OPTION VALUES: Model directory: ./ Training data file: train.tagged Testing data file: test.tagged Unlabeled data file: data.untagged Label representation: IOB2 Model file: model.txt Training log file (this one): trainlog.txt Second-order Markov CRFs Number of labels: 4 Number of training sequences: 8936 Number of testing sequences: 2012 Number of unlabeled sequences: 0 Number of context predicates: 222181 Number of features: 417831 Feature rare threshold: 1 Context predicate rare threshold: 1 Using multiple rare thresholds for features: 0 Highlight feature: 0 Number of training iterations: 120 Initial lambda value: 0.0500 Sigma square (for smoothing): 100.0000 Epsilon for L-BFGS convergence: 0.000100 Number of approximated hessian matrixes: 7 Start to train ... Iteration: 1 Log-likelihood = -421965.081965 Norm(log-likelihood gradient vector) = 103583.796721 Norm(lambda vector) = 32.319924 Iteration elapsed: 147 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 11922 11066 92.82 89.08 90.91 o 20579 21142 19926 94.25 96.83 95.52 i-np 14376 14313 13245 92.54 92.13 92.34 ----- ------ ----- ----- ------- ------- ------------- Avg1. 93.20 92.68 92.94 Avg2. 47377 47377 44237 93.37 93.37 93.37 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 11922 10291 86.32 82.84 84.55 ----- ------ ----- ----- ------- ------- ------------- Avg1. 86.32 82.84 84.55 Avg2. 12422 11922 10291 86.32 82.84 84.55 Current max chunk-based F1: 84.55 (iteration 1) Training iteration elapsed (including testing & evaluation time): 154 seconds Iteration: 2 Log-likelihood = -327433.161313 Norm(log-likelihood gradient vector) = 82612.864117 Norm(lambda vector) = 32.376252 Iteration elapsed: 145 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 11154 9871 88.50 79.46 83.74 o 20579 21451 19337 90.14 93.96 92.02 i-np 14376 14772 12843 86.94 89.34 88.12 ----- ------ ----- ----- ------- ------- ------------- Avg1. 88.53 87.59 88.06 Avg2. 47377 47377 42051 88.76 88.76 88.76 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 11154 8566 76.80 68.96 72.67 ----- ------ ----- ----- ------- ------- ------------- Avg1. 76.80 68.96 72.67 Avg2. 12422 11154 8566 76.80 68.96 72.67 Current max chunk-based F1: 84.55 (iteration 1) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 3 Log-likelihood = -141187.559525 Norm(log-likelihood gradient vector) = 36025.764907 Norm(lambda vector) = 33.134230 Iteration elapsed: 145 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 10854 10218 94.14 82.26 87.80 o 20579 20995 19787 94.25 96.15 95.19 i-np 14376 15528 13544 87.22 94.21 90.58 ----- ------ ----- ----- ------- ------- ------------- Avg1. 91.87 90.87 91.37 Avg2. 47377 47377 43549 91.92 91.92 91.92 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 10854 9076 83.62 73.06 77.99 ----- ------ ----- ----- ------- ------- ------------- Avg1. 83.62 73.06 77.99 Avg2. 12422 10854 9076 83.62 73.06 77.99 Current max chunk-based F1: 84.55 (iteration 1) Training iteration elapsed (including testing & evaluation time): 151 seconds Iteration: 4 Log-likelihood = -118462.103607 Norm(log-likelihood gradient vector) = 19512.045247 Norm(lambda vector) = 33.279941 Iteration elapsed: 145 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 11756 11033 93.85 88.82 91.26 o 20579 21151 20024 94.67 97.30 95.97 i-np 14376 14470 13371 92.40 93.01 92.71 ----- ------ ----- ----- ------- ------- ------------- Avg1. 93.64 93.04 93.34 Avg2. 47377 47377 44428 93.78 93.78 93.78 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 11756 10097 85.89 81.28 83.52 ----- ------ ----- ----- ------- ------- ------------- Avg1. 85.89 81.28 83.52 Avg2. 12422 11756 10097 85.89 81.28 83.52 Current max chunk-based F1: 84.55 (iteration 1) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 5 Log-likelihood = -108598.340770 Norm(log-likelihood gradient vector) = 15568.281915 Norm(lambda vector) = 33.428328 Iteration elapsed: 146 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12161 11459 94.23 92.25 93.23 o 20579 21296 20182 94.77 98.07 96.39 i-np 14376 13920 13347 95.88 92.84 94.34 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.96 94.39 94.67 Avg2. 47377 47377 44988 94.96 94.96 94.96 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12161 10872 89.40 87.52 88.45 ----- ------ ----- ----- ------- ------- ------------- Avg1. 89.40 87.52 88.45 Avg2. 12422 12161 10872 89.40 87.52 88.45 Current max chunk-based F1: 88.45 (iteration 5) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 6 Log-likelihood = -95229.407711 Norm(log-likelihood gradient vector) = 12527.827777 Norm(lambda vector) = 33.836256 Iteration elapsed: 144 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12306 11655 94.71 93.83 94.27 o 20579 20828 20055 96.29 97.45 96.87 i-np 14376 14242 13568 95.27 94.38 94.82 ----- ------ ----- ----- ------- ------- ------------- Avg1. 95.42 95.22 95.32 Avg2. 47377 47376 45278 95.57 95.57 95.57 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12306 11078 90.02 89.18 89.60 ----- ------ ----- ----- ------- ------- ------------- Avg1. 90.02 89.18 89.60 Avg2. 12422 12306 11078 90.02 89.18 89.60 Current max chunk-based F1: 89.60 (iteration 6) Training iteration elapsed (including testing & evaluation time): 151 seconds Iteration: 7 Log-likelihood = -84638.563994 Norm(log-likelihood gradient vector) = 11624.264032 Norm(lambda vector) = 34.486098 Iteration elapsed: 145 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12293 11695 95.14 94.15 94.64 o 20579 21100 20226 95.86 98.28 97.06 i-np 14376 13983 13488 96.46 93.82 95.12 ----- ------ ----- ----- ------- ------- ------------- Avg1. 95.82 95.42 95.62 Avg2. 47377 47376 45409 95.85 95.85 95.85 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12293 11178 90.93 89.99 90.46 ----- ------ ----- ----- ------- ------- ------------- Avg1. 90.93 89.99 90.46 Avg2. 12422 12293 11178 90.93 89.99 90.46 Current max chunk-based F1: 90.46 (iteration 7) Training iteration elapsed (including testing & evaluation time): 151 seconds Iteration: 8 Log-likelihood = -74646.694119 Norm(log-likelihood gradient vector) = 10436.838054 Norm(lambda vector) = 35.588975 Iteration elapsed: 147 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12217 11708 95.83 94.25 95.04 o 20579 20823 20128 96.66 97.81 97.23 i-np 14376 14335 13682 95.44 95.17 95.31 ----- ------ ----- ----- ------- ------- ------------- Avg1. 95.98 95.74 95.86 Avg2. 47377 47375 45518 96.08 96.08 96.08 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12217 11180 91.51 90.00 90.75 ----- ------ ----- ----- ------- ------- ------------- Avg1. 91.51 90.00 90.75 Avg2. 12422 12217 11180 91.51 90.00 90.75 Current max chunk-based F1: 90.75 (iteration 8) Training iteration elapsed (including testing & evaluation time): 153 seconds Iteration: 9 Log-likelihood = -67209.591367 Norm(log-likelihood gradient vector) = 6945.445787 Norm(lambda vector) = 37.345528 Iteration elapsed: 144 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12257 11743 95.81 94.53 95.17 o 20579 20814 20134 96.73 97.84 97.28 i-np 14376 14304 13671 95.57 95.10 95.33 ----- ------ ----- ----- ------- ------- ------------- Avg1. 96.04 95.82 95.93 Avg2. 47377 47375 45548 96.14 96.14 96.14 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12257 11219 91.53 90.32 90.92 ----- ------ ----- ----- ------- ------- ------------- Avg1. 91.53 90.32 90.92 Avg2. 12422 12257 11219 91.53 90.32 90.92 Current max chunk-based F1: 90.92 (iteration 9) Training iteration elapsed (including testing & evaluation time): 150 seconds Iteration: 10 Log-likelihood = -63717.817587 Norm(log-likelihood gradient vector) = 4826.961307 Norm(lambda vector) = 38.091301 Iteration elapsed: 145 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12320 11815 95.90 95.11 95.51 o 20579 20766 20160 97.08 97.96 97.52 i-np 14376 14288 13723 96.05 95.46 95.75 ----- ------ ----- ----- ------- ------- ------------- Avg1. 96.34 96.18 96.26 Avg2. 47377 47374 45698 96.46 96.46 96.46 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12320 11322 91.90 91.14 91.52 ----- ------ ----- ----- ------- ------- ------------- Avg1. 91.90 91.14 91.52 Avg2. 12422 12320 11322 91.90 91.14 91.52 Current max chunk-based F1: 91.52 (iteration 10) Training iteration elapsed (including testing & evaluation time): 151 seconds Iteration: 11 Log-likelihood = -58452.214232 Norm(log-likelihood gradient vector) = 3700.100889 Norm(lambda vector) = 39.890810 Iteration elapsed: 147 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12529 11918 95.12 95.94 95.53 o 20579 20808 20164 96.91 97.98 97.44 i-np 14376 14037 13560 96.60 94.32 95.45 ----- ------ ----- ----- ------- ------- ------------- Avg1. 96.21 96.08 96.15 Avg2. 47377 47374 45642 96.34 96.34 96.34 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12529 11393 90.93 91.72 91.32 ----- ------ ----- ----- ------- ------- ------------- Avg1. 90.93 91.72 91.32 Avg2. 12422 12529 11393 90.93 91.72 91.32 Current max chunk-based F1: 91.52 (iteration 10) Training iteration elapsed (including testing & evaluation time): 153 seconds Iteration: 12 Log-likelihood = -59874.164135 Norm(log-likelihood gradient vector) = 15847.407159 Norm(lambda vector) = 41.408936 Iteration elapsed: 146 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12400 11861 95.65 95.48 95.57 o 20579 20796 20172 97.00 98.02 97.51 i-np 14376 14178 13658 96.33 95.01 95.66 ----- ------ ----- ----- ------- ------- ------------- Avg1. 96.33 96.17 96.25 Avg2. 47377 47374 45691 96.45 96.44 96.44 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12400 11364 91.65 91.48 91.56 ----- ------ ----- ----- ------- ------- ------------- Avg1. 91.65 91.48 91.56 Avg2. 12422 12400 11364 91.65 91.48 91.56 Current max chunk-based F1: 91.56 (iteration 12) Training iteration elapsed (including testing & evaluation time): 153 seconds Iteration: 13 Log-likelihood = -57300.583777 Norm(log-likelihood gradient vector) = 6106.484662 Norm(lambda vector) = 40.469777 Iteration elapsed: 146 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12348 11843 95.91 95.34 95.62 o 20579 20718 20145 97.23 97.89 97.56 i-np 14376 14308 13737 96.01 95.56 95.78 ----- ------ ----- ----- ------- ------- ------------- Avg1. 96.38 96.26 96.32 Avg2. 47377 47374 45725 96.52 96.51 96.52 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12348 11353 91.94 91.39 91.67 ----- ------ ----- ----- ------- ------- ------------- Avg1. 91.94 91.39 91.67 Avg2. 12422 12348 11353 91.94 91.39 91.67 Current max chunk-based F1: 91.67 (iteration 13) Training iteration elapsed (including testing & evaluation time): 153 seconds Iteration: 14 Log-likelihood = -55431.376456 Norm(log-likelihood gradient vector) = 4126.661743 Norm(lambda vector) = 41.415757 Iteration elapsed: 144 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12338 11851 96.05 95.40 95.73 o 20579 20696 20143 97.33 97.88 97.60 i-np 14376 14341 13761 95.96 95.72 95.84 ----- ------ ----- ----- ------- ------- ------------- Avg1. 