$ /home/okazaki/projects/crfsuite/frontend/crfsuite learn -a ap -p feature.possible_states=0 -p feature.possible_transitions=0 -p max_iterations=50 -m crfsuite/ap-sparse.model train.crfsuite > crfsuite/ap-sparse.tr.log CRFSuite 0.11.2 Copyright (c) 2007-2011 Naoaki Okazaki Start time of the training: 2011-07-01T05:52:22Z Reading the data set(s) [1] train.crfsuite 0....1....2....3....4....5....6....7....8....9....10 Number of instances: 8937 Seconds required: 5.170 Statistics the data set(s) Number of data sets (groups): 1 Number of instances: 8936 Number of items: 211727 Number of attributes: 335674 Number of labels: 22 Feature generation type: CRF1d feature.minfreq: 0.000000 feature.possible_states: 0 feature.possible_transitions: 0 0....1....2....3....4....5....6....7....8....9....10 Number of features: 452755 Seconds required: 1.890 Averaged perceptron max_iterations: 50 epsilon: 0.000000 ***** Iteration #1 ***** Loss: 729.727718 Feature norm: 360.028707 Seconds required for this iteration: 1.370 ***** Iteration #2 ***** Loss: 437.452709 Feature norm: 471.018983 Seconds required for this iteration: 1.260 ***** Iteration #3 ***** Loss: 315.670298 Feature norm: 552.527788 Seconds required for this iteration: 1.210 ***** Iteration #4 ***** Loss: 239.128701 Feature norm: 617.250294 Seconds required for this iteration: 1.160 ***** Iteration #5 ***** Loss: 186.985793 Feature norm: 670.374515 Seconds required for this iteration: 1.110 ***** Iteration #6 ***** Loss: 138.965049 Feature norm: 715.031609 Seconds required for this iteration: 1.070 ***** Iteration #7 ***** Loss: 112.344802 Feature norm: 753.417413 Seconds required for this iteration: 1.040 ***** Iteration #8 ***** Loss: 84.493451 Feature norm: 786.486864 Seconds required for this iteration: 1.010 ***** Iteration #9 ***** Loss: 87.841313 Feature norm: 815.516662 Seconds required for this iteration: 1.020 ***** Iteration #10 ***** Loss: 72.893908 Feature norm: 841.503239 Seconds required for this iteration: 0.990 ***** Iteration #11 ***** Loss: 58.158009 Feature norm: 864.827786 Seconds required for this iteration: 0.980 ***** Iteration #12 ***** Loss: 56.718245 Feature norm: 885.885351 Seconds required for this iteration: 0.980 ***** Iteration #13 ***** Loss: 45.585685 Feature norm: 905.049271 Seconds required for this iteration: 0.970 ***** Iteration #14 ***** Loss: 36.754778 Feature norm: 922.435492 Seconds required for this iteration: 0.940 ***** Iteration #15 ***** Loss: 26.663195 Feature norm: 938.277328 Seconds required for this iteration: 0.940 ***** Iteration #16 ***** Loss: 30.416868 Feature norm: 952.747273 Seconds required for this iteration: 0.950 ***** Iteration #17 ***** Loss: 26.540460 Feature norm: 966.089105 Seconds required for this iteration: 0.940 ***** Iteration #18 ***** Loss: 27.686683 Feature norm: 978.442331 Seconds required for this iteration: 0.930 ***** Iteration #19 ***** Loss: 25.540564 Feature norm: 989.955091 Seconds required for this iteration: 0.940 ***** Iteration #20 ***** Loss: 20.307133 Feature norm: 1000.714255 Seconds required for this iteration: 0.930 ***** Iteration #21 ***** Loss: 22.206329 Feature norm: 1010.774441 Seconds required for this iteration: 0.930 ***** Iteration #22 ***** Loss: 22.909372 Feature norm: 1020.276335 Seconds required for this iteration: 0.930 ***** Iteration #23 ***** Loss: 17.944693 Feature norm: 1029.237894 