 | Run 7393 |
| Creator | rainarch |
| Program | crfpp |
| Dataset | chunking-conll2000 |
| Task type | SequenceTagging |
| Created | 1y122d ago |
| Download | Login required! |
Done! 
| 1h34m | |
| 894M | |
| SequenceTagging | |
| 0.999 | |
| 0.998 | |
| 0.961 | |
| 0.938 | |
Log file
===== MAIN: learn based on training data ===== === START program1: ./run learn ../dataset2/train CRF++: Yet Another CRF Tool Kit Copyright (C) 2005-2009 Taku Kudo, All rights reserved. reading training data: 100.. 200.. 300.. 400.. 500.. 600.. 700.. 800.. 900.. 1000.. 1100.. 1200.. 1300.. 1400.. 1500.. 1600.. 1700.. 1800.. 1900.. 2000.. 2100.. 2200.. 2300.. 2400.. 2500.. 2600.. 2700.. 2800.. 2900.. 3000.. 3100.. 3200.. 3300.. 3400.. 3500.. 3600.. 3700.. 3800.. 3900.. 4000.. 4100.. 4200.. 4300.. 4400.. 4500.. 4600.. 4700.. 4800.. 4900.. 5000.. 5100.. 5200.. 5300.. 5400.. 5500.. 5600.. 5700.. 5800.. 5900.. 6000.. 6100.. 6200.. 6300.. 6400.. 6500.. 6600.. 6700.. 6800.. 6900.. 7000.. 7100.. 7200.. 7300.. 7400.. 7500.. 7600.. 7700.. 7800.. 7900.. 8000.. 8100.. 8200.. 8300.. 8400.. 8500.. 8600.. 8700.. 8800.. 8900.. Done!7.24 s Number of sentences: 8936 Number of features: 7448606 Number of thread(s): 1 Freq: 1 eta: 0.00010 C: 1.00000 shrinking size: 20 iter=0 terr=0.99027 serr=1.00000 act=7448606 obj=654457.14552 diff=1.00000 iter=1 terr=0.38081 serr=0.99127 act=7448606 obj=550670.59421 diff=0.15858 iter=2 terr=0.38081 serr=0.99127 act=7448606 obj=261275.15376 diff=0.52553 iter=3 terr=0.25763 serr=0.95669 act=7448606 obj=159867.17219 diff=0.38813 iter=4 terr=0.16532 serr=0.89526 act=7448606 obj=109161.89499 diff=0.31717 iter=5 terr=0.12957 serr=0.81513 act=7448606 obj=88458.80631 diff=0.18965 iter=6 terr=0.10383 serr=0.73735 act=7448606 obj=66671.22851 diff=0.24630 iter=7 terr=0.09259 serr=0.70893 act=7448606 obj=60644.10870 diff=0.09040 iter=8 terr=0.07953 serr=0.64962 act=7448606 obj=52307.78229 diff=0.13746 iter=9 terr=0.07457 serr=0.63664 act=7448606 obj=49225.58420 diff=0.05892 iter=10 terr=0.07201 serr=0.62321 act=7448606 obj=46375.06634 diff=0.05791 iter=11 terr=0.06502 serr=0.57979 act=7448606 obj=39970.69511 diff=0.13810 iter=12 terr=0.06179 serr=0.55137 act=7448606 obj=36310.97962 diff=0.09156 iter=13 terr=0.05547 serr=0.52037 act=7448606 obj=32809.77805 diff=0.09642 iter=14 terr=0.05326 serr=0.50750 act=7448606 obj=31000.10366 diff=0.05516 iter=15 terr=0.05078 serr=0.49799 act=7448606 obj=28339.47830 diff=0.08583 iter=16 terr=0.05193 serr=0.50459 act=7448606 obj=27491.11059 diff=0.02994 iter=17 terr=0.04536 serr=0.45871 act=7448606 obj=25194.39255 diff=0.08354 iter=18 terr=0.04431 serr=0.45143 act=7448606 obj=24484.20973 diff=0.02819 iter=19 terr=0.04383 serr=0.45065 act=7448606 obj=23482.51886 diff=0.04091 iter=20 terr=0.04211 serr=0.43498 act=7448606 obj=22521.68134 diff=0.04092 iter=21 terr=0.04027 serr=0.42278 act=7448606 obj=21851.80511 diff=0.02974 iter=22 terr=0.03769 serr=0.40432 act=7448606 obj=20811.92992 diff=0.04759 iter=23 terr=0.03610 serr=0.39279 act=7448606 obj=20066.45849 