diff --git "a/training.log" "b/training.log"
new file mode 100755--- /dev/null
+++ "b/training.log"
@@ -0,0 +1,2269 @@
+2018-12-15 13:15:10,666 ----------------------------------------------------------------------------------------------------
+2018-12-15 13:15:10,667 Evaluation method: MICRO_F1_SCORE
+2018-12-15 13:15:10,670 ----------------------------------------------------------------------------------------------------
+2018-12-15 13:15:11,054 epoch 1 - iter 0/1974 - loss 59.42119598
+2018-12-15 13:16:17,940 epoch 1 - iter 197/1974 - loss 8.32148544
+2018-12-15 13:17:26,758 epoch 1 - iter 394/1974 - loss 5.99904808
+2018-12-15 13:18:36,337 epoch 1 - iter 591/1974 - loss 4.88804651
+2018-12-15 13:19:42,234 epoch 1 - iter 788/1974 - loss 4.25711453
+2018-12-15 13:20:50,075 epoch 1 - iter 985/1974 - loss 3.83771730
+2018-12-15 13:21:57,403 epoch 1 - iter 1182/1974 - loss 3.50936080
+2018-12-15 13:23:06,558 epoch 1 - iter 1379/1974 - loss 3.27307995
+2018-12-15 13:24:11,344 epoch 1 - iter 1576/1974 - loss 3.07583785
+2018-12-15 13:25:19,108 epoch 1 - iter 1773/1974 - loss 2.92076106
+2018-12-15 13:26:22,595 epoch 1 - iter 1970/1974 - loss 2.78372531
+2018-12-15 13:26:23,496 ----------------------------------------------------------------------------------------------------
+2018-12-15 13:26:23,496 EPOCH 1 done: loss 2.7819 - lr 0.1000 - bad epochs 0
+2018-12-15 13:28:54,669 TEST : loss 1.03322518 - f-score 0.8126 - acc 0.8126
+2018-12-15 13:28:54,670 ----------------------------------------------------------------------------------------------------
+2018-12-15 13:28:54,895 epoch 2 - iter 0/1974 - loss 2.50576425
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+2018-12-15 13:34:49,275 epoch 2 - iter 1970/1974 - loss 1.33606683
+2018-12-15 13:34:49,784 ----------------------------------------------------------------------------------------------------
+2018-12-15 13:34:49,784 EPOCH 2 done: loss 1.3363 - lr 0.1000 - bad epochs 0
+2018-12-15 13:36:23,252 TEST : loss 0.85912591 - f-score 0.8329 - acc 0.8329
+2018-12-15 13:36:23,253 ----------------------------------------------------------------------------------------------------
+2018-12-15 13:36:23,687 epoch 3 - iter 0/1974 - loss 1.25574529
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+2018-12-15 13:42:27,237 epoch 3 - iter 1970/1974 - loss 1.12739961
+2018-12-15 13:42:27,840 ----------------------------------------------------------------------------------------------------
+2018-12-15 13:42:27,840 EPOCH 3 done: loss 1.1269 - lr 0.1000 - bad epochs 0
+2018-12-15 13:44:03,925 TEST : loss 0.77055490 - f-score 0.8503 - acc 0.8503
+2018-12-15 13:44:03,926 ----------------------------------------------------------------------------------------------------
+2018-12-15 13:44:04,177 epoch 4 - iter 0/1974 - loss 0.70498228
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+2018-12-15 13:50:03,390 ----------------------------------------------------------------------------------------------------
+2018-12-15 13:50:03,390 EPOCH 4 done: loss 0.9971 - lr 0.1000 - bad epochs 0
+2018-12-15 13:51:37,446 TEST : loss 0.70392263 - f-score 0.8616 - acc 0.8616
+2018-12-15 13:51:37,447 ----------------------------------------------------------------------------------------------------
+2018-12-15 13:51:37,699 epoch 5 - iter 0/1974 - loss 1.36095262
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+2018-12-15 13:57:35,835 ----------------------------------------------------------------------------------------------------
+2018-12-15 13:57:35,835 EPOCH 5 done: loss 0.9070 - lr 0.1000 - bad epochs 0
+2018-12-15 13:59:12,241 TEST : loss 0.69387752 - f-score 0.8609 - acc 0.8609
