Neural Interactive Collaborative Filtering

!pip install ipdb

!git clone https://github.com/guyulongcs/SIGIR2020_NICF.git

Cloning into 'SIGIR2020_NICF'...
remote: Enumerating objects: 45, done.
remote: Counting objects: 100% (45/45), done.
remote: Compressing objects: 100% (35/35), done.
remote: Total 45 (delta 7), reused 41 (delta 3), pack-reused 0
Unpacking objects: 100% (45/45), done.

%cd SIGIR2020_NICF/NICF_code

/content/SIGIR2020_NICF/NICF_code

!head data/data/env.dat

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%tensorflow_version 1.x

TensorFlow 1.x selected.

%%writefile run.sh

python ./launch.py -data_path ./data/data/ -environment env -T 40 -ST [5,10,20,40] -agent Train -FA FA -latent_factor 50 \
-learning_rate 0.001 -training_epoch 10 -seed 145 -gpu_no 0 -inner_epoch 50 -rnn_layer 2 -gamma 0.8 -batch 50 -restore_model False

Overwriting run.sh

!sh run.sh

Streaming output truncated to the last 5000 lines.
| 40recall    | 0.0772   |
| 5precision  | 2.38     |
| 5recall     | 0.0132   |
| epoch       | 760      |
| loss        | 0.178    |
| type        | training |
--------------------------
761
5 precision:  2.36
10 precision:  4.16
20 precision:  7.86
40 precision:  14.76
--------------------------
| 10precision | 4.16     |
| 10recall    | 0.0214   |
| 20precision | 7.86     |
| 20recall    | 0.0398   |
| 40precision | 14.8     |
| 40recall    | 0.0732   |
| 5precision  | 2.36     |
| 5recall     | 0.0122   |
| epoch       | 761      |
| loss        | 0.1647   |
| type        | training |
--------------------------
762
5 precision:  2.58
10 precision:  4.88
20 precision:  9.06
40 precision:  15.82
--------------------------
| 10precision | 4.88     |
| 10recall    | 0.0284   |
| 20precision | 9.06     |
| 20recall    | 0.0522   |
| 40precision | 15.8     |
| 40recall    | 0.0881   |
| 5precision  | 2.58     |
| 5recall     | 0.0145   |
| epoch       | 762      |
| loss        | 0.1675   |
| type        | training |
--------------------------
763
5 precision:  2.56
10 precision:  4.74
20 precision:  8.56
40 precision:  15.56
--------------------------
| 10precision | 4.74     |
| 10recall    | 0.026    |
| 20precision | 8.56     |
| 20recall    | 0.0459   |
| 40precision | 15.6     |
| 40recall    | 0.0828   |
| 5precision  | 2.56     |
| 5recall     | 0.0143   |
| epoch       | 763      |
| loss        | 0.1586   |
| type        | training |
--------------------------
764
5 precision:  2.26
10 precision:  4.36
20 precision:  7.86
40 precision:  14.22
--------------------------
| 10precision | 4.36     |
| 10recall    | 0.0252   |
| 20precision | 7.86     |
| 20recall    | 0.0459   |
| 40precision | 14.2     |
| 40recall    | 0.0825   |
| 5precision  | 2.26     |
| 5recall     | 0.0134   |
| epoch       | 764      |
| loss        | 0.1789   |
| type        | training |
--------------------------
765
5 precision:  2.02
10 precision:  4.28
20 precision:  8.0
40 precision:  14.62
--------------------------
| 10precision | 4.28     |
| 10recall    | 0.0228   |
| 20precision | 8        |
| 20recall    | 0.0436   |
| 40precision | 14.6     |
| 40recall    | 0.0789   |
| 5precision  | 2.02     |
| 5recall     | 0.0108   |
| epoch       | 765      |
| loss        | 0.169    |
| type        | training |
--------------------------
766
5 precision:  2.58
10 precision:  4.68
20 precision:  7.96
40 precision:  15.1
--------------------------
| 10precision | 4.68     |
| 10recall    | 0.0273   |
| 20precision | 7.96     |
| 20recall    | 0.0466   |
| 40precision | 15.1     |
| 40recall    | 0.087    |
| 5precision  | 2.58     |
| 5recall     | 0.0153   |
| epoch       | 766      |
| loss        | 0.1627   |
| type        | training |
--------------------------
767
5 precision:  2.56
10 precision:  4.88
20 precision:  8.64
40 precision:  15.24
--------------------------
| 10precision | 4.88     |
| 10recall    | 0.0268   |
| 20precision | 8.64     |
| 20recall    | 0.0477   |
| 40precision | 15.2     |
| 40recall    | 0.083    |
| 5precision  | 2.56     |
| 5recall     | 0.014    |
| epoch       | 767      |
| loss        | 0.1658   |
| type        | training |
--------------------------
768
5 precision:  2.5
10 precision:  4.72
20 precision:  8.74
40 precision:  15.42
--------------------------
| 10precision | 4.72     |
| 10recall    | 0.025    |
| 20precision | 8.74     |
| 20recall    | 0.0438   |
| 40precision | 15.4     |
| 40recall    | 0.0757   |
| 5precision  | 2.5      |
| 5recall     | 0.0131   |
| epoch       | 768      |
| loss        | 0.1912   |
| type        | training |
--------------------------
769
5 precision:  2.42
10 precision:  4.36
20 precision:  7.9
40 precision:  14.26
--------------------------
| 10precision | 4.36     |
| 10recall    | 0.0278   |
| 20precision | 7.9      |
| 20recall    | 0.0498   |
| 40precision | 14.3     |
| 40recall    | 0.0882   |
| 5precision  | 2.42     |
| 5recall     | 0.0153   |
| epoch       | 769      |
| loss        | 0.1785   |
| type        | training |
--------------------------
770
5 precision:  2.62
10 precision:  4.58
20 precision:  8.52
40 precision:  15.22
--------------------------
| 10precision | 4.58     |
| 10recall    | 0.0247   |
| 20precision | 8.52     |
| 20recall    | 0.0468   |
| 40precision | 15.2     |
| 40recall    | 0.0811   |
| 5precision  | 2.62     |
| 5recall     | 0.0144   |
| epoch       | 770      |
| loss        | 0.2177   |
| type        | training |
--------------------------
771
5 precision:  2.52
10 precision:  4.66
20 precision:  8.52
40 precision:  14.78
--------------------------
| 10precision | 4.66     |
| 10recall    | 0.0248   |
| 20precision | 8.52     |
| 20recall    | 0.0437   |
| 40precision | 14.8     |
| 40recall    | 0.0757   |
| 5precision  | 2.52     |
| 5recall     | 0.0137   |
| epoch       | 771      |
| loss        | 0.1864   |
| type        | training |
--------------------------
772
5 precision:  2.5
10 precision:  4.44
20 precision:  7.94
40 precision:  13.94
--------------------------
| 10precision | 4.44     |
| 10recall    | 0.0248   |
| 20precision | 7.94     |
| 20recall    | 0.0435   |
| 40precision | 13.9     |
| 40recall    | 0.0758   |
| 5precision  | 2.5      |
| 5recall     | 0.014    |
| epoch       | 772      |
| loss        | 0.1929   |
| type        | training |
--------------------------
773
5 precision:  2.06
10 precision:  4.08
20 precision:  7.42
40 precision:  13.54
--------------------------
| 10precision | 4.08     |
| 10recall    | 0.0282   |
| 20precision | 7.42     |
| 20recall    | 0.0508   |
| 40precision | 13.5     |
| 40recall    | 0.0915   |
| 5precision  | 2.06     |
| 5recall     | 0.0138   |
| epoch       | 773      |
| loss        | 0.1863   |
| type        | training |
--------------------------
774
5 precision:  2.2
10 precision:  4.06
20 precision:  7.06
40 precision:  12.74
--------------------------
| 10precision | 4.06     |
| 10recall    | 0.0263   |
| 20precision | 7.06     |
| 20recall    | 0.0459   |
| 40precision | 12.7     |
| 40recall    | 0.0823   |
| 5precision  | 2.2      |
| 5recall     | 0.0142   |
| epoch       | 774      |
| loss        | 0.1922   |
| type        | training |
--------------------------
775
5 precision:  2.42
10 precision:  4.38
20 precision:  8.16
40 precision:  14.58
--------------------------
| 10precision | 4.38     |
| 10recall    | 0.0247   |
| 20precision | 8.16     |
| 20recall    | 0.0457   |
| 40precision | 14.6     |
| 40recall    | 0.0811   |
| 5precision  | 2.42     |
| 5recall     | 0.0144   |
| epoch       | 775      |
| loss        | 0.1432   |
| type        | training |
--------------------------
776
5 precision:  2.8
10 precision:  5.02
20 precision:  8.84
40 precision:  15.52
--------------------------
| 10precision | 5.02     |
| 10recall    | 0.0267   |
| 20precision | 8.84     |
| 20recall    | 0.0457   |
| 40precision | 15.5     |
| 40recall    | 0.0786   |
| 5precision  | 2.8      |
| 5recall     | 0.0156   |
| epoch       | 776      |
| loss        | 0.1489   |
| type        | training |
--------------------------
777
5 precision:  2.46
10 precision:  4.66
20 precision:  8.26
40 precision:  14.76
--------------------------
| 10precision | 4.66     |
| 10recall    | 0.0306   |
| 20precision | 8.26     |
| 20recall    | 0.0524   |
| 40precision | 14.8     |
| 40recall    | 0.0927   |
| 5precision  | 2.46     |
| 5recall     | 0.0163   |
| epoch       | 777      |
| loss        | 0.1542   |
| type        | training |
--------------------------
778
5 precision:  2.2
10 precision:  4.22
20 precision:  7.92
40 precision:  14.56
--------------------------
| 10precision | 4.22     |
| 10recall    | 0.0253   |
| 20precision | 7.92     |
| 20recall    | 0.0465   |
| 40precision | 14.6     |
| 40recall    | 0.0844   |
| 5precision  | 2.2      |
| 5recall     | 0.0137   |
| epoch       | 778      |
| loss        | 0.1666   |
| type        | training |
--------------------------
779
5 precision:  2.54
10 precision:  4.34
20 precision:  8.02
40 precision:  14.76
--------------------------
| 10precision | 4.34     |
| 10recall    | 0.0241   |
| 20precision | 8.02     |
| 20recall    | 0.043    |
| 40precision | 14.8     |
| 40recall    | 0.078    |
| 5precision  | 2.54     |
| 5recall     | 0.0148   |
| epoch       | 779      |
| loss        | 0.1552   |
| type        | training |
--------------------------
780
5 precision:  2.54
10 precision:  4.3
20 precision:  7.58
40 precision:  13.62
--------------------------
| 10precision | 4.3      |
| 10recall    | 0.0261   |
| 20precision | 7.58     |
| 20recall    | 0.0449   |
| 40precision | 13.6     |
| 40recall    | 0.0794   |
| 5precision  | 2.54     |
| 5recall     | 0.0159   |
| epoch       | 780      |
| loss        | 0.1574   |
| type        | training |
--------------------------
781
5 precision:  2.5
10 precision:  4.56
20 precision:  8.16
40 precision:  14.58
--------------------------
| 10precision | 4.56     |
| 10recall    | 0.0257   |
| 20precision | 8.16     |
| 20recall    | 0.0451   |
| 40precision | 14.6     |
| 40recall    | 0.0798   |
| 5precision  | 2.5      |
| 5recall     | 0.0145   |
| epoch       | 781      |
| loss        | 0.1778   |
| type        | training |
--------------------------
782
5 precision:  2.54
10 precision:  4.92
20 precision:  8.84
40 precision:  15.18
--------------------------
| 10precision | 4.92     |
| 10recall    | 0.0316   |
| 20precision | 8.84     |
| 20recall    | 0.0554   |
| 40precision | 15.2     |
| 40recall    | 0.0953   |
| 5precision  | 2.54     |
| 5recall     | 0.0166   |
| epoch       | 782      |
| loss        | 0.1609   |
| type        | training |
--------------------------
783
5 precision:  2.64
10 precision:  5.12
20 precision:  9.2
40 precision:  15.94
--------------------------
| 10precision | 5.12     |
| 10recall    | 0.0258   |
| 20precision | 9.2      |
| 20recall    | 0.0462   |
| 40precision | 15.9     |
| 40recall    | 0.0803   |
| 5precision  | 2.64     |
| 5recall     | 0.0134   |
| epoch       | 783      |
| loss        | 0.1823   |
| type        | training |
--------------------------
784
5 precision:  2.3
10 precision:  4.34
20 precision:  7.92
40 precision:  13.62
--------------------------
| 10precision | 4.34     |
| 10recall    | 0.0287   |
| 20precision | 7.92     |
| 20recall    | 0.0526   |
| 40precision | 13.6     |
| 40recall    | 0.0872   |
| 5precision  | 2.3      |
| 5recall     | 0.0156   |
| epoch       | 784      |
| loss        | 0.1696   |
| type        | training |
--------------------------
785
5 precision:  2.74
10 precision:  4.84
20 precision:  8.8
40 precision:  15.78
--------------------------
| 10precision | 4.84     |
| 10recall    | 0.0257   |
| 20precision | 8.8      |
| 20recall    | 0.0472   |
| 40precision | 15.8     |
| 40recall    | 0.084    |
| 5precision  | 2.74     |
| 5recall     | 0.0151   |
| epoch       | 785      |
| loss        | 0.1604   |
| type        | training |
--------------------------
786
5 precision:  2.62
10 precision:  4.76
20 precision:  8.74
40 precision:  15.2
--------------------------
| 10precision | 4.76     |
| 10recall    | 0.0274   |
| 20precision | 8.74     |
| 20recall    | 0.0497   |
| 40precision | 15.2     |
| 40recall    | 0.0852   |
| 5precision  | 2.62     |
| 5recall     | 0.0148   |
| epoch       | 786      |
| loss        | 0.1716   |
| type        | training |
--------------------------
787
5 precision:  2.52
10 precision:  4.58
20 precision:  8.5
40 precision:  15.78
--------------------------
| 10precision | 4.58     |
| 10recall    | 0.0283   |
| 20precision | 8.5      |
| 20recall    | 0.0518   |
| 40precision | 15.8     |
| 40recall    | 0.0927   |
| 5precision  | 2.52     |
| 5recall     | 0.0154   |
| epoch       | 787      |
| loss        | 0.166    |
| type        | training |
--------------------------
788
5 precision:  2.48
10 precision:  4.6
20 precision:  8.32
40 precision:  14.62
--------------------------
| 10precision | 4.6      |
| 10recall    | 0.029    |
| 20precision | 8.32     |
| 20recall    | 0.0525   |
| 40precision | 14.6     |
| 40recall    | 0.0931   |
| 5precision  | 2.48     |
| 5recall     | 0.0152   |
| epoch       | 788      |
| loss        | 0.1705   |
| type        | training |
--------------------------
789
5 precision:  2.6
10 precision:  4.72
20 precision:  8.6
40 precision:  14.68
--------------------------
| 10precision | 4.72     |
| 10recall    | 0.0267   |
| 20precision | 8.6      |
| 20recall    | 0.0477   |
| 40precision | 14.7     |
| 40recall    | 0.0818   |
| 5precision  | 2.6      |
| 5recall     | 0.0144   |
| epoch       | 789      |
| loss        | 0.1879   |
| type        | training |
--------------------------
790
5 precision:  2.46
10 precision:  4.38
20 precision:  8.1
40 precision:  14.04
--------------------------
| 10precision | 4.38     |
| 10recall    | 0.0289   |
| 20precision | 8.1      |
| 20recall    | 0.0524   |
| 40precision | 14       |
| 40recall    | 0.0894   |
| 5precision  | 2.46     |
| 5recall     | 0.0166   |
| epoch       | 790      |
| loss        | 0.1757   |
| type        | training |
--------------------------
791
5 precision:  2.28
10 precision:  4.38
20 precision:  8.1
40 precision:  14.54
--------------------------
| 10precision | 4.38     |
| 10recall    | 0.0285   |
| 20precision | 8.1      |
| 20recall    | 0.0518   |
| 40precision | 14.5     |
| 40recall    | 0.092    |
| 5precision  | 2.28     |
| 5recall     | 0.0143   |
| epoch       | 791      |
| loss        | 0.2024   |
| type        | training |
--------------------------
792
5 precision:  2.4
10 precision:  4.52
20 precision:  8.34
40 precision:  15.18
--------------------------
| 10precision | 4.52     |
| 10recall    | 0.0259   |
| 20precision | 8.34     |
| 20recall    | 0.0479   |
| 40precision | 15.2     |
| 40recall    | 0.086    |
| 5precision  | 2.4      |
| 5recall     | 0.0137   |
| epoch       | 792      |
| loss        | 0.1871   |
| type        | training |
--------------------------
793
5 precision:  2.16
10 precision:  4.32
20 precision:  8.0
40 precision:  13.88
--------------------------
| 10precision | 4.32     |
| 10recall    | 0.0279   |
| 20precision | 8        |
| 20recall    | 0.0493   |
