+2018-12-16 16:17:59,189 ----------------------------------------------------------------------------------------------------
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+2018-12-16 16:39:08,668 ----------------------------------------------------------------------------------------------------
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+2018-12-16 16:41:22,356 ----------------------------------------------------------------------------------------------------
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+2018-12-16 17:02:38,872 ----------------------------------------------------------------------------------------------------
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+2018-12-16 17:04:53,295 ----------------------------------------------------------------------------------------------------
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+2018-12-16 17:26:01,495 ----------------------------------------------------------------------------------------------------
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+2018-12-16 17:28:14,183 ----------------------------------------------------------------------------------------------------
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+2018-12-18 19:14:37,982 ----------------------------------------------------------------------------------------------------
+2018-12-18 19:14:37,983 EPOCH 144 done: loss 0.1349 - lr 0.0125 - bad epochs 1
+2018-12-18 19:16:51,826 TEST : loss 0.14662552 - f-score 0.9643 - acc 0.9643
+2018-12-18 19:16:51,827 ----------------------------------------------------------------------------------------------------
+2018-12-18 19:16:52,177 epoch 145 - iter 0/6098 - loss 0.10007294
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+2018-12-18 19:38:09,675 ----------------------------------------------------------------------------------------------------
+2018-12-18 19:38:09,676 EPOCH 145 done: loss 0.1332 - lr 0.0125 - bad epochs 2
+2018-12-18 19:40:23,217 TEST : loss 0.14723252 - f-score 0.9645 - acc 0.9645
+2018-12-18 19:40:23,218 ----------------------------------------------------------------------------------------------------
+2018-12-18 19:40:23,562 epoch 146 - iter 0/6098 - loss 0.18486638
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+2018-12-18 20:01:37,882 epoch 146 - iter 6090/6098 - loss 0.13296696
+2018-12-18 20:01:39,332 ----------------------------------------------------------------------------------------------------
+2018-12-18 20:01:39,333 EPOCH 146 done: loss 0.1330 - lr 0.0125 - bad epochs 0
+2018-12-18 20:03:53,578 TEST : loss 0.14652629 - f-score 0.9644 - acc 0.9644
+2018-12-18 20:03:53,580 ----------------------------------------------------------------------------------------------------
+2018-12-18 20:03:54,041 epoch 147 - iter 0/6098 - loss 0.06587592
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+2018-12-18 20:25:07,121 ----------------------------------------------------------------------------------------------------
+2018-12-18 20:25:07,122 EPOCH 147 done: loss 0.1322 - lr 0.0125 - bad epochs 0
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+2018-12-18 20:27:21,836 ----------------------------------------------------------------------------------------------------
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+2018-12-18 20:48:41,219 ----------------------------------------------------------------------------------------------------
+2018-12-18 20:48:41,220 EPOCH 148 done: loss 0.1337 - lr 0.0125 - bad epochs 0
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+2018-12-18 20:50:55,711 ----------------------------------------------------------------------------------------------------
+2018-12-18 20:50:56,130 epoch 149 - iter 0/6098 - loss 0.09793188
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+2018-12-18 21:12:14,645 epoch 149 - iter 6090/6098 - loss 0.13367174
+2018-12-18 21:12:15,972 ----------------------------------------------------------------------------------------------------
+2018-12-18 21:12:15,972 EPOCH 149 done: loss 0.1337 - lr 0.0125 - bad epochs 1
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+2018-12-18 21:14:30,263 ----------------------------------------------------------------------------------------------------
+2018-12-18 21:14:30,625 epoch 150 - iter 0/6098 - loss 0.13782977
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+2018-12-18 21:35:49,141 ----------------------------------------------------------------------------------------------------
+2018-12-18 21:35:49,141 EPOCH 150 done: loss 0.1331 - lr 0.0125 - bad epochs 2
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+2018-12-18 21:38:16,874 ----------------------------------------------------------------------------------------------------
+2018-12-18 21:38:16,874 Testing using best model ...
