Here is the information for 1.5.0
--- 1.5.0 ---
Training Model(s)....
Training Person Name Finder Model....
Indexing events using cutoff of 5
Computing event counts... done. 203621 events
Indexing... done.
Sorting and merging events... done. Reduced 203621 events to 180018.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 180018
Number of Outcomes: 3
Number of Predicates: 58814
...done.
Computing model parameters...
Performing 100 iterations.
1: .. loglikelihood=-223700.53283185585 0.9453494482396216
2: .. loglikelihood=-42038.94913866343 0.9457521571940026
3: .. loglikelihood=-26580.25177270225 0.9570623855103354
4: .. loglikelihood=-20112.649882413047 0.9665358681079064
5: .. loglikelihood=-16410.704208752973 0.974693179976525
6: .. loglikelihood=-14030.19449155922 0.9804931711365723
7: .. loglikelihood=-12373.208743842035 0.9847167040727627
8: .. loglikelihood=-11148.914184913185 0.9874178007180006
9: .. loglikelihood=-10202.447925790631 0.9893036572848577
10: .. loglikelihood=-9445.00620199445 0.9906247390986195
11: .. loglikelihood=-8822.338722025588 0.9916216893149528
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73: .. loglikelihood=-2796.495706628692 0.9974707913230954
74: .. loglikelihood=-2776.8986924048886 0.997495346747143
75: .. loglikelihood=-2757.73632819557 0.997505168916762
76: .. loglikelihood=-2738.9928833123317 0.9975149910863811
77: .. loglikelihood=-2720.6534072441577 0.9975149910863811
78: .. loglikelihood=-2702.7036809587917 0.9975199021711906
79: .. loglikelihood=-2685.130171834374 0.9975297243408097
80: .. loglikelihood=-2667.9199919110806 0.9975346354256192
81: .. loglikelihood=-2651.060859179115 0.9975395465104286
82: .. loglikelihood=-2634.5410616501285 0.9975542797648572
83: .. loglikelihood=-2618.349423979619 0.9975591908496668
84: .. loglikelihood=-2602.4752764328673 0.9975641019344763
85: .. loglikelihood=-2586.9084260031564 0.9975690130192858
86: .. loglikelihood=-2571.639129510152 0.9975739241040954
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88: .. loglikelihood=-2541.9563259582287 0.997618123867381
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91: .. loglikelihood=-2499.4434093579353 0.9976279460370001
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93: .. loglikelihood=-2472.350749721543 0.9977310788180002
94: .. loglikelihood=-2459.1575532766283 0.9977605453268572
95: .. loglikelihood=-2446.1908256218985 0.9977654564116668
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97: .. loglikelihood=-2420.911484034684 0.997794922920524
98: .. loglikelihood=-2408.5868319947976 0.9978047450901429
99: .. loglikelihood=-2396.464548848854 0.9978047450901429
100: .. loglikelihood=-2384.539171692942 0.997824389429381
Writing name finder model ... done (1.716s)
Wrote name finder model to
path: C:\Users\James
Kosin\Downloads\opennlp\opennlp-tools-1.5.0-bin\opennlp-tools-1.5.0\enPerNameFinder.model
Training Location Name Finder Model....
Indexing events using cutoff of 5
Computing event counts... done. 203621 events
Indexing... done.
Sorting and merging events... done. Reduced 203621 events to 179938.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 179938
Number of Outcomes: 3
Number of Predicates: 58913
...done.
Computing model parameters...
Performing 100 iterations.
