Hello, the model is only available after the training finished, hard to guess what you are doing.
Do you use the command line? Which command? Jörn On Mon, Mar 6, 2017 at 10:29 AM, Damiano Porta <damianopo...@gmail.com> wrote: > Hello Jorn, > I tried with 300 iterations and it takes forever, reducing that number to > 100 i can finally get the model in half an hour. > > The problem with 300 iterations is that i can see the model (.bin) in half > an hour too but the computations are still running. So i do not really > understand what it is doing. > > Damiano > > 2017-03-06 10:19 GMT+01:00 Joern Kottmann <kottm...@gmail.com>: > > > Hello, > > > > this looks like output from the cross validator. > > > > Jörn > > > > On Sun, Mar 5, 2017 at 11:34 AM, Damiano Porta <damianopo...@gmail.com> > > wrote: > > > > > Hello, > > > > > > I am training a NER model with perceptron classifier (using OpenNLP > > 1.7.0) > > > > > > the output of the training is: > > > > > > Indexing events using cutoff of 0 > > > > > > Computing event counts... done. 11861603 events > > > Indexing... done. > > > Collecting events... Done indexing. > > > Incorporating indexed data for training... > > > done. > > > Number of Event Tokens: 11861603 > > > Number of Outcomes: 23 > > > Number of Predicates: 6623489 > > > Computing model parameters... > > > Performing 300 iterations. > > > 1: . (11795234/11861603) 0.9944047191597966 > > > 2: . (11820243/11861603) 0.9965131188423689 > > > 3: . (11829329/11861603) 0.9972791198626357 > > > 4: . (11834935/11861603) 0.9977517372651908 > > > 5: . (11838996/11861603) 0.9980941024581584 > > > 6: . (11841501/11861603) 0.9983052880795286 > > > 7: . (11843704/11861603) 0.998491013398442 > > > 8: . (11845304/11861603) 0.9986259024180796 > > > 9: . (11846421/11861603) 0.9987200718149141 > > > 10: . (11847181/11861603) 0.9987841440992419 > > > 20: . (11852226/11861603) 0.9992094660392866 > > > 30: . (11853947/11861603) 0.9993545560410343 > > > 40: . (11854831/11861603) 0.999429082224384 > > > 50: . (11855471/11861603) 0.999483037832239 > > > Stopping: change in training set accuracy less than 1.0E-5 > > > Stats: (11846242/11861603) 0.998704981105842 > > > ...done. > > > Compressed 6623489 parameters to 554312 > > > 6892 outcome patterns > > > Indexing events using cutoff of 0 > > > > > > Computing event counts... done. 6370206 events > > > Indexing... done. > > > Collecting events... Done indexing. > > > Incorporating indexed data for training... > > > done. > > > Number of Event Tokens: 6370206 > > > Number of Outcomes: 23 > > > Number of Predicates: 3737425 > > > Computing model parameters... > > > Performing 300 iterations. > > > 1: . (6330365/6370206) 0.9937457281601254 > > > 2: . (6345859/6370206) 0.9961779885925196 > > > 3: . (6351552/6370206) 0.9970716802564941 > > > 4: . (6354847/6370206) 0.9975889319748843 > > > 5: . (6356872/6370206) 0.997906818084062 > > > 6: . (6358350/6370206) 0.998138835698563 > > > 7: . (6359611/6370206) 0.9983367884806237 > > > 8: . (6360473/6370206) 0.9984721059256169 > > > 9: . (6361138/6370206) 0.9985764981540628 > > > 10: . (6361532/6370206) 0.9986383485871572 > > > 20: . (6364161/6370206) 0.9990510510963068 > > > 30: . (6365106/6370206) 0.9991993979472563 > > > Stopping: change in training set accuracy less than 1.0E-5 > > > Stats: (6360617/6370206) 0.9984947111600473 > > > ...done. > > > Indexing events using cutoff