| 40precision | 13.9     |
| 40recall    | 0.0824   |
| 5precision  | 2.16     |
| 5recall     | 0.0145   |
| epoch       | 793      |
| loss        | 0.1527   |
| type        | training |
--------------------------
794
5 precision:  2.38
10 precision:  4.32
20 precision:  7.7
40 precision:  13.9
--------------------------
| 10precision | 4.32     |
| 10recall    | 0.0259   |
| 20precision | 7.7      |
| 20recall    | 0.0453   |
| 40precision | 13.9     |
| 40recall    | 0.0807   |
| 5precision  | 2.38     |
| 5recall     | 0.0146   |
| epoch       | 794      |
| loss        | 0.155    |
| type        | training |
--------------------------
795
5 precision:  2.46
10 precision:  4.52
20 precision:  8.14
40 precision:  14.52
--------------------------
| 10precision | 4.52     |
| 10recall    | 0.0283   |
| 20precision | 8.14     |
| 20recall    | 0.049    |
| 40precision | 14.5     |
| 40recall    | 0.0865   |
| 5precision  | 2.46     |
| 5recall     | 0.0157   |
| epoch       | 795      |
| loss        | 0.1576   |
| type        | training |
--------------------------
796
5 precision:  2.64
10 precision:  4.88
20 precision:  8.82
40 precision:  15.88
--------------------------
| 10precision | 4.88     |
| 10recall    | 0.0285   |
| 20precision | 8.82     |
| 20recall    | 0.0512   |
| 40precision | 15.9     |
| 40recall    | 0.0914   |
| 5precision  | 2.64     |
| 5recall     | 0.0156   |
| epoch       | 796      |
| loss        | 0.1791   |
| type        | training |
--------------------------
797
5 precision:  2.74
10 precision:  5.08
20 precision:  9.9
40 precision:  17.78
--------------------------
| 10precision | 5.08     |
| 10recall    | 0.0253   |
| 20precision | 9.9      |
| 20recall    | 0.0494   |
| 40precision | 17.8     |
| 40recall    | 0.0886   |
| 5precision  | 2.74     |
| 5recall     | 0.0142   |
| epoch       | 797      |
| loss        | 0.1573   |
| type        | training |
--------------------------
798
5 precision:  2.52
10 precision:  4.76
20 precision:  9.12
40 precision:  15.9
--------------------------
| 10precision | 4.76     |
| 10recall    | 0.0269   |
| 20precision | 9.12     |
| 20recall    | 0.0513   |
| 40precision | 15.9     |
| 40recall    | 0.0879   |
| 5precision  | 2.52     |
| 5recall     | 0.014    |
| epoch       | 798      |
| loss        | 0.1716   |
| type        | training |
--------------------------
799
5 precision:  2.54
10 precision:  4.46
20 precision:  8.06
40 precision:  14.96
--------------------------
| 10precision | 4.46     |
| 10recall    | 0.0277   |
| 20precision | 8.06     |
| 20recall    | 0.0492   |
| 40precision | 15       |
| 40recall    | 0.0909   |
| 5precision  | 2.54     |
| 5recall     | 0.0163   |
| epoch       | 799      |
| loss        | 0.1422   |
| type        | training |
--------------------------
800
5 precision:  2.44
10 precision:  4.44
20 precision:  8.34
40 precision:  15.3
--------------------------
| 10precision | 4.44     |
| 10recall    | 0.0275   |
| 20precision | 8.34     |
| 20recall    | 0.0507   |
| 40precision | 15.3     |
| 40recall    | 0.0915   |
| 5precision  | 2.44     |
| 5recall     | 0.0152   |
| epoch       | 800      |
| loss        | 0.1686   |
| type        | training |
--------------------------
5 precision:  3.5
10 precision:  6.0556
20 precision:  11.3333
40 precision:  18.0556
----------------------------
| 10precision | 6.06       |
| 10recall    | 0.0349     |
| 20precision | 11.3       |
| 20recall    | 0.0631     |
| 40precision | 18.1       |
| 40recall    | 0.0983     |
| 5precision  | 3.5        |
| 5recall     | 0.0211     |
| epoch       | 800        |
| type        | validation |
----------------------------
5 precision:  3.3421
10 precision:  6.0526
20 precision:  10.7632
40 precision:  17.2895
----------------------------
| 10precision | 6.05       |
| 10recall    | 0.0353     |
| 20precision | 10.8       |
| 20recall    | 0.0623     |
| 40precision | 17.3       |
| 40recall    | 0.099      |
| 5precision  | 3.34       |
| 5recall     | 0.0201     |
| epoch       | 800        |
| type        | evaluation |
----------------------------
801
5 precision:  2.52
10 precision:  4.4
20 precision:  8.18
40 precision:  14.3
--------------------------
| 10precision | 4.4      |
| 10recall    | 0.0275   |
| 20precision | 8.18     |
| 20recall    | 0.0503   |
| 40precision | 14.3     |
| 40recall    | 0.0876   |
| 5precision  | 2.52     |
| 5recall     | 0.0152   |
| epoch       | 801      |
| loss        | 0.1573   |
| type        | training |
--------------------------
802
5 precision:  2.58
10 precision:  4.74
20 precision:  8.34
40 precision:  14.58
--------------------------
| 10precision | 4.74     |
| 10recall    | 0.0291   |
| 20precision | 8.34     |
| 20recall    | 0.0495   |
| 40precision | 14.6     |
| 40recall    | 0.0849   |
| 5precision  | 2.58     |
| 5recall     | 0.0156   |
| epoch       | 802      |
| loss        | 0.1782   |
| type        | training |
--------------------------
803
5 precision:  2.44
10 precision:  4.28
20 precision:  8.08
40 precision:  15.24
--------------------------
| 10precision | 4.28     |
| 10recall    | 0.0234   |
| 20precision | 8.08     |
| 20recall    | 0.0434   |
| 40precision | 15.2     |
| 40recall    | 0.0822   |
| 5precision  | 2.44     |
| 5recall     | 0.014    |
| epoch       | 803      |
| loss        | 0.1513   |
| type        | training |
--------------------------
804
5 precision:  2.38
10 precision:  4.6
20 precision:  8.5
40 precision:  15.3
--------------------------
| 10precision | 4.6      |
| 10recall    | 0.0277   |
| 20precision | 8.5      |
| 20recall    | 0.0494   |
| 40precision | 15.3     |
| 40recall    | 0.0888   |
| 5precision  | 2.38     |
| 5recall     | 0.0146   |
| epoch       | 804      |
| loss        | 0.1524   |
| type        | training |
--------------------------
805
5 precision:  2.22
10 precision:  4.08
20 precision:  7.74
40 precision:  13.48
--------------------------
| 10precision | 4.08     |
| 10recall    | 0.0253   |
| 20precision | 7.74     |
| 20recall    | 0.0475   |
| 40precision | 13.5     |
| 40recall    | 0.0809   |
| 5precision  | 2.22     |
| 5recall     | 0.0141   |
| epoch       | 805      |
| loss        | 0.1667   |
| type        | training |
--------------------------
806
5 precision:  2.52
10 precision:  4.56
20 precision:  8.4
40 precision:  14.2
--------------------------
| 10precision | 4.56     |
| 10recall    | 0.0307   |
| 20precision | 8.4      |
| 20recall    | 0.055    |
| 40precision | 14.2     |
| 40recall    | 0.0902   |
| 5precision  | 2.52     |
| 5recall     | 0.0163   |
| epoch       | 806      |
| loss        | 0.1905   |
| type        | training |
--------------------------
807
5 precision:  2.54
10 precision:  4.36
20 precision:  8.1
40 precision:  14.56
--------------------------
| 10precision | 4.36     |
| 10recall    | 0.0271   |
| 20precision | 8.1      |
| 20recall    | 0.0501   |
| 40precision | 14.6     |
| 40recall    | 0.0899   |
| 5precision  | 2.54     |
| 5recall     | 0.0161   |
| epoch       | 807      |
| loss        | 0.1988   |
| type        | training |
--------------------------
808
5 precision:  2.32
10 precision:  4.1
20 precision:  7.66
40 precision:  13.24
--------------------------
| 10precision | 4.1      |
| 10recall    | 0.025    |
| 20precision | 7.66     |
| 20recall    | 0.0477   |
| 40precision | 13.2     |
| 40recall    | 0.0812   |
| 5precision  | 2.32     |
| 5recall     | 0.014    |
| epoch       | 808      |
| loss        | 0.1537   |
| type        | training |
--------------------------
809
5 precision:  2.36
10 precision:  4.5
20 precision:  8.18
40 precision:  13.84
--------------------------
| 10precision | 4.5      |
| 10recall    | 0.0297   |
| 20precision | 8.18     |
| 20recall    | 0.0536   |
| 40precision | 13.8     |
| 40recall    | 0.0891   |
| 5precision  | 2.36     |
| 5recall     | 0.0158   |
| epoch       | 809      |
| loss        | 0.1735   |
| type        | training |
--------------------------
810
5 precision:  2.66
10 precision:  4.54
20 precision:  8.36
40 precision:  15.06
--------------------------
| 10precision | 4.54     |
| 10recall    | 0.0269   |
| 20precision | 8.36     |
| 20recall    | 0.0475   |
| 40precision | 15.1     |
| 40recall    | 0.0845   |
| 5precision  | 2.66     |
| 5recall     | 0.0158   |
| epoch       | 810      |
| loss        | 0.1764   |
| type        | training |
--------------------------
811
5 precision:  2.4
10 precision:  4.4
20 precision:  7.98
40 precision:  14.34
--------------------------
| 10precision | 4.4      |
| 10recall    | 0.0304   |
| 20precision | 7.98     |
| 20recall    | 0.0529   |
| 40precision | 14.3     |
| 40recall    | 0.0938   |
| 5precision  | 2.4      |
| 5recall     | 0.0165   |
| epoch       | 811      |
| loss        | 0.1721   |
| type        | training |
--------------------------
812
5 precision:  2.54
10 precision:  4.52
20 precision:  8.32
40 precision:  14.9
--------------------------
| 10precision | 4.52     |
| 10recall    | 0.0259   |
| 20precision | 8.32     |
| 20recall    | 0.0474   |
| 40precision | 14.9     |
| 40recall    | 0.0835   |
| 5precision  | 2.54     |
| 5recall     | 0.0149   |
| epoch       | 812      |
| loss        | 0.1635   |
| type        | training |
--------------------------
813
5 precision:  2.36
10 precision:  4.6
20 precision:  8.9
40 precision:  15.46
--------------------------
| 10precision | 4.6      |
| 10recall    | 0.0276   |
| 20precision | 8.9      |
| 20recall    | 0.052    |
| 40precision | 15.5     |
| 40recall    | 0.0905   |
| 5precision  | 2.36     |
| 5recall     | 0.0139   |
| epoch       | 813      |
| loss        | 0.1593   |
| type        | training |
--------------------------
814
5 precision:  2.52
10 precision:  4.44
20 precision:  8.0
40 precision:  14.1
--------------------------
| 10precision | 4.44     |
| 10recall    | 0.0255   |
| 20precision | 8        |
| 20recall    | 0.044    |
| 40precision | 14.1     |
| 40recall    | 0.079    |
| 5precision  | 2.52     |
| 5recall     | 0.0149   |
| epoch       | 814      |
| loss        | 0.1859   |
| type        | training |
--------------------------
815
5 precision:  2.52
10 precision:  4.6
20 precision:  8.28
40 precision:  14.38
--------------------------
| 10precision | 4.6      |
| 10recall    | 0.0267   |
| 20precision | 8.28     |
| 20recall    | 0.0474   |
| 40precision | 14.4     |
| 40recall    | 0.0812   |
| 5precision  | 2.52     |
| 5recall     | 0.015    |
| epoch       | 815      |
| loss        | 0.1897   |
| type        | training |
--------------------------
816
5 precision:  2.28
10 precision:  4.3
20 precision:  7.64
40 precision:  13.66
--------------------------
| 10precision | 4.3      |
| 10recall    | 0.0293   |
| 20precision | 7.64     |
| 20recall    | 0.0505   |
| 40precision | 13.7     |
| 40recall    | 0.0888   |
| 5precision  | 2.28     |
| 5recall     | 0.0156   |
| epoch       | 816      |
| loss        | 0.1706   |
| type        | training |
--------------------------
817
5 precision:  2.8
10 precision:  4.88
20 precision:  8.76
40 precision:  14.56
--------------------------
| 10precision | 4.88     |
| 10recall    | 0.03     |
| 20precision | 8.76     |
| 20recall    | 0.0519   |
| 40precision | 14.6     |
| 40recall    | 0.0863   |
| 5precision  | 2.8      |
| 5recall     | 0.0182   |
| epoch       | 817      |
| loss        | 0.1592   |
| type        | training |
--------------------------
818
5 precision:  3.0
10 precision:  5.16
20 precision:  9.0
40 precision:  16.24
--------------------------
| 10precision | 5.16     |
| 10recall    | 0.0276   |
| 20precision | 9        |
| 20recall    | 0.0472   |
| 40precision | 16.2     |
| 40recall    | 0.0841   |
| 5precision  | 3        |
| 5recall     | 0.0165   |
| epoch       | 818      |
| loss        | 0.1516   |
| type        | training |
--------------------------
819
5 precision:  2.36
10 precision:  4.38
20 precision:  8.0
40 precision:  14.52
--------------------------
| 10precision | 4.38     |
| 10recall    | 0.0282   |
| 20precision | 8        |
| 20recall    | 0.05     |
| 40precision | 14.5     |
| 40recall    | 0.089    |
| 5precision  | 2.36     |
| 5recall     | 0.0151   |
| epoch       | 819      |
| loss        | 0.173    |
| type        | training |
--------------------------
820
5 precision:  3.02
10 precision:  5.08
20 precision:  8.94
40 precision:  16.02
--------------------------
| 10precision | 5.08     |
| 10recall    | 0.0277   |
| 20precision | 8.94     |
| 20recall    | 0.047    |
| 40precision | 16       |
| 40recall    | 0.0834   |
| 5precision  | 3.02     |
| 5recall     | 0.0164   |
| epoch       | 820      |
| loss        | 0.1478   |
| type        | training |
--------------------------
821
5 precision:  2.38
10 precision:  4.5
20 precision:  8.08
40 precision:  14.1
--------------------------
| 10precision | 4.5      |
| 10recall    | 0.0268   |
| 20precision | 8.08     |
| 20recall    | 0.048    |
| 40precision | 14.1     |
| 40recall    | 0.0837   |
| 5precision  | 2.38     |
| 5recall     | 0.0141   |
| epoch       | 821      |
| loss        | 0.1465   |
| type        | training |
--------------------------
822
5 precision:  2.3
10 precision:  4.22
20 precision:  7.74
40 precision:  13.8
--------------------------
| 10precision | 4.22     |
| 10recall    | 0.0278   |
| 20precision | 7.74     |
| 20recall    | 0.0501   |
| 40precision | 13.8     |
| 40recall    | 0.0891   |
| 5precision  | 2.3      |
| 5recall     | 0.0158   |
| epoch       | 822      |
| loss        | 0.1773   |
| type        | training |
--------------------------
823
5 precision:  2.36
10 precision:  4.54
20 precision:  8.28
40 precision:  14.94
--------------------------
| 10precision | 4.54     |
| 10recall    | 0.0285   |
| 20precision | 8.28     |
| 20recall    | 0.0508   |
| 40precision | 14.9     |
| 40recall    | 0.0897   |
| 5precision  | 2.36     |
| 5recall     | 0.0148   |
| epoch       | 823      |
| loss        | 0.1489   |
| type        | training |
--------------------------
824
5 precision:  2.48
10 precision:  4.58
20 precision:  7.94
40 precision:  13.94
--------------------------
| 10precision | 4.58     |
| 10recall    | 0.0291   |
| 20precision | 7.94     |
| 20recall    | 0.0488   |
| 40precision | 13.9     |
| 40recall    | 0.0864   |
| 5precision  | 2.48     |
| 5recall     | 0.0161   |
| epoch       | 824      |
| loss        | 0.1608   |
| type        | training |
--------------------------
825
5 precision:  2.4
10 precision:  4.7
20 precision:  8.54
40 precision:  14.74
--------------------------
| 10precision | 4.7      |
| 10recall    | 0.0273   |
| 20precision | 8.54     |
| 20recall    | 0.0493   |
| 40precision | 14.7     |
| 40recall    | 0.0826   |
| 5precision  | 2.4      |
| 5recall     | 0.0138   |
| epoch       | 825      |
| loss        | 0.1422   |
| type        | training |
--------------------------
826
5 precision:  2.4
10 precision:  4.42
20 precision:  8.58
40 precision:  14.82
--------------------------
| 10precision | 4.42     |
| 10recall    | 0.0267   |
| 20precision | 8.58     |
| 20recall    | 0.0508   |
| 40precision | 14.8     |
