 | Run 7364 |
| Creator | favre |
| Program | crfpp |
| Dataset | srl-media1-fra |
| Task type | SequenceTagging |
| Created | 1y122d ago |
Done! 
| 1d5h | |
| 1402M | |
| SequenceTagging | |
| 0.994 | |
| 0.991 | |
| 0.876 | |
| 0.853 | |
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.. 9000.. 9100.. 9200.. 9300.. 9400.. 9500.. 9600.. 9700.. 9800.. 9900.. 10000.. 10100.. 10200.. 10300.. 10400.. 10500.. 10600.. 10700.. 10800.. 10900.. 11000.. 11100.. 11200.. 11300.. 11400.. 11500.. 11600.. 11700.. 11800.. 11900.. 12000.. 12100.. 12200.. 12300.. 12400.. 12500.. 12600.. 12700.. 12800.. 12900.. Done!3.12 s Number of sentences: 12990 Number of features: 11111785 Number of thread(s): 1 Freq: 1 eta: 0.00010 C: 1.00000 shrinking size: 20 iter=0 terr=0.99775 serr=1.00000 act=11111785 obj=470525.29168 diff=1.00000 iter=1 terr=0.61746 serr=0.62063 act=11111785 obj=431134.29267 diff=0.08372 iter=2 terr=0.61746 serr=0.62063 act=11111785 obj=306579.24469 diff=0.28890 iter=3 terr=0.61980 serr=0.63764 act=11111785 obj=465119.64431 diff=0.51713 iter=4 terr=0.61750 serr=0.62094 act=11111785 obj=289933.91803 diff=0.37665 iter=5 terr=0.61496 serr=0.64442 act=11111785 obj=269089.62010 diff=0.07189 iter=6 terr=0.59574 serr=0.62802 act=11111785 obj=231039.31642 diff=0.14140 iter=7 terr=0.55070 serr=0.61917 act=11111785 obj=199990.00913 diff=0.13439 iter=8 terr=0.40512 serr=0.54172 act=11111785 obj=145728.20217 diff=0.27132 iter=9 terr=0.33505 serr=0.47005 act=11111785 obj=115608.03330 diff=0.20669 iter=10 terr=0.29911 serr=0.44080 act=11111785 obj=99620.11652 diff=0.13829 iter=11 terr=0.25499 serr=0.39615 act=11111785 obj=79284.55561 diff=0.20413 iter=12 terr=0.28888 serr=0.38507 act=11111785 obj=72034.58696 diff=0.09144 iter=13 terr=0.23128 serr=0.37259 act=11111785 obj=64275.69272 diff=0.10771 iter=14 terr=0.21600 serr=0.35096 act=11111785 obj=59961.95407 diff=0.06711 iter=15 terr=0.21107 serr=0.34765 act=11111785 obj=57393.96463 diff=0.04283 iter=16 terr=0.20490 serr=0.34280 act=11111785 obj=54818.22931 diff=0.04488 iter=17 terr=0.19387 serr=0.32694 act=11111785 obj=48634.14648 diff=0.11281 iter=18 terr=0.17139 serr=0.31147 act=11111785 obj=42556.59242 diff=0.12496 iter=19 terr=0.15588 serr=0.28214 act=11111785 obj=38413.32553 diff=0.09736 iter=20 terr=0.15281 serr=0.28075 act=11111785 obj=36208.81938 diff=0.05739 iter=21 terr=0.14666 serr=0.27113 act=11111785 obj=34774.26311 diff=0.03962 iter=22 terr=0.13906 serr=0.25989 act=11111785 obj=33000.48811 diff=0.05101 iter=23 terr=0.13312 serr=0.25189 act=11111785 obj=31608.46969 diff=0.04218 iter=24 terr=0.12455 serr=0.24119 act=11111785 obj=28936.42413 diff=0.08454 iter=25 terr=0.13615 serr=0.25204 act=11111785 obj=28046.64471 diff=0.03075 iter=26 terr=0.10892 serr=0.22063 act=11111785 obj=25310.77109 diff=0.09755 iter=27 terr=0.10259 serr=0.21363 act=11111785 obj=24550.10844 diff=0.03005 iter=28 terr=0.10118 