diff=0.03582 iter=24 terr=0.03308 serr=0.37030 act=7448606 obj=18730.96051 diff=0.06655 iter=25 terr=0.03115 serr=0.35542 act=7448606 obj=17807.86736 diff=0.04928 iter=26 terr=0.03036 serr=0.35027 act=7448606 obj=17264.10952 diff=0.03053 iter=27 terr=0.02970 serr=0.34423 act=7448606 obj=16825.50465 diff=0.02541 iter=28 terr=0.02690 serr=0.32140 act=7448606 obj=15745.34776 diff=0.06420 iter=29 terr=0.02422 serr=0.29823 act=7448606 obj=14985.79845 diff=0.04824 iter=30 terr=0.02301 serr=0.28715 act=7448606 obj=14338.59093 diff=0.04319 iter=31 terr=0.02147 serr=0.27361 act=7448606 obj=13791.06742 diff=0.03819 iter=32 terr=0.02135 serr=0.26891 act=7448606 obj=13368.32401 diff=0.03065 iter=33 terr=0.01922 serr=0.25615 act=7448606 obj=12931.26598 diff=0.03269 iter=34 terr=0.01890 serr=0.25436 act=7448606 obj=12782.62200 diff=0.01149 iter=35 terr=0.01717 serr=0.23545 act=7448606 obj=12247.99287 diff=0.04182 iter=36 terr=0.01589 serr=0.22314 act=7448606 obj=11860.07324 diff=0.03167 iter=37 terr=0.01441 serr=0.20647 act=7448606 obj=11450.76863 diff=0.03451 iter=38 terr=0.01293 serr=0.19237 act=7448606 obj=11140.56648 diff=0.02709 iter=39 terr=0.01085 serr=0.17066 act=7448606 obj=10800.77817 diff=0.03050 iter=40 terr=0.01219 serr=0.17883 act=7448606 obj=10868.21329 diff=0.00624 iter=41 terr=0.01082 serr=0.17021 act=7448606 obj=10657.63688 diff=0.01938 iter=42 terr=0.00997 serr=0.16092 act=7448606 obj=10501.23171 diff=0.01468 iter=43 terr=0.00925 serr=0.15231 act=7448606 obj=10314.63151 diff=0.01777 iter=44 terr=0.00883 serr=0.14581 act=7448606 obj=10160.22970 diff=0.01497 iter=45 terr=0.00836 serr=0.14044 act=7448606 obj=9914.32015 diff=0.02420 iter=46 terr=0.00758 serr=0.12825 act=7448606 obj=10007.12650 diff=0.00936 iter=47 terr=0.00745 serr=0.12444 act=7448606 obj=9747.72091 diff=0.02592 iter=48 terr=0.00693 serr=0.11851 act=7448606 obj=9556.62287 diff=0.01960 iter=49 terr=0.00661 serr=0.11303 act=7448606 obj=9456.84804 diff=0.01044 iter=50 terr=0.00633 serr=0.11045 act=7448606 obj=9374.80439 diff=0.00868 iter=51 terr=0.00615 serr=0.10743 act=7448606 obj=9329.37172 diff=0.00485 iter=52 terr=0.00558 serr=0.10060 act=7448606 obj=9202.85769 diff=0.01356 iter=53 terr=0.00510 serr=0.09333 act=7448606 obj=9103.26867 diff=0.01082 iter=54 terr=0.00411 serr=0.07733 act=7448606 obj=8908.13594 diff=0.02144 iter=55 terr=0.00449 serr=0.08583 act=7448606 obj=9098.06854 diff=0.02132 iter=56 terr=0.00390 serr=0.07531 act=7448606 obj=8837.26879 diff=0.02867 iter=57 terr=0.00359 serr=0.07028 act=7448606 obj=8759.29284 diff=0.00882 iter=58 terr=0.00340 serr=0.06558 act=7448606 obj=8696.91710 diff=0.00712 iter=59 terr=0.00342 serr=0.06547 act=7448606 obj=8655.62795 diff=0.00475 iter=60 terr=0.00337 serr=0.06435 act=7448606 obj=8626.69496 diff=0.00334 iter=61 terr=0.00327 serr=0.06256 act=7448606 obj=8570.85342 diff=0.00647 iter=62 terr=0.00311 serr=0.05931 act=7448606 obj=8536.77526 diff=0.00398 iter=63 terr=0.00281 serr=0.05495 act=7448606 obj=8458.49756 diff=0.00917 iter=64 terr=0.00237 serr=0.04678 