| 40recall    | 0.0868   |
| 5precision  | 2.4      |
| 5recall     | 0.0143   |
| epoch       | 826      |
| loss        | 0.1515   |
| type        | training |
--------------------------
827
5 precision:  2.36
10 precision:  4.26
20 precision:  7.38
40 precision:  13.52
--------------------------
| 10precision | 4.26     |
| 10recall    | 0.0269   |
| 20precision | 7.38     |
| 20recall    | 0.047    |
| 40precision | 13.5     |
| 40recall    | 0.0846   |
| 5precision  | 2.36     |
| 5recall     | 0.0149   |
| epoch       | 827      |
| loss        | 0.1606   |
| type        | training |
--------------------------
828
5 precision:  2.34
10 precision:  4.28
20 precision:  7.8
40 precision:  14.72
--------------------------
| 10precision | 4.28     |
| 10recall    | 0.0251   |
| 20precision | 7.8      |
| 20recall    | 0.0448   |
| 40precision | 14.7     |
| 40recall    | 0.0838   |
| 5precision  | 2.34     |
| 5recall     | 0.0141   |
| epoch       | 828      |
| loss        | 0.1663   |
| type        | training |
--------------------------
829
5 precision:  2.4
10 precision:  4.28
20 precision:  8.4
40 precision:  14.76
--------------------------
| 10precision | 4.28     |
| 10recall    | 0.0247   |
| 20precision | 8.4      |
| 20recall    | 0.0467   |
| 40precision | 14.8     |
| 40recall    | 0.0833   |
| 5precision  | 2.4      |
| 5recall     | 0.0137   |
| epoch       | 829      |
| loss        | 0.188    |
| type        | training |
--------------------------
830
5 precision:  2.72
10 precision:  4.92
20 precision:  8.96
40 precision:  16.84
--------------------------
| 10precision | 4.92     |
| 10recall    | 0.0283   |
| 20precision | 8.96     |
| 20recall    | 0.0514   |
| 40precision | 16.8     |
| 40recall    | 0.0957   |
| 5precision  | 2.72     |
| 5recall     | 0.0156   |
| epoch       | 830      |
| loss        | 0.139    |
| type        | training |
--------------------------
831
5 precision:  2.52
10 precision:  5.08
20 precision:  8.92
40 precision:  15.52
--------------------------
| 10precision | 5.08     |
| 10recall    | 0.027    |
| 20precision | 8.92     |
| 20recall    | 0.0459   |
| 40precision | 15.5     |
| 40recall    | 0.0793   |
| 5precision  | 2.52     |
| 5recall     | 0.0132   |
| epoch       | 831      |
| loss        | 0.1697   |
| type        | training |
--------------------------
832
5 precision:  2.42
10 precision:  4.6
20 precision:  8.92
40 precision:  15.9
--------------------------
| 10precision | 4.6      |
| 10recall    | 0.028    |
| 20precision | 8.92     |
| 20recall    | 0.0524   |
| 40precision | 15.9     |
| 40recall    | 0.0926   |
| 5precision  | 2.42     |
| 5recall     | 0.0148   |
| epoch       | 832      |
| loss        | 0.193    |
| type        | training |
--------------------------
833
5 precision:  2.58
10 precision:  4.74
20 precision:  8.4
40 precision:  14.84
--------------------------
| 10precision | 4.74     |
| 10recall    | 0.0321   |
| 20precision | 8.4      |
| 20recall    | 0.0569   |
| 40precision | 14.8     |
| 40recall    | 0.0981   |
| 5precision  | 2.58     |
| 5recall     | 0.0176   |
| epoch       | 833      |
| loss        | 0.1757   |
| type        | training |
--------------------------
834
5 precision:  2.68
10 precision:  4.88
20 precision:  8.68
40 precision:  15.58
--------------------------
| 10precision | 4.88     |
| 10recall    | 0.0277   |
| 20precision | 8.68     |
| 20recall    | 0.0492   |
| 40precision | 15.6     |
| 40recall    | 0.0875   |
| 5precision  | 2.68     |
| 5recall     | 0.0155   |
| epoch       | 834      |
| loss        | 0.1659   |
| type        | training |
--------------------------
835
5 precision:  2.62
10 precision:  4.74
20 precision:  8.72
40 precision:  15.48
--------------------------
| 10precision | 4.74     |
| 10recall    | 0.0268   |
| 20precision | 8.72     |
| 20recall    | 0.0478   |
| 40precision | 15.5     |
| 40recall    | 0.0846   |
| 5precision  | 2.62     |
| 5recall     | 0.0148   |
| epoch       | 835      |
| loss        | 0.1582   |
| type        | training |
--------------------------
836
5 precision:  2.62
10 precision:  4.64
20 precision:  8.26
40 precision:  14.14
--------------------------
| 10precision | 4.64     |
| 10recall    | 0.0268   |
| 20precision | 8.26     |
| 20recall    | 0.0472   |
| 40precision | 14.1     |
| 40recall    | 0.0802   |
| 5precision  | 2.62     |
| 5recall     | 0.0154   |
| epoch       | 836      |
| loss        | 0.1797   |
| type        | training |
--------------------------
837
5 precision:  2.58
10 precision:  4.72
20 precision:  8.78
40 precision:  15.66
--------------------------
| 10precision | 4.72     |
| 10recall    | 0.0274   |
| 20precision | 8.78     |
| 20recall    | 0.051    |
| 40precision | 15.7     |
| 40recall    | 0.0907   |
| 5precision  | 2.58     |
| 5recall     | 0.0148   |
| epoch       | 837      |
| loss        | 0.1636   |
| type        | training |
--------------------------
838
5 precision:  2.4
10 precision:  4.62
20 precision:  8.7
40 precision:  15.7
--------------------------
| 10precision | 4.62     |
| 10recall    | 0.0276   |
| 20precision | 8.7      |
| 20recall    | 0.0511   |
| 40precision | 15.7     |
| 40recall    | 0.0894   |
| 5precision  | 2.4      |
| 5recall     | 0.0135   |
| epoch       | 838      |
| loss        | 0.1674   |
| type        | training |
--------------------------
839
5 precision:  2.42
10 precision:  4.72
20 precision:  8.86
40 precision:  15.5
--------------------------
| 10precision | 4.72     |
| 10recall    | 0.0249   |
| 20precision | 8.86     |
| 20recall    | 0.0463   |
| 40precision | 15.5     |
| 40recall    | 0.0804   |
| 5precision  | 2.42     |
| 5recall     | 0.0131   |
| epoch       | 839      |
| loss        | 0.1694   |
| type        | training |
--------------------------
840
5 precision:  2.36
10 precision:  4.3
20 precision:  7.86
40 precision:  14.46
--------------------------
| 10precision | 4.3      |
| 10recall    | 0.0237   |
| 20precision | 7.86     |
| 20recall    | 0.0435   |
| 40precision | 14.5     |
| 40recall    | 0.0812   |
| 5precision  | 2.36     |
| 5recall     | 0.0133   |
| epoch       | 840      |
| loss        | 0.1743   |
| type        | training |
--------------------------
841
5 precision:  2.58
10 precision:  4.34
20 precision:  8.46
40 precision:  15.06
--------------------------
| 10precision | 4.34     |
| 10recall    | 0.0252   |
| 20precision | 8.46     |
| 20recall    | 0.0488   |
| 40precision | 15.1     |
| 40recall    | 0.0856   |
| 5precision  | 2.58     |
| 5recall     | 0.015    |
| epoch       | 841      |
| loss        | 0.1855   |
| type        | training |
--------------------------
842
5 precision:  2.5
10 precision:  4.5
20 precision:  8.1
40 precision:  13.78
--------------------------
| 10precision | 4.5      |
| 10recall    | 0.029    |
| 20precision | 8.1      |
| 20recall    | 0.0511   |
| 40precision | 13.8     |
| 40recall    | 0.088    |
| 5precision  | 2.5      |
| 5recall     | 0.0165   |
| epoch       | 842      |
| loss        | 0.1917   |
| type        | training |
--------------------------
843
5 precision:  2.6
10 precision:  4.7
20 precision:  8.28
40 precision:  14.48
--------------------------
| 10precision | 4.7      |
| 10recall    | 0.0295   |
| 20precision | 8.28     |
| 20recall    | 0.0505   |
| 40precision | 14.5     |
| 40recall    | 0.0882   |
| 5precision  | 2.6      |
| 5recall     | 0.0166   |
| epoch       | 843      |
| loss        | 0.1765   |
| type        | training |
--------------------------
844
5 precision:  2.68
10 precision:  4.62
20 precision:  8.54
40 precision:  15.58
--------------------------
| 10precision | 4.62     |
| 10recall    | 0.0276   |
| 20precision | 8.54     |
| 20recall    | 0.0518   |
| 40precision | 15.6     |
| 40recall    | 0.0922   |
| 5precision  | 2.68     |
| 5recall     | 0.0169   |
| epoch       | 844      |
| loss        | 0.1496   |
| type        | training |
--------------------------
845
5 precision:  2.38
10 precision:  4.3
20 precision:  7.58
40 precision:  13.94
--------------------------
| 10precision | 4.3      |
| 10recall    | 0.0275   |
| 20precision | 7.58     |
| 20recall    | 0.0483   |
| 40precision | 13.9     |
| 40recall    | 0.0882   |
| 5precision  | 2.38     |
| 5recall     | 0.0148   |
| epoch       | 845      |
| loss        | 0.2253   |
| type        | training |
--------------------------
846
5 precision:  2.78
10 precision:  4.6
20 precision:  8.84
40 precision:  15.38
--------------------------
| 10precision | 4.6      |
| 10recall    | 0.0259   |
| 20precision | 8.84     |
| 20recall    | 0.0487   |
| 40precision | 15.4     |
| 40recall    | 0.083    |
| 5precision  | 2.78     |
| 5recall     | 0.0161   |
| epoch       | 846      |
| loss        | 0.1757   |
| type        | training |
--------------------------
847
5 precision:  2.66
10 precision:  4.76
20 precision:  8.76
40 precision:  15.28
--------------------------
| 10precision | 4.76     |
| 10recall    | 0.0223   |
| 20precision | 8.76     |
| 20recall    | 0.0412   |
| 40precision | 15.3     |
| 40recall    | 0.0699   |
| 5precision  | 2.66     |
| 5recall     | 0.0131   |
| epoch       | 847      |
| loss        | 0.2013   |
| type        | training |
--------------------------
848
5 precision:  2.66
10 precision:  4.54
20 precision:  8.3
40 precision:  14.44
--------------------------
| 10precision | 4.54     |
| 10recall    | 0.0271   |
| 20precision | 8.3      |
| 20recall    | 0.0487   |
| 40precision | 14.4     |
| 40recall    | 0.0842   |
| 5precision  | 2.66     |
| 5recall     | 0.0158   |
| epoch       | 848      |
| loss        | 0.1646   |
| type        | training |
--------------------------
849
5 precision:  2.8
10 precision:  4.86
20 precision:  9.06
40 precision:  16.32
--------------------------
| 10precision | 4.86     |
| 10recall    | 0.0264   |
| 20precision | 9.06     |
| 20recall    | 0.0488   |
| 40precision | 16.3     |
| 40recall    | 0.0862   |
| 5precision  | 2.8      |
| 5recall     | 0.0155   |
| epoch       | 849      |
| loss        | 0.1713   |
| type        | training |
--------------------------
850
5 precision:  2.48
10 precision:  4.46
20 precision:  8.52
40 precision:  15.46
--------------------------
| 10precision | 4.46     |
| 10recall    | 0.0242   |
| 20precision | 8.52     |
| 20recall    | 0.0451   |
| 40precision | 15.5     |
| 40recall    | 0.0817   |
| 5precision  | 2.48     |
| 5recall     | 0.0134   |
| epoch       | 850      |
| loss        | 0.163    |
| type        | training |
--------------------------
851
5 precision:  2.58
10 precision:  4.64
20 precision:  8.66
40 precision:  16.38
--------------------------
| 10precision | 4.64     |
| 10recall    | 0.0234   |
| 20precision | 8.66     |
| 20recall    | 0.0445   |
| 40precision | 16.4     |
| 40recall    | 0.0827   |
| 5precision  | 2.58     |
| 5recall     | 0.0137   |
| epoch       | 851      |
| loss        | 0.1858   |
| type        | training |
--------------------------
852
5 precision:  2.66
10 precision:  4.62
20 precision:  7.78
40 precision:  13.9
--------------------------
| 10precision | 4.62     |
| 10recall    | 0.0299   |
| 20precision | 7.78     |
| 20recall    | 0.0504   |
| 40precision | 13.9     |
| 40recall    | 0.0885   |
| 5precision  | 2.66     |
| 5recall     | 0.0172   |
| epoch       | 852      |
| loss        | 0.189    |
| type        | training |
--------------------------
853
5 precision:  2.52
10 precision:  4.68
20 precision:  8.48
40 precision:  14.64
--------------------------
| 10precision | 4.68     |
| 10recall    | 0.0273   |
| 20precision | 8.48     |
| 20recall    | 0.0479   |
| 40precision | 14.6     |
| 40recall    | 0.0822   |
| 5precision  | 2.52     |
| 5recall     | 0.0141   |
| epoch       | 853      |
| loss        | 0.1861   |
| type        | training |
--------------------------
854
5 precision:  2.68
10 precision:  4.7
20 precision:  8.6
40 precision:  15.68
--------------------------
| 10precision | 4.7      |
| 10recall    | 0.031    |
| 20precision | 8.6      |
| 20recall    | 0.0564   |
| 40precision | 15.7     |
| 40recall    | 0.1      |
| 5precision  | 2.68     |
| 5recall     | 0.0178   |
| epoch       | 854      |
| loss        | 0.1799   |
| type        | training |
--------------------------
855
5 precision:  2.04
10 precision:  4.14
20 precision:  7.96
40 precision:  14.64
--------------------------
| 10precision | 4.14     |
| 10recall    | 0.0225   |
| 20precision | 7.96     |
| 20recall    | 0.0424   |
| 40precision | 14.6     |
| 40recall    | 0.0766   |
| 5precision  | 2.04     |
| 5recall     | 0.0115   |
| epoch       | 855      |
| loss        | 0.1604   |
| type        | training |
--------------------------
856
5 precision:  2.38
10 precision:  4.38
20 precision:  8.28
40 precision:  14.9
--------------------------
| 10precision | 4.38     |
| 10recall    | 0.0257   |
| 20precision | 8.28     |
| 20recall    | 0.048    |
| 40precision | 14.9     |
| 40recall    | 0.086    |
| 5precision  | 2.38     |
| 5recall     | 0.0139   |
| epoch       | 856      |
| loss        | 0.1636   |
| type        | training |
--------------------------
857
5 precision:  2.7
10 precision:  5.04
20 precision:  9.1
40 precision:  16.16
--------------------------
| 10precision | 5.04     |
| 10recall    | 0.0272   |
| 20precision | 9.1      |
| 20recall    | 0.0489   |
| 40precision | 16.2     |
| 40recall    | 0.0863   |
| 5precision  | 2.7      |
| 5recall     | 0.015    |
| epoch       | 857      |
| loss        | 0.1466   |
| type        | training |
--------------------------
858
5 precision:  2.44
10 precision:  4.72
20 precision:  8.12
40 precision:  14.92
--------------------------
| 10precision | 4.72     |
| 10recall    | 0.0245   |
| 20precision | 8.12     |
| 20recall    | 0.0428   |
| 40precision | 14.9     |
| 40recall    | 0.0791   |
| 5precision  | 2.44     |
| 5recall     | 0.0126   |
| epoch       | 858      |
| loss        | 0.1733   |
| type        | training |
--------------------------
859
5 precision:  2.74
10 precision:  5.0
20 precision:  9.02
40 precision:  15.72
--------------------------
| 10precision | 5        |
| 10recall    | 0.0288   |
| 20precision | 9.02     |
| 20recall    | 0.0518   |
| 40precision | 15.7     |
| 40recall    | 0.0889   |
| 5precision  | 2.74     |
| 5recall     | 0.0162   |
| epoch       | 859      |
| loss        | 0.1781   |
| type        | training |
--------------------------
860
5 precision:  2.4
10 precision:  4.5
20 precision:  8.72
40 precision:  15.04
--------------------------
| 10precision | 4.5      |
| 10recall    | 0.0263   |
| 20precision | 8.72     |
| 20recall    | 0.0512   |
| 40precision | 15       |
| 40recall    | 0.088    |
| 5precision  | 2.4      |
| 5recall     | 0.0138   |
| epoch       | 860      |
| loss        | 0.174    |
| type        | training |
--------------------------
861
5 precision:  2.86
10 precision:  4.8
20 precision:  8.5
40 precision:  15.56
--------------------------
| 10precision | 4.8      |
| 10recall    | 0.028    |
| 20precision | 8.5      |
| 20recall    | 0.0493   |
| 40precision | 15.6     |
| 40recall    | 0.0883   |
| 5precision  | 2.86     |