of 0 > > > > > > Computing event counts... done. 6370114 events > > > Indexing... done. > > > Collecting events... Done indexing. > > > Incorporating indexed data for training... > > > done. > > > Number of Event Tokens: 6370114 > > > Number of Outcomes: 23 > > > Number of Predicates: 3737390 > > > Computing model parameters... > > > Performing 300 iterations. > > > 1: . (6330266/6370114) 0.9937445389517362 > > > 2: . (6345810/6370114) 0.9961846836650019 > > > 3: . (6351374/6370114) 0.9970581374210885 > > > 4: . (6354747/6370114) 0.9975876412886803 > > > 5: . (6356872/6370114) 0.9979212302950936 > > > 6: . (6358429/6370114) 0.998165652922381 > > > 7: . (6359417/6370114) 0.9983207521874805 > > > 8: . (6360292/6370114) 0.9984581123665919 > > > 9: . (6361076/6370114) 0.9985811870870757 > > > 10: . (6361693/6370114) 0.998678045636232 > > > 20: . (6364109/6370114) 0.9990573167136413 > > > 30: . (6365008/6370114) 0.9991984444862368 > > > 40: . (6365478/6370114) 0.9992722265253023 > > > Stopping: change in training set accuracy less than 1.0E-5 > > > Stats: (6359985/6370114) 0.9984099185666065 > > > ...done. > > > Indexing events using cutoff of 0 > > > > > > Computing event counts... done. 6370480 events > > > Indexing... done. > > > Collecting events... Done indexing. > > > Incorporating indexed data for training... > > > done. > > > Number of Event Tokens: 6370480 > > > Number of Outcomes: 23 > > > Number of Predicates: 3737798 > > > Computing model parameters... > > > Performing 300 iterations. > > > 1: . (6330685/6370480) 0.9937532179678769 > > > 2: . (6346153/6370480) 0.9961812924614786 > > > 3: . (6351726/6370480) 0.9970561088018485 > > > 4: . (6355089/6370480) 0.9975840125076917 > > > 5: . (6357173/6370480) 0.9979111464128292 > > > 6: . (6358780/6370480) 0.9981634036995642 > > > 7: . (6359845/6370480) 0.9983305810551167 > > > 8: . (6360827/6370480) 0.9984847295651191 > > > 9: . (6361316/6370480) 0.9985614898720347 > > > 10: . (6362076/6370480) 0.9986807901445417 > > > 20: . (6364506/6370480) 0.9990622370684784 > > > 30: . (6365415/6370480) 0.9992049264733583 > > > Stopping: change in training set accuracy less than 1.0E-5 > > > Stats: (6362594/6370480) 0.9987621026986977 > > > ...done. > > > Indexing events using cutoff of 0 > > > > > > Computing event counts... done. 6370008 events > > > Indexing... done. > > > Collecting events... Done indexing. > > > Incorporating indexed data for training... > > > done. > > > Number of Event Tokens: 6370008 > > > Number of Outcomes: 23 > > > Number of Predicates: 3737824 > > > Computing model parameters... > > > Performing 300 iterations. > > > 1: . (6330200/6370008) 0.9937507142848172 > > > 2: . (6345643/6370008) 0.9961750440501802 > > > 3: . (6351415/6370008) 0.9970811653611737 > > > 4: . (6354522/6370008) 0.9975689198506501 > > > 5: . (6356723/6370008) 0.9979144453193779 > > > 6: . (6358164/6370008) 0.9981406616757781 > > > 7: . (6359399/6370008) 0.9983345389833106 > > > 8: . (6360274/6370008) 0.9984719014481614 > > > 9: . (6360694/6370008) 0.9985378354312899 > > > 10: . (6361531/6370008) 0.9986692324405244 > > > .... > > > .... > > > .... > > > > > > etc etc is that normal ? The parameters are; *0 cutoff* and *300 > > > iterators*. > > > > > > The corpus is relative small, it has 20k sentences. > > > > > > I do not remember an output like that using MAXENT classifier. > > > > > > Damiano > > > > > >