serr=0.21109 act=11111785 obj=23884.35106 diff=0.02712 iter=29 terr=0.09826 serr=0.20554 act=11111785 obj=22256.72093 diff=0.06815 iter=30 terr=0.09052 serr=0.19731 act=11111785 obj=20860.59747 diff=0.06273 iter=31 terr=0.08547 serr=0.18814 act=11111785 obj=20046.38335 diff=0.03903 iter=32 terr=0.07829 serr=0.17752 act=11111785 obj=18745.38800 diff=0.06490 iter=33 terr=0.11825 serr=0.20139 act=11111785 obj=21978.45196 diff=0.17247 iter=34 terr=0.07469 serr=0.17421 act=11111785 obj=18375.80874 diff=0.16392 iter=35 terr=0.07209 serr=0.17129 act=11111785 obj=17914.07786 diff=0.02513 iter=36 terr=0.06619 serr=0.16259 act=11111785 obj=16534.42288 diff=0.07702 iter=37 terr=0.05987 serr=0.15258 act=11111785 obj=15707.36472 diff=0.05002 iter=38 terr=0.05583 serr=0.14534 act=11111785 obj=15257.40332 diff=0.02865 iter=39 terr=0.05092 serr=0.13495 act=11111785 obj=14487.31295 diff=0.05047 iter=40 terr=0.06593 serr=0.14403 act=11111785 obj=15552.35739 diff=0.07352 iter=41 terr=0.04964 serr=0.13210 act=11111785 obj=14330.26036 diff=0.07858 iter=42 terr=0.04736 serr=0.12956 act=11111785 obj=14161.55779 diff=0.01177 iter=43 terr=0.04278 serr=0.12294 act=11111785 obj=13679.33419 diff=0.03405 iter=44 terr=0.04050 serr=0.11863 act=11111785 obj=13232.67592 diff=0.03265 iter=45 terr=0.03600 serr=0.10878 act=11111785 obj=12706.23849 diff=0.03978 iter=46 terr=0.03292 serr=0.10169 act=11111785 obj=12390.92281 diff=0.02482 iter=47 terr=0.03022 serr=0.09715 act=11111785 obj=12089.31964 diff=0.02434 iter=48 terr=0.03105 serr=0.09769 act=11111785 obj=11914.37838 diff=0.01447 iter=49 terr=0.02673 serr=0.08938 act=11111785 obj=11716.05289 diff=0.01665 iter=50 terr=0.02621 serr=0.08807 act=11111785 obj=11630.42703 diff=0.00731 iter=51 terr=0.02606 serr=0.08853 act=11111785 obj=11542.81964 diff=0.00753 iter=52 terr=0.02400 serr=0.08214 act=11111785 obj=11341.13276 diff=0.01747 iter=53 terr=0.02199 serr=0.07660 act=11111785 obj=11126.87593 diff=0.01889 iter=54 terr=0.02049 serr=0.07190 act=11111785 obj=10910.51075 diff=0.01945 iter=55 terr=0.01863 serr=0.06713 act=11111785 obj=10694.41595 diff=0.01981 iter=56 terr=0.01718 serr=0.06351 act=11111785 obj=10661.12982 diff=0.00311 iter=57 terr=0.01669 serr=0.06205 act=11111785 obj=10539.45534 diff=0.01141 iter=58 terr=0.01650 serr=0.06120 act=11111785 obj=10492.18511 diff=0.00449 iter=59 terr=0.01593 serr=0.05966 act=11111785 obj=10412.78117 diff=0.00757 iter=60 terr=0.01455 serr=0.05473 act=11111785 obj=10302.54175 diff=0.01059 iter=61 terr=0.01444 serr=0.05566 act=11111785 obj=10287.74830 diff=0.00144 iter=62 terr=0.01189 serr=0.04650 act=11111785 obj=10100.88938 diff=0.01816 iter=63 terr=0.01199 serr=0.04727 act=11111785 obj=10063.99222 diff=0.00365 iter=64 terr=0.01160 serr=0.04611 act=11111785 obj=10034.70520 diff=0.00291 iter=65 terr=0.01122 serr=0.04434 act=11111785 obj=9999.60635 diff=0.00350 iter=66 terr=0.01097 serr=0.04342 