act=7448606 obj=8457.62305 diff=0.00010 iter=65 terr=0.00252 serr=0.04924 act=7448606 obj=8412.90734 diff=0.00529 iter=66 terr=0.00221 serr=0.04510 act=7448606 obj=8349.57617 diff=0.00753 iter=67 terr=0.00184 serr=0.03771 act=7448606 obj=8304.57444 diff=0.00539 iter=68 terr=0.00186 serr=0.03760 act=7448606 obj=8293.25462 diff=0.00136 iter=69 terr=0.00181 serr=0.03715 act=7448606 obj=8263.78191 diff=0.00355 iter=70 terr=0.00179 serr=0.03671 act=7448606 obj=8253.64826 diff=0.00123 iter=71 terr=0.00174 serr=0.03491 act=7448606 obj=8230.23352 diff=0.00284 iter=72 terr=0.00168 serr=0.03380 act=7448606 obj=8207.45547 diff=0.00277 iter=73 terr=0.00179 serr=0.03592 act=7448606 obj=8176.54375 diff=0.00377 iter=74 terr=0.00152 serr=0.03089 act=7448606 obj=8134.21399 diff=0.00518 iter=75 terr=0.00138 serr=0.02831 act=7448606 obj=8103.02751 diff=0.00383 iter=76 terr=0.00121 serr=0.02507 act=7448606 obj=8080.26567 diff=0.00281 iter=77 terr=0.00107 serr=0.02205 act=7448606 obj=8054.51332 diff=0.00319 iter=78 terr=0.00112 serr=0.02316 act=7448606 obj=8043.77120 diff=0.00133 iter=79 terr=0.00112 serr=0.02316 act=7448606 obj=8026.55398 diff=0.00214 iter=80 terr=0.00106 serr=0.02160 act=7448606 obj=8008.69996 diff=0.00222 iter=81 terr=0.00110 serr=0.02227 act=7448606 obj=7996.25785 diff=0.00155 iter=82 terr=0.00099 serr=0.01992 act=7448606 obj=7972.26829 diff=0.00300 iter=83 terr=0.00089 serr=0.01802 act=7448606 obj=7957.23659 diff=0.00189 iter=84 terr=0.00083 serr=0.01679 act=7448606 obj=7943.86246 diff=0.00168 iter=85 terr=0.00079 serr=0.01600 act=7448606 obj=7921.00993 diff=0.00288 iter=86 terr=0.00071 serr=0.01332 act=7448606 obj=7948.15211 diff=0.00343 iter=87 terr=0.00072 serr=0.01444 act=7448606 obj=7909.71561 diff=0.00484 iter=88 terr=0.00068 serr=0.01343 act=7448606 obj=7896.04329 diff=0.00173 iter=89 terr=0.00072 serr=0.01410 act=7448606 obj=7885.51333 diff=0.00133 iter=90 terr=0.00073 serr=0.01421 act=7448606 obj=7875.21429 diff=0.00131 iter=91 terr=0.00072 serr=0.01421 act=7448606 obj=7857.94141 diff=0.00219 iter=92 terr=0.00072 serr=0.01410 act=7448606 obj=7842.21973 diff=0.00200 iter=93 terr=0.00084 serr=0.01634 act=7448606 obj=7827.32852 diff=0.00190 iter=94 terr=0.00081 serr=0.01611 act=7448606 obj=7819.80751 diff=0.00096 iter=95 terr=0.00080 serr=0.01589 act=7448606 obj=7812.69089 diff=0.00091 iter=96 terr=0.00081 serr=0.01623 act=7448606 obj=7808.21670 diff=0.00057 iter=97 terr=0.00078 serr=0.01544 act=7448606 obj=7795.53037 diff=0.00162 iter=98 terr=0.00089 serr=0.01802 act=7448606 obj=7784.50516 diff=0.00141 iter=99 terr=0.00090 serr=0.01813 act=7448606 obj=7774.22432 diff=0.00132 iter=100 terr=0.00096 serr=0.01925 act=7448606 obj=7766.82804 diff=0.00095 iter=101 terr=0.00098 serr=0.01947 act=7448606 obj=7763.68624 diff=0.00040 iter=102 terr=0.00096 serr=0.01902 act=7448606 obj=7758.78752 diff=0.00063 iter=103 terr=0.00098 serr=0.01936 act=7448606 obj=7756.87976 diff=0.00025 iter=104 terr=0.00094 serr=0.01858 act=7448606 obj=7754.95363 diff=0.00025 iter=105 terr=0.00094 