| 5recall     | 0.017    |
| epoch       | 861      |
| loss        | 0.1594   |
| type        | training |
--------------------------
862
5 precision:  2.36
10 precision:  4.16
20 precision:  7.4
40 precision:  12.9
--------------------------
| 10precision | 4.16     |
| 10recall    | 0.0277   |
| 20precision | 7.4      |
| 20recall    | 0.0484   |
| 40precision | 12.9     |
| 40recall    | 0.0836   |
| 5precision  | 2.36     |
| 5recall     | 0.0159   |
| epoch       | 862      |
| loss        | 0.1673   |
| type        | training |
--------------------------
863
5 precision:  2.34
10 precision:  4.18
20 precision:  7.64
40 precision:  14.6
--------------------------
| 10precision | 4.18     |
| 10recall    | 0.026    |
| 20precision | 7.64     |
| 20recall    | 0.0464   |
| 40precision | 14.6     |
| 40recall    | 0.0868   |
| 5precision  | 2.34     |
| 5recall     | 0.0145   |
| epoch       | 863      |
| loss        | 0.1442   |
| type        | training |
--------------------------
864
5 precision:  2.54
10 precision:  4.78
20 precision:  8.46
40 precision:  15.18
--------------------------
| 10precision | 4.78     |
| 10recall    | 0.0272   |
| 20precision | 8.46     |
| 20recall    | 0.0476   |
| 40precision | 15.2     |
| 40recall    | 0.0855   |
| 5precision  | 2.54     |
| 5recall     | 0.0146   |
| epoch       | 864      |
| loss        | 0.1733   |
| type        | training |
--------------------------
865
5 precision:  2.48
10 precision:  4.2
20 precision:  7.7
40 precision:  13.64
--------------------------
| 10precision | 4.2      |
| 10recall    | 0.0283   |
| 20precision | 7.7      |
| 20recall    | 0.0504   |
| 40precision | 13.6     |
| 40recall    | 0.089    |
| 5precision  | 2.48     |
| 5recall     | 0.0167   |
| epoch       | 865      |
| loss        | 0.1701   |
| type        | training |
--------------------------
866
5 precision:  2.26
10 precision:  4.34
20 precision:  8.54
40 precision:  15.96
--------------------------
| 10precision | 4.34     |
| 10recall    | 0.024    |
| 20precision | 8.54     |
| 20recall    | 0.0479   |
| 40precision | 16       |
| 40recall    | 0.0877   |
| 5precision  | 2.26     |
| 5recall     | 0.0123   |
| epoch       | 866      |
| loss        | 0.1559   |
| type        | training |
--------------------------
867
5 precision:  2.46
10 precision:  4.54
20 precision:  8.18
40 precision:  14.32
--------------------------
| 10precision | 4.54     |
| 10recall    | 0.0279   |
| 20precision | 8.18     |
| 20recall    | 0.0515   |
| 40precision | 14.3     |
| 40recall    | 0.0882   |
| 5precision  | 2.46     |
| 5recall     | 0.0159   |
| epoch       | 867      |
| loss        | 0.176    |
| type        | training |
--------------------------
868
5 precision:  2.7
10 precision:  4.64
20 precision:  8.54
40 precision:  15.52
--------------------------
| 10precision | 4.64     |
| 10recall    | 0.0265   |
| 20precision | 8.54     |
| 20recall    | 0.049    |
| 40precision | 15.5     |
| 40recall    | 0.0865   |
| 5precision  | 2.7      |
| 5recall     | 0.0158   |
| epoch       | 868      |
| loss        | 0.1806   |
| type        | training |
--------------------------
869
5 precision:  2.16
10 precision:  4.46
20 precision:  8.6
40 precision:  15.0
--------------------------
| 10precision | 4.46     |
| 10recall    | 0.0243   |
| 20precision | 8.6      |
| 20recall    | 0.046    |
| 40precision | 15       |
| 40recall    | 0.0797   |
| 5precision  | 2.16     |
| 5recall     | 0.0116   |
| epoch       | 869      |
| loss        | 0.1909   |
| type        | training |
--------------------------
870
5 precision:  2.6
10 precision:  4.74
20 precision:  8.42
40 precision:  14.98
--------------------------
| 10precision | 4.74     |
| 10recall    | 0.0301   |
| 20precision | 8.42     |
| 20recall    | 0.0518   |
| 40precision | 15       |
| 40recall    | 0.0902   |
| 5precision  | 2.6      |
| 5recall     | 0.0168   |
| epoch       | 870      |
| loss        | 0.181    |
| type        | training |
--------------------------
871
5 precision:  2.78
10 precision:  5.2
20 precision:  9.66
40 precision:  17.08
--------------------------
| 10precision | 5.2      |
| 10recall    | 0.0268   |
| 20precision | 9.66     |
| 20recall    | 0.0503   |
| 40precision | 17.1     |
| 40recall    | 0.0877   |
| 5precision  | 2.78     |
| 5recall     | 0.0149   |
| epoch       | 871      |
| loss        | 0.1739   |
| type        | training |
--------------------------
872
5 precision:  2.84
10 precision:  5.22
20 precision:  9.16
40 precision:  16.86
--------------------------
| 10precision | 5.22     |
| 10recall    | 0.0295   |
| 20precision | 9.16     |
| 20recall    | 0.0509   |
| 40precision | 16.9     |
| 40recall    | 0.0927   |
| 5precision  | 2.84     |
| 5recall     | 0.0165   |
| epoch       | 872      |
| loss        | 0.1598   |
| type        | training |
--------------------------
873
5 precision:  2.68
10 precision:  4.92
20 precision:  8.98
40 precision:  15.62
--------------------------
| 10precision | 4.92     |
| 10recall    | 0.0271   |
| 20precision | 8.98     |
| 20recall    | 0.0486   |
| 40precision | 15.6     |
| 40recall    | 0.0835   |
| 5precision  | 2.68     |
| 5recall     | 0.0148   |
| epoch       | 873      |
| loss        | 0.1752   |
| type        | training |
--------------------------
874
5 precision:  2.66
10 precision:  4.86
20 precision:  8.86
40 precision:  15.88
--------------------------
| 10precision | 4.86     |
| 10recall    | 0.0256   |
| 20precision | 8.86     |
| 20recall    | 0.0475   |
| 40precision | 15.9     |
| 40recall    | 0.0844   |
| 5precision  | 2.66     |
| 5recall     | 0.0136   |
| epoch       | 874      |
| loss        | 0.171    |
| type        | training |
--------------------------
875
5 precision:  2.26
10 precision:  4.66
20 precision:  8.58
40 precision:  15.42
--------------------------
| 10precision | 4.66     |
| 10recall    | 0.029    |
| 20precision | 8.58     |
| 20recall    | 0.051    |
| 40precision | 15.4     |
| 40recall    | 0.0909   |
| 5precision  | 2.26     |
| 5recall     | 0.0139   |
| epoch       | 875      |
| loss        | 0.1823   |
| type        | training |
--------------------------
876
5 precision:  2.62
10 precision:  4.96
20 precision:  9.18
40 precision:  16.46
--------------------------
| 10precision | 4.96     |
| 10recall    | 0.0302   |
| 20precision | 9.18     |
| 20recall    | 0.0562   |
| 40precision | 16.5     |
| 40recall    | 0.1      |
| 5precision  | 2.62     |
| 5recall     | 0.0159   |
| epoch       | 876      |
| loss        | 0.162    |
| type        | training |
--------------------------
877
5 precision:  2.54
10 precision:  4.78
20 precision:  8.34
40 precision:  14.9
--------------------------
| 10precision | 4.78     |
| 10recall    | 0.028    |
| 20precision | 8.34     |
| 20recall    | 0.0484   |
| 40precision | 14.9     |
| 40recall    | 0.0865   |
| 5precision  | 2.54     |
| 5recall     | 0.0148   |
| epoch       | 877      |
| loss        | 0.1547   |
| type        | training |
--------------------------
878
5 precision:  2.58
10 precision:  4.96
20 precision:  9.36
40 precision:  16.36
--------------------------
| 10precision | 4.96     |
| 10recall    | 0.0271   |
| 20precision | 9.36     |
| 20recall    | 0.0503   |
| 40precision | 16.4     |
| 40recall    | 0.0868   |
| 5precision  | 2.58     |
| 5recall     | 0.0145   |
| epoch       | 878      |
| loss        | 0.1744   |
| type        | training |
--------------------------
879
5 precision:  2.7
10 precision:  5.2
20 precision:  9.38
40 precision:  17.46
--------------------------
| 10precision | 5.2      |
| 10recall    | 0.0271   |
| 20precision | 9.38     |
| 20recall    | 0.0484   |
| 40precision | 17.5     |
| 40recall    | 0.0888   |
| 5precision  | 2.7      |
| 5recall     | 0.0141   |
| epoch       | 879      |
| loss        | 0.1879   |
| type        | training |
--------------------------
880
5 precision:  2.62
10 precision:  4.56
20 precision:  8.5
40 precision:  15.08
--------------------------
| 10precision | 4.56     |
| 10recall    | 0.0263   |
| 20precision | 8.5      |
| 20recall    | 0.0492   |
| 40precision | 15.1     |
| 40recall    | 0.0873   |
| 5precision  | 2.62     |
| 5recall     | 0.0154   |
| epoch       | 880      |
| loss        | 0.1882   |
| type        | training |
--------------------------
881
5 precision:  2.5
10 precision:  4.6
20 precision:  7.9
40 precision:  14.58
--------------------------
| 10precision | 4.6      |
| 10recall    | 0.0268   |
| 20precision | 7.9      |
| 20recall    | 0.0443   |
| 40precision | 14.6     |
| 40recall    | 0.0817   |
| 5precision  | 2.5      |
| 5recall     | 0.0143   |
| epoch       | 881      |
| loss        | 0.1844   |
| type        | training |
--------------------------
882
5 precision:  2.38
10 precision:  4.64
20 precision:  8.86
40 precision:  15.86
--------------------------
| 10precision | 4.64     |
| 10recall    | 0.0254   |
| 20precision | 8.86     |
| 20recall    | 0.0475   |
| 40precision | 15.9     |
| 40recall    | 0.0847   |
| 5precision  | 2.38     |
| 5recall     | 0.0129   |
| epoch       | 882      |
| loss        | 0.1845   |
| type        | training |
--------------------------
883
5 precision:  2.7
10 precision:  4.7
20 precision:  9.02
40 precision:  14.9
--------------------------
| 10precision | 4.7      |
| 10recall    | 0.028    |
| 20precision | 9.02     |
| 20recall    | 0.0536   |
| 40precision | 14.9     |
| 40recall    | 0.0888   |
| 5precision  | 2.7      |
| 5recall     | 0.0166   |
| epoch       | 883      |
| loss        | 0.1534   |
| type        | training |
--------------------------
884
5 precision:  2.48
10 precision:  4.74
20 precision:  8.8
40 precision:  15.06
--------------------------
| 10precision | 4.74     |
| 10recall    | 0.029    |
| 20precision | 8.8      |
| 20recall    | 0.0537   |
| 40precision | 15.1     |
| 40recall    | 0.0907   |
| 5precision  | 2.48     |
| 5recall     | 0.0159   |
| epoch       | 884      |
| loss        | 0.1612   |
| type        | training |
--------------------------
885
5 precision:  2.48
10 precision:  4.78
20 precision:  8.38
40 precision:  15.04
--------------------------
| 10precision | 4.78     |
| 10recall    | 0.0287   |
| 20precision | 8.38     |
| 20recall    | 0.0508   |
| 40precision | 15       |
| 40recall    | 0.0899   |
| 5precision  | 2.48     |
| 5recall     | 0.0147   |
| epoch       | 885      |
| loss        | 0.1912   |
| type        | training |
--------------------------
886
5 precision:  2.82
10 precision:  4.98
20 precision:  8.98
40 precision:  15.84
--------------------------
| 10precision | 4.98     |
| 10recall    | 0.0277   |
| 20precision | 8.98     |
| 20recall    | 0.0494   |
| 40precision | 15.8     |
| 40recall    | 0.0876   |
| 5precision  | 2.82     |
| 5recall     | 0.0161   |
| epoch       | 886      |
| loss        | 0.187    |
| type        | training |
--------------------------
887
5 precision:  2.68
10 precision:  4.86
20 precision:  9.26
40 precision:  16.04
--------------------------
| 10precision | 4.86     |
| 10recall    | 0.0284   |
| 20precision | 9.26     |
| 20recall    | 0.0531   |
| 40precision | 16       |
| 40recall    | 0.0916   |
| 5precision  | 2.68     |
| 5recall     | 0.0162   |
| epoch       | 887      |
| loss        | 0.1698   |
| type        | training |
--------------------------
888
5 precision:  2.62
10 precision:  4.62
20 precision:  8.32
40 precision:  14.7
--------------------------
| 10precision | 4.62     |
| 10recall    | 0.027    |
| 20precision | 8.32     |
| 20recall    | 0.0476   |
| 40precision | 14.7     |
| 40recall    | 0.0837   |
| 5precision  | 2.62     |
| 5recall     | 0.0154   |
| epoch       | 888      |
| loss        | 0.1685   |
| type        | training |
--------------------------
889
5 precision:  2.74
10 precision:  4.82
20 precision:  8.86
40 precision:  15.16
--------------------------
| 10precision | 4.82     |
| 10recall    | 0.0293   |
| 20precision | 8.86     |
| 20recall    | 0.0526   |
| 40precision | 15.2     |
| 40recall    | 0.0895   |
| 5precision  | 2.74     |
| 5recall     | 0.0164   |
| epoch       | 889      |
| loss        | 0.1514   |
| type        | training |
--------------------------
890
5 precision:  2.62
10 precision:  4.72
20 precision:  8.4
40 precision:  14.6
--------------------------
| 10precision | 4.72     |
| 10recall    | 0.0298   |
| 20precision | 8.4      |
| 20recall    | 0.0518   |
| 40precision | 14.6     |
| 40recall    | 0.0882   |
| 5precision  | 2.62     |
| 5recall     | 0.017    |
| epoch       | 890      |
| loss        | 0.1529   |
| type        | training |
--------------------------
891
5 precision:  2.36
10 precision:  4.28
20 precision:  7.68
40 precision:  13.88
--------------------------
| 10precision | 4.28     |
| 10recall    | 0.0292   |
| 20precision | 7.68     |
| 20recall    | 0.0527   |
| 40precision | 13.9     |
| 40recall    | 0.0958   |
| 5precision  | 2.36     |
| 5recall     | 0.0167   |
| epoch       | 891      |
| loss        | 0.1654   |
| type        | training |
--------------------------
892
5 precision:  2.52
10 precision:  4.46
20 precision:  8.12
40 precision:  14.48
--------------------------
| 10precision | 4.46     |
| 10recall    | 0.0265   |
| 20precision | 8.12     |
| 20recall    | 0.0474   |
| 40precision | 14.5     |
| 40recall    | 0.0849   |
| 5precision  | 2.52     |
| 5recall     | 0.0153   |
| epoch       | 892      |
| loss        | 0.1656   |
| type        | training |
--------------------------
893
5 precision:  2.26
10 precision:  4.06
20 precision:  7.28
40 precision:  13.1
--------------------------
| 10precision | 4.06     |
| 10recall    | 0.0291   |
| 20precision | 7.28     |
| 20recall    | 0.052    |
| 40precision | 13.1     |
| 40recall    | 0.0926   |
| 5precision  | 2.26     |
| 5recall     | 0.0163   |
| epoch       | 893      |
| loss        | 0.1608   |
| type        | training |
--------------------------
894
5 precision:  2.5
10 precision:  4.52
20 precision:  8.32
40 precision:  15.54
--------------------------
| 10precision | 4.52     |
| 10recall    | 0.0244   |
| 20precision | 8.32     |
| 20recall    | 0.044    |
| 40precision | 15.5     |
| 40recall    | 0.0821   |
| 5precision  | 2.5      |
| 5recall     | 0.0138   |
| epoch       | 894      |
| loss        | 0.1714   |
| type        | training |
--------------------------
895
5 precision:  2.38
10 precision:  4.44
20 precision:  7.92
40 precision:  14.16
--------------------------
| 10precision | 4.44     |
| 10recall    | 0.0289   |
| 20precision | 7.92     |
| 20recall    | 0.0506   |
| 40precision | 14.2     |
| 40recall    | 0.0893   |
| 5precision  | 2.38     |
| 5recall     | 0.0152   |
| epoch       | 895      |
| loss        | 0.1863   |
| type        | training |
--------------------------
896
5 precision:  2.8
10 precision:  5.1
20 precision:  9.04
40 precision:  16.5
--------------------------
| 10precision | 5.1      |
| 10recall    | 0.0294   |
| 20precision | 9.04     |
| 20recall    | 0.0521   |
| 40precision | 16.5     |
| 40recall    | 0.0933   |
| 5precision  | 2.8      |
| 5recall     | 0.016    |
| epoch       | 896      |