+2018-12-15 13:59:12,242 ----------------------------------------------------------------------------------------------------
+2018-12-15 13:59:12,493 epoch 6 - iter 0/1974 - loss 0.46157119
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+2018-12-15 14:05:12,475 ----------------------------------------------------------------------------------------------------
+2018-12-15 14:05:12,475 EPOCH 6 done: loss 0.8503 - lr 0.1000 - bad epochs 0
+2018-12-15 14:06:46,270 TEST : loss 0.69202209 - f-score 0.8661 - acc 0.8661
+2018-12-15 14:06:46,271 ----------------------------------------------------------------------------------------------------
+2018-12-15 14:06:46,513 epoch 7 - iter 0/1974 - loss 0.67269605
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+2018-12-15 14:12:45,813 ----------------------------------------------------------------------------------------------------
+2018-12-15 14:12:45,813 EPOCH 7 done: loss 0.8035 - lr 0.1000 - bad epochs 0
+2018-12-15 14:14:19,507 TEST : loss 0.65727335 - f-score 0.8757 - acc 0.8757
+2018-12-15 14:14:19,508 ----------------------------------------------------------------------------------------------------
+2018-12-15 14:14:19,743 epoch 8 - iter 0/1974 - loss 1.12786508
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+2018-12-15 14:20:19,859 ----------------------------------------------------------------------------------------------------
+2018-12-15 14:20:19,859 EPOCH 8 done: loss 0.7570 - lr 0.1000 - bad epochs 0
+2018-12-15 14:21:54,153 TEST : loss 0.64024782 - f-score 0.8752 - acc 0.8752
+2018-12-15 14:21:54,154 ----------------------------------------------------------------------------------------------------
+2018-12-15 14:21:54,352 epoch 9 - iter 0/1974 - loss 0.42067185
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+2018-12-15 14:27:57,998 ----------------------------------------------------------------------------------------------------
+2018-12-15 14:27:57,998 EPOCH 9 done: loss 0.7275 - lr 0.1000 - bad epochs 0
+2018-12-15 14:29:34,174 TEST : loss 0.66940421 - f-score 0.8737 - acc 0.8737
+2018-12-15 14:29:34,175 ----------------------------------------------------------------------------------------------------
+2018-12-15 14:29:34,426 epoch 10 - iter 0/1974 - loss 0.55995423
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+2018-12-15 14:35:34,551 ----------------------------------------------------------------------------------------------------
+2018-12-15 14:35:34,551 EPOCH 10 done: loss 0.7045 - lr 0.1000 - bad epochs 0
+2018-12-15 14:37:07,779 TEST : loss 0.63283753 - f-score 0.8781 - acc 0.8782
+2018-12-15 14:37:07,780 ----------------------------------------------------------------------------------------------------
+2018-12-15 14:37:08,008 epoch 11 - iter 0/1974 - loss 0.46092233
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+2018-12-15 14:43:04,835 ----------------------------------------------------------------------------------------------------
+2018-12-15 14:43:04,836 EPOCH 11 done: loss 0.6671 - lr 0.1000 - bad epochs 0
+2018-12-15 14:44:38,995 TEST : loss 0.65828115 - f-score 0.8794 - acc 0.8794
+2018-12-15 14:44:38,996 ----------------------------------------------------------------------------------------------------
+2018-12-15 14:44:39,218 epoch 12 - iter 0/1974 - loss 0.87131506
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+2018-12-15 14:50:36,880 ----------------------------------------------------------------------------------------------------
+2018-12-15 14:50:36,881 EPOCH 12 done: loss 0.6517 - lr 0.1000 - bad epochs 0