serr=0.01869 act=7448606 obj=7750.49969 diff=0.00057 iter=106 terr=0.00094 serr=0.01869 act=7448606 obj=7745.40934 diff=0.00066 iter=107 terr=0.00109 serr=0.02126 act=7448606 obj=7741.23467 diff=0.00054 iter=108 terr=0.00105 serr=0.02070 act=7448606 obj=7737.25188 diff=0.00051 iter=109 terr=0.00103 serr=0.02037 act=7448606 obj=7735.04878 diff=0.00028 iter=110 terr=0.00103 serr=0.02037 act=7448606 obj=7733.66260 diff=0.00018 iter=111 terr=0.00105 serr=0.02048 act=7448606 obj=7732.35694 diff=0.00017 iter=112 terr=0.00106 serr=0.02081 act=7448606 obj=7730.49041 diff=0.00024 iter=113 terr=0.00109 serr=0.02126 act=7448606 obj=7728.97096 diff=0.00020 iter=114 terr=0.00108 serr=0.02126 act=7448606 obj=7726.09418 diff=0.00037 iter=115 terr=0.00111 serr=0.02171 act=7448606 obj=7726.50986 diff=0.00005 iter=116 terr=0.00110 serr=0.02171 act=7448606 obj=7725.18296 diff=0.00017 iter=117 terr=0.00112 serr=0.02193 act=7448606 obj=7724.62720 diff=0.00007 iter=118 terr=0.00112 serr=0.02205 act=7448606 obj=7723.77267 diff=0.00011 iter=119 terr=0.00111 serr=0.02193 act=7448606 obj=7722.77366 diff=0.00013 iter=120 terr=0.00105 serr=0.02070 act=7448606 obj=7721.63954 diff=0.00015 iter=121 terr=0.00103 serr=0.02037 act=7448606 obj=7720.65253 diff=0.00013 iter=122 terr=0.00104 serr=0.02059 act=7448606 obj=7719.53424 diff=0.00014 iter=123 terr=0.00102 serr=0.02048 act=7448606 obj=7720.68523 diff=0.00015 iter=124 terr=0.00103 serr=0.02037 act=7448606 obj=7718.96076 diff=0.00022 iter=125 terr=0.00103 serr=0.02048 act=7448606 obj=7717.98968 diff=0.00013 iter=126 terr=0.00102 serr=0.02037 act=7448606 obj=7716.94101 diff=0.00014 iter=127 terr=0.00101 serr=0.02026 act=7448606 obj=7716.33135 diff=0.00008 iter=128 terr=0.00100 serr=0.02014 act=7448606 obj=7716.09428 diff=0.00003 iter=129 terr=0.00100 serr=0.02003 act=7448606 obj=7715.36239 diff=0.00009 Done!1328.39 s === END program1: ./run learn ../dataset2/train --- OK [5643s] ===== MAIN: predict/evaluate on train data ===== === START program3: ./run stripLabels ../dataset2/train ../program0/evalTrain.in === END program3: ./run stripLabels ../dataset2/train ../program0/evalTrain.in --- OK [1s] === START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out === END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [9s] === START program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out === END program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out --- OK [9s] ===== MAIN: predict/evaluate on test data ===== === START program3: ./run stripLabels ../dataset2/test ../program0/evalTest.in === END program3: ./run stripLabels ../dataset2/test ../program0/evalTest.in --- OK [0s] === START program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out === END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [2s] === START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out === END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [2s] real 94m26.356s user 94m13.045s sys 0m1.712s
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