act=11111785 obj=9962.06130 diff=0.00375 iter=67 terr=0.01039 serr=0.04103 act=11111785 obj=9850.06162 diff=0.01124 iter=68 terr=0.01034 serr=0.04103 act=11111785 obj=9819.94137 diff=0.00306 iter=69 terr=0.00957 serr=0.03795 act=11111785 obj=9750.82611 diff=0.00704 iter=70 terr=0.00940 serr=0.03757 act=11111785 obj=9726.62183 diff=0.00248 iter=71 terr=0.00923 serr=0.03672 act=11111785 obj=9697.94956 diff=0.00295 iter=72 terr=0.00887 serr=0.03564 act=11111785 obj=9674.46910 diff=0.00242 iter=73 terr=0.00885 serr=0.03472 act=11111785 obj=9636.12201 diff=0.00396 iter=74 terr=0.00851 serr=0.03303 act=11111785 obj=9585.22522 diff=0.00528 iter=75 terr=0.00814 serr=0.03241 act=11111785 obj=9548.42197 diff=0.00384 iter=76 terr=0.00813 serr=0.03202 act=11111785 obj=9520.56202 diff=0.00292 iter=77 terr=0.00780 serr=0.03064 act=11111785 obj=9508.98462 diff=0.00122 iter=78 terr=0.00765 serr=0.03018 act=11111785 obj=9485.38482 diff=0.00248 iter=79 terr=0.00762 serr=0.03041 act=11111785 obj=9477.32641 diff=0.00085 iter=80 terr=0.00760 serr=0.03041 act=11111785 obj=9468.49493 diff=0.00093 iter=81 terr=0.00751 serr=0.02987 act=11111785 obj=9447.00241 diff=0.00227 iter=82 terr=0.00783 serr=0.03033 act=11111785 obj=9436.94071 diff=0.00107 iter=83 terr=0.00740 serr=0.02925 act=11111785 obj=9397.76804 diff=0.00415 iter=84 terr=0.00701 serr=0.02818 act=11111785 obj=9379.08888 diff=0.00199 iter=85 terr=0.00683 serr=0.02741 act=11111785 obj=9363.36680 diff=0.00168 iter=86 terr=0.00667 serr=0.02648 act=11111785 obj=9360.72662 diff=0.00028 iter=87 terr=0.00661 serr=0.02617 act=11111785 obj=9345.92632 diff=0.00158 iter=88 terr=0.00661 serr=0.02617 act=11111785 obj=9341.86488 diff=0.00043 iter=89 terr=0.00644 serr=0.02525 act=11111785 obj=9331.88759 diff=0.00107 iter=90 terr=0.00626 serr=0.02456 act=11111785 obj=9319.04664 diff=0.00138 iter=91 terr=0.00607 serr=0.02379 act=11111785 obj=9304.50133 diff=0.00156 iter=92 terr=0.00593 serr=0.02317 act=11111785 obj=9292.93146 diff=0.00124 iter=93 terr=0.00604 serr=0.02386 act=11111785 obj=9284.63037 diff=0.00089 iter=94 terr=0.00602 serr=0.02371 act=11111785 obj=9278.58518 diff=0.00065 iter=95 terr=0.00598 serr=0.02325 act=11111785 obj=9267.89142 diff=0.00115 iter=96 terr=0.00593 serr=0.02348 act=11111785 obj=9260.24878 diff=0.00082 iter=97 terr=0.00591 serr=0.02363 act=11111785 obj=9251.59223 diff=0.00093 iter=98 terr=0.00581 serr=0.02325 act=11111785 obj=9239.54514 diff=0.00130 iter=99 terr=0.00591 serr=0.02348 act=11111785 obj=9239.42203 diff=0.00001 iter=100 terr=0.00588 serr=0.02348 act=11111785 obj=9235.18150 diff=0.00046 iter=101 terr=0.00605 serr=0.02386 act=11111785 obj=9230.03762 diff=0.00056 iter=102 terr=0.00604 serr=0.02363 act=11111785 obj=9226.81677 diff=0.00035 iter=103 terr=0.00602 serr=0.02363 act=11111785 obj=9220.96547 diff=0.00063 iter=104 terr=0.00585 serr=0.02286 act=11111785 obj=9212.33441 diff=0.00094 