 | Run 26907 |
| Creator | internal |
| Program | sgd-logistic-stepsizeAdaGrad-iter10-dropout |
| Dataset | chunking-0.nounk.noanc |
| Task type | MulticlassClassification |
| Created | 322d14h ago |
| Download | Login required! |
Done! 
| MulticlassClassification | |
| 2h14m | |
| 0.051 | |
| 24s | |
| 0.062 | |
| 13s |
Log file
===== MAIN: learn based on training data =====
=== START program1: ./run learn ../dataset2/train
main() {
Reading examples from ../dataset2/train {
211727 examples, 96901 features, 22 labels
} [10s, cum. 10s]
Iteration 0 {
numMistakes = 41386.60999944444/211727 = 0.195
} [13m25s, cum. 13m36s]
Iteration 1 {
numMistakes = 41131.99999939257/211727 = 0.194
} [13m26s, cum. 27m3s]
Iteration 2 {
numMistakes = 41090.759999384165/211727 = 0.194
} [13m26s, cum. 40m30s]
Iteration 3 {
numMistakes = 41059.69999937784/211727 = 0.194
} [13m26s, cum. 53m57s]
Iteration 4 {
numMistakes = 41025.25999937082/211727 = 0.194
} [13m28s, cum. 1h7m]
Iteration 5 {
numMistakes = 41048.549999375566/211727 = 0.194
} [13m27s, cum. 1h20m]
Iteration 6 {
numMistakes = 41038.65999937355/211727 = 0.194
} [13m27s, cum. 1h34m]
Iteration 7 {
numMistakes = 41002.22999936613/211727 = 0.194
} [13m27s, cum. 1h47m]
Iteration 8 {
numMistakes = 41014.10999936855/211727 = 0.194
} [13m27s, cum. 2h1m]
Iteration 9 {
numMistakes = 41003.26999936634/211727 = 0.194
} [13m27s, cum. 2h14m]
Writing parameters to params [5.6s, cum. 2h14m]
} [2h14m]
=== END program1: ./run learn ../dataset2/train --- OK [8089s]
===== 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 [2s]
=== START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out
main() {
Reading parameters from params [9.8s, cum. 10s]
Reading examples from ../program0/evalTrain.in {
211727 examples, 96901 features, 22 labels
} [8.8s, cum. 18s]
Predicting [4.4s, cum. 23s]
} [23s]
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [24s]
=== START program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out
=== END program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out --- OK [14s]
===== 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 [1s]
=== START program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out
main() {
Reading parameters from params [9.8s, cum. 9.9s]
Reading examples from ../program0/evalTest.in {
47377 examples, 96901 features, 22 labels
} [2.1s, cum. 12s]
Predicting
} [13s]
=== END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [13s]
=== START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out
=== END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [3s]
real 135m48.729s
user 79m21.822s
sys 0m5.344s
Run specification 
Results
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