+2018-12-15 14:52:13,212 TEST : loss 0.65390968 - f-score 0.8772 - acc 0.8772
+2018-12-15 14:52:13,213 ----------------------------------------------------------------------------------------------------
+2018-12-15 14:52:13,406 epoch 13 - iter 0/1974 - loss 0.18109962
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+2018-12-15 14:58:10,750 ----------------------------------------------------------------------------------------------------
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+2018-12-15 14:59:46,175 TEST : loss 0.66496140 - f-score 0.8773 - acc 0.8773
+2018-12-15 14:59:46,176 ----------------------------------------------------------------------------------------------------
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+2018-12-15 15:05:48,760 ----------------------------------------------------------------------------------------------------
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+2018-12-15 15:07:24,588 TEST : loss 0.67612201 - f-score 0.8770 - acc 0.8770
+2018-12-15 15:07:24,589 ----------------------------------------------------------------------------------------------------
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+2018-12-15 15:13:23,553 ----------------------------------------------------------------------------------------------------
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+2018-12-15 15:15:01,275 ----------------------------------------------------------------------------------------------------
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+2018-12-15 15:20:57,024 ----------------------------------------------------------------------------------------------------
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+2018-12-15 15:22:32,298 ----------------------------------------------------------------------------------------------------
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+2018-12-15 15:28:31,565 ----------------------------------------------------------------------------------------------------
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+2018-12-15 15:30:04,732 ----------------------------------------------------------------------------------------------------
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+2018-12-15 15:36:03,257 ----------------------------------------------------------------------------------------------------
+2018-12-15 15:36:03,257 EPOCH 18 done: loss 0.5574 - lr 0.1000 - bad epochs 0
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+2018-12-15 15:37:37,230 ----------------------------------------------------------------------------------------------------
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+2018-12-16 07:50:57,221 epoch 148 - iter 1773/1974 - loss 0.16725017
+2018-12-16 07:51:34,224 epoch 148 - iter 1970/1974 - loss 0.16874735
+2018-12-16 07:51:34,816 ----------------------------------------------------------------------------------------------------
+2018-12-16 07:51:34,816 EPOCH 148 done: loss 0.1686 - lr 0.0008 - bad epochs 2
+2018-12-16 07:53:09,237 TEST : loss 1.06990933 - f-score 0.8928 - acc 0.8928
+2018-12-16 07:53:09,237 ----------------------------------------------------------------------------------------------------
+2018-12-16 07:53:09,493 epoch 149 - iter 0/1974 - loss 0.29586256
+2018-12-16 07:53:45,067 epoch 149 - iter 197/1974 - loss 0.16789109
+2018-12-16 07:54:20,958 epoch 149 - iter 394/1974 - loss 0.17437841
+2018-12-16 07:54:54,995 epoch 149 - iter 591/1974 - loss 0.17365774
+2018-12-16 07:55:30,726 epoch 149 - iter 788/1974 - loss 0.16979032
+2018-12-16 07:56:05,653 epoch 149 - iter 985/1974 - loss 0.17064174