| loss        | 0.1794   |
| type        | training |
--------------------------
897
5 precision:  2.54
10 precision:  4.6
20 precision:  8.64
40 precision:  15.4
--------------------------
| 10precision | 4.6      |
| 10recall    | 0.0278   |
| 20precision | 8.64     |
| 20recall    | 0.0526   |
| 40precision | 15.4     |
| 40recall    | 0.0923   |
| 5precision  | 2.54     |
| 5recall     | 0.0158   |
| epoch       | 897      |
| loss        | 0.1836   |
| type        | training |
--------------------------
898
5 precision:  2.46
10 precision:  4.7
20 precision:  8.46
40 precision:  15.68
--------------------------
| 10precision | 4.7      |
| 10recall    | 0.0263   |
| 20precision | 8.46     |
| 20recall    | 0.0471   |
| 40precision | 15.7     |
| 40recall    | 0.0856   |
| 5precision  | 2.46     |
| 5recall     | 0.0141   |
| epoch       | 898      |
| loss        | 0.1868   |
| type        | training |
--------------------------
899
5 precision:  2.7
10 precision:  4.62
20 precision:  8.96
40 precision:  15.72
--------------------------
| 10precision | 4.62     |
| 10recall    | 0.03     |
| 20precision | 8.96     |
| 20recall    | 0.0572   |
| 40precision | 15.7     |
| 40recall    | 0.0998   |
| 5precision  | 2.7      |
| 5recall     | 0.0184   |
| epoch       | 899      |
| loss        | 0.1926   |
| type        | training |
--------------------------
900
5 precision:  2.7
10 precision:  5.08
20 precision:  9.06
40 precision:  16.18
--------------------------
| 10precision | 5.08     |
| 10recall    | 0.0298   |
| 20precision | 9.06     |
| 20recall    | 0.0528   |
| 40precision | 16.2     |
| 40recall    | 0.0914   |
| 5precision  | 2.7      |
| 5recall     | 0.0158   |
| epoch       | 900      |
| loss        | 0.1587   |
| type        | training |
--------------------------
5 precision:  3.2222
10 precision:  5.8889
20 precision:  11.5
40 precision:  19.2778
----------------------------
| 10precision | 5.89       |
| 10recall    | 0.0335     |
| 20precision | 11.5       |
| 20recall    | 0.0634     |
| 40precision | 19.3       |
| 40recall    | 0.105      |
| 5precision  | 3.22       |
| 5recall     | 0.0183     |
| epoch       | 900        |
| type        | validation |
----------------------------
5 precision:  3.3158
10 precision:  5.9474
20 precision:  11.0263
40 precision:  17.9211
----------------------------
| 10precision | 5.95       |
| 10recall    | 0.0352     |
| 20precision | 11         |
| 20recall    | 0.0636     |
| 40precision | 17.9       |
| 40recall    | 0.101      |
| 5precision  | 3.32       |
| 5recall     | 0.0202     |
| epoch       | 900        |
| type        | evaluation |
----------------------------
901
5 precision:  2.72
10 precision:  4.82
20 precision:  8.7
40 precision:  15.18
--------------------------
| 10precision | 4.82     |
| 10recall    | 0.0307   |
| 20precision | 8.7      |
| 20recall    | 0.0541   |
| 40precision | 15.2     |
| 40recall    | 0.0925   |
| 5precision  | 2.72     |
| 5recall     | 0.0172   |
| epoch       | 901      |
| loss        | 0.1814   |
| type        | training |
--------------------------
902
5 precision:  2.52
10 precision:  4.58
20 precision:  8.14
40 precision:  15.44
--------------------------
| 10precision | 4.58     |
| 10recall    | 0.0274   |
| 20precision | 8.14     |
| 20recall    | 0.0478   |
| 40precision | 15.4     |
| 40recall    | 0.09     |
| 5precision  | 2.52     |
| 5recall     | 0.015    |
| epoch       | 902      |
| loss        | 0.1854   |
| type        | training |
--------------------------
903
5 precision:  2.6
10 precision:  4.26
20 precision:  8.66
40 precision:  15.66
--------------------------
| 10precision | 4.26     |
| 10recall    | 0.0229   |
| 20precision | 8.66     |
| 20recall    | 0.0465   |
| 40precision | 15.7     |
| 40recall    | 0.0812   |
| 5precision  | 2.6      |
| 5recall     | 0.0137   |
| epoch       | 903      |
| loss        | 0.1301   |
| type        | training |
--------------------------
904
5 precision:  2.54
10 precision:  4.92
20 precision:  9.4
40 precision:  17.34
--------------------------
| 10precision | 4.92     |
| 10recall    | 0.0256   |
| 20precision | 9.4      |
| 20recall    | 0.0491   |
| 40precision | 17.3     |
| 40recall    | 0.0912   |
| 5precision  | 2.54     |
| 5recall     | 0.0132   |
| epoch       | 904      |
| loss        | 0.1691   |
| type        | training |
--------------------------
905
5 precision:  2.66
10 precision:  5.04
20 precision:  9.32
40 precision:  16.62
--------------------------
| 10precision | 5.04     |
| 10recall    | 0.0291   |
| 20precision | 9.32     |
| 20recall    | 0.0526   |
| 40precision | 16.6     |
| 40recall    | 0.0928   |
| 5precision  | 2.66     |
| 5recall     | 0.0152   |
| epoch       | 905      |
| loss        | 0.1831   |
| type        | training |
--------------------------
906
5 precision:  2.52
10 precision:  4.56
20 precision:  8.36
40 precision:  15.04
--------------------------
| 10precision | 4.56     |
| 10recall    | 0.0288   |
| 20precision | 8.36     |
| 20recall    | 0.0531   |
| 40precision | 15       |
| 40recall    | 0.0937   |
| 5precision  | 2.52     |
| 5recall     | 0.016    |
| epoch       | 906      |
| loss        | 0.202    |
| type        | training |
--------------------------
907
5 precision:  2.52
10 precision:  4.62
20 precision:  8.64
40 precision:  15.3
--------------------------
| 10precision | 4.62     |
| 10recall    | 0.0274   |
| 20precision | 8.64     |
| 20recall    | 0.0513   |
| 40precision | 15.3     |
| 40recall    | 0.0884   |
| 5precision  | 2.52     |
| 5recall     | 0.0151   |
| epoch       | 907      |
| loss        | 0.1684   |
| type        | training |
--------------------------
908
5 precision:  2.56
10 precision:  4.34
20 precision:  8.2
40 precision:  14.88
--------------------------
| 10precision | 4.34     |
| 10recall    | 0.0266   |
| 20precision | 8.2      |
| 20recall    | 0.05     |
| 40precision | 14.9     |
| 40recall    | 0.0893   |
| 5precision  | 2.56     |
| 5recall     | 0.0157   |
| epoch       | 908      |
| loss        | 0.1602   |
| type        | training |
--------------------------
909
5 precision:  2.6
10 precision:  4.7
20 precision:  8.54
40 precision:  14.78
--------------------------
| 10precision | 4.7      |
| 10recall    | 0.0284   |
| 20precision | 8.54     |
| 20recall    | 0.0517   |
| 40precision | 14.8     |
| 40recall    | 0.0876   |
| 5precision  | 2.6      |
| 5recall     | 0.0163   |
| epoch       | 909      |
| loss        | 0.1935   |
| type        | training |
--------------------------
910
5 precision:  2.2
10 precision:  4.66
20 precision:  8.7
40 precision:  15.64
--------------------------
| 10precision | 4.66     |
| 10recall    | 0.0276   |
| 20precision | 8.7      |
| 20recall    | 0.0511   |
| 40precision | 15.6     |
| 40recall    | 0.0905   |
| 5precision  | 2.2      |
| 5recall     | 0.0132   |
| epoch       | 910      |
| loss        | 0.1604   |
| type        | training |
--------------------------
911
5 precision:  2.76
10 precision:  5.1
20 precision:  9.6
40 precision:  16.78
--------------------------
| 10precision | 5.1      |
| 10recall    | 0.0291   |
| 20precision | 9.6      |
| 20recall    | 0.0542   |
| 40precision | 16.8     |
| 40recall    | 0.0923   |
| 5precision  | 2.76     |
| 5recall     | 0.0158   |
| epoch       | 911      |
| loss        | 0.1824   |
| type        | training |
--------------------------
912
5 precision:  2.66
10 precision:  4.9
20 precision:  8.6
40 precision:  15.84
--------------------------
| 10precision | 4.9      |
| 10recall    | 0.026    |
| 20precision | 8.6      |
| 20recall    | 0.0454   |
| 40precision | 15.8     |
| 40recall    | 0.0834   |
| 5precision  | 2.66     |
| 5recall     | 0.014    |
| epoch       | 912      |
| loss        | 0.1919   |
| type        | training |
--------------------------
913
5 precision:  2.74
10 precision:  4.62
20 precision:  8.94
40 precision:  16.02
--------------------------
| 10precision | 4.62     |
| 10recall    | 0.0258   |
| 20precision | 8.94     |
| 20recall    | 0.0496   |
| 40precision | 16       |
| 40recall    | 0.0867   |
| 5precision  | 2.74     |
| 5recall     | 0.0156   |
| epoch       | 913      |
| loss        | 0.1858   |
| type        | training |
--------------------------
914
5 precision:  2.76
10 precision:  4.56
20 precision:  8.64
40 precision:  15.4
--------------------------
| 10precision | 4.56     |
| 10recall    | 0.0284   |
| 20precision | 8.64     |
| 20recall    | 0.0532   |
| 40precision | 15.4     |
| 40recall    | 0.0945   |
| 5precision  | 2.76     |
| 5recall     | 0.0175   |
| epoch       | 914      |
| loss        | 0.1779   |
| type        | training |
--------------------------
915
5 precision:  2.68
10 precision:  4.74
20 precision:  8.76
40 precision:  15.22
--------------------------
| 10precision | 4.74     |
| 10recall    | 0.0301   |
| 20precision | 8.76     |
| 20recall    | 0.0537   |
| 40precision | 15.2     |
| 40recall    | 0.0921   |
| 5precision  | 2.68     |
| 5recall     | 0.0168   |
| epoch       | 915      |
| loss        | 0.1812   |
| type        | training |
--------------------------
916
5 precision:  2.72
10 precision:  5.0
20 precision:  9.16
40 precision:  16.52
--------------------------
| 10precision | 5        |
| 10recall    | 0.0291   |
| 20precision | 9.16     |
| 20recall    | 0.0541   |
| 40precision | 16.5     |
| 40recall    | 0.0951   |
| 5precision  | 2.72     |
| 5recall     | 0.0166   |
| epoch       | 916      |
| loss        | 0.1854   |
| type        | training |
--------------------------
917
5 precision:  2.8
10 precision:  5.02
20 precision:  9.06
40 precision:  16.1
--------------------------
| 10precision | 5.02     |
| 10recall    | 0.0327   |
| 20precision | 9.06     |
| 20recall    | 0.0574   |
| 40precision | 16.1     |
| 40recall    | 0.1      |
| 5precision  | 2.8      |
| 5recall     | 0.0184   |
| epoch       | 917      |
| loss        | 0.2053   |
| type        | training |
--------------------------
918
5 precision:  2.8
10 precision:  5.22
20 precision:  9.54
40 precision:  16.18
--------------------------
| 10precision | 5.22     |
| 10recall    | 0.0323   |
| 20precision | 9.54     |
| 20recall    | 0.0587   |
| 40precision | 16.2     |
| 40recall    | 0.0985   |
| 5precision  | 2.8      |
| 5recall     | 0.0176   |
| epoch       | 918      |
| loss        | 0.1566   |
| type        | training |
--------------------------
919
5 precision:  2.82
10 precision:  4.96
20 precision:  9.32
40 precision:  15.8
--------------------------
| 10precision | 4.96     |
| 10recall    | 0.0287   |
| 20precision | 9.32     |
| 20recall    | 0.0541   |
| 40precision | 15.8     |
| 40recall    | 0.0912   |
| 5precision  | 2.82     |
| 5recall     | 0.0169   |
| epoch       | 919      |
| loss        | 0.183    |
| type        | training |
--------------------------
920
5 precision:  2.42
10 precision:  4.7
20 precision:  8.96
40 precision:  15.8
--------------------------
| 10precision | 4.7      |
| 10recall    | 0.0291   |
| 20precision | 8.96     |
| 20recall    | 0.0565   |
| 40precision | 15.8     |
| 40recall    | 0.0993   |
| 5precision  | 2.42     |
| 5recall     | 0.0153   |
| epoch       | 920      |
| loss        | 0.1779   |
| type        | training |
--------------------------
921
5 precision:  2.5
10 precision:  4.58
20 precision:  8.42
40 precision:  14.56
--------------------------
| 10precision | 4.58     |
| 10recall    | 0.0283   |
| 20precision | 8.42     |
| 20recall    | 0.0514   |
| 40precision | 14.6     |
| 40recall    | 0.0884   |
| 5precision  | 2.5      |
| 5recall     | 0.0156   |
| epoch       | 921      |
| loss        | 0.1625   |
| type        | training |
--------------------------
922
5 precision:  2.78
10 precision:  5.06
20 precision:  9.16
40 precision:  16.18
--------------------------
| 10precision | 5.06     |
| 10recall    | 0.0294   |
| 20precision | 9.16     |
| 20recall    | 0.0519   |
| 40precision | 16.2     |
| 40recall    | 0.0899   |
| 5precision  | 2.78     |
| 5recall     | 0.0164   |
| epoch       | 922      |
| loss        | 0.1804   |
| type        | training |
--------------------------
923
5 precision:  2.76
10 precision:  5.1
20 precision:  9.48
40 precision:  16.74
--------------------------
| 10precision | 5.1      |
| 10recall    | 0.028    |
| 20precision | 9.48     |
| 20recall    | 0.051    |
| 40precision | 16.7     |
| 40recall    | 0.0902   |
| 5precision  | 2.76     |
| 5recall     | 0.0158   |
| epoch       | 923      |
| loss        | 0.1715   |
| type        | training |
--------------------------
924
5 precision:  2.84
10 precision:  5.16
20 precision:  9.16
40 precision:  16.48
--------------------------
| 10precision | 5.16     |
| 10recall    | 0.0318   |
| 20precision | 9.16     |
| 20recall    | 0.0565   |
| 40precision | 16.5     |
| 40recall    | 0.0998   |
| 5precision  | 2.84     |
| 5recall     | 0.0176   |
| epoch       | 924      |
| loss        | 0.1884   |
| type        | training |
--------------------------
925
5 precision:  2.86
10 precision:  5.24
20 precision:  9.12
40 precision:  16.42
--------------------------
| 10precision | 5.24     |
| 10recall    | 0.0303   |
| 20precision | 9.12     |
| 20recall    | 0.052    |
| 40precision | 16.4     |
| 40recall    | 0.0912   |
| 5precision  | 2.86     |
| 5recall     | 0.0165   |
| epoch       | 925      |
| loss        | 0.1853   |
| type        | training |
--------------------------
926
5 precision:  2.68
10 precision:  4.72
20 precision:  8.92
40 precision:  15.86
--------------------------
| 10precision | 4.72     |
| 10recall    | 0.0281   |
| 20precision | 8.92     |
| 20recall    | 0.0516   |
| 40precision | 15.9     |
| 40recall    | 0.0905   |
| 5precision  | 2.68     |
| 5recall     | 0.0162   |
| epoch       | 926      |
| loss        | 0.1794   |
| type        | training |
--------------------------
927
5 precision:  2.62
10 precision:  4.66
20 precision:  8.42
40 precision:  15.24
--------------------------
| 10precision | 4.66     |
| 10recall    | 0.0283   |
| 20precision | 8.42     |
| 20recall    | 0.0506   |
| 40precision | 15.2     |
| 40recall    | 0.0906   |
| 5precision  | 2.62     |
| 5recall     | 0.0162   |
| epoch       | 927      |
| loss        | 0.174    |
| type        | training |
--------------------------
928
5 precision:  2.44
10 precision:  4.5
20 precision:  8.58
40 precision:  15.48
--------------------------
| 10precision | 4.5      |
| 10recall    | 0.0279   |
| 20precision | 8.58     |
| 20recall    | 0.0524   |
| 40precision | 15.5     |
| 40recall    | 0.0941   |
| 5precision  | 2.44     |
| 5recall     | 0.0151   |
| epoch       | 928      |
| loss        | 0.1572   |
| type        | training |
--------------------------
929
5 precision:  2.48
10 precision:  4.54
20 precision:  8.86
40 precision:  14.92
--------------------------
| 10precision | 4.54     |
| 10recall    | 0.0281   |
| 20precision | 8.86     |
| 20recall    | 0.0541   |
| 40precision | 14.9     |
| 40recall    | 0.0897   |
| 5precision  | 2.48     |
| 5recall     | 0.0157   |
| epoch       | 929      |
| loss        | 0.173    |
