 | Run 11075 |
| Creator | gchrupala |
| Program | sequor-plain |
| Dataset | chunking-conll2000 |
| Task type | SequenceTagging |
| Created | 28d16h ago |
| Download | Login required! |
Done! 
| 29m58s | |
| 526M | |
| SequenceTagging | |
| 26m33s | |
| 0.987 | |
| 0.978 | |
| 2m18s | |
| 0.953 | |
| 0.927 | |
Log file
===== MAIN: learn based on training data =====
=== START program1: ./run learn ../dataset2/train
Param vector bounds: (I 0 22,I 21 92970)
Iter Train Heldout
1 0.9575 NaN
2 0.9657 NaN
3 0.9708 NaN
4 0.9744 NaN
5 0.9775 NaN
6 0.9799 NaN
7 0.9818 NaN
8 0.9836 NaN
9 0.9852 NaN
10 0.9865 NaN
=== END program1: ./run learn ../dataset2/train --- OK [1593s]
===== 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 [4s]
=== START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [138s]
=== START program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out
=== END program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out --- OK [23s]
===== 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
=== END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [35s]
=== START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out
=== END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [5s]
real 29m58.508s
user 12m47.064s
sys 0m3.216s
Run specification 
Results
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