1: .. loglikelihood=-223700.53283186432 0.9592527293353829
2: .. loglikelihood=-37662.12603751471 0.9593214845227163
3: .. loglikelihood=-23356.08071153895 0.9661282480687159
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7: .. loglikelihood=-10995.184956450741 0.9845988380373341
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11: .. loglikelihood=-8030.931283767397 0.989598322373429
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29: .. loglikelihood=-4511.762795783466 0.9946027177943336
30: .. loglikelihood=-4427.547919649448 0.9947254949145716
31: .. loglikelihood=-4347.898132178477 0.9948237166107622
32: .. loglikelihood=-4272.425882448111 0.9949612269854288
33: .. loglikelihood=-4200.787860779963 0.9950447154271908
34: .. loglikelihood=-4132.6787045466035 0.9951478482081907
35: .. loglikelihood=-4067.8257666219033 0.9952902696676669
36: .. loglikelihood=-4005.9847405809505 0.9954425132967621
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75: .. loglikelihood=-2738.192273467185 0.9969600385029049
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88: .. loglikelihood=-2532.358878077676 0.9972399703370477
89: .. loglikelihood=-2518.559824965999 0.9972547035914763
90: .. loglikelihood=-2505.0080398480795 0.9972694368459049
91: .. loglikelihood=-2491.6962673129437 0.997298903354762
92: .. loglikelihood=-2478.6175437732845 0.9973038144395716
93: .. loglikelihood=-2465.765182695122 0.9973136366091906
94: .. loglikelihood=-2453.132760722479 0.9973431031180477
95: .. loglikelihood=-2440.7141046344486 0.9973627474572858
96: .. loglikelihood=-2428.5032790768046 0.9973725696269049
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99: .. loglikelihood=-2393.0617622045065 0.997411858305381
100: .. loglikelihood=-2381.6272721929636 0.9974315026446192
Writing name finder model ... done (1.607s)
Wrote name finder model to
path: C:\Users\James
Kosin\Downloads\opennlp\opennlp-tools-1.5.0-bin\opennlp-tools-1.5.0\enLocNameFinder.model
Training Organization Name Finder Model....
Indexing events using cutoff of 5
Computing event counts... done. 203621 events
Indexing... done.
Sorting and merging events... done. Reduced 203621 events to 180049.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 180049
Number of Outcomes: 3
Number of Predicates: 58958
...done.
Computing model parameters...
Performing 100 iterations.
1: .. loglikelihood=-223700.5328318717 0.03104296708099852
2: .. loglikelihood=-43104.798167910296 0.9507663747845262
3: .. loglikelihood=-29286.53127643238 0.9520432568350022
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92: .. loglikelihood=-3222.425690767618 0.996464018937143
93: .. loglikelihood=-3205.68655092176 0.9964738411067621
94: .. loglikelihood=-3189.241010986442 0.9965082187004287
95: .. loglikelihood=-3173.0806564517393 0.9965180408700478
96: .. loglikelihood=-3157.197402624764 0.9965278630396668
97: .. loglikelihood=-3141.5834783655473 0.9965327741244764
98: .. loglikelihood=-3126.2314107842076 0.9965622406333335
99: .. loglikelihood=-3111.134010832497 0.9965867960573811
100: .. loglikelihood=-3096.2843597294727 0.9966015293118097
Writing name finder model ... done (1.685s)
Wrote name finder model to
path: C:\Users\James
Kosin\Downloads\opennlp\opennlp-tools-1.5.0-bin\opennlp-tools-1.5.0\enOrgNameFinder.model
Training Misc Name Finder Model....
Indexing events using cutoff of 5
Computing event counts... done. 203621 events
Indexing... done.
Sorting and merging events... done. Reduced 203621 events to 179892.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 179892
Number of Outcomes: 3
Number of Predicates: 58894
...done.
Computing model parameters...
Performing 100 iterations.