96.45 96.34 96.39 Avg2. 47377 47375 45755 96.58 96.58 96.58 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12338 11369 92.15 91.52 91.83 ----- ------ ----- ----- ------- ------- ------------- Avg1. 92.15 91.52 91.83 Avg2. 12422 12338 11369 92.15 91.52 91.83 Current max chunk-based F1: 91.83 (iteration 14) Training iteration elapsed (including testing & evaluation time): 151 seconds Iteration: 15 Log-likelihood = -54089.359707 Norm(log-likelihood gradient vector) = 3719.306060 Norm(lambda vector) = 42.632180 Iteration elapsed: 146 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12330 11870 96.27 95.56 95.91 o 20579 20678 20146 97.43 97.90 97.66 i-np 14376 14368 13792 95.99 95.94 95.96 ----- ------ ----- ----- ------- ------- ------------- Avg1. 96.56 96.46 96.51 Avg2. 47377 47376 45808 96.69 96.69 96.69 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12330 11392 92.39 91.71 92.05 ----- ------ ----- ----- ------- ------- ------------- Avg1. 92.39 91.71 92.05 Avg2. 12422 12330 11392 92.39 91.71 92.05 Current max chunk-based F1: 92.05 (iteration 15) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 16 Log-likelihood = -51972.608138 Norm(log-likelihood gradient vector) = 3341.972392 Norm(lambda vector) = 43.889302 Iteration elapsed: 146 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12350 11908 96.42 95.86 96.14 o 20579 20623 20138 97.65 97.86 97.75 i-np 14376 14403 13839 96.08 96.26 96.17 ----- ------ ----- ----- ------- ------- ------------- Avg1. 96.72 96.66 96.69 Avg2. 47377 47376 45885 96.85 96.85 96.85 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12350 11445 92.67 92.13 92.40 ----- ------ ----- ----- ------- ------- ------------- Avg1. 92.67 92.13 92.40 Avg2. 12422 12350 11445 92.67 92.13 92.40 Current max chunk-based F1: 92.40 (iteration 16) Training iteration elapsed (including testing & evaluation time): 153 seconds Iteration: 17 Log-likelihood = -46640.155407 Norm(log-likelihood gradient vector) = 5142.526788 Norm(lambda vector) = 46.676589 Iteration elapsed: 146 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12348 11892 96.31 95.73 96.02 o 20579 20746 20186 97.30 98.09 97.69 i-np 14376 14282 13787 96.53 95.90 96.22 ----- ------ ----- ----- ------- ------- ------------- Avg1. 96.71 96.58 96.64 Avg2. 47377 47376 45865 96.81 96.81 96.81 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12348 11463 92.83 92.28 92.56 ----- ------ ----- ----- ------- ------- ------------- Avg1. 92.83 92.28 92.56 Avg2. 12422 12348 11463 92.83 92.28 92.56 Current max chunk-based F1: 92.56 (iteration 17) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 18 Log-likelihood = -43491.664247 Norm(log-likelihood gradient vector) = 4677.461103 Norm(lambda vector) = 48.841515 Iteration elapsed: 145 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12311 11888 96.56 95.70 96.13 o 20579 20662 20153 97.54 97.93 97.73 i-np 14376 14403 13852 96.17 96.36 96.26 ----- ------ ----- ----- ------- ------- ------------- Avg1. 96.76 96.66 96.71 Avg2. 47377 47376 45893 96.87 96.87 96.87 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12311 11449 93.00 92.17 92.58 ----- ------ ----- ----- ------- ------- ------------- Avg1. 93.00 92.17 92.58 Avg2. 12422 12311 11449 93.00 92.17 92.58 Current max chunk-based F1: 92.58 (iteration 18) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 19 Log-likelihood = -41671.680308 Norm(log-likelihood gradient vector) = 2679.320905 Norm(lambda vector) = 48.896569 Iteration elapsed: 146 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12344 11921 96.57 95.97 96.27 o 20579 20639 20155 97.65 97.94 97.80 i-np 14376 14393 13859 96.29 96.40 96.35 ----- ------ ----- ----- ------- ------- ------------- Avg1. 96.84 96.77 96.80 Avg2. 47377 47376 45935 96.96 96.96 96.96 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12344 11488 93.07 92.48 92.77 ----- ------ ----- ----- ------- ------- ------------- Avg1. 93.07 92.48 92.77 Avg2. 12422 12344 11488 93.07 92.48 92.77 Current max chunk-based F1: 92.77 (iteration 19) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 20 Log-likelihood = -39720.384422 Norm(log-likelihood gradient vector) = 1978.053194 Norm(lambda vector) = 49.246495 Iteration elapsed: 146 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12311 11906 96.71 95.85 96.28 o 20579 20588 20126 97.76 97.80 97.78 i-np 14376 14477 13897 95.99 96.67 96.33 ----- ------ ----- ----- ------- ------- ------------- Avg1. 96.82 96.77 96.80 Avg2. 47377 47376 45929 96.95 96.94 96.94 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12311 11469 93.16 92.33 92.74 ----- ------ ----- ----- ------- ------- ------------- Avg1. 93.16 92.33 92.74 Avg2. 12422 12311 11469 93.16 92.33 92.74 Current max chunk-based F1: 92.77 (iteration 19) Training iteration elapsed (including testing & evaluation time): 153 seconds Iteration: 21 Log-likelihood = -38118.343964 Norm(log-likelihood gradient vector) = 3135.227821 Norm(lambda vector) = 50.145338 Iteration elapsed: 143 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12341 11927 96.65 96.02 96.33 o 20579 20596 20134 97.76 97.84 97.80 i-np 14376 14439 13886 96.17 96.59 96.38 ----- ------ ----- ----- ------- ------- ------------- Avg1. 96.86 96.81 96.84 Avg2. 47377 47376 45947 96.98 96.98 96.98 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12341 11499 93.18 92.57 92.87 ----- ------ ----- ----- ------- ------- ------------- Avg1. 93.18 92.57 92.87 Avg2. 12422 12341 11499 93.18 92.57 92.87 Current max chunk-based F1: 92.87 (iteration 21) Training iteration elapsed (including testing & evaluation time): 150 seconds Iteration: 22 Log-likelihood = -36996.224488 Norm(log-likelihood gradient vector) = 2423.291521 Norm(lambda vector) = 51.151927 Iteration elapsed: 144 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12345 11940 96.72 96.12 96.42 o 20579 20617 20154 97.75 97.93 97.84 i-np 14376 14414 13889 96.36 96.61 96.48 ----- ------ ----- ----- ------- ------- ------------- Avg1. 96.94 96.89 96.92 Avg2. 47377 47376 45983 97.06 97.06 97.06 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12345 11527 93.37 92.80 93.08 ----- ------ ----- ----- ------- ------- ------------- Avg1. 93.37 92.80 93.08 Avg2. 12422 12345 11527 93.37 92.80 93.08 Current max chunk-based F1: 93.08 (iteration 22) Training iteration elapsed (including testing & evaluation time): 151 seconds Iteration: 23 Log-likelihood = -34488.491780 Norm(log-likelihood gradient vector) = 2108.684573 Norm(lambda vector) = 55.017183 Iteration elapsed: 145 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12554 12028 95.81 96.83 96.32 o 20579 20702 20187 97.51 98.10 97.80 i-np 14376 14120 13722 97.18 95.45 96.31 ----- ------ ----- ----- ------- ------- ------------- Avg1. 96.83 96.79 96.81 Avg2. 47377 47376 45937 96.96 96.96 96.96 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12554 11608 92.46 93.45 92.95 ----- ------ ----- ----- ------- ------- ------------- Avg1. 92.46 93.45 92.95 Avg2. 12422 12554 11608 92.46 93.45 92.95 Current max chunk-based F1: 93.08 (iteration 22) Training iteration elapsed (including testing & evaluation time): 151 seconds Iteration: 24 Log-likelihood = -34988.143374 Norm(log-likelihood gradient vector) = 7635.439824 Norm(lambda vector) = 57.627205 Iteration elapsed: 146 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12424 11986 96.47 96.49 96.48 o 20579 20656 20181 97.70 98.07 97.88 i-np 14376 14297 13838 96.79 96.26 96.52 ----- ------ ----- ----- ------- ------- ------------- Avg1. 96.99 96.94 96.96 Avg2. 47377 47377 46005 97.10 97.10 97.10 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12424 11581 93.21 93.23 93.22 ----- ------ ----- ----- ------- ------- ------------- Avg1. 93.21 93.23 93.22 Avg2. 12422 12424 11581 93.21 93.23 93.22 Current max chunk-based F1: 93.22 (iteration 24) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 25 Log-likelihood = -34031.922493 Norm(log-likelihood gradient vector) = 3128.575296 Norm(lambda vector) = 56.066726 Iteration elapsed: 147 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12410 11981 96.54 96.45 96.50 o 20579 20647 20179 97.73 98.06 97.89 i-np 14376 14320 13854 96.75 96.37 96.56 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.01 96.96 96.98 Avg2. 47377 47377 46014 97.12 97.12 97.12 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12410 11580 93.31 93.22 93.27 ----- ------ ----- ----- ------- ------- ------------- Avg1. 93.31 93.22 93.27 Avg2. 12422 12410 11580 93.31 93.22 93.27 Current max chunk-based F1: 93.27 (iteration 25) Training iteration elapsed (including testing & evaluation time): 153 seconds Iteration: 26 Log-likelihood = -33346.923388 Norm(log-likelihood gradient vector) = 2321.740466 Norm(lambda vector) = 57.854710 Iteration elapsed: 146 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12373 11975 96.78 96.40 96.59 o 20579 20625 20179 97.84 98.06 97.95 i-np 14376 14379 13897 96.65 96.67 96.66 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.09 97.04 97.07 Avg2. 47377 47377 46051 97.20 97.20 97.20 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12373 11580 93.59 93.22 93.41 ----- ------ ----- ----- ------- ------- ------------- Avg1. 93.59 93.22 93.41 Avg2. 12422 12373 11580 93.59 93.22 93.41 Current max chunk-based F1: 93.41 (iteration 26) Training iteration elapsed (including testing & evaluation time): 153 seconds Iteration: 27 Log-likelihood = -31954.017026 Norm(log-likelihood gradient vector) = 1517.876985 Norm(lambda vector) = 60.521962 Iteration elapsed: 146 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12364 11977 96.87 96.42 96.64 o 20579 20640 20194 97.84 98.13 97.98 i-np 14376 14373 13910 96.78 96.76 96.77 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.16 97.10 97.13 Avg2. 47377 47377 46081 97.26 97.26 97.26 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12364 11598 93.80 93.37 93.59 ----- ------ ----- ----- ------- ------- ------------- Avg1. 93.80 93.37 93.59 Avg2. 12422 12364 11598 93.80 93.37 93.59 Current max chunk-based F1: 93.59 (iteration 27) Training iteration elapsed (including testing & evaluation time): 153 seconds Iteration: 28 Log-likelihood = -30591.487445 Norm(log-likelihood gradient vector) = 1737.678295 Norm(lambda vector) = 63.100073 Iteration elapsed: 145 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12335 11953 96.90 96.22 96.56 o 20579 20394 20065 98.39 97.50 97.94 i-np 14376 14648 14024 95.74 97.55 96.64 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.01 97.09 97.05 Avg2. 47377 47377 46042 97.18 97.18 97.18 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12335 11562 93.73 93.08 93.40 ----- ------ ----- ----- ------- ------- ------------- Avg1. 93.73 93.08 93.40 Avg2. 