+2018-12-18 21:40:31,307 MICRO_AVG: acc 0.9641 - f1-score 0.9641
+2018-12-18 21:40:31,307 MARCO_AVG: acc 0.9184 - f1-score 0.9389
+2018-12-18 21:40:31,308 ADJ        tp: 31966 - fp: 2169 - fn: 2064 - tn: 31966 - precision: 0.9365 - recall: 0.9393 - accuracy: 0.9379 - f1-score: 0.9379
+2018-12-18 21:40:31,308 ADP        tp: 34712 - fp: 492 - fn: 426 - tn: 34712 - precision: 0.9860 - recall: 0.9879 - accuracy: 0.9869 - f1-score: 0.9869
+2018-12-18 21:40:31,308 ADV        tp: 18083 - fp: 1034 - fn: 1459 - tn: 18083 - precision: 0.9459 - recall: 0.9253 - accuracy: 0.9355 - f1-score: 0.9355
+2018-12-18 21:40:31,308 AUX        tp: 13385 - fp: 690 - fn: 369 - tn: 13385 - precision: 0.9510 - recall: 0.9732 - accuracy: 0.9619 - f1-score: 0.9620
+2018-12-18 21:40:31,308 CCONJ      tp: 12128 - fp: 207 - fn: 185 - tn: 12128 - precision: 0.9832 - recall: 0.9850 - accuracy: 0.9841 - f1-score: 0.9841
+2018-12-18 21:40:31,308 DET        tp: 19637 - fp: 418 - fn: 222 - tn: 19637 - precision: 0.9792 - recall: 0.9888 - accuracy: 0.9840 - f1-score: 0.9840
+2018-12-18 21:40:31,308 INTJ       tp: 144 - fp: 32 - fn: 66 - tn: 144 - precision: 0.8182 - recall: 0.6857 - accuracy: 0.7461 - f1-score: 0.7461
+2018-12-18 21:40:31,308 NOUN       tp: 75445 - fp: 3002 - fn: 3570 - tn: 75445 - precision: 0.9617 - recall: 0.9548 - accuracy: 0.9583 - f1-score: 0.9582
+2018-12-18 21:40:31,308 NUM        tp: 7581 - fp: 122 - fn: 173 - tn: 7581 - precision: 0.9842 - recall: 0.9777 - accuracy: 0.9809 - f1-score: 0.9809
+2018-12-18 21:40:31,309 PART       tp: 3536 - fp: 81 - fn: 104 - tn: 3536 - precision: 0.9776 - recall: 0.9714 - accuracy: 0.9745 - f1-score: 0.9745
+2018-12-18 21:40:31,309 PRON       tp: 16944 - fp: 469 - fn: 539 - tn: 16944 - precision: 0.9731 - recall: 0.9692 - accuracy: 0.9711 - f1-score: 0.9711
+2018-12-18 21:40:31,309 PROPN      tp: 17834 - fp: 1929 - fn: 1103 - tn: 17834 - precision: 0.9024 - recall: 0.9418 - accuracy: 0.9217 - f1-score: 0.9217
+2018-12-18 21:40:31,309 PUNCT      tp: 48410 - fp: 66 - fn: 45 - tn: 48410 - precision: 0.9986 - recall: 0.9991 - accuracy: 0.9989 - f1-score: 0.9988
+2018-12-18 21:40:31,309 SCONJ      tp: 6645 - fp: 273 - fn: 295 - tn: 6645 - precision: 0.9605 - recall: 0.9575 - accuracy: 0.9590 - f1-score: 0.9590
+2018-12-18 21:40:31,309 SYM        tp: 367 - fp: 66 - fn: 94 - tn: 367 - precision: 0.8476 - recall: 0.7961 - accuracy: 0.8210 - f1-score: 0.8210
+2018-12-18 21:40:31,309 VERB       tp: 33841 - fp: 1586 - fn: 1705 - tn: 33841 - precision: 0.9552 - recall: 0.9520 - accuracy: 0.9536 - f1-score: 0.9536
+2018-12-18 21:40:31,309 X          tp: 177 - fp: 44 - fn: 261 - tn: 177 - precision: 0.8009 - recall: 0.4041 - accuracy: 0.5372 - f1-score: 0.5372
+2018-12-18 21:40:31,309 ----------------------------------------------------------------------------------------------------
+2018-12-18 21:40:31,309 ----------------------------------------------------------------------------------------------------
+2018-12-18 21:40:41,668 ud_english: loss 0.19984867 - f-score 0.9561 - acc 0.9561
+2018-12-18 21:40:41,668 ----------------------------------------------------------------------------------------------------
+2018-12-18 21:40:47,991 ud_german: loss 0.24167277 - f-score 0.9424 - acc 0.9424
+2018-12-18 21:40:47,991 ----------------------------------------------------------------------------------------------------
+2018-12-18 21:40:51,633 ud_french: loss 0.08293830 - f-score 0.9761 - acc 0.9761
+2018-12-18 21:40:51,633 ----------------------------------------------------------------------------------------------------
+2018-12-18 21:40:55,402 ud_italian: loss 0.05560223 - f-score 0.9818 - acc 0.9818
+2018-12-18 21:40:55,403 ----------------------------------------------------------------------------------------------------
+2018-12-18 21:40:59,474 ud_dutch: loss 0.14550872 - f-score 0.9637 - acc 0.9637
+2018-12-18 21:40:59,474 ----------------------------------------------------------------------------------------------------
+2018-12-18 21:41:04,268 ud_polish: loss 0.08021381 - f-score 0.9801 - acc 0.9801
+2018-12-18 21:41:04,269 ----------------------------------------------------------------------------------------------------
+2018-12-18 21:41:08,819 ud_spanish: loss 0.16741446 - f-score 0.9553 - acc 0.9553
+2018-12-18 21:41:08,819 ----------------------------------------------------------------------------------------------------
+2018-12-18 21:41:16,439 ud_swedish: loss 0.21365283 - f-score 0.9471 - acc 0.9471
+2018-12-18 21:41:16,439 ----------------------------------------------------------------------------------------------------
+2018-12-18 21:41:20,214 ud_danish: loss 0.25488156 - f-score 0.9408 - acc 0.9408
+2018-12-18 21:41:20,215 ----------------------------------------------------------------------------------------------------
+2018-12-18 21:41:30,911 ud_norwegian: loss 0.15736783 - f-score 0.9639 - acc 0.9639
+2018-12-18 21:41:30,911 ----------------------------------------------------------------------------------------------------
+2018-12-18 21:41:39,534 ud_finnish: loss 0.33013174 - f-score 0.9089 - acc 0.9089
+2018-12-18 21:41:39,535 ----------------------------------------------------------------------------------------------------
+2018-12-18 21:42:45,816 ud_czech: loss 0.10046305 - f-score 0.9751 - acc 0.9751