| type        | training |
--------------------------
930
5 precision:  2.92
10 precision:  5.14
20 precision:  9.42
40 precision:  16.7
--------------------------
| 10precision | 5.14     |
| 10recall    | 0.0329   |
| 20precision | 9.42     |
| 20recall    | 0.0603   |
| 40precision | 16.7     |
| 40recall    | 0.105    |
| 5precision  | 2.92     |
| 5recall     | 0.018    |
| epoch       | 930      |
| loss        | 0.1883   |
| type        | training |
--------------------------
931
5 precision:  2.4
10 precision:  4.54
20 precision:  8.48
40 precision:  15.32
--------------------------
| 10precision | 4.54     |
| 10recall    | 0.0241   |
| 20precision | 8.48     |
| 20recall    | 0.0444   |
| 40precision | 15.3     |
| 40recall    | 0.0797   |
| 5precision  | 2.4      |
| 5recall     | 0.013    |
| epoch       | 931      |
| loss        | 0.1748   |
| type        | training |
--------------------------
932
5 precision:  2.34
10 precision:  4.6
20 precision:  8.62
40 precision:  15.34
--------------------------
| 10precision | 4.6      |
| 10recall    | 0.0267   |
| 20precision | 8.62     |
| 20recall    | 0.0491   |
| 40precision | 15.3     |
| 40recall    | 0.0874   |
| 5precision  | 2.34     |
| 5recall     | 0.0135   |
| epoch       | 932      |
| loss        | 0.168    |
| type        | training |
--------------------------
933
5 precision:  2.4
10 precision:  4.6
20 precision:  8.52
40 precision:  14.58
--------------------------
| 10precision | 4.6      |
| 10recall    | 0.0286   |
| 20precision | 8.52     |
| 20recall    | 0.0513   |
| 40precision | 14.6     |
| 40recall    | 0.085    |
| 5precision  | 2.4      |
| 5recall     | 0.0152   |
| epoch       | 933      |
| loss        | 0.187    |
| type        | training |
--------------------------
934
5 precision:  2.56
10 precision:  4.62
20 precision:  8.14
40 precision:  14.82
--------------------------
| 10precision | 4.62     |
| 10recall    | 0.0285   |
| 20precision | 8.14     |
| 20recall    | 0.0499   |
| 40precision | 14.8     |
| 40recall    | 0.0912   |
| 5precision  | 2.56     |
| 5recall     | 0.0157   |
| epoch       | 934      |
| loss        | 0.1833   |
| type        | training |
--------------------------
935
5 precision:  2.66
10 precision:  4.8
20 precision:  8.74
40 precision:  15.42
--------------------------
| 10precision | 4.8      |
| 10recall    | 0.0305   |
| 20precision | 8.74     |
| 20recall    | 0.0544   |
| 40precision | 15.4     |
| 40recall    | 0.0944   |
| 5precision  | 2.66     |
| 5recall     | 0.0175   |
| epoch       | 935      |
| loss        | 0.1598   |
| type        | training |
--------------------------
936
5 precision:  2.82
10 precision:  5.12
20 precision:  9.0
40 precision:  16.16
--------------------------
| 10precision | 5.12     |
| 10recall    | 0.0277   |
| 20precision | 9        |
| 20recall    | 0.0477   |
| 40precision | 16.2     |
| 40recall    | 0.0854   |
| 5precision  | 2.82     |
| 5recall     | 0.0155   |
| epoch       | 936      |
| loss        | 0.1691   |
| type        | training |
--------------------------
937
5 precision:  2.54
10 precision:  4.8
20 precision:  8.2
40 precision:  15.0
--------------------------
| 10precision | 4.8      |
| 10recall    | 0.0266   |
| 20precision | 8.2      |
| 20recall    | 0.0442   |
| 40precision | 15       |
| 40recall    | 0.08     |
| 5precision  | 2.54     |
| 5recall     | 0.0143   |
| epoch       | 937      |
| loss        | 0.1788   |
| type        | training |
--------------------------
938
5 precision:  2.62
10 precision:  4.74
20 precision:  8.44
40 precision:  15.46
--------------------------
| 10precision | 4.74     |
| 10recall    | 0.0279   |
| 20precision | 8.44     |
| 20recall    | 0.0478   |
| 40precision | 15.5     |
| 40recall    | 0.0868   |
| 5precision  | 2.62     |
| 5recall     | 0.0156   |
| epoch       | 938      |
| loss        | 0.1889   |
| type        | training |
--------------------------
939
5 precision:  2.68
10 precision:  4.9
20 precision:  9.04
40 precision:  16.6
--------------------------
| 10precision | 4.9      |
| 10recall    | 0.026    |
| 20precision | 9.04     |
| 20recall    | 0.0471   |
| 40precision | 16.6     |
| 40recall    | 0.0847   |
| 5precision  | 2.68     |
| 5recall     | 0.0143   |
| epoch       | 939      |
| loss        | 0.1781   |
| type        | training |
--------------------------
940
5 precision:  2.76
10 precision:  5.04
20 precision:  9.18
40 precision:  15.5
--------------------------
| 10precision | 5.04     |
| 10recall    | 0.0294   |
| 20precision | 9.18     |
| 20recall    | 0.0517   |
| 40precision | 15.5     |
| 40recall    | 0.0859   |
| 5precision  | 2.76     |
| 5recall     | 0.016    |
| epoch       | 940      |
| loss        | 0.1807   |
| type        | training |
--------------------------
941
5 precision:  2.82
10 precision:  5.08
20 precision:  9.32
40 precision:  15.88
--------------------------
| 10precision | 5.08     |
| 10recall    | 0.0306   |
| 20precision | 9.32     |
| 20recall    | 0.0526   |
| 40precision | 15.9     |
| 40recall    | 0.0862   |
| 5precision  | 2.82     |
| 5recall     | 0.017    |
| epoch       | 941      |
| loss        | 0.1722   |
| type        | training |
--------------------------
942
5 precision:  2.7
10 precision:  5.12
20 precision:  9.22
40 precision:  16.98
--------------------------
| 10precision | 5.12     |
| 10recall    | 0.0304   |
| 20precision | 9.22     |
| 20recall    | 0.0532   |
| 40precision | 17       |
| 40recall    | 0.097    |
| 5precision  | 2.7      |
| 5recall     | 0.0158   |
| epoch       | 942      |
| loss        | 0.1517   |
| type        | training |
--------------------------
943
5 precision:  2.46
10 precision:  4.54
20 precision:  8.28
40 precision:  14.56
--------------------------
| 10precision | 4.54     |
| 10recall    | 0.0284   |
| 20precision | 8.28     |
| 20recall    | 0.0512   |
| 40precision | 14.6     |
| 40recall    | 0.0886   |
| 5precision  | 2.46     |
| 5recall     | 0.0157   |
| epoch       | 943      |
| loss        | 0.1416   |
| type        | training |
--------------------------
944
5 precision:  2.58
10 precision:  4.78
20 precision:  8.5
40 precision:  14.96
--------------------------
| 10precision | 4.78     |
| 10recall    | 0.0276   |
| 20precision | 8.5      |
| 20recall    | 0.0482   |
| 40precision | 15       |
| 40recall    | 0.0848   |
| 5precision  | 2.58     |
| 5recall     | 0.0152   |
| epoch       | 944      |
| loss        | 0.187    |
| type        | training |
--------------------------
945
5 precision:  2.46
10 precision:  4.56
20 precision:  8.72
40 precision:  15.26
--------------------------
| 10precision | 4.56     |
| 10recall    | 0.0282   |
| 20precision | 8.72     |
| 20recall    | 0.0549   |
| 40precision | 15.3     |
| 40recall    | 0.0951   |
| 5precision  | 2.46     |
| 5recall     | 0.0154   |
| epoch       | 945      |
| loss        | 0.1509   |
| type        | training |
--------------------------
946
5 precision:  2.7
10 precision:  4.96
20 precision:  9.06
40 precision:  16.16
--------------------------
| 10precision | 4.96     |
| 10recall    | 0.026    |
| 20precision | 9.06     |
| 20recall    | 0.0474   |
| 40precision | 16.2     |
| 40recall    | 0.0841   |
| 5precision  | 2.7      |
| 5recall     | 0.0143   |
| epoch       | 946      |
| loss        | 0.1801   |
| type        | training |
--------------------------
947
5 precision:  2.54
10 precision:  4.66
20 precision:  8.7
40 precision:  15.14
--------------------------
| 10precision | 4.66     |
| 10recall    | 0.0316   |
| 20precision | 8.7      |
| 20recall    | 0.0573   |
| 40precision | 15.1     |
| 40recall    | 0.0958   |
| 5precision  | 2.54     |
| 5recall     | 0.0173   |
| epoch       | 947      |
| loss        | 0.1643   |
| type        | training |
--------------------------
948
5 precision:  2.92
10 precision:  5.3
20 precision:  9.64
40 precision:  16.42
--------------------------
| 10precision | 5.3      |
| 10recall    | 0.0317   |
| 20precision | 9.64     |
| 20recall    | 0.0573   |
| 40precision | 16.4     |
| 40recall    | 0.0948   |
| 5precision  | 2.92     |
| 5recall     | 0.0178   |
| epoch       | 948      |
| loss        | 0.1763   |
| type        | training |
--------------------------
949
5 precision:  2.52
10 precision:  4.64
20 precision:  8.76
40 precision:  15.96
--------------------------
| 10precision | 4.64     |
| 10recall    | 0.0268   |
| 20precision | 8.76     |
| 20recall    | 0.0508   |
| 40precision | 16       |
| 40recall    | 0.09     |
| 5precision  | 2.52     |
| 5recall     | 0.0151   |
| epoch       | 949      |
| loss        | 0.1597   |
| type        | training |
--------------------------
950
5 precision:  2.78
10 precision:  5.28
20 precision:  9.6
40 precision:  17.16
--------------------------
| 10precision | 5.28     |
| 10recall    | 0.0299   |
| 20precision | 9.6      |
| 20recall    | 0.0526   |
| 40precision | 17.2     |
| 40recall    | 0.0937   |
| 5precision  | 2.78     |
| 5recall     | 0.0155   |
| epoch       | 950      |
| loss        | 0.1691   |
| type        | training |
--------------------------
951
5 precision:  2.74
10 precision:  4.92
20 precision:  8.82
40 precision:  15.5
--------------------------
| 10precision | 4.92     |
| 10recall    | 0.0283   |
| 20precision | 8.82     |
| 20recall    | 0.0488   |
| 40precision | 15.5     |
| 40recall    | 0.086    |
| 5precision  | 2.74     |
| 5recall     | 0.0161   |
| epoch       | 951      |
| loss        | 0.1973   |
| type        | training |
--------------------------
952
5 precision:  2.56
10 precision:  4.92
20 precision:  9.38
40 precision:  15.9
--------------------------
| 10precision | 4.92     |
| 10recall    | 0.0288   |
| 20precision | 9.38     |
| 20recall    | 0.0547   |
| 40precision | 15.9     |
| 40recall    | 0.0919   |
| 5precision  | 2.56     |
| 5recall     | 0.0148   |
| epoch       | 952      |
| loss        | 0.1952   |
| type        | training |
--------------------------
953
5 precision:  2.32
10 precision:  4.48
20 precision:  8.04
40 precision:  14.58
--------------------------
| 10precision | 4.48     |
| 10recall    | 0.0254   |
| 20precision | 8.04     |
| 20recall    | 0.0462   |
| 40precision | 14.6     |
| 40recall    | 0.0821   |
| 5precision  | 2.32     |
| 5recall     | 0.0135   |
| epoch       | 953      |
| loss        | 0.1705   |
| type        | training |
--------------------------
954
5 precision:  2.72
10 precision:  4.84
20 precision:  8.74
40 precision:  14.88
--------------------------
| 10precision | 4.84     |
| 10recall    | 0.0293   |
| 20precision | 8.74     |
| 20recall    | 0.0522   |
| 40precision | 14.9     |
| 40recall    | 0.0874   |
| 5precision  | 2.72     |
| 5recall     | 0.0166   |
| epoch       | 954      |
| loss        | 0.1784   |
| type        | training |
--------------------------
955
5 precision:  2.4
10 precision:  4.5
20 precision:  8.24
40 precision:  14.86
--------------------------
| 10precision | 4.5      |
| 10recall    | 0.0277   |
| 20precision | 8.24     |
| 20recall    | 0.0507   |
| 40precision | 14.9     |
| 40recall    | 0.0898   |
| 5precision  | 2.4      |
| 5recall     | 0.0148   |
| epoch       | 955      |
| loss        | 0.156    |
| type        | training |
--------------------------
956
5 precision:  2.72
10 precision:  5.36
20 precision:  9.7
40 precision:  17.24
--------------------------
| 10precision | 5.36     |
| 10recall    | 0.0291   |
| 20precision | 9.7      |
| 20recall    | 0.0526   |
| 40precision | 17.2     |
| 40recall    | 0.0908   |
| 5precision  | 2.72     |
| 5recall     | 0.0146   |
| epoch       | 956      |
| loss        | 0.1799   |
| type        | training |
--------------------------
957
5 precision:  2.42
10 precision:  4.64
20 precision:  8.5
40 precision:  15.34
--------------------------
| 10precision | 4.64     |
| 10recall    | 0.0267   |
| 20precision | 8.5      |
| 20recall    | 0.0478   |
| 40precision | 15.3     |
| 40recall    | 0.0849   |
| 5precision  | 2.42     |
| 5recall     | 0.0137   |
| epoch       | 957      |
| loss        | 0.1789   |
| type        | training |
--------------------------
958
5 precision:  2.72
10 precision:  5.12
20 precision:  9.52
40 precision:  16.3
--------------------------
| 10precision | 5.12     |
| 10recall    | 0.0321   |
| 20precision | 9.52     |
| 20recall    | 0.0574   |
| 40precision | 16.3     |
| 40recall    | 0.0969   |
| 5precision  | 2.72     |
| 5recall     | 0.0177   |
| epoch       | 958      |
| loss        | 0.1636   |
| type        | training |
--------------------------
959
5 precision:  2.76
10 precision:  4.9
20 precision:  8.92
40 precision:  16.1
--------------------------
| 10precision | 4.9      |
| 10recall    | 0.0299   |
| 20precision | 8.92     |
| 20recall    | 0.0532   |
| 40precision | 16.1     |
| 40recall    | 0.0931   |
| 5precision  | 2.76     |
| 5recall     | 0.0171   |
| epoch       | 959      |
| loss        | 0.1542   |
| type        | training |
--------------------------
960
5 precision:  2.66
10 precision:  4.9
20 precision:  8.92
40 precision:  15.6
--------------------------
| 10precision | 4.9      |
| 10recall    | 0.0288   |
| 20precision | 8.92     |
| 20recall    | 0.052    |
| 40precision | 15.6     |
| 40recall    | 0.0893   |
| 5precision  | 2.66     |
| 5recall     | 0.0161   |
| epoch       | 960      |
| loss        | 0.1769   |
| type        | training |
--------------------------
961
5 precision:  2.82
10 precision:  5.02
20 precision:  8.9
40 precision:  15.12
--------------------------
| 10precision | 5.02     |
| 10recall    | 0.0323   |
| 20precision | 8.9      |
| 20recall    | 0.0567   |
| 40precision | 15.1     |
| 40recall    | 0.0932   |
| 5precision  | 2.82     |
| 5recall     | 0.0187   |
| epoch       | 961      |
| loss        | 0.1762   |
| type        | training |
--------------------------
962
5 precision:  2.8
10 precision:  5.2
20 precision:  9.2
40 precision:  16.02
--------------------------
| 10precision | 5.2      |
| 10recall    | 0.0298   |
| 20precision | 9.2      |
| 20recall    | 0.0529   |
| 40precision | 16       |
| 40recall    | 0.0902   |
| 5precision  | 2.8      |
| 5recall     | 0.0158   |
| epoch       | 962      |
| loss        | 0.1706   |
| type        | training |
--------------------------
963
5 precision:  2.58
10 precision:  4.58
20 precision:  8.2
40 precision:  15.18
--------------------------
| 10precision | 4.58     |
| 10recall    | 0.0278   |
| 20precision | 8.2      |
| 20recall    | 0.0504   |
| 40precision | 15.2     |
| 40recall    | 0.0929   |
| 5precision  | 2.58     |
| 5recall     | 0.0156   |
| epoch       | 963      |
| loss        | 0.1693   |
| type        | training |
--------------------------
964
5 precision:  2.7
10 precision:  4.84
20 precision:  9.12
40 precision:  17.06
--------------------------
| 10precision | 4.84     |
| 10recall    | 0.0275   |
| 20precision | 9.12     |
| 20recall    | 0.0513   |
| 40precision | 17.1     |
| 40recall    | 0.0942   |
| 5precision  | 2.7      |
| 5recall     | 0.0155   |
| epoch       | 964      |
| loss        | 0.169    |
| type        | training |
--------------------------