12422 12335 11562 93.73 93.08 93.40 Current max chunk-based F1: 93.59 (iteration 27) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 29 Log-likelihood = -30747.812266 Norm(log-likelihood gradient vector) = 7176.739548 Norm(lambda vector) = 67.343657 Iteration elapsed: 146 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12351 11978 96.98 96.43 96.70 o 20579 20523 20144 98.15 97.89 98.02 i-np 14376 14503 13977 96.37 97.22 96.80 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.17 97.18 97.17 Avg2. 47377 47377 46099 97.30 97.30 97.30 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12351 11598 93.90 93.37 93.63 ----- ------ ----- ----- ------- ------- ------------- Avg1. 93.90 93.37 93.63 Avg2. 12422 12351 11598 93.90 93.37 93.63 Current max chunk-based F1: 93.63 (iteration 29) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 30 Log-likelihood = -29856.974553 Norm(log-likelihood gradient vector) = 3310.643615 Norm(lambda vector) = 65.106335 Iteration elapsed: 146 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12377 11989 96.87 96.51 96.69 o 20579 20571 20165 98.03 97.99 98.01 i-np 14376 14429 13941 96.62 96.97 96.80 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.17 97.16 97.16 Avg2. 47377 47377 46095 97.29 97.29 97.29 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12377 11616 93.85 93.51 93.68 ----- ------ ----- ----- ------- ------- ------------- Avg1. 93.85 93.51 93.68 Avg2. 12422 12377 11616 93.85 93.51 93.68 Current max chunk-based F1: 93.68 (iteration 30) Training iteration elapsed (including testing & evaluation time): 153 seconds Iteration: 31 Log-likelihood = -29041.819362 Norm(log-likelihood gradient vector) = 1816.718964 Norm(lambda vector) = 65.985797 Iteration elapsed: 145 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12378 11992 96.88 96.54 96.71 o 20579 20609 20189 97.96 98.10 98.03 i-np 14376 14390 13924 96.76 96.86 96.81 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.20 97.17 97.18 Avg2. 47377 47377 46105 97.32 97.32 97.32 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12378 11619 93.87 93.54 93.70 ----- ------ ----- ----- ------- ------- ------------- Avg1. 93.87 93.54 93.70 Avg2. 12422 12378 11619 93.87 93.54 93.70 Current max chunk-based F1: 93.70 (iteration 31) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 32 Log-likelihood = -28315.919121 Norm(log-likelihood gradient vector) = 1350.674224 Norm(lambda vector) = 66.446180 Iteration elapsed: 145 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12413 12007 96.73 96.66 96.69 o 20579 20672 20225 97.84 98.28 98.06 i-np 14376 14292 13883 97.14 96.57 96.85 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.24 97.17 97.20 Avg2. 47377 47377 46115 97.34 97.34 97.34 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12413 11642 93.79 93.72 93.75 ----- ------ ----- ----- ------- ------- ------------- Avg1. 93.79 93.72 93.75 Avg2. 12422 12413 11642 93.79 93.72 93.75 Current max chunk-based F1: 93.75 (iteration 32) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 33 Log-likelihood = -27659.059255 Norm(log-likelihood gradient vector) = 2123.460740 Norm(lambda vector) = 67.362533 Iteration elapsed: 146 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12366 11989 96.95 96.51 96.73 o 20579 20631 20212 97.97 98.22 98.09 i-np 14376 14380 13928 96.86 96.88 96.87 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.26 97.20 97.23 Avg2. 47377 47377 46129 97.37 97.37 97.37 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12366 11620 93.97 93.54 93.76 ----- ------ ----- ----- ------- ------- ------------- Avg1. 93.97 93.54 93.76 Avg2. 12422 12366 11620 93.97 93.54 93.76 Current max chunk-based F1: 93.76 (iteration 33) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 34 Log-likelihood = -27112.956762 Norm(log-likelihood gradient vector) = 2637.957542 Norm(lambda vector) = 68.474507 Iteration elapsed: 147 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12365 11994 97.00 96.55 96.78 o 20579 20619 20209 98.01 98.20 98.11 i-np 14376 14393 13936 96.82 96.94 96.88 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.28 97.23 97.26 Avg2. 47377 47377 46139 97.39 97.39 97.39 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12365 11628 94.04 93.61 93.82 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.04 93.61 93.82 Avg2. 12422 12365 11628 94.04 93.61 93.82 Current max chunk-based F1: 93.82 (iteration 34) Training iteration elapsed (including testing & evaluation time): 154 seconds Iteration: 35 Log-likelihood = -26708.435241 Norm(log-likelihood gradient vector) = 1475.011767 Norm(lambda vector) = 69.114195 Iteration elapsed: 145 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12365 12002 97.06 96.62 96.84 o 20579 20600 20205 98.08 98.18 98.13 i-np 14376 14412 13949 96.79 97.03 96.91 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.31 97.28 97.29 Avg2. 47377 47377 46156 97.42 97.42 97.42 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12365 11638 94.12 93.69 93.90 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.12 93.69 93.90 Avg2. 12422 12365 11638 94.12 93.69 93.90 Current max chunk-based F1: 93.90 (iteration 35) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 36 Log-likelihood = -26232.580201 Norm(log-likelihood gradient vector) = 1580.287581 Norm(lambda vector) = 70.606339 Iteration elapsed: 147 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12371 12003 97.03 96.63 96.83 o 20579 20604 20208 98.08 98.20 98.14 i-np 14376 14402 13940 96.79 96.97 96.88 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.30 97.26 97.28 Avg2. 47377 47377 46151 97.41 97.41 97.41 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12371 11638 94.07 93.69 93.88 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.07 93.69 93.88 Avg2. 12422 12371 11638 94.07 93.69 93.88 Current max chunk-based F1: 93.90 (iteration 35) Training iteration elapsed (including testing & evaluation time): 154 seconds Iteration: 37 Log-likelihood = -25721.312702 Norm(log-likelihood gradient vector) = 1731.256313 Norm(lambda vector) = 71.733268 Iteration elapsed: 146 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12417 12015 96.76 96.72 96.74 o 20579 20609 20201 98.02 98.16 98.09 i-np 14376 14351 13907 96.91 96.74 96.82 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.23 97.21 97.22 Avg2. 47377 47377 46123 97.35 97.35 97.35 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12417 11651 93.83 93.79 93.81 ----- ------ ----- ----- ------- ------- ------------- Avg1. 93.83 93.79 93.81 Avg2. 12422 12417 11651 93.83 93.79 93.81 Current max chunk-based F1: 93.90 (iteration 35) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 38 Log-likelihood = -23832.553931 Norm(log-likelihood gradient vector) = 2324.189017 Norm(lambda vector) = 75.293715 Iteration elapsed: 147 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12292 11957 97.27 96.26 96.76 o 20579 20560 20176 98.13 98.04 98.09 i-np 14376 14525 13992 96.33 97.33 96.83 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.25 97.21 97.23 Avg2. 47377 47377 46125 97.36 97.36 97.36 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12292 11593 94.31 93.33 93.82 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.31 93.33 93.82 Avg2. 12422 12292 11593 94.31 93.33 93.82 Current max chunk-based F1: 93.90 (iteration 35) Training iteration elapsed (including testing & evaluation time): 154 seconds Iteration: 39 Log-likelihood = -22180.325064 Norm(log-likelihood gradient vector) = 2776.908525 Norm(lambda vector) = 78.749772 Iteration elapsed: 145 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12358 11994 97.05 96.55 96.80 o 20579 20633 20216 97.98 98.24 98.11 i-np 14376 14386 13930 96.83 96.90 96.86 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.29 97.23 97.26 Avg2. 47377 47377 46140 97.39 97.39 97.39 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12358 11633 94.13 93.65 93.89 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.13 93.65 93.89 Avg2. 12422 12358 11633 94.13 93.65 93.89 Current max chunk-based F1: 93.90 (iteration 35) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 40 Log-likelihood = -21646.406669 Norm(log-likelihood gradient vector) = 1183.801184 Norm(lambda vector) = 78.110819 Iteration elapsed: 145 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12379 12007 96.99 96.66 96.83 o 20579 20651 20228 97.95 98.29 98.12 i-np 14376 14347 13914 96.98 96.79 96.88 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.31 97.25 97.28 Avg2. 47377 47377 46149 97.41 97.41 97.41 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12379 11644 94.06 93.74 93.90 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.06 93.74 93.90 Avg2. 12422 12379 11644 94.06 93.74 93.90 Current max chunk-based F1: 93.90 (iteration 35) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 41 Log-likelihood = -20954.104971 Norm(log-likelihood gradient vector) = 1345.549690 Norm(lambda vector) = 78.102253 Iteration elapsed: 147 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12380 12002 96.95 96.62 96.78 o 20579 20658 20230 97.93 98.30 98.12 i-np 14376 14339 13909 97.00 96.75 96.88 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.29 97.22 97.26 Avg2. 47377 47377 46141 97.39 97.39 97.39 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12380 11640 94.02 93.70 93.86 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.02 93.70 93.86 Avg2. 12422 12380 11640 94.02 93.70 93.86 Current max chunk-based F1: 93.90 (iteration 35) Training iteration elapsed (including testing & evaluation time): 154 seconds Iteration: 42 Log-likelihood = -20278.368733 Norm(log-likelihood gradient vector) = 1576.555226 Norm(lambda vector) = 78.705696 Iteration elapsed: 146 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12401 12014 96.88 96.72 96.80 o 20579 20701 20254 97.84 98.42 98.13 i-np 14376 14275 13885 97.27 96.58 96.93 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.33 97.24 97.28 Avg2. 47377 47377 46153 97.42 97.42 97.42 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12401 11657 94.00 93.84 93.92 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.00 93.84 93.92 Avg2. 12422 12401 11657 94.00 93.84 93.92 Current max chunk-based F1: 93.92 (iteration 42) Training iteration elapsed (including testing & evaluation time): 153 seconds Iteration: 43 Log-likelihood = -19082.562071 Norm(log-likelihood gradient vector) = 1924.263476 Norm(lambda vector) = 81.127738 Iteration elapsed: 145 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12329 11970 97.09 96.36 96.72 o 20579 20551 20169 98.14 98.01 98.07 i-np 14376 14497 13978 96.42 97.23 96.82 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.22 97.20 97.21 Avg2. 47377 47377 46117 97.34 97.34 97.34 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12329 11605 94.13 93.42 93.77 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.13 93.42 93.77 Avg2. 