1: .. loglikelihood=-223700.53283186362 0.9774433874698583
2: .. loglikelihood=-31242.172607256707 0.9774433874698583
3: .. loglikelihood=-18900.381225016852 0.9774630318090963
4: .. loglikelihood=-14251.331904001141 0.9791278895595248
5: .. loglikelihood=-11552.731072809765 0.9823053614312866
6: .. loglikelihood=-9825.621104074655 0.9854926554726674
7: .. loglikelihood=-8641.88181464453 0.9876731771280959
8: .. loglikelihood=-7781.162199852278 0.9891907023342386
9: .. loglikelihood=-7124.888646221066 0.9903988291973814
10: .. loglikelihood=-6605.481965810962 0.9913172020567623
11: .. loglikelihood=-6182.117266254538 0.9918917989794765
12: .. loglikelihood=-5828.830928712951 0.9924762180718099
13: .. loglikelihood=-5528.371916033501 0.9929525932983336
14: .. loglikelihood=-5268.841532498251 0.9934093241856193
15: .. loglikelihood=-5041.763923409165 0.9937039892741908
16: .. loglikelihood=-4840.930164023643 0.9939446324298574
17: .. loglikelihood=-4661.679790755253 0.9943571635538574
18: .. loglikelihood=-4500.439345898545 0.9945437847766193
19: .. loglikelihood=-4354.417125979323 0.9947156727449527
20: .. loglikelihood=-4221.395835069608 0.9948433609500003
21: .. loglikelihood=-4099.588362979002 0.995093826275286
22: .. loglikelihood=-3987.535328846073 0.9952116923107145
23: .. loglikelihood=-3884.0309116401763 0.9953442916005717
24: .. loglikelihood=-3788.0682438134363 0.995526001738524
25: .. loglikelihood=-3698.7985878640948 0.9956242234347145
26: .. loglikelihood=-3615.500384403541 0.995732267300524
27: .. loglikelihood=-3537.555476409893 0.9958304889967144
28: .. loglikelihood=-3464.430623346545 0.9959729104561906
29: .. loglikelihood=-3395.66296619553 0.9960711321523812
30: .. loglikelihood=-3330.8484791919172 0.9961497095093336
31: .. loglikelihood=-3269.632703357095 0.9962233757814764
32: .. loglikelihood=-3211.7032391774933 0.9963019531384287
33: .. loglikelihood=-3156.7836068130027 0.9963903526650002
34: .. loglikelihood=-3104.6281786919626 0.996454196767524
35: .. loglikelihood=-3055.017961469873 0.9965376852092859
36: .. loglikelihood=-3007.7570582812737 0.9966309958206668
37: .. loglikelihood=-2962.6696822185963 0.9967193953472383
38: .. loglikelihood=-2919.5976213229915 0.9968077948738097
39: .. loglikelihood=-2878.398076844545 0.9968618168067145
40: .. loglikelihood=-2838.9418123709233 0.9968961944003811
41: .. loglikelihood=-2801.1115633330446 0.9969502163332858
42: .. loglikelihood=-2764.8006655709796 0.9970238826054287
43: .. loglikelihood=-2729.91186887577 0.9970680823687145
44: .. loglikelihood=-2696.3563072348907 0.9971073710471906
45: .. loglikelihood=-2664.0526022410513 0.9971417486408573
46: .. loglikelihood=-2632.9260800051907 0.9971712151497144
47: .. loglikelihood=-2602.908085116955 0.997205592743381
48: .. loglikelihood=-2573.9353778411028 0.9972350592522382
49: .. loglikelihood=-2545.9496029300094 0.9972497925066668
50: .. loglikelihood=-2518.8968202478814 0.9973038144395716
51: .. loglikelihood=-2492.7270889126607 0.9973185476940001
52: .. loglikelihood=-2467.394097914627 0.9973381920332383