iter=105 terr=0.00579 serr=0.02271 act=11111785 obj=9207.70509 diff=0.00050 iter=106 terr=0.00579 serr=0.02286 act=11111785 obj=9203.51535 diff=0.00046 iter=107 terr=0.00569 serr=0.02279 act=11111785 obj=9200.17904 diff=0.00036 iter=108 terr=0.00565 serr=0.02263 act=11111785 obj=9199.06773 diff=0.00012 iter=109 terr=0.00563 serr=0.02263 act=11111785 obj=9195.97307 diff=0.00034 iter=110 terr=0.00582 serr=0.02294 act=11111785 obj=9193.67724 diff=0.00025 iter=111 terr=0.00598 serr=0.02333 act=11111785 obj=9192.14725 diff=0.00017 iter=112 terr=0.00585 serr=0.02286 act=11111785 obj=9189.16510 diff=0.00032 iter=113 terr=0.00575 serr=0.02248 act=11111785 obj=9186.20565 diff=0.00032 iter=114 terr=0.00557 serr=0.02225 act=11111785 obj=9183.67300 diff=0.00028 iter=115 terr=0.00549 serr=0.02194 act=11111785 obj=9181.84125 diff=0.00020 iter=116 terr=0.00558 serr=0.02225 act=11111785 obj=9178.62613 diff=0.00035 iter=117 terr=0.00555 serr=0.02217 act=11111785 obj=9179.67956 diff=0.00011 iter=118 terr=0.00552 serr=0.02194 act=11111785 obj=9177.53595 diff=0.00023 iter=119 terr=0.00558 serr=0.02225 act=11111785 obj=9175.75661 diff=0.00019 iter=120 terr=0.00564 serr=0.02225 act=11111785 obj=9173.64778 diff=0.00023 iter=121 terr=0.00566 serr=0.02232 act=11111785 obj=9171.55127 diff=0.00023 iter=122 terr=0.00558 serr=0.02209 act=11111785 obj=9168.89926 diff=0.00029 iter=123 terr=0.00554 serr=0.02194 act=11111785 obj=9166.11170 diff=0.00030 iter=124 terr=0.00544 serr=0.02163 act=11111785 obj=9165.57873 diff=0.00006 iter=125 terr=0.00544 serr=0.02171 act=11111785 obj=9163.88006 diff=0.00019 iter=126 terr=0.00543 serr=0.02163 act=11111785 obj=9163.52011 diff=0.00004 iter=127 terr=0.00547 serr=0.02186 act=11111785 obj=9163.02492 diff=0.00005 iter=128 terr=0.00536 serr=0.02148 act=11111785 obj=9161.52271 diff=0.00016 iter=129 terr=0.00549 serr=0.02194 act=11111785 obj=9160.09174 diff=0.00016 iter=130 terr=0.00546 serr=0.02179 act=11111785 obj=9159.37972 diff=0.00008 iter=131 terr=0.00548 serr=0.02179 act=11111785 obj=9158.57347 diff=0.00009 iter=132 terr=0.00561 serr=0.02209 act=11111785 obj=9158.87981 diff=0.00003 Done!-1119.09 s === END program1: ./run learn ../dataset2/train --- OK [106421s] ===== 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 [0s] === START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out === END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [148s] === START program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out === END program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out --- OK [5s] ===== 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 [42s] === START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out === END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [1s] real 1776m57.785s user 1774m11.961s sys 0m3.044s
Run specification 
Results
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