12422 12329 11605 94.13 93.42 93.77 Current max chunk-based F1: 93.92 (iteration 42) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 44 Log-likelihood = -18085.401878 Norm(log-likelihood gradient vector) = 3357.541099 Norm(lambda vector) = 86.097476 Iteration elapsed: 144 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12362 11994 97.02 96.55 96.79 o 20579 20637 20223 97.99 98.27 98.13 i-np 14376 14378 13932 96.90 96.91 96.90 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.31 97.25 97.28 Avg2. 47377 47377 46149 97.41 97.41 97.41 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12362 11637 94.14 93.68 93.91 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.14 93.68 93.91 Avg2. 12422 12362 11637 94.14 93.68 93.91 Current max chunk-based F1: 93.92 (iteration 42) Training iteration elapsed (including testing & evaluation time): 151 seconds Iteration: 45 Log-likelihood = -18214.644347 Norm(log-likelihood gradient vector) = 1721.658661 Norm(lambda vector) = 83.552608 Iteration elapsed: 146 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12368 12008 97.09 96.67 96.88 o 20579 20594 20214 98.15 98.23 98.19 i-np 14376 14415 13962 96.86 97.12 96.99 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.37 97.34 97.35 Avg2. 47377 47377 46184 97.48 97.48 97.48 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12368 11663 94.30 93.89 94.09 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.30 93.89 94.09 Avg2. 12422 12368 11663 94.30 93.89 94.09 Current max chunk-based F1: 94.09 (iteration 45) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 46 Log-likelihood = -17978.721948 Norm(log-likelihood gradient vector) = 1024.265856 Norm(lambda vector) = 84.385171 Iteration elapsed: 147 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12352 12000 97.15 96.60 96.88 o 20579 20569 20193 98.17 98.12 98.15 i-np 14376 14456 13980 96.71 97.25 96.98 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.34 97.32 97.33 Avg2. 47377 47377 46173 97.46 97.46 97.46 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12352 11654 94.35 93.82 94.08 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.35 93.82 94.08 Avg2. 12422 12352 11654 94.35 93.82 94.08 Current max chunk-based F1: 94.09 (iteration 45) Training iteration elapsed (including testing & evaluation time): 154 seconds Iteration: 47 Log-likelihood = -17723.721482 Norm(log-likelihood gradient vector) = 1098.057214 Norm(lambda vector) = 85.931594 Iteration elapsed: 145 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12349 11998 97.16 96.59 96.87 o 20579 20568 20194 98.18 98.13 98.16 i-np 14376 14460 13982 96.69 97.26 96.98 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.34 97.33 97.33 Avg2. 47377 47377 46174 97.46 97.46 97.46 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12349 11651 94.35 93.79 94.07 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.35 93.79 94.07 Avg2. 12422 12349 11651 94.35 93.79 94.07 Current max chunk-based F1: 94.09 (iteration 45) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 48 Log-likelihood = -17328.638192 Norm(log-likelihood gradient vector) = 1272.009878 Norm(lambda vector) = 87.005664 Iteration elapsed: 145 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12393 12015 96.95 96.72 96.84 o 20579 20618 20219 98.06 98.25 98.16 i-np 14376 14366 13937 97.01 96.95 96.98 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.34 97.31 97.32 Avg2. 47377 47377 46171 97.45 97.45 97.45 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12393 11670 94.17 93.95 94.06 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.17 93.95 94.06 Avg2. 12422 12393 11670 94.17 93.95 94.06 Current max chunk-based F1: 94.09 (iteration 45) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 49 Log-likelihood = -16782.381030 Norm(log-likelihood gradient vector) = 1348.612658 Norm(lambda vector) = 90.448961 Iteration elapsed: 145 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12315 11979 97.27 96.43 96.85 o 20579 20566 20193 98.19 98.12 98.16 i-np 14376 14496 14001 96.59 97.39 96.99 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.35 97.32 97.33 Avg2. 47377 47377 46173 97.46 97.46 97.46 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12315 11632 94.45 93.64 94.05 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.45 93.64 94.05 Avg2. 12422 12315 11632 94.45 93.64 94.05 Current max chunk-based F1: 94.09 (iteration 45) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 50 Log-likelihood = -16172.398728 Norm(log-likelihood gradient vector) = 1523.566812 Norm(lambda vector) = 91.405642 Iteration elapsed: 145 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12349 11996 97.14 96.57 96.86 o 20579 20599 20211 98.12 98.21 98.16 i-np 14376 14429 13969 96.81 97.17 96.99 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.36 97.32 97.34 Avg2. 47377 47377 46176 97.47 97.47 97.47 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12349 11654 94.37 93.82 94.09 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.37 93.82 94.09 Avg2. 12422 12349 11654 94.37 93.82 94.09 Current max chunk-based F1: 94.09 (iteration 45) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 51 Log-likelihood = -15790.530798 Norm(log-likelihood gradient vector) = 917.285119 Norm(lambda vector) = 91.395873 Iteration elapsed: 146 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12373 12001 96.99 96.61 96.80 o 20579 20639 20232 98.03 98.31 98.17 i-np 14376 14365 13939 97.03 96.96 97.00 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.35 97.29 97.32 Avg2. 47377 47377 46172 97.46 97.46 97.46 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12373 11659 94.23 93.86 94.04 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.23 93.86 94.04 Avg2. 12422 12373 11659 94.23 93.86 94.04 Current max chunk-based F1: 94.09 (iteration 45) Training iteration elapsed (including testing & evaluation time): 153 seconds Iteration: 52 Log-likelihood = -15169.189289 Norm(log-likelihood gradient vector) = 784.326921 Norm(lambda vector) = 92.056387 Iteration elapsed: 147 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12378 11998 96.93 96.59 96.76 o 20579 20627 20227 98.06 98.29 98.18 i-np 14376 14372 13938 96.98 96.95 96.97 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.32 97.28 97.30 Avg2. 47377 47377 46163 97.44 97.44 97.44 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12378 11655 94.16 93.83 93.99 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.16 93.83 93.99 Avg2. 12422 12378 11655 94.16 93.83 93.99 Current max chunk-based F1: 94.09 (iteration 45) Training iteration elapsed (including testing & evaluation time): 154 seconds Iteration: 53 Log-likelihood = -14617.512798 Norm(log-likelihood gradient vector) = 945.863549 Norm(lambda vector) = 93.285192 Iteration elapsed: 145 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12404 12016 96.87 96.73 96.80 o 20579 20670 20244 97.94 98.37 98.16 i-np 14376 14303 13902 97.20 96.70 96.95 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.34 97.27 97.30 Avg2. 47377 47377 46162 97.44 97.44 97.44 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12404 11676 94.13 93.99 94.06 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.13 93.99 94.06 Avg2. 12422 12404 11676 94.13 93.99 94.06 Current max chunk-based F1: 94.09 (iteration 45) Training iteration elapsed (including testing & evaluation time): 151 seconds Iteration: 54 Log-likelihood = -13958.237312 Norm(log-likelihood gradient vector) = 3696.912389 Norm(lambda vector) = 96.631154 Iteration elapsed: 147 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12390 12008 96.92 96.67 96.79 o 20579 20638 20235 98.05 98.33 98.19 i-np 14376 14349 13927 97.06 96.88 96.97 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.34 97.29 97.32 Avg2. 47377 47377 46170 97.45 97.45 97.45 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12390 11666 94.16 93.91 94.04 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.16 93.91 94.04 Avg2. 12422 12390 11666 94.16 93.91 94.04 Current max chunk-based F1: 94.09 (iteration 45) Training iteration elapsed (including testing & evaluation time): 154 seconds Iteration: 55 Log-likelihood = -14092.564525 Norm(log-likelihood gradient vector) = 1499.706920 Norm(lambda vector) = 94.693921 Iteration elapsed: 144 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12380 12007 96.99 96.66 96.82 o 20579 20616 20224 98.10 98.27 98.19 i-np 14376 14381 13942 96.95 96.98 96.96 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.34 97.31 97.32 Avg2. 47377 47377 46173 97.46 97.46 97.46 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12380 11663 94.21 93.89 94.05 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.21 93.89 94.05 Avg2. 12422 12380 11663 94.21 93.89 94.05 Current max chunk-based F1: 94.09 (iteration 45) Training iteration elapsed (including testing & evaluation time): 151 seconds Iteration: 56 Log-likelihood = -13458.221678 Norm(log-likelihood gradient vector) = 815.090987 Norm(lambda vector) = 96.357614 Iteration elapsed: 146 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12365 12004 97.08 96.64 96.86 o 20579 20599 20215 98.14 98.23 98.18 i-np 14376 14413 13962 96.87 97.12 97.00 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.36 97.33 97.35 Avg2. 47377 47377 46181 97.48 97.48 97.48 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12365 11664 94.33 93.90 94.11 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.33 93.90 94.11 Avg2. 12422 12365 11664 94.33 93.90 94.11 Current max chunk-based F1: 94.11 (iteration 56) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 57 Log-likelihood = -13082.671620 Norm(log-likelihood gradient vector) = 728.737289 Norm(lambda vector) = 96.985820 Iteration elapsed: 146 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12356 12010 97.20 96.68 96.94 o 20579 20586 20214 98.19 98.23 98.21 i-np 14376 14435 13981 96.85 97.25 97.05 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.42 97.39 97.40 Avg2. 47377 47377 46205 97.53 97.53 97.53 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12356 11666 94.42 93.91 94.16 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.42 93.91 94.16 Avg2. 12422 12356 11666 94.42 93.91 94.16 Current max chunk-based F1: 94.16 (iteration 57) Training iteration elapsed (including testing & evaluation time): 153 seconds Iteration: 58 Log-likelihood = -12611.329386 Norm(log-likelihood gradient vector) = 996.235313 Norm(lambda vector) = 97.977527 Iteration elapsed: 146 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12344 12015 97.33 96.72 97.03 o 20579 20552 20202 98.30 98.17 98.23 i-np 14376 14481 14006 96.72 97.43 97.07 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.45 97.44 97.44 Avg2. 47377 47377 46223 97.56 97.56 97.56 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12344 11671 94.55 93.95 94.25 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.55 93.95 94.25 Avg2. 