Seconds required for this iteration: 0.920 ***** Iteration #24 ***** Loss: 18.443746 Feature norm: 1037.701755 Seconds required for this iteration: 0.930 ***** Iteration #25 ***** Loss: 17.129304 Feature norm: 1045.729362 Seconds required for this iteration: 0.920 ***** Iteration #26 ***** Loss: 15.573314 Feature norm: 1053.324188 Seconds required for this iteration: 0.920 ***** Iteration #27 ***** Loss: 13.038932 Feature norm: 1060.533477 Seconds required for this iteration: 0.920 ***** Iteration #28 ***** Loss: 10.615879 Feature norm: 1067.366405 Seconds required for this iteration: 0.910 ***** Iteration #29 ***** Loss: 8.283623 Feature norm: 1073.839000 Seconds required for this iteration: 0.910 ***** Iteration #30 ***** Loss: 9.826890 Feature norm: 1079.989798 Seconds required for this iteration: 0.910 ***** Iteration #31 ***** Loss: 13.302873 Feature norm: 1085.857248 Seconds required for this iteration: 0.920 ***** Iteration #32 ***** Loss: 11.556166 Feature norm: 1091.481139 Seconds required for this iteration: 0.910 ***** Iteration #33 ***** Loss: 11.460581 Feature norm: 1096.867909 Seconds required for this iteration: 0.910 ***** Iteration #34 ***** Loss: 10.332619 Feature norm: 1102.031236 Seconds required for this iteration: 0.910 ***** Iteration #35 ***** Loss: 9.915544 Feature norm: 1106.988493 Seconds required for this iteration: 0.910 ***** Iteration #36 ***** Loss: 9.514344 Feature norm: 1111.769392 Seconds required for this iteration: 0.920 ***** Iteration #37 ***** Loss: 11.226416 Feature norm: 1116.375225 Seconds required for this iteration: 0.910 ***** Iteration #38 ***** Loss: 7.403521 Feature norm: 1120.811616 Seconds required for this iteration: 0.910 ***** Iteration #39 ***** Loss: 7.692763 Feature norm: 1125.082267 Seconds required for this iteration: 0.910 ***** Iteration #40 ***** Loss: 4.105476 Feature norm: 1129.183141 Seconds required for this iteration: 0.900 ***** Iteration #41 ***** Loss: 6.643399 Feature norm: 1133.128689 Seconds required for this iteration: 0.910 ***** Iteration #42 ***** Loss: 8.524054 Feature norm: 1136.935043 Seconds required for this iteration: 0.910 ***** Iteration #43 ***** Loss: 6.832573 Feature norm: 1140.619651 Seconds required for this iteration: 0.900 ***** Iteration #44 ***** Loss: 4.877720 Feature norm: 1144.180135 Seconds required for this iteration: 0.910 ***** Iteration #45 ***** Loss: 7.346155 Feature norm: 1147.615774 Seconds required for this iteration: 0.900 ***** Iteration #46 ***** Loss: 4.566092 Feature norm: 1150.944233 Seconds required for this iteration: 0.910 ***** Iteration #47 ***** Loss: 4.343722 Feature norm: 1154.163570 Seconds required for this iteration: 0.900 ***** Iteration #48 ***** Loss: 3.842802 Feature norm: 1157.278026 Seconds required for this iteration: 0.910 ***** Iteration #49 ***** Loss: 6.159350 Feature norm: 1160.292818 Seconds required for this iteration: 0.900 ***** Iteration #50 ***** Loss: 5.530864 Feature norm: 1163.218170 Seconds required for this iteration: 0.910 Total seconds required for training: 48.110 Storing the model Number of active features: 175827 (452755) Number of active attributes: 105587 (335674) Number of active labels: 22 (22) Writing labels Writing attributes Writing feature references for transitions Writing feature references for attributes Seconds required: 0.240 End time of the training: 2011-07-01T05:53:18Z