965
5 precision:  2.8
10 precision:  4.98
20 precision:  9.06
40 precision:  16.56
--------------------------
| 10precision | 4.98     |
| 10recall    | 0.0297   |
| 20precision | 9.06     |
| 20recall    | 0.0536   |
| 40precision | 16.6     |
| 40recall    | 0.0962   |
| 5precision  | 2.8      |
| 5recall     | 0.017    |
| epoch       | 965      |
| loss        | 0.192    |
| type        | training |
--------------------------
966
5 precision:  2.54
10 precision:  4.46
20 precision:  8.4
40 precision:  15.16
--------------------------
| 10precision | 4.46     |
| 10recall    | 0.0272   |
| 20precision | 8.4      |
| 20recall    | 0.051    |
| 40precision | 15.2     |
| 40recall    | 0.0925   |
| 5precision  | 2.54     |
| 5recall     | 0.0156   |
| epoch       | 966      |
| loss        | 0.1817   |
| type        | training |
--------------------------
967
5 precision:  2.6
10 precision:  4.96
20 precision:  9.5
40 precision:  16.66
--------------------------
| 10precision | 4.96     |
| 10recall    | 0.0282   |
| 20precision | 9.5      |
| 20recall    | 0.0534   |
| 40precision | 16.7     |
| 40recall    | 0.0919   |
| 5precision  | 2.6      |
| 5recall     | 0.0152   |
| epoch       | 967      |
| loss        | 0.1853   |
| type        | training |
--------------------------
968
5 precision:  3.14
10 precision:  5.4
20 precision:  10.16
40 precision:  17.68
--------------------------
| 10precision | 5.4      |
| 10recall    | 0.0334   |
| 20precision | 10.2     |
| 20recall    | 0.0613   |
| 40precision | 17.7     |
| 40recall    | 0.103    |
| 5precision  | 3.14     |
| 5recall     | 0.0196   |
| epoch       | 968      |
| loss        | 0.1688   |
| type        | training |
--------------------------
969
5 precision:  2.84
10 precision:  5.2
20 precision:  9.72
40 precision:  16.68
--------------------------
| 10precision | 5.2      |
| 10recall    | 0.0281   |
| 20precision | 9.72     |
| 20recall    | 0.0525   |
| 40precision | 16.7     |
| 40recall    | 0.0885   |
| 5precision  | 2.84     |
| 5recall     | 0.0153   |
| epoch       | 969      |
| loss        | 0.2065   |
| type        | training |
--------------------------
970
5 precision:  2.58
10 precision:  4.74
20 precision:  8.8
40 precision:  16.3
--------------------------
| 10precision | 4.74     |
| 10recall    | 0.029    |
| 20precision | 8.8      |
| 20recall    | 0.0536   |
| 40precision | 16.3     |
| 40recall    | 0.0976   |
| 5precision  | 2.58     |
| 5recall     | 0.0157   |
| epoch       | 970      |
| loss        | 0.1693   |
| type        | training |
--------------------------
971
5 precision:  2.56
10 precision:  4.72
20 precision:  8.66
40 precision:  15.3
--------------------------
| 10precision | 4.72     |
| 10recall    | 0.0314   |
| 20precision | 8.66     |
| 20recall    | 0.0577   |
| 40precision | 15.3     |
| 40recall    | 0.102    |
| 5precision  | 2.56     |
| 5recall     | 0.0174   |
| epoch       | 971      |
| loss        | 0.1899   |
| type        | training |
--------------------------
972
5 precision:  2.94
10 precision:  5.2
20 precision:  9.08
40 precision:  16.16
--------------------------
| 10precision | 5.2      |
| 10recall    | 0.0326   |
| 20precision | 9.08     |
| 20recall    | 0.0552   |
| 40precision | 16.2     |
| 40recall    | 0.0974   |
| 5precision  | 2.94     |
| 5recall     | 0.0186   |
| epoch       | 972      |
| loss        | 0.1929   |
| type        | training |
--------------------------
973
5 precision:  2.9
10 precision:  5.16
20 precision:  9.14
40 precision:  16.34
--------------------------
| 10precision | 5.16     |
| 10recall    | 0.0293   |
| 20precision | 9.14     |
| 20recall    | 0.0525   |
| 40precision | 16.3     |
| 40recall    | 0.0924   |
| 5precision  | 2.9      |
| 5recall     | 0.0169   |
| epoch       | 973      |
| loss        | 0.1863   |
| type        | training |
--------------------------
974
5 precision:  3.0
10 precision:  5.52
20 precision:  9.7
40 precision:  16.5
--------------------------
| 10precision | 5.52     |
| 10recall    | 0.034    |
| 20precision | 9.7      |
| 20recall    | 0.0579   |
| 40precision | 16.5     |
| 40recall    | 0.0957   |
| 5precision  | 3        |
| 5recall     | 0.0188   |
| epoch       | 974      |
| loss        | 0.1491   |
| type        | training |
--------------------------
975
5 precision:  2.8
10 precision:  4.84
20 precision:  8.6
40 precision:  15.86
--------------------------
| 10precision | 4.84     |
| 10recall    | 0.0285   |
| 20precision | 8.6      |
| 20recall    | 0.0506   |
| 40precision | 15.9     |
| 40recall    | 0.0931   |
| 5precision  | 2.8      |
| 5recall     | 0.0163   |
| epoch       | 975      |
| loss        | 0.1875   |
| type        | training |
--------------------------
976
5 precision:  2.7
10 precision:  4.88
20 precision:  8.62
40 precision:  14.7
--------------------------
| 10precision | 4.88     |
| 10recall    | 0.0277   |
| 20precision | 8.62     |
| 20recall    | 0.0481   |
| 40precision | 14.7     |
| 40recall    | 0.0823   |
| 5precision  | 2.7      |
| 5recall     | 0.0158   |
| epoch       | 976      |
| loss        | 0.1657   |
| type        | training |
--------------------------
977
5 precision:  2.7
10 precision:  5.04
20 precision:  9.36
40 precision:  16.5
--------------------------
| 10precision | 5.04     |
| 10recall    | 0.0278   |
| 20precision | 9.36     |
| 20recall    | 0.053    |
| 40precision | 16.5     |
| 40recall    | 0.092    |
| 5precision  | 2.7      |
| 5recall     | 0.0151   |
| epoch       | 977      |
| loss        | 0.2266   |
| type        | training |
--------------------------
978
5 precision:  3.0
10 precision:  5.3
20 precision:  9.38
40 precision:  16.98
--------------------------
| 10precision | 5.3      |
| 10recall    | 0.0318   |
| 20precision | 9.38     |
| 20recall    | 0.0563   |
| 40precision | 17       |
| 40recall    | 0.102    |
| 5precision  | 3        |
| 5recall     | 0.0181   |
| epoch       | 978      |
| loss        | 0.1616   |
| type        | training |
--------------------------
979
5 precision:  2.6
10 precision:  4.56
20 precision:  8.16
40 precision:  15.06
--------------------------
| 10precision | 4.56     |
| 10recall    | 0.0286   |
| 20precision | 8.16     |
| 20recall    | 0.0502   |
| 40precision | 15.1     |
| 40recall    | 0.0909   |
| 5precision  | 2.6      |
| 5recall     | 0.0164   |
| epoch       | 979      |
| loss        | 0.177    |
| type        | training |
--------------------------
980
5 precision:  2.72
10 precision:  4.96
20 precision:  8.74
40 precision:  15.7
--------------------------
| 10precision | 4.96     |
| 10recall    | 0.0269   |
| 20precision | 8.74     |
| 20recall    | 0.0461   |
| 40precision | 15.7     |
| 40recall    | 0.0817   |
| 5precision  | 2.72     |
| 5recall     | 0.0155   |
| epoch       | 980      |
| loss        | 0.1796   |
| type        | training |
--------------------------
981
5 precision:  2.8
10 precision:  5.32
20 precision:  9.68
40 precision:  17.76
--------------------------
| 10precision | 5.32     |
| 10recall    | 0.0286   |
| 20precision | 9.68     |
| 20recall    | 0.0514   |
| 40precision | 17.8     |
| 40recall    | 0.0931   |
| 5precision  | 2.8      |
| 5recall     | 0.0155   |
| epoch       | 981      |
| loss        | 0.1749   |
| type        | training |
--------------------------
982
5 precision:  2.44
10 precision:  4.62
20 precision:  8.66
40 precision:  15.74
--------------------------
| 10precision | 4.62     |
| 10recall    | 0.0283   |
| 20precision | 8.66     |
| 20recall    | 0.0528   |
| 40precision | 15.7     |
| 40recall    | 0.0949   |
| 5precision  | 2.44     |
| 5recall     | 0.0148   |
| epoch       | 982      |
| loss        | 0.1836   |
| type        | training |
--------------------------
983
5 precision:  2.46
10 precision:  4.9
20 precision:  8.74
40 precision:  15.12
--------------------------
| 10precision | 4.9      |
| 10recall    | 0.0317   |
| 20precision | 8.74     |
| 20recall    | 0.0558   |
| 40precision | 15.1     |
| 40recall    | 0.0948   |
| 5precision  | 2.46     |
| 5recall     | 0.0157   |
| epoch       | 983      |
| loss        | 0.1808   |
| type        | training |
--------------------------
984
5 precision:  2.58
10 precision:  4.82
20 precision:  8.62
40 precision:  16.06
--------------------------
| 10precision | 4.82     |
| 10recall    | 0.0317   |
| 20precision | 8.62     |
| 20recall    | 0.0543   |
| 40precision | 16.1     |
| 40recall    | 0.101    |
| 5precision  | 2.58     |
| 5recall     | 0.0173   |
| epoch       | 984      |
| loss        | 0.2161   |
| type        | training |
--------------------------
985
5 precision:  2.7
10 precision:  4.98
20 precision:  9.32
40 precision:  17.42
--------------------------
| 10precision | 4.98     |
| 10recall    | 0.0284   |
| 20precision | 9.32     |
| 20recall    | 0.0521   |
| 40precision | 17.4     |
| 40recall    | 0.0953   |
| 5precision  | 2.7      |
| 5recall     | 0.0157   |
| epoch       | 985      |
| loss        | 0.161    |
| type        | training |
--------------------------
986
5 precision:  2.52
10 precision:  4.44
20 precision:  8.3
40 precision:  15.14
--------------------------
| 10precision | 4.44     |
| 10recall    | 0.0272   |
| 20precision | 8.3      |
| 20recall    | 0.0507   |
| 40precision | 15.1     |
| 40recall    | 0.0911   |
| 5precision  | 2.52     |
| 5recall     | 0.0154   |
| epoch       | 986      |
| loss        | 0.202    |
| type        | training |
--------------------------
987
5 precision:  2.8
10 precision:  5.24
20 precision:  9.54
40 precision:  16.38
--------------------------
| 10precision | 5.24     |
| 10recall    | 0.0327   |
| 20precision | 9.54     |
| 20recall    | 0.0588   |
| 40precision | 16.4     |
| 40recall    | 0.098    |
| 5precision  | 2.8      |
| 5recall     | 0.0176   |
| epoch       | 987      |
| loss        | 0.168    |
| type        | training |
--------------------------
988
5 precision:  2.56
10 precision:  4.4
20 precision:  8.08
40 precision:  14.56
--------------------------
| 10precision | 4.4      |
| 10recall    | 0.0311   |
| 20precision | 8.08     |
| 20recall    | 0.0561   |
| 40precision | 14.6     |
| 40recall    | 0.1      |
| 5precision  | 2.56     |
| 5recall     | 0.0179   |
| epoch       | 988      |
| loss        | 0.1856   |
| type        | training |
--------------------------
989
5 precision:  2.58
10 precision:  5.38
20 precision:  9.64
40 precision:  17.1
--------------------------
| 10precision | 5.38     |
| 10recall    | 0.0318   |
| 20precision | 9.64     |
| 20recall    | 0.0562   |
| 40precision | 17.1     |
| 40recall    | 0.0987   |
| 5precision  | 2.58     |
| 5recall     | 0.0148   |
| epoch       | 989      |
| loss        | 0.178    |
| type        | training |
--------------------------
990
5 precision:  2.66
10 precision:  4.8
20 precision:  8.84
40 precision:  16.24
--------------------------
| 10precision | 4.8      |
| 10recall    | 0.0274   |
| 20precision | 8.84     |
| 20recall    | 0.0513   |
| 40precision | 16.2     |
| 40recall    | 0.0926   |
| 5precision  | 2.66     |
| 5recall     | 0.0156   |
| epoch       | 990      |
| loss        | 0.1806   |
| type        | training |
--------------------------
991
5 precision:  2.44
10 precision:  4.64
20 precision:  8.54
40 precision:  15.38
--------------------------
| 10precision | 4.64     |
| 10recall    | 0.0286   |
| 20precision | 8.54     |
| 20recall    | 0.0519   |
| 40precision | 15.4     |
| 40recall    | 0.0929   |
| 5precision  | 2.44     |
| 5recall     | 0.0145   |
| epoch       | 991      |
| loss        | 0.1894   |
| type        | training |
--------------------------
992
5 precision:  2.52
10 precision:  4.52
20 precision:  8.54
40 precision:  15.04
--------------------------
| 10precision | 4.52     |
| 10recall    | 0.0265   |
| 20precision | 8.54     |
| 20recall    | 0.0489   |
| 40precision | 15       |
| 40recall    | 0.0858   |
| 5precision  | 2.52     |
| 5recall     | 0.0148   |
| epoch       | 992      |
| loss        | 0.1685   |
| type        | training |
--------------------------
993
5 precision:  2.8
10 precision:  5.12
20 precision:  9.28
40 precision:  16.5
--------------------------
| 10precision | 5.12     |
| 10recall    | 0.0303   |
| 20precision | 9.28     |
| 20recall    | 0.0534   |
| 40precision | 16.5     |
| 40recall    | 0.093    |
| 5precision  | 2.8      |
| 5recall     | 0.0169   |
| epoch       | 993      |
| loss        | 0.2223   |
| type        | training |
--------------------------
994
5 precision:  2.8
10 precision:  5.06
20 precision:  8.9
40 precision:  15.48
--------------------------
| 10precision | 5.06     |
| 10recall    | 0.0338   |
| 20precision | 8.9      |
| 20recall    | 0.0581   |
| 40precision | 15.5     |
| 40recall    | 0.0982   |
| 5precision  | 2.8      |
| 5recall     | 0.0181   |
| epoch       | 994      |
| loss        | 0.173    |
| type        | training |
--------------------------
995
5 precision:  2.46
10 precision:  4.9
20 precision:  8.26
40 precision:  15.02
--------------------------
| 10precision | 4.9      |
| 10recall    | 0.0305   |
| 20precision | 8.26     |
| 20recall    | 0.0522   |
| 40precision | 15       |
| 40recall    | 0.0944   |
| 5precision  | 2.46     |
| 5recall     | 0.0155   |
| epoch       | 995      |
| loss        | 0.1721   |
| type        | training |
--------------------------
996
5 precision:  2.78
10 precision:  5.34
20 precision:  9.62
40 precision:  17.24
--------------------------
| 10precision | 5.34     |
| 10recall    | 0.0299   |
| 20precision | 9.62     |
| 20recall    | 0.0532   |
| 40precision | 17.2     |
| 40recall    | 0.0949   |
| 5precision  | 2.78     |
| 5recall     | 0.0157   |
| epoch       | 996      |
| loss        | 0.188    |
| type        | training |
--------------------------
997
5 precision:  2.6
10 precision:  5.0
20 precision:  9.02
40 precision:  17.12
--------------------------
| 10precision | 5        |
| 10recall    | 0.0291   |
| 20precision | 9.02     |
| 20recall    | 0.0511   |
| 40precision | 17.1     |
| 40recall    | 0.0952   |
| 5precision  | 2.6      |
| 5recall     | 0.0155   |
| epoch       | 997      |
| loss        | 0.1929   |
| type        | training |
--------------------------
998
5 precision:  2.5
10 precision:  4.74
20 precision:  8.88
40 precision:  16.3
--------------------------
| 10precision | 4.74     |
| 10recall    | 0.0252   |
| 20precision | 8.88     |
| 20recall    | 0.0479   |
| 40precision | 16.3     |
| 40recall    | 0.0858   |
| 5precision  | 2.5      |
| 5recall     | 0.0133   |
| epoch       | 998      |
| loss        | 0.1787   |
| type        | training |
--------------------------
999
5 precision:  2.84
10 precision:  5.3
20 precision:  9.3
40 precision:  16.48
--------------------------
| 10precision | 5.3      |
| 10recall    | 0.0324   |
| 20precision | 9.3      |
| 20recall    | 0.0566   |
| 40precision | 16.5     |
| 40recall    | 0.0992   |
| 5precision  | 2.84     |
| 5recall     | 0.0178   |
| epoch       | 999      |
| loss        | 0.1832   |
| type        | training |
--------------------------
1000
5 precision:  3.04
10 precision:  5.4
20 precision:  9.66