12422 12344 11671 94.55 93.95 94.25 Current max chunk-based F1: 94.25 (iteration 58) Training iteration elapsed (including testing & evaluation time): 153 seconds Iteration: 59 Log-likelihood = -12329.601378 Norm(log-likelihood gradient vector) = 1453.651833 Norm(lambda vector) = 98.982418 Iteration elapsed: 146 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12427 12046 96.93 96.97 96.95 o 20579 20664 20249 97.99 98.40 98.19 i-np 14376 14286 13903 97.32 96.71 97.01 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.41 97.36 97.39 Avg2. 47377 47377 46198 97.51 97.51 97.51 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12427 11702 94.17 94.20 94.18 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.17 94.20 94.18 Avg2. 12422 12427 11702 94.17 94.20 94.18 Current max chunk-based F1: 94.25 (iteration 58) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 60 Log-likelihood = -12094.634649 Norm(log-likelihood gradient vector) = 1464.772652 Norm(lambda vector) = 101.118362 Iteration elapsed: 147 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12394 12038 97.13 96.91 97.02 o 20579 20614 20233 98.15 98.32 98.24 i-np 14376 14369 13955 97.12 97.07 97.10 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.47 97.43 97.45 Avg2. 47377 47377 46226 97.57 97.57 97.57 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12394 11700 94.40 94.19 94.29 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.40 94.19 94.29 Avg2. 12422 12394 11700 94.40 94.19 94.29 Current max chunk-based F1: 94.29 (iteration 60) Training iteration elapsed (including testing & evaluation time): 154 seconds Iteration: 61 Log-likelihood = -12004.591720 Norm(log-likelihood gradient vector) = 624.213709 Norm(lambda vector) = 100.552799 Iteration elapsed: 145 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12381 12032 97.18 96.86 97.02 o 20579 20598 20225 98.19 98.28 98.23 i-np 14376 14398 13970 97.03 97.18 97.10 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.47 97.44 97.45 Avg2. 47377 47377 46227 97.57 97.57 97.57 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12381 11699 94.49 94.18 94.34 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.49 94.18 94.34 Avg2. 12422 12381 11699 94.49 94.18 94.34 Current max chunk-based F1: 94.34 (iteration 61) Training iteration elapsed (including testing & evaluation time): 151 seconds Iteration: 62 Log-likelihood = -11942.380326 Norm(log-likelihood gradient vector) = 676.888442 Norm(lambda vector) = 100.375112 Iteration elapsed: 146 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12374 12028 97.20 96.83 97.02 o 20579 20597 20227 98.20 98.29 98.25 i-np 14376 14406 13981 97.05 97.25 97.15 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.49 97.46 97.47 Avg2. 47377 47377 46236 97.59 97.59 97.59 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12374 11704 94.59 94.22 94.40 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.59 94.22 94.40 Avg2. 12422 12374 11704 94.59 94.22 94.40 Current max chunk-based F1: 94.40 (iteration 62) Training iteration elapsed (including testing & evaluation time): 153 seconds Iteration: 63 Log-likelihood = -11722.039628 Norm(log-likelihood gradient vector) = 792.290879 Norm(lambda vector) = 100.657944 Iteration elapsed: 146 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12376 12023 97.15 96.79 96.97 o 20579 20620 20228 98.10 98.29 98.20 i-np 14376 14381 13965 97.11 97.14 97.12 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.45 97.41 97.43 Avg2. 47377 47377 46216 97.55 97.55 97.55 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12376 11702 94.55 94.20 94.38 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.55 94.20 94.38 Avg2. 12422 12376 11702 94.55 94.20 94.38 Current max chunk-based F1: 94.40 (iteration 62) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 64 Log-likelihood = -11213.020517 Norm(log-likelihood gradient vector) = 1513.675549 Norm(lambda vector) = 102.487354 Iteration elapsed: 145 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12336 12001 97.28 96.61 96.95 o 20579 20566 20199 98.22 98.15 98.18 i-np 14376 14475 13999 96.71 97.38 97.04 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.40 97.38 97.39 Avg2. 47377 47377 46199 97.51 97.51 97.51 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12336 11658 94.50 93.85 94.18 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.50 93.85 94.18 Avg2. 12422 12336 11658 94.50 93.85 94.18 Current max chunk-based F1: 94.40 (iteration 62) Training iteration elapsed (including testing & evaluation time): 151 seconds Iteration: 65 Log-likelihood = -11113.876936 Norm(log-likelihood gradient vector) = 2234.041795 Norm(lambda vector) = 105.068272 Iteration elapsed: 147 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12358 12018 97.25 96.75 97.00 o 20579 20602 20220 98.15 98.26 98.20 i-np 14376 14417 13980 96.97 97.25 97.11 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.45 97.42 97.44 Avg2. 47377 47377 46218 97.55 97.55 97.55 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12358 11689 94.59 94.10 94.34 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.59 94.10 94.34 Avg2. 12422 12358 11689 94.59 94.10 94.34 Current max chunk-based F1: 94.40 (iteration 62) Training iteration elapsed (including testing & evaluation time): 154 seconds Iteration: 66 Log-likelihood = -10937.980447 Norm(log-likelihood gradient vector) = 1056.771612 Norm(lambda vector) = 103.773390 Iteration elapsed: 146 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12371 12024 97.20 96.80 97.00 o 20579 20627 20233 98.09 98.32 98.20 i-np 14376 14379 13959 97.08 97.10 97.09 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.45 97.40 97.43 Avg2. 47377 47377 46216 97.55 97.55 97.55 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12371 11691 94.50 94.12 94.31 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.50 94.12 94.31 Avg2. 12422 12371 11691 94.50 94.12 94.31 Current max chunk-based F1: 94.40 (iteration 62) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 67 Log-likelihood = -10662.415203 Norm(log-likelihood gradient vector) = 630.761724 Norm(lambda vector) = 105.060969 Iteration elapsed: 147 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12387 12033 97.14 96.87 97.01 o 20579 20647 20244 98.05 98.37 98.21 i-np 14376 14343 13942 97.20 96.98 97.09 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.46 97.41 97.44 Avg2. 47377 47377 46219 97.56 97.56 97.56 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12387 11697 94.43 94.16 94.30 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.43 94.16 94.30 Avg2. 12422 12387 11697 94.43 94.16 94.30 Current max chunk-based F1: 94.40 (iteration 62) Training iteration elapsed (including testing & evaluation time): 154 seconds Iteration: 68 Log-likelihood = -10432.842912 Norm(log-likelihood gradient vector) = 600.836588 Norm(lambda vector) = 106.037308 Iteration elapsed: 146 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12398 12046 97.16 96.97 97.07 o 20579 20641 20249 98.10 98.40 98.25 i-np 14376 14338 13946 97.27 97.01 97.14 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.51 97.46 97.48 Avg2. 47377 47377 46241 97.60 97.60 97.60 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12398 11712 94.47 94.28 94.38 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.47 94.28 94.38 Avg2. 12422 12398 11712 94.47 94.28 94.38 Current max chunk-based F1: 94.40 (iteration 62) Training iteration elapsed (including testing & evaluation time): 153 seconds Iteration: 69 Log-likelihood = -10286.704060 Norm(log-likelihood gradient vector) = 854.406248 Norm(lambda vector) = 106.681457 Iteration elapsed: 145 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12358 12037 97.40 96.90 97.15 o 20579 20609 20246 98.24 98.38 98.31 i-np 14376 14410 14001 97.16 97.39 97.28 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.60 97.56 97.58 Avg2. 47377 47377 46284 97.69 97.69 97.69 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12358 11713 94.78 94.29 94.54 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.78 94.29 94.54 Avg2. 12422 12358 11713 94.78 94.29 94.54 Current max chunk-based F1: 94.54 (iteration 69) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 70 Log-likelihood = -10223.317138 Norm(log-likelihood gradient vector) = 1001.563663 Norm(lambda vector) = 108.228691 Iteration elapsed: 145 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12387 12055 97.32 97.05 97.18 o 20579 20640 20263 98.17 98.46 98.32 i-np 14376 14350 13974 97.38 97.20 97.29 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.62 97.57 97.60 Avg2. 47377 47377 46292 97.71 97.71 97.71 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12387 11731 94.70 94.44 94.57 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.70 94.44 94.57 Avg2. 12422 12387 11731 94.70 94.44 94.57 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 151 seconds Iteration: 71 Log-likelihood = -10221.633348 Norm(log-likelihood gradient vector) = 870.863561 Norm(lambda vector) = 107.801749 Iteration elapsed: 145 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12384 12048 97.29 96.99 97.14 o 20579 20632 20254 98.17 98.42 98.29 i-np 14376 14361 13971 97.28 97.18 97.23 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.58 97.53 97.56 Avg2. 47377 47377 46273 97.67 97.67 97.67 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12384 11720 94.64 94.35 94.49 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.64 94.35 94.49 Avg2. 12422 12384 11720 94.64 94.35 94.49 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 72 Log-likelihood = -10174.964709 Norm(log-likelihood gradient vector) = 638.277343 Norm(lambda vector) = 107.762640 Iteration elapsed: 145 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12365 12038 97.36 96.91 97.13 o 20579 20619 20245 98.19 98.38 98.28 i-np 14376 14393 13984 97.16 97.27 97.22 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.57 97.52 97.54 Avg2. 47377 47377 46267 97.66 97.66 97.66 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12365 11705 94.66 94.23 94.44 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.66 94.23 94.44 Avg2. 12422 12365 11705 94.66 94.23 94.44 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 151 seconds Iteration: 73 Log-likelihood = -10115.705699 Norm(log-likelihood gradient vector) = 482.495409 Norm(lambda vector) = 108.004724 Iteration elapsed: 147 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12390 12051 97.26 97.01 97.14 o 20579 20574 20224 98.30 98.27 98.29 i-np 14376 14413 13987 97.04 97.29 97.17 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.54 97.53 97.53 Avg2. 47377 47377 46262 97.65 97.65 97.65 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12390 11710 94.51 94.27 94.39 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.51 94.27 94.39 Avg2. 