ServerRun 11015
Creatorlavergne
Programwapiti
DatasetNikhilDatasetTokenWithPTBT
Task typeSequenceTagging
Created6y296d ago
Done! Flag_green
11s
40M
SequenceTagging
1.000
0
0.958
0

Log file

RM: wapiti
CC: wapiti.c --> wapiti
src/rprop.c: In function ‘trn_rprop’:
src/rprop.c:155: warning: dereferencing type-punned pointer will break strict-aliasing rules
===== MAIN: learn based on training data =====
=== START program1: ./run learn ../dataset2/train
3
* Load patterns
* Load training data
* Initialize the model
* Summary
    nb train:    268
    nb labels:   4
    nb blocks:   23198
    nb features: 92808
* Train the model with rprop
  [   1] obj=6726.30    act=33011    err= 5.87%/41.04% time=0.01s/0.01s
  [   2] obj=3009.98    act=4433     err=10.66%/72.01% time=0.03s/0.04s
  [   3] obj=5727.13    act=31539    err= 5.67%/41.04% time=0.03s/0.07s
  [   4] obj=1762.30    act=6905     err= 5.17%/38.06% time=0.02s/0.09s
  [   5] obj=890.67     act=7884     err= 0.14%/ 2.61% time=0.03s/0.12s
  [   6] obj=1231.25    act=9968     err= 4.37%/35.45% time=0.02s/0.14s
  [   7] obj=812.52     act=7704     err= 0.43%/ 5.97% time=0.02s/0.16s
  [   8] obj=751.69     act=7206     err= 2.95%/29.10% time=0.02s/0.18s
  [   9] obj=678.25     act=7605     err= 0.37%/ 5.97% time=0.04s/0.22s
  [  10] obj=656.75     act=7043     err= 1.55%/17.54% time=0.02s/0.24s
  [  11] obj=624.64     act=7272     err= 0.33%/ 5.60% time=0.02s/0.26s
  [  12] obj=598.09     act=7094     err= 0.58%/ 8.58% time=0.02s/0.28s
  [  13] obj=581.99     act=7163     err= 0.27%/ 4.48% time=0.02s/0.30s
  [  14] obj=567.34     act=7155     err= 0.23%/ 3.73% time=0.03s/0.33s
  [  15] obj=558.95     act=7189     err= 0.47%/ 7.84% time=0.03s/0.36s
  [  16] obj=554.49     act=7217     err= 0.31%/ 3.73% time=0.02s/0.38s
  [  17] obj=551.51     act=7278     err= 0.25%/ 4.10% time=0.03s/0.41s
  [  18] obj=545.75     act=7165     err= 0.14%/ 1.87% time=0.02s/0.43s
  [  19] obj=545.12     act=7249     err= 0.08%/ 1.49% time=0.03s/0.46s
  [  20] obj=542.17     act=7175     err= 0.12%/ 2.24% time=0.02s/0.48s
  [  21] obj=539.12     act=7184     err= 0.10%/ 1.87% time=0.02s/0.50s
  [  22] obj=536.26     act=7193     err= 0.23%/ 3.73% time=0.02s/0.52s
  [  23] obj=534.42     act=7210     err= 0.02%/ 0.37% time=0.03s/0.55s
  [  24] obj=535.27     act=7207     err= 0.10%/ 1.87% time=0.02s/0.57s
  [  25] obj=533.25     act=7197     err= 0.02%/ 0.37% time=0.03s/0.60s
  [  26] obj=532.10     act=7195     err= 0.04%/ 0.75% time=0.02s/0.62s
  [  27] obj=531.59     act=7197     err= 0.02%/ 0.37% time=0.03s/0.65s
  [  28] obj=530.62     act=7195     err= 0.02%/ 0.37% time=0.02s/0.67s
  [  29] obj=529.77     act=7196     err= 0.02%/ 0.37% time=0.02s/0.69s
  [  30] obj=528.82     act=7195     err= 0.02%/ 0.37% time=0.03s/0.72s
  [  31] obj=527.88     act=7195     err= 0.02%/ 0.37% time=0.02s/0.74s
* Save the model
* Done
=== END program1: ./run learn ../dataset2/train --- OK [2s]

===== 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
* Load model
* Label sequences
* Done
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [0s]
=== START program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out
=== END program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out --- OK [4s]

===== 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
* Load model
* Label sequences
* Done
=== END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [0s]
=== START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out
=== END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [0s]


real	0m15.039s
user	0m3.360s
sys	0m0.424s

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