53: .. loglikelihood=-2442.854837218664 0.9973725696269049
54: .. loglikelihood=-2419.0693042318367 0.9974020361357621
55: .. loglikelihood=-2396.0002412488184 0.9974560580686668
56: .. loglikelihood=-2373.6129001071517 0.9974757024079048
57: .. loglikelihood=-2351.874830801363 0.9974904356623334
58: .. loglikelihood=-2330.7556912457712 0.9975248132560001
59: .. loglikelihood=-2310.2270757488827 0.9975591908496668
60: .. loglikelihood=-2290.2623600799634 0.9976033906129524
61: .. loglikelihood=-2270.8365612794005 0.9976377682066192
62: .. loglikelihood=-2251.926210597823 0.9976525014610478
63: .. loglikelihood=-2233.5092381480827 0.9976672347154762
64: .. loglikelihood=-2215.564868026729 0.9976967012243334
65: .. loglikelihood=-2198.073522810981 0.9977261677331906
66: .. loglikelihood=-2181.016736465161 0.9977458120724286
67: .. loglikelihood=-2164.3770748037186 0.9977507231572382
68: .. loglikelihood=-2148.1380627549784 0.9977801896660954
69: .. loglikelihood=-2132.2841177550486 0.9977900118357144
70: .. loglikelihood=-2116.800488675973 0.9977998340053335
71: .. loglikelihood=-2101.6731997572488 0.997824389429381
72: .. loglikelihood=-2086.8889990677517 0.9978391226838096
73: .. loglikelihood=-2072.435311074716 0.9978636781078573
74: .. loglikelihood=-2058.3001929419274 0.9978784113622858
75: .. loglikelihood=-2044.4722942178414 0.9978833224470953
76: .. loglikelihood=-2030.9408196094564 0.9979029667863334
77: .. loglikelihood=-2017.6954945684085 0.997907877871143
78: .. loglikelihood=-2004.7265334435385 0.997917700040762
79: .. loglikelihood=-1992.0246099774574 0.9979324332951905
80: .. loglikelihood=-1979.5808299479884 0.9979520776344286
81: .. loglikelihood=-1967.386705772769 0.9979618998040477
82: .. loglikelihood=-1955.4341329137897 0.9979668108888572
83: .. loglikelihood=-1943.7153679337864 0.9979864552280954
84: .. loglikelihood=-1932.2230080698819 0.998001188482524
85: .. loglikelihood=-1920.949972202715 0.9980110106521429
86: .. loglikelihood=-1909.8894831095263 0.9980355660761906
87: .. loglikelihood=-1899.0350509013351 0.9980404771610001
88: .. loglikelihood=-1888.380457551138 0.9980552104154287
89: .. loglikelihood=-1877.919742429958 0.9980601215002382
90: .. loglikelihood=-1867.6471887739842 0.9980601215002382
91: .. loglikelihood=-1857.557311012893 0.9980846769242858
92: .. loglikelihood=-1847.6448428951521 0.9980994101787144
93: .. loglikelihood=-1837.904726352112 0.998114143433143
94: .. loglikelihood=-1828.3321010467953 0.9981386988571905
95: .. loglikelihood=-1818.9222945583765 0.9981436099420001
96: .. loglikelihood=-1809.6708131568469 0.9981632542812382
97: .. loglikelihood=-1800.573333126767 0.9981779875356668
98: .. loglikelihood=-1791.6256926012736 0.9981828986204763
99: .. loglikelihood=-1782.8238838717132 0.9981976318749048
100: .. loglikelihood=-1774.1640461399982 0.9982123651293334
Writing name finder model ... done (1.576s)
Wrote name finder model to
path: C:\Users\James
Kosin\Downloads\opennlp\opennlp-tools-1.5.0-bin\opennlp-tools-1.5.0\enMiscNameFinder.model
Testing Model....