12422 12390 11710 94.51 94.27 94.39 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 154 seconds Iteration: 74 Log-likelihood = -10012.715166 Norm(log-likelihood gradient vector) = 1623.815597 Norm(lambda vector) = 109.161974 Iteration elapsed: 146 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12370 12038 97.32 96.91 97.11 o 20579 20579 20222 98.27 98.27 98.27 i-np 14376 14428 13988 96.95 97.30 97.13 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.51 97.49 97.50 Avg2. 47377 47377 46248 97.62 97.62 97.62 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12370 11690 94.50 94.11 94.30 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.50 94.11 94.30 Avg2. 12422 12370 11690 94.50 94.11 94.30 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 153 seconds Iteration: 75 Log-likelihood = -9860.964303 Norm(log-likelihood gradient vector) = 580.029687 Norm(lambda vector) = 109.353671 Iteration elapsed: 145 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12367 12036 97.32 96.89 97.11 o 20579 20590 20228 98.24 98.29 98.27 i-np 14376 14420 13985 96.98 97.28 97.13 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.52 97.49 97.50 Avg2. 47377 47377 46249 97.62 97.62 97.62 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12367 11688 94.51 94.09 94.30 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.51 94.09 94.30 Avg2. 12422 12367 11688 94.51 94.09 94.30 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 76 Log-likelihood = -9772.024356 Norm(log-likelihood gradient vector) = 477.857105 Norm(lambda vector) = 109.654698 Iteration elapsed: 147 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12375 12037 97.27 96.90 97.08 o 20579 20609 20234 98.18 98.32 98.25 i-np 14376 14393 13970 97.06 97.18 97.12 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.50 97.47 97.49 Avg2. 47377 47377 46241 97.60 97.60 97.60 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12375 11690 94.46 94.11 94.29 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.46 94.11 94.29 Avg2. 12422 12375 11690 94.46 94.11 94.29 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 153 seconds Iteration: 77 Log-likelihood = -9521.086513 Norm(log-likelihood gradient vector) = 578.463373 Norm(lambda vector) = 110.738219 Iteration elapsed: 145 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12377 12038 97.26 96.91 97.08 o 20579 20631 20240 98.10 98.35 98.23 i-np 14376 14369 13960 97.15 97.11 97.13 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.51 97.46 97.48 Avg2. 47377 47377 46238 97.60 97.60 97.60 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12377 11699 94.52 94.18 94.35 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.52 94.18 94.35 Avg2. 12422 12377 11699 94.52 94.18 94.35 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 78 Log-likelihood = -9095.889179 Norm(log-likelihood gradient vector) = 683.037412 Norm(lambda vector) = 112.277277 Iteration elapsed: 144 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12371 12032 97.26 96.86 97.06 o 20579 20593 20220 98.19 98.26 98.22 i-np 14376 14413 13972 96.94 97.19 97.06 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.46 97.44 97.45 Avg2. 47377 47377 46224 97.57 97.57 97.57 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12371 11689 94.49 94.10 94.29 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.49 94.10 94.29 Avg2. 12422 12371 11689 94.49 94.10 94.29 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 151 seconds Iteration: 79 Log-likelihood = -8274.859870 Norm(log-likelihood gradient vector) = 935.234361 Norm(lambda vector) = 116.267186 Iteration elapsed: 144 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12429 12046 96.92 96.97 96.95 o 20579 20687 20254 97.91 98.42 98.16 i-np 14376 14261 13881 97.34 96.56 96.94 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.39 97.32 97.35 Avg2. 47377 47377 46181 97.48 97.48 97.48 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12429 11701 94.14 94.20 94.17 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.14 94.20 94.17 Avg2. 12422 12429 11701 94.14 94.20 94.17 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 150 seconds Iteration: 80 Log-likelihood = -7967.591035 Norm(log-likelihood gradient vector) = 1319.318191 Norm(lambda vector) = 117.116010 Iteration elapsed: 147 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12380 12027 97.15 96.82 96.98 o 20579 20645 20237 98.02 98.34 98.18 i-np 14376 14352 13932 97.07 96.91 96.99 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.42 97.36 97.39 Avg2. 47377 47377 46196 97.51 97.51 97.51 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12380 11680 94.35 94.03 94.19 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.35 94.03 94.19 Avg2. 12422 12380 11680 94.35 94.03 94.19 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 153 seconds Iteration: 81 Log-likelihood = -7800.539438 Norm(log-likelihood gradient vector) = 610.262687 Norm(lambda vector) = 117.086028 Iteration elapsed: 146 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12363 12017 97.20 96.74 96.97 o 20579 20619 20225 98.09 98.28 98.18 i-np 14376 14395 13952 96.92 97.05 96.99 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.40 97.36 97.38 Avg2. 47377 47377 46194 97.50 97.50 97.50 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12363 11670 94.39 93.95 94.17 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.39 93.95 94.17 Avg2. 12422 12363 11670 94.39 93.95 94.17 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 153 seconds Iteration: 82 Log-likelihood = -7561.996360 Norm(log-likelihood gradient vector) = 473.783676 Norm(lambda vector) = 117.721388 Iteration elapsed: 147 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12361 12024 97.27 96.80 97.03 o 20579 20594 20217 98.17 98.24 98.21 i-np 14376 14422 13972 96.88 97.19 97.03 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.44 97.41 97.42 Avg2. 47377 47377 46213 97.54 97.54 97.54 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12361 11676 94.46 93.99 94.23 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.46 93.99 94.23 Avg2. 12422 12361 11676 94.46 93.99 94.23 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 154 seconds Iteration: 83 Log-likelihood = -7355.642788 Norm(log-likelihood gradient vector) = 547.698970 Norm(lambda vector) = 118.463484 Iteration elapsed: 144 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12363 12028 97.29 96.83 97.06 o 20579 20585 20216 98.21 98.24 98.22 i-np 14376 14429 13980 96.89 97.25 97.07 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.46 97.44 97.45 Avg2. 47377 47377 46224 97.57 97.57 97.57 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12363 11684 94.51 94.06 94.28 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.51 94.06 94.28 Avg2. 12422 12363 11684 94.51 94.06 94.28 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 151 seconds Iteration: 84 Log-likelihood = -6976.420291 Norm(log-likelihood gradient vector) = 537.797890 Norm(lambda vector) = 120.493308 Iteration elapsed: 147 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12442 12066 96.98 97.13 97.06 o 20579 20548 20204 98.33 98.18 98.25 i-np 14376 14387 13965 97.07 97.14 97.10 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.46 97.48 97.47 Avg2. 47377 47377 46235 97.59 97.59 97.59 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12442 11727 94.25 94.41 94.33 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.25 94.41 94.33 Avg2. 12422 12442 11727 94.25 94.41 94.33 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 153 seconds Iteration: 85 Log-likelihood = -6817.206672 Norm(log-likelihood gradient vector) = 2319.693017 Norm(lambda vector) = 125.171310 Iteration elapsed: 145 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12387 12047 97.26 96.98 97.12 o 20579 20582 20222 98.25 98.27 98.26 i-np 14376 14408 13980 97.03 97.25 97.14 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.51 97.50 97.50 Avg2. 47377 47377 46249 97.62 97.62 97.62 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12387 11711 94.54 94.28 94.41 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.54 94.28 94.41 Avg2. 12422 12387 11711 94.54 94.28 94.41 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 86 Log-likelihood = -6769.359147 Norm(log-likelihood gradient vector) = 936.155643 Norm(lambda vector) = 122.207250 Iteration elapsed: 147 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12389 12048 97.25 96.99 97.12 o 20579 20589 20229 98.25 98.30 98.28 i-np 14376 14399 13980 97.09 97.25 97.17 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.53 97.51 97.52 Avg2. 47377 47377 46257 97.64 97.64 97.64 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12389 11714 94.55 94.30 94.43 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.55 94.30 94.43 Avg2. 12422 12389 11714 94.55 94.30 94.43 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 154 seconds Iteration: 87 Log-likelihood = -6463.662127 Norm(log-likelihood gradient vector) = 519.605508 Norm(lambda vector) = 124.754152 Iteration elapsed: 145 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12390 12045 97.22 96.97 97.09 o 20579 20607 20233 98.19 98.32 98.25 i-np 14376 14380 13961 97.09 97.11 97.10 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.50 97.47 97.48 Avg2. 47377 47377 46239 97.60 97.60 97.60 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12390 11703 94.46 94.21 94.33 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.46 94.21 94.33 Avg2. 12422 12390 11703 94.46 94.21 94.33 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 151 seconds Iteration: 88 Log-likelihood = -6305.899100 Norm(log-likelihood gradient vector) = 398.037995 Norm(lambda vector) = 126.836143 Iteration elapsed: 144 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12381 12048 97.31 96.99 97.15 o 20579 20607 20238 98.21 98.34 98.28 i-np 14376 14389 13968 97.07 97.16 97.12 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.53 97.50 97.51 Avg2. 47377 47377 46254 97.63 97.63 97.63 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12381 11707 94.56 94.24 94.40 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.56 94.24 94.40 Avg2. 12422 12381 11707 94.56 94.24 94.40 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 150 seconds Iteration: 89 Log-likelihood = -6201.531491 Norm(log-likelihood gradient vector) = 651.686403 Norm(lambda vector) = 128.919939 Iteration elapsed: 146 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12370 12041 97.34 96.93 97.14 o 20579 20626 20249 98.17 98.40 98.28 i-np 14376 14381 13969 97.14 97.17 97.15 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.55 97.50 97.52 Avg2. 47377 47377 46259 97.64 97.64 97.64 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12370 11708 94.65 94.25 94.45 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.65 94.25 94.45 Avg2. 