+2018-12-16 07:56:42,978 epoch 149 - iter 1182/1974 - loss 0.17174734
+2018-12-16 07:57:18,021 epoch 149 - iter 1379/1974 - loss 0.16747380
+2018-12-16 07:57:52,496 epoch 149 - iter 1576/1974 - loss 0.16767700
+2018-12-16 07:58:29,864 epoch 149 - iter 1773/1974 - loss 0.16858239
+2018-12-16 07:59:04,499 epoch 149 - iter 1970/1974 - loss 0.16789131
+2018-12-16 07:59:04,998 ----------------------------------------------------------------------------------------------------
+2018-12-16 07:59:04,998 EPOCH 149 done: loss 0.1680 - lr 0.0004 - bad epochs 0
+2018-12-16 08:00:37,882 TEST : loss 1.06950700 - f-score 0.8928 - acc 0.8928
+2018-12-16 08:00:37,883 ----------------------------------------------------------------------------------------------------
+2018-12-16 08:00:38,156 epoch 150 - iter 0/1974 - loss 0.02574593
+2018-12-16 08:01:14,565 epoch 150 - iter 197/1974 - loss 0.19594260
+2018-12-16 08:01:49,243 epoch 150 - iter 394/1974 - loss 0.18023826
+2018-12-16 08:02:25,133 epoch 150 - iter 591/1974 - loss 0.17644890
+2018-12-16 08:03:00,301 epoch 150 - iter 788/1974 - loss 0.17598695
+2018-12-16 08:03:34,392 epoch 150 - iter 985/1974 - loss 0.17614746
+2018-12-16 08:04:09,144 epoch 150 - iter 1182/1974 - loss 0.17344030
+2018-12-16 08:04:44,646 epoch 150 - iter 1379/1974 - loss 0.17186640
+2018-12-16 08:05:19,726 epoch 150 - iter 1576/1974 - loss 0.17095461
+2018-12-16 08:05:56,073 epoch 150 - iter 1773/1974 - loss 0.16990127
+2018-12-16 08:06:31,745 epoch 150 - iter 1970/1974 - loss 0.16950195
+2018-12-16 08:06:32,375 ----------------------------------------------------------------------------------------------------
+2018-12-16 08:06:32,375 EPOCH 150 done: loss 0.1698 - lr 0.0004 - bad epochs 1
+2018-12-16 08:08:07,735 TEST : loss 1.07030439 - f-score 0.8927 - acc 0.8927
+2018-12-16 08:08:20,980 ----------------------------------------------------------------------------------------------------
+2018-12-16 08:08:20,980 Testing using best model ...
+2018-12-16 08:09:56,527 MICRO_AVG: acc 0.8927 - f1-score 0.8927
+2018-12-16 08:09:56,527 MARCO_AVG: acc 0.8817 - f1-score 0.8865
+2018-12-16 08:09:56,527 LOC        tp: 4103 - fp: 431 - fn: 474 - tn: 4103 - precision: 0.9049 - recall: 0.8964 - accuracy: 0.9007 - f1-score: 0.9006
+2018-12-16 08:09:56,527 MISC       tp: 1883 - fp: 358 - fn: 552 - tn: 1883 - precision: 0.8402 - recall: 0.7733 - accuracy: 0.8054 - f1-score: 0.8054
+2018-12-16 08:09:56,528 ORG        tp: 3975 - fp: 694 - fn: 552 - tn: 3975 - precision: 0.8514 - recall: 0.8781 - accuracy: 0.8645 - f1-score: 0.8645
+2018-12-16 08:09:56,528 PER        tp: 4486 - fp: 238 - fn: 174 - tn: 4486 - precision: 0.9496 - recall: 0.9627 - accuracy: 0.9561 - f1-score: 0.9561
+2018-12-16 08:09:56,528 ----------------------------------------------------------------------------------------------------
+2018-12-16 08:09:56,528 ----------------------------------------------------------------------------------------------------
+2018-12-16 08:10:19,278 conll_03_german: loss 1.13762844 - f-score 0.8733 - acc 0.8733
+2018-12-16 08:10:19,278 ----------------------------------------------------------------------------------------------------
+2018-12-16 08:10:50,971 conll_03_dutch: loss 0.62201685 - f-score 0.8896 - acc 0.8896
+2018-12-16 08:10:50,971 ----------------------------------------------------------------------------------------------------
+2018-12-16 08:11:15,822 conll_03: loss 1.30610251 - f-score 0.9216 - acc 0.9217
+2018-12-16 08:11:15,822 ----------------------------------------------------------------------------------------------------
+2018-12-16 08:11:35,636 conll_03_spanish: loss 1.89260685 - f-score 0.8665 - acc 0.8665