Testing on Test Set A
Testing Person Name Finder
Loading Token Name Finder model ... done (0.359s)
current: 214.6 sent/s avg: 214.6 sent/s total: 221 sent
current: 639.9 sent/s avg: 422.3 sent/s total: 850 sent
current: 557.2 sent/s avg: 467.5 sent/s total: 1415 sent
current: 882.8 sent/s avg: 570.7 sent/s total: 2297 sent
current: 632.6 sent/s avg: 583.0 sent/s total: 2929 sent
Average: 585.3 sent/s
Total: 3251 sent
Runtime: 5.554s
Precision: 0.901992661721591
Recall: 0.7263843648208469
F-Measure: 0.8047194918352375
Testing Location Name Finder
Loading Token Name Finder model ... done (0.359s)
current: 220.9 sent/s avg: 220.9 sent/s total: 224 sent
current: 673.3 sent/s avg: 448.6 sent/s total: 903 sent
current: 603.2 sent/s avg: 499.8 sent/s total: 1505 sent
current: 958.6 sent/s avg: 615.4 sent/s total: 2477 sent
current: 603.6 sent/s avg: 613.3 sent/s total: 3081 sent
Average: 614.7 sent/s
Total: 3251 sent
Runtime: 5.289s
Precision: 0.9584186939820742
Recall: 0.7408818726183996
F-Measure: 0.8357262402029991
Testing Organization Name Finder
Loading Token Name Finder model ... done (0.358s)
current: 276.1 sent/s avg: 276.1 sent/s total: 280 sent
current: 648.6 sent/s avg: 462.0 sent/s total: 930 sent
current: 697.4 sent/s avg: 540.4 sent/s total: 1627 sent
current: 985.0 sent/s avg: 651.3 sent/s total: 2611 sent
Average: 663.6 sent/s
Total: 3251 sent
Runtime: 4.899s
Precision: 0.8290322580645161
Recall: 0.6226696495152871
F-Measure: 0.711183505195638
Testing Misc Name Finder
Loading Token Name Finder model ... done (0.374s)
current: 196.3 sent/s avg: 196.3 sent/s total: 199 sent
current: 686.7 sent/s avg: 430.0 sent/s total: 879 sent
current: 601.2 sent/s avg: 485.6 sent/s total: 1470 sent
current: 910.8 sent/s avg: 591.1 sent/s total: 2379 sent
current: 656.3 sent/s avg: 604.0 sent/s total: 3034 sent
Average: 607.5 sent/s
Total: 3251 sent
Runtime: 5.351s
Precision: 0.8492613111726685
Recall: 0.6052060737527115
F-Measure: 0.706757826338278
. .
Testing on Test Set B
Testing Person Name Finder
Loading Token Name Finder model ... done (0.375s)
current: 205.1 sent/s avg: 205.1 sent/s total: 208 sent
current: 788.6 sent/s avg: 495.0 sent/s total: 996 sent
current: 586.8 sent/s avg: 526.1 sent/s total: 1592 sent
current: 739.7 sent/s avg: 579.4 sent/s total: 2332 sent
current: 1080.2 sent/s avg: 678.9 sent/s total: 3410 sent
Average: 681.3 sent/s
Total: 3454 sent
Runtime: 5.07s
Precision: 0.8977988745723299
Recall: 0.6821273964131107
F-Measure: 0.7752427693131103
Testing Location Name Finder
Loading Token Name Finder model ... done (0.359s)
current: 192.3 sent/s avg: 192.3 sent/s total: 195 sent
current: 748.5 sent/s avg: 470.4 sent/s total: 954 sent
current: 611.6 sent/s avg: 517.3 sent/s total: 1566 sent
current: 766.5 sent/s avg: 579.1 sent/s total: 2331 sent
current: 1089.1 sent/s avg: 680.7 sent/s total: 3420 sent
Average: 683.3 sent/s
Total: 3454 sent
Runtime: 5.055s
Precision: 0.9485177151120753
Recall: 0.7182254196642686
F-Measure: 0.8174619349330977
Testing Organization Name Finder
Loading Token Name Finder model ... done (0.359s)
current: 200.2 sent/s avg: 200.2 sent/s total: 203 sent
current: 811.6 sent/s avg: 503.5 sent/s total: 1013 sent
current: 770.8 sent/s avg: 592.5 sent/s total: 1784 sent
current: 883.8 sent/s avg: 665.8 sent/s total: 2669 sent
Average: 758.3 sent/s
Total: 3454 sent
Runtime: 4.555s
Precision: 0.818058934847256
Recall: 0.5394340758579169
F-Measure: 0.6501526888707977
Testing Misc Name Finder
Loading Token Name Finder model ... done (0.328s)
current: 215.0 sent/s avg: 215.0 sent/s total: 218 sent
current: 797.6 sent/s avg: 504.0 sent/s total: 1014 sent
current: 614.2 sent/s avg: 540.5 sent/s total: 1627 sent
current: 736.7 sent/s avg: 590.2 sent/s total: 2375 sent
Average: 702.9 sent/s
Total: 3454 sent
Runtime: 4.914s
Precision: 0.8979300499643112
Recall: 0.5299145299145299
F-Measure: 0.6664957615531857