12422 12370 11708 94.65 94.25 94.45 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 153 seconds Iteration: 90 Log-likelihood = -6087.073537 Norm(log-likelihood gradient vector) = 440.799020 Norm(lambda vector) = 130.559747 Iteration elapsed: 145 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12364 12036 97.35 96.89 97.12 o 20579 20618 20244 98.19 98.37 98.28 i-np 14376 14395 13973 97.07 97.20 97.13 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.53 97.49 97.51 Avg2. 47377 47377 46253 97.63 97.63 97.63 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12364 11700 94.63 94.19 94.41 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.63 94.19 94.41 Avg2. 12422 12364 11700 94.63 94.19 94.41 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 91 Log-likelihood = -6007.812001 Norm(log-likelihood gradient vector) = 347.435595 Norm(lambda vector) = 130.843464 Iteration elapsed: 146 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12388 12049 97.26 97.00 97.13 o 20579 20634 20250 98.14 98.40 98.27 i-np 14376 14355 13952 97.19 97.05 97.12 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.53 97.48 97.51 Avg2. 47377 47377 46251 97.62 97.62 97.62 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12388 11711 94.54 94.28 94.41 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.54 94.28 94.41 Avg2. 12422 12388 11711 94.54 94.28 94.41 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 153 seconds Iteration: 92 Log-likelihood = -5847.179704 Norm(log-likelihood gradient vector) = 411.270863 Norm(lambda vector) = 131.887474 Iteration elapsed: 145 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12310 11999 97.47 96.59 97.03 o 20579 20525 20185 98.34 98.09 98.21 i-np 14376 14542 14029 96.47 97.59 97.03 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.43 97.42 97.43 Avg2. 47377 47377 46213 97.54 97.54 97.54 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12310 11646 94.61 93.75 94.18 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.61 93.75 94.18 Avg2. 12422 12310 11646 94.61 93.75 94.18 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 93 Log-likelihood = -5675.564044 Norm(log-likelihood gradient vector) = 1640.787313 Norm(lambda vector) = 136.178755 Iteration elapsed: 145 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12354 12030 97.38 96.84 97.11 o 20579 20585 20221 98.23 98.26 98.25 i-np 14376 14438 13984 96.86 97.27 97.06 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.49 97.46 97.47 Avg2. 47377 47377 46235 97.59 97.59 97.59 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12354 11678 94.53 94.01 94.27 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.53 94.01 94.27 Avg2. 12422 12354 11678 94.53 94.01 94.27 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 94 Log-likelihood = -5700.920588 Norm(log-likelihood gradient vector) = 559.962543 Norm(lambda vector) = 133.577454 Iteration elapsed: 146 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12366 12037 97.34 96.90 97.12 o 20579 20593 20226 98.22 98.28 98.25 i-np 14376 14418 13979 96.96 97.24 97.10 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.50 97.47 97.49 Avg2. 47377 47377 46242 97.60 97.60 97.60 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12366 11689 94.53 94.10 94.31 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.53 94.10 94.31 Avg2. 12422 12366 11689 94.53 94.10 94.31 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 153 seconds Iteration: 95 Log-likelihood = -5556.546817 Norm(log-likelihood gradient vector) = 467.838220 Norm(lambda vector) = 135.049504 Iteration elapsed: 147 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12387 12041 97.21 96.93 97.07 o 20579 20621 20242 98.16 98.36 98.26 i-np 14376 14369 13960 97.15 97.11 97.13 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.51 97.47 97.49 Avg2. 47377 47377 46243 97.61 97.61 97.61 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12387 11707 94.51 94.24 94.38 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.51 94.24 94.38 Avg2. 12422 12387 11707 94.51 94.24 94.38 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 153 seconds Iteration: 96 Log-likelihood = -5119.463301 Norm(log-likelihood gradient vector) = 307.593666 Norm(lambda vector) = 139.294072 Iteration elapsed: 145 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12406 12055 97.17 97.05 97.11 o 20579 20607 20239 98.21 98.35 98.28 i-np 14376 14364 13956 97.16 97.08 97.12 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.51 97.49 97.50 Avg2. 47377 47377 46250 97.62 97.62 97.62 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12406 11723 94.49 94.37 94.43 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.49 94.37 94.43 Avg2. 12422 12406 11723 94.49 94.37 94.43 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 97 Log-likelihood = -4853.770820 Norm(log-likelihood gradient vector) = 485.070420 Norm(lambda vector) = 141.765998 Iteration elapsed: 147 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12391 12044 97.20 96.96 97.08 o 20579 20623 20243 98.16 98.37 98.26 i-np 14376 14363 13953 97.15 97.06 97.10 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.50 97.46 97.48 Avg2. 47377 47377 46240 97.60 97.60 97.60 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12391 11709 94.50 94.26 94.38 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.50 94.26 94.38 Avg2. 12422 12391 11709 94.50 94.26 94.38 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 154 seconds Iteration: 98 Log-likelihood = -4687.744777 Norm(log-likelihood gradient vector) = 322.040920 Norm(lambda vector) = 142.862345 Iteration elapsed: 147 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12369 12027 97.24 96.82 97.03 o 20579 20642 20243 98.07 98.37 98.22 i-np 14376 14366 13948 97.09 97.02 97.06 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.46 97.40 97.43 Avg2. 47377 47377 46218 97.55 97.55 97.55 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12369 11683 94.45 94.05 94.25 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.45 94.05 94.25 Avg2. 12422 12369 11683 94.45 94.05 94.25 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 154 seconds Iteration: 99 Log-likelihood = -4573.081367 Norm(log-likelihood gradient vector) = 313.611437 Norm(lambda vector) = 143.153624 Iteration elapsed: 146 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12366 12022 97.22 96.78 97.00 o 20579 20623 20234 98.11 98.32 98.22 i-np 14376 14388 13955 96.99 97.07 97.03 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.44 97.39 97.42 Avg2. 47377 47377 46211 97.54 97.54 97.54 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12366 11677 94.43 94.00 94.21 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.43 94.00 94.21 Avg2. 12422 12366 11677 94.43 94.00 94.21 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 100 Log-likelihood = -4468.733427 Norm(log-likelihood gradient vector) = 518.721252 Norm(lambda vector) = 143.405350 Iteration elapsed: 147 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12364 12024 97.25 96.80 97.02 o 20579 20633 20239 98.09 98.35 98.22 i-np 14376 14380 13953 97.03 97.06 97.04 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.46 97.40 97.43 Avg2. 47377 47377 46216 97.55 97.55 97.55 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12364 11682 94.48 94.04 94.26 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.48 94.04 94.26 Avg2. 12422 12364 11682 94.48 94.04 94.26 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 154 seconds Iteration: 101 Log-likelihood = -4396.101873 Norm(log-likelihood gradient vector) = 335.346277 Norm(lambda vector) = 144.048504 Iteration elapsed: 145 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12372 12024 97.19 96.80 96.99 o 20579 20636 20235 98.06 98.33 98.19 i-np 14376 14369 13943 97.04 96.99 97.01 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.43 97.37 97.40 Avg2. 47377 47377 46202 97.52 97.52 97.52 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12372 11679 94.40 94.02 94.21 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.40 94.02 94.21 Avg2. 12422 12372 11679 94.40 94.02 94.21 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 102 Log-likelihood = -4293.580644 Norm(log-likelihood gradient vector) = 298.175486 Norm(lambda vector) = 145.428258 Iteration elapsed: 147 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12385 12028 97.12 96.83 96.97 o 20579 20632 20232 98.06 98.31 98.19 i-np 14376 14360 13935 97.04 96.93 96.99 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.41 97.36 97.38 Avg2. 47377 47377 46195 97.51 97.51 97.51 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12385 11683 94.33 94.05 94.19 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.33 94.05 94.19 Avg2. 12422 12385 11683 94.33 94.05 94.19 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 154 seconds Iteration: 103 Log-likelihood = -4165.301237 Norm(log-likelihood gradient vector) = 269.035500 Norm(lambda vector) = 147.164687 Iteration elapsed: 144 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12423 12046 96.97 96.97 96.97 o 20579 20668 20248 97.97 98.39 98.18 i-np 14376 14286 13897 97.28 96.67 96.97 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.40 97.34 97.37 Avg2. 47377 47377 46191 97.50 97.50 97.50 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12423 11697 94.16 94.16 94.16 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.16 94.16 94.16 Avg2. 12422 12423 11697 94.16 94.16 94.16 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 150 seconds Iteration: 104 Log-likelihood = -4129.631525 Norm(log-likelihood gradient vector) = 716.352996 Norm(lambda vector) = 148.566969 Iteration elapsed: 145 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12397 12037 97.10 96.90 97.00 o 20579 20623 20230 98.09 98.30 98.20 i-np 14376 14357 13936 97.07 96.94 97.00 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.42 97.38 97.40 Avg2. 47377 47377 46203 97.52 97.52 97.52 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12397 11687 94.27 94.08 94.18 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.27 94.08 94.18 Avg2. 12422 12397 11687 94.27 94.08 94.18 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 105 Log-likelihood = -4090.184425 Norm(log-likelihood gradient vector) = 302.200224 Norm(lambda vector) = 149.318838 Iteration elapsed: 145 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12390 12037 97.15 96.90 97.03 o 20579 20612 20226 98.13 98.28 98.21 i-np 14376 14375 13947 97.02 97.02 97.02 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.43 97.40 97.42 Avg2. 47377 47377 46210 97.54 97.54 97.54 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12390 11690 94.35 94.11 94.23 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.35 94.11 94.23 Avg2. 