40 precision:  16.72
--------------------------
| 10precision | 5.4      |
| 10recall    | 0.0312   |
| 20precision | 9.66     |
| 20recall    | 0.0538   |
| 40precision | 16.7     |
| 40recall    | 0.0929   |
| 5precision  | 3.04     |
| 5recall     | 0.0177   |
| epoch       | 1e+03    |
| loss        | 0.1809   |
| type        | training |
--------------------------
5 precision:  3.5556
10 precision:  6.0556
20 precision:  11.5556
40 precision:  20.5
----------------------------
| 10precision | 6.06       |
| 10recall    | 0.0345     |
| 20precision | 11.6       |
| 20recall    | 0.0646     |
| 40precision | 20.5       |
| 40recall    | 0.112      |
| 5precision  | 3.56       |
| 5recall     | 0.0205     |
| epoch       | 1e+03      |
| type        | validation |
----------------------------
5 precision:  3.5526
10 precision:  6.1316
20 precision:  10.9211
40 precision:  18.0526
----------------------------
| 10precision | 6.13       |
| 10recall    | 0.0367     |
| 20precision | 10.9       |
| 20recall    | 0.0631     |
| 40precision | 18.1       |
| 40recall    | 0.103      |
| 5precision  | 3.55       |
| 5recall     | 0.0222     |
| epoch       | 1e+03      |
| type        | evaluation |
----------------------------
1001
5 precision:  2.52
10 precision:  4.7
20 precision:  8.62
40 precision:  15.64
--------------------------
| 10precision | 4.7      |
| 10recall    | 0.0293   |
| 20precision | 8.62     |
| 20recall    | 0.0521   |
| 40precision | 15.6     |
| 40recall    | 0.0907   |
| 5precision  | 2.52     |
| 5recall     | 0.0147   |
| epoch       | 1e+03    |
| loss        | 0.1702   |
| type        | training |
--------------------------
1002
5 precision:  2.54
10 precision:  4.86
20 precision:  8.38
40 precision:  15.34
--------------------------
| 10precision | 4.86     |
| 10recall    | 0.0301   |
| 20precision | 8.38     |
| 20recall    | 0.0515   |
| 40precision | 15.3     |
| 40recall    | 0.0921   |
| 5precision  | 2.54     |
| 5recall     | 0.0159   |
| epoch       | 1e+03    |
| loss        | 0.1782   |
| type        | training |
--------------------------
1003
5 precision:  2.74
10 precision:  4.68
20 precision:  8.48
40 precision:  15.68
--------------------------
| 10precision | 4.68     |
| 10recall    | 0.0271   |
| 20precision | 8.48     |
| 20recall    | 0.0479   |
| 40precision | 15.7     |
| 40recall    | 0.0894   |
| 5precision  | 2.74     |
| 5recall     | 0.0164   |
| epoch       | 1e+03    |
| loss        | 0.1585   |
| type        | training |
--------------------------
1004
5 precision:  2.52
10 precision:  4.74
20 precision:  8.72
40 precision:  15.44
--------------------------
| 10precision | 4.74     |
| 10recall    | 0.0269   |
| 20precision | 8.72     |
| 20recall    | 0.0493   |
| 40precision | 15.4     |
| 40recall    | 0.086    |
| 5precision  | 2.52     |
| 5recall     | 0.0145   |
| epoch       | 1e+03    |
| loss        | 0.175    |
| type        | training |
--------------------------
1005
5 precision:  2.8
10 precision:  5.34
20 precision:  9.38
40 precision:  16.66
--------------------------
| 10precision | 5.34     |
| 10recall    | 0.0331   |
| 20precision | 9.38     |
| 20recall    | 0.0573   |
| 40precision | 16.7     |
| 40recall    | 0.1      |
| 5precision  | 2.8      |
| 5recall     | 0.0173   |
| epoch       | 1.00e+03 |
| loss        | 0.1704   |
| type        | training |
--------------------------
1006
5 precision:  2.6
10 precision:  4.78
20 precision:  8.8
40 precision:  15.8
--------------------------
| 10precision | 4.78     |
| 10recall    | 0.0297   |
| 20precision | 8.8      |
| 20recall    | 0.053    |
| 40precision | 15.8     |
| 40recall    | 0.0941   |
| 5precision  | 2.6      |
| 5recall     | 0.0165   |
| epoch       | 1.01e+03 |
| loss        | 0.1794   |
| type        | training |
--------------------------
1007
5 precision:  2.76
10 precision:  5.0
20 precision:  8.28
40 precision:  15.02
--------------------------
| 10precision | 5        |
| 10recall    | 0.0338   |
| 20precision | 8.28     |
| 20recall    | 0.0557   |
| 40precision | 15       |
| 40recall    | 0.0997   |
| 5precision  | 2.76     |
| 5recall     | 0.0188   |
| epoch       | 1.01e+03 |
| loss        | 0.1754   |
| type        | training |
--------------------------
1008
5 precision:  2.64
10 precision:  4.94
20 precision:  9.36
40 precision:  16.7
--------------------------
| 10precision | 4.94     |
| 10recall    | 0.0292   |
| 20precision | 9.36     |
| 20recall    | 0.0552   |
| 40precision | 16.7     |
| 40recall    | 0.0951   |
| 5precision  | 2.64     |
| 5recall     | 0.0153   |
| epoch       | 1.01e+03 |
| loss        | 0.1752   |
| type        | training |
--------------------------
1009
5 precision:  3.0
10 precision:  5.46
20 precision:  9.54
40 precision:  17.38
--------------------------
| 10precision | 5.46     |
| 10recall    | 0.0298   |
| 20precision | 9.54     |
| 20recall    | 0.0504   |
| 40precision | 17.4     |
| 40recall    | 0.091    |
| 5precision  | 3        |
| 5recall     | 0.0162   |
| epoch       | 1.01e+03 |
| loss        | 0.166    |
| type        | training |
--------------------------
1010
5 precision:  2.38
10 precision:  4.86
20 precision:  8.4
40 precision:  15.48
--------------------------
| 10precision | 4.86     |
| 10recall    | 0.0296   |
| 20precision | 8.4      |
| 20recall    | 0.0509   |
| 40precision | 15.5     |
| 40recall    | 0.0935   |
| 5precision  | 2.38     |
| 5recall     | 0.0146   |
| epoch       | 1.01e+03 |
| loss        | 0.1868   |
| type        | training |
--------------------------
1011
5 precision:  2.9
10 precision:  5.3
20 precision:  9.38
40 precision:  16.76
--------------------------
| 10precision | 5.3      |
| 10recall    | 0.0336   |
| 20precision | 9.38     |
| 20recall    | 0.0572   |
| 40precision | 16.8     |
| 40recall    | 0.101    |
| 5precision  | 2.9      |
| 5recall     | 0.0192   |
| epoch       | 1.01e+03 |
| loss        | 0.1915   |
| type        | training |
--------------------------
1012
5 precision:  2.84
10 precision:  5.16
20 precision:  9.46
40 precision:  16.74
--------------------------
| 10precision | 5.16     |
| 10recall    | 0.0322   |
| 20precision | 9.46     |
| 20recall    | 0.0581   |
| 40precision | 16.7     |
| 40recall    | 0.0996   |
| 5precision  | 2.84     |
| 5recall     | 0.0178   |
| epoch       | 1.01e+03 |
| loss        | 0.2022   |
| type        | training |
--------------------------
1013
5 precision:  2.68
10 precision:  4.86
20 precision:  8.5
40 precision:  15.44
--------------------------
| 10precision | 4.86     |
| 10recall    | 0.0268   |
| 20precision | 8.5      |
| 20recall    | 0.0455   |
| 40precision | 15.4     |
| 40recall    | 0.0813   |
| 5precision  | 2.68     |
| 5recall     | 0.0144   |
| epoch       | 1.01e+03 |
| loss        | 0.1692   |
| type        | training |
--------------------------
1014
5 precision:  2.58
10 precision:  5.02
20 precision:  9.0
40 precision:  15.94
--------------------------
| 10precision | 5.02     |
| 10recall    | 0.0308   |
| 20precision | 9        |
| 20recall    | 0.0539   |
| 40precision | 15.9     |
| 40recall    | 0.0914   |
| 5precision  | 2.58     |
| 5recall     | 0.0163   |
| epoch       | 1.01e+03 |
| loss        | 0.1685   |
| type        | training |
--------------------------
1015
5 precision:  2.72
10 precision:  4.94
20 precision:  8.68
40 precision:  15.18
--------------------------
| 10precision | 4.94     |
| 10recall    | 0.0338   |
| 20precision | 8.68     |
| 20recall    | 0.0572   |
| 40precision | 15.2     |
| 40recall    | 0.0959   |
| 5precision  | 2.72     |
| 5recall     | 0.0184   |
| epoch       | 1.02e+03 |
| loss        | 0.2037   |
| type        | training |
--------------------------
1016
5 precision:  2.66
10 precision:  4.78
20 precision:  9.02
40 precision:  15.14
--------------------------
| 10precision | 4.78     |
| 10recall    | 0.0277   |
| 20precision | 9.02     |
| 20recall    | 0.0507   |
| 40precision | 15.1     |
| 40recall    | 0.0842   |
| 5precision  | 2.66     |
| 5recall     | 0.0159   |
| epoch       | 1.02e+03 |
| loss        | 0.1821   |
| type        | training |
--------------------------
1017
5 precision:  2.74
10 precision:  5.14
20 precision:  9.1
40 precision:  16.12
--------------------------
| 10precision | 5.14     |
| 10recall    | 0.0304   |
| 20precision | 9.1      |
| 20recall    | 0.0526   |
| 40precision | 16.1     |
| 40recall    | 0.0924   |
| 5precision  | 2.74     |
| 5recall     | 0.0167   |
| epoch       | 1.02e+03 |
| loss        | 0.213    |
| type        | training |
--------------------------
1018
5 precision:  2.68
10 precision:  4.82
20 precision:  8.44
40 precision:  15.68
--------------------------
| 10precision | 4.82     |
| 10recall    | 0.0316   |
| 20precision | 8.44     |
| 20recall    | 0.0549   |
| 40precision | 15.7     |
| 40recall    | 0.0994   |
| 5precision  | 2.68     |
| 5recall     | 0.0176   |
| epoch       | 1.02e+03 |
| loss        | 0.1976   |
| type        | training |
--------------------------
1019
5 precision:  2.92
10 precision:  5.48
20 precision:  9.7
40 precision:  16.56
--------------------------
| 10precision | 5.48     |
| 10recall    | 0.0318   |
| 20precision | 9.7      |
| 20recall    | 0.0553   |
| 40precision | 16.6     |
| 40recall    | 0.0931   |
| 5precision  | 2.92     |
| 5recall     | 0.0174   |
| epoch       | 1.02e+03 |
| loss        | 0.1908   |
| type        | training |
--------------------------
1020
5 precision:  2.68
10 precision:  4.8
20 precision:  8.52
40 precision:  14.9
--------------------------
| 10precision | 4.8      |
| 10recall    | 0.0321   |
| 20precision | 8.52     |
| 20recall    | 0.0558   |
| 40precision | 14.9     |
| 40recall    | 0.0988   |
| 5precision  | 2.68     |
| 5recall     | 0.0187   |
| epoch       | 1.02e+03 |
| loss        | 0.1706   |
| type        | training |
--------------------------
1021
5 precision:  2.56
10 precision:  4.96
20 precision:  8.82
40 precision:  15.38
--------------------------
| 10precision | 4.96     |
| 10recall    | 0.032    |
| 20precision | 8.82     |
| 20recall    | 0.055    |
| 40precision | 15.4     |
| 40recall    | 0.0936   |
| 5precision  | 2.56     |
| 5recall     | 0.0162   |
| epoch       | 1.02e+03 |
| loss        | 0.2      |
| type        | training |
--------------------------
1022
5 precision:  2.74
10 precision:  5.22
20 precision:  9.22
40 precision:  15.98
--------------------------
| 10precision | 5.22     |
| 10recall    | 0.0366   |
| 20precision | 9.22     |
| 20recall    | 0.0631   |
| 40precision | 16       |
| 40recall    | 0.106    |
| 5precision  | 2.74     |
| 5recall     | 0.0195   |
| epoch       | 1.02e+03 |
| loss        | 0.1706   |
| type        | training |
--------------------------
1023
5 precision:  2.46
10 precision:  4.8
20 precision:  8.72
40 precision:  15.46
--------------------------
| 10precision | 4.8      |
| 10recall    | 0.0301   |
| 20precision | 8.72     |
| 20recall    | 0.0526   |
| 40precision | 15.5     |
| 40recall    | 0.0919   |
| 5precision  | 2.46     |
| 5recall     | 0.0156   |
| epoch       | 1.02e+03 |
| loss        | 0.2011   |
| type        | training |
--------------------------
1024
5 precision:  2.72
10 precision:  5.12
20 precision:  9.02
40 precision:  15.9
--------------------------
| 10precision | 5.12     |
| 10recall    | 0.0303   |
| 20precision | 9.02     |
| 20recall    | 0.0525   |
| 40precision | 15.9     |
| 40recall    | 0.0922   |
| 5precision  | 2.72     |
| 5recall     | 0.0159   |
| epoch       | 1.02e+03 |
| loss        | 0.2031   |
| type        | training |
--------------------------
1025
5 precision:  2.52
10 precision:  4.62
20 precision:  8.36
40 precision:  15.44
--------------------------
| 10precision | 4.62     |
| 10recall    | 0.0305   |
| 20precision | 8.36     |
| 20recall    | 0.0542   |
| 40precision | 15.4     |
| 40recall    | 0.0976   |
| 5precision  | 2.52     |
| 5recall     | 0.0171   |
| epoch       | 1.02e+03 |
| loss        | 0.1721   |
| type        | training |
--------------------------
1026
5 precision:  2.9
10 precision:  5.04
20 precision:  9.42
40 precision:  17.16
--------------------------
| 10precision | 5.04     |
| 10recall    | 0.0299   |
| 20precision | 9.42     |
| 20recall    | 0.0548   |
| 40precision | 17.2     |
| 40recall    | 0.0983   |
| 5precision  | 2.9      |
| 5recall     | 0.0176   |
| epoch       | 1.03e+03 |
| loss        | 0.1729   |
| type        | training |
--------------------------
1027
5 precision:  2.82
10 precision:  5.06
20 precision:  9.24
40 precision:  16.4
--------------------------
| 10precision | 5.06     |
| 10recall    | 0.0311   |
| 20precision | 9.24     |
| 20recall    | 0.0559   |
| 40precision | 16.4     |
| 40recall    | 0.097    |
| 5precision  | 2.82     |
| 5recall     | 0.0173   |
| epoch       | 1.03e+03 |
| loss        | 0.1751   |
| type        | training |
--------------------------
1028
5 precision:  2.8
10 precision:  4.92
20 precision:  9.18
40 precision:  15.82
--------------------------
| 10precision | 4.92     |
| 10recall    | 0.029    |
| 20precision | 9.18     |
| 20recall    | 0.0531   |
| 40precision | 15.8     |
| 40recall    | 0.0897   |
| 5precision  | 2.8      |
| 5recall     | 0.0173   |
| epoch       | 1.03e+03 |
| loss        | 0.1816   |
| type        | training |
--------------------------
1029
5 precision:  2.62
10 precision:  4.22
20 precision:  7.92
40 precision:  14.28
--------------------------
| 10precision | 4.22     |
| 10recall    | 0.0284   |
| 20precision | 7.92     |
| 20recall    | 0.0538   |
| 40precision | 14.3     |
| 40recall    | 0.0963   |
| 5precision  | 2.62     |
| 5recall     | 0.0181   |
| epoch       | 1.03e+03 |
| loss        | 0.1753   |
| type        | training |
--------------------------
1030
5 precision:  2.66
10 precision:  5.14
20 precision:  9.38
40 precision:  16.42
--------------------------
| 10precision | 5.14     |
| 10recall    | 0.0302   |
| 20precision | 9.38     |
| 20recall    | 0.0538   |
| 40precision | 16.4     |
| 40recall    | 0.0919   |
| 5precision  | 2.66     |
| 5recall     | 0.0159   |
| epoch       | 1.03e+03 |
| loss        | 0.1814   |
| type        | training |
--------------------------
1031
5 precision:  2.84
10 precision:  5.32
20 precision:  9.72
40 precision:  17.34
--------------------------
| 10precision | 5.32     |
| 10recall    | 0.031    |
| 20precision | 9.72     |
| 20recall    | 0.0548   |
| 40precision | 17.3     |
| 40recall    | 0.0942   |
| 5precision  | 2.84     |
| 5recall     | 0.0169   |
| epoch       | 1.03e+03 |
| loss        | 0.1907   |
| type        | training |
--------------------------
1032
5 precision:  2.98
10 precision:  5.06
20 precision:  9.16
40 precision:  16.8
--------------------------
| 10precision | 5.06     |
| 10recall    | 0.0281   |
| 20precision | 9.16     |
| 20recall    | 0.0503   |
| 40precision | 16.8     |
| 40recall    | 0.09     |
| 5precision  | 2.98     |
| 5recall     | 0.0164   |
| epoch       | 1.03e+03 |
| loss        | 0.194    |
| type        | training |
--------------------------
1033

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