12422 12390 11690 94.35 94.11 94.23 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 106 Log-likelihood = -4124.864030 Norm(log-likelihood gradient vector) = 232.130696 Norm(lambda vector) = 148.891779 Iteration elapsed: 146 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12397 12038 97.10 96.91 97.01 o 20579 20623 20231 98.10 98.31 98.20 i-np 14376 14357 13937 97.07 96.95 97.01 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.43 97.39 97.41 Avg2. 47377 47377 46206 97.53 97.53 97.53 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12397 11689 94.29 94.10 94.19 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.29 94.10 94.19 Avg2. 12422 12397 11689 94.29 94.10 94.19 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 107 Log-likelihood = -4093.309282 Norm(log-likelihood gradient vector) = 287.219790 Norm(lambda vector) = 149.263861 Iteration elapsed: 145 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12397 12037 97.10 96.90 97.00 o 20579 20623 20230 98.09 98.30 98.20 i-np 14376 14357 13936 97.07 96.94 97.00 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.42 97.38 97.40 Avg2. 47377 47377 46203 97.52 97.52 97.52 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12397 11687 94.27 94.08 94.18 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.27 94.08 94.18 Avg2. 12422 12397 11687 94.27 94.08 94.18 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 108 Log-likelihood = -4090.585937 Norm(log-likelihood gradient vector) = 300.090263 Norm(lambda vector) = 149.311365 Iteration elapsed: 147 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12397 12037 97.10 96.90 97.00 o 20579 20623 20230 98.09 98.30 98.20 i-np 14376 14357 13936 97.07 96.94 97.00 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.42 97.38 97.40 Avg2. 47377 47377 46203 97.52 97.52 97.52 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12397 11687 94.27 94.08 94.18 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.27 94.08 94.18 Avg2. 12422 12397 11687 94.27 94.08 94.18 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 153 seconds Iteration: 109 Log-likelihood = -4090.238970 Norm(log-likelihood gradient vector) = 301.910009 Norm(lambda vector) = 149.317815 Iteration elapsed: 146 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12397 12037 97.10 96.90 97.00 o 20579 20623 20230 98.09 98.30 98.20 i-np 14376 14357 13936 97.07 96.94 97.00 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.42 97.38 97.40 Avg2. 47377 47377 46203 97.52 97.52 97.52 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12397 11687 94.27 94.08 94.18 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.27 94.08 94.18 Avg2. 12422 12397 11687 94.27 94.08 94.18 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 110 Log-likelihood = -4090.191893 Norm(log-likelihood gradient vector) = 302.160422 Norm(lambda vector) = 149.318698 Iteration elapsed: 145 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12397 12037 97.10 96.90 97.00 o 20579 20623 20230 98.09 98.30 98.20 i-np 14376 14357 13936 97.07 96.94 97.00 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.42 97.38 97.40 Avg2. 47377 47377 46203 97.52 97.52 97.52 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12397 11687 94.27 94.08 94.18 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.27 94.08 94.18 Avg2. 12422 12397 11687 94.27 94.08 94.18 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 111 Log-likelihood = -4090.185448 Norm(log-likelihood gradient vector) = 302.194768 Norm(lambda vector) = 149.318819 Iteration elapsed: 146 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12397 12037 97.10 96.90 97.00 o 20579 20623 20230 98.09 98.30 98.20 i-np 14376 14357 13936 97.07 96.94 97.00 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.42 97.38 97.40 Avg2. 47377 47377 46203 97.52 97.52 97.52 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12397 11687 94.27 94.08 94.18 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.27 94.08 94.18 Avg2. 12422 12397 11687 94.27 94.08 94.18 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 153 seconds Iteration: 112 Log-likelihood = -4090.184565 Norm(log-likelihood gradient vector) = 302.199476 Norm(lambda vector) = 149.318836 Iteration elapsed: 145 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12397 12037 97.10 96.90 97.00 o 20579 20623 20230 98.09 98.30 98.20 i-np 14376 14357 13936 97.07 96.94 97.00 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.42 97.38 97.40 Avg2. 47377 47377 46203 97.52 97.52 97.52 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12397 11687 94.27 94.08 94.18 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.27 94.08 94.18 Avg2. 12422 12397 11687 94.27 94.08 94.18 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 151 seconds Iteration: 113 Log-likelihood = -4090.184444 Norm(log-likelihood gradient vector) = 302.200122 Norm(lambda vector) = 149.318838 Iteration elapsed: 144 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12397 12037 97.10 96.90 97.00 o 20579 20623 20230 98.09 98.30 98.20 i-np 14376 14357 13936 97.07 96.94 97.00 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.42 97.38 97.40 Avg2. 47377 47377 46203 97.52 97.52 97.52 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12397 11687 94.27 94.08 94.18 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.27 94.08 94.18 Avg2. 12422 12397 11687 94.27 94.08 94.18 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 150 seconds Iteration: 114 Log-likelihood = -4090.184428 Norm(log-likelihood gradient vector) = 302.200210 Norm(lambda vector) = 149.318838 Iteration elapsed: 147 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12397 12037 97.10 96.90 97.00 o 20579 20623 20230 98.09 98.30 98.20 i-np 14376 14357 13936 97.07 96.94 97.00 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.42 97.38 97.40 Avg2. 47377 47377 46203 97.52 97.52 97.52 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12397 11687 94.27 94.08 94.18 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.27 94.08 94.18 Avg2. 12422 12397 11687 94.27 94.08 94.18 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 154 seconds Iteration: 115 Log-likelihood = -4090.184425 Norm(log-likelihood gradient vector) = 302.200222 Norm(lambda vector) = 149.318838 Iteration elapsed: 145 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12397 12037 97.10 96.90 97.00 o 20579 20623 20230 98.09 98.30 98.20 i-np 14376 14357 13936 97.07 96.94 97.00 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.42 97.38 97.40 Avg2. 47377 47377 46203 97.52 97.52 97.52 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12397 11687 94.27 94.08 94.18 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.27 94.08 94.18 Avg2. 12422 12397 11687 94.27 94.08 94.18 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 116 Log-likelihood = -4090.184425 Norm(log-likelihood gradient vector) = 302.200224 Norm(lambda vector) = 149.318838 Iteration elapsed: 146 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12397 12037 97.10 96.90 97.00 o 20579 20623 20230 98.09 98.30 98.20 i-np 14376 14357 13936 97.07 96.94 97.00 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.42 97.38 97.40 Avg2. 47377 47377 46203 97.52 97.52 97.52 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12397 11687 94.27 94.08 94.18 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.27 94.08 94.18 Avg2. 12422 12397 11687 94.27 94.08 94.18 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 153 seconds Iteration: 117 Log-likelihood = -4090.184425 Norm(log-likelihood gradient vector) = 302.200224 Norm(lambda vector) = 149.318838 Iteration elapsed: 145 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12397 12037 97.10 96.90 97.00 o 20579 20623 20230 98.09 98.30 98.20 i-np 14376 14357 13936 97.07 96.94 97.00 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.42 97.38 97.40 Avg2. 47377 47377 46203 97.52 97.52 97.52 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12397 11687 94.27 94.08 94.18 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.27 94.08 94.18 Avg2. 12422 12397 11687 94.27 94.08 94.18 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 118 Log-likelihood = -4090.184425 Norm(log-likelihood gradient vector) = 302.200224 Norm(lambda vector) = 149.318838 Iteration elapsed: 146 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12397 12037 97.10 96.90 97.00 o 20579 20623 20230 98.09 98.30 98.20 i-np 14376 14357 13936 97.07 96.94 97.00 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.42 97.38 97.40 Avg2. 47377 47377 46203 97.52 97.52 97.52 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12397 11687 94.27 94.08 94.18 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.27 94.08 94.18 Avg2. 12422 12397 11687 94.27 94.08 94.18 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 152 seconds Iteration: 119 Log-likelihood = -4090.184425 Norm(log-likelihood gradient vector) = 302.200224 Norm(lambda vector) = 149.318838 Iteration elapsed: 147 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12397 12037 97.10 96.90 97.00 o 20579 20623 20230 98.09 98.30 98.20 i-np 14376 14357 13936 97.07 96.94 97.00 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.42 97.38 97.40 Avg2. 47377 47377 46203 97.52 97.52 97.52 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12397 11687 94.27 94.08 94.18 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.27 94.08 94.18 Avg2. 12422 12397 11687 94.27 94.08 94.18 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 154 seconds Iteration: 120 Log-likelihood = -4090.184425 Norm(log-likelihood gradient vector) = 302.200224 Norm(lambda vector) = 149.318838 Iteration elapsed: 145 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12397 12037 97.10 96.90 97.00 o 20579 20623 20230 98.09 98.30 98.20 i-np 14376 14357 13936 97.07 96.94 97.00 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.42 97.38 97.40 Avg2. 47377 47377 46203 97.52 97.52 97.52 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12397 11687 94.27 94.08 94.18 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.27 94.08 94.18 Avg2. 12422 12397 11687 94.27 94.08 94.18 Current max chunk-based F1: 94.57 (iteration 70) Training iteration elapsed (including testing & evaluation time): 152 seconds The training process elapsed: 18402 seconds Label-based performance evaluation: Label Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- b-np 12422 12387 12055 97.32 97.05 97.18 o 20579 20640 20263 98.17 98.46 98.32 i-np 14376 14350 13974 97.38 97.20 97.29 ----- ------ ----- ----- ------- ------- ------------- Avg1. 97.62 97.57 97.60 Avg2. 47377 47377 46292 97.71 97.71 97.71 Chunk-based performance evaluation: Chunk Manual Model Match Pre.(%) Rec.(%) F1-Measure(%) ----- ------ ----- ----- ------- ------- ------------- np 12422 12387 11731 94.70 94.44 94.57 ----- ------ ----- ----- ------- ------- ------------- Avg1. 94.70 94.44 94.57 Avg2. 12422 12387 11731 94.70 94.44 94.57