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nerugm-lora-r16-3

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README.md CHANGED
@@ -1,15 +1,8 @@
1
  ---
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- language:
3
- - id
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  license: mit
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  base_model: indolem/indobert-base-uncased
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  tags:
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  - generated_from_trainer
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- metrics:
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- - precision
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- - recall
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- - f1
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- - accuracy
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  model-index:
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  - name: nerugm-lora-r16-3
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  results: []
@@ -22,11 +15,31 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1566
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- - Precision: 0.6859
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- - Recall: 0.8559
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- - F1: 0.7615
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- - Accuracy: 0.9474
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Model description
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@@ -51,32 +64,112 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 20.0
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | 1.1713 | 1.0 | 106 | 0.7071 | 0.0 | 0.0 | 0.0 | 0.8409 |
61
- | 0.6926 | 2.0 | 212 | 0.5931 | 0.1429 | 0.0029 | 0.0056 | 0.8424 |
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- | 0.5817 | 3.0 | 318 | 0.4742 | 0.2267 | 0.0490 | 0.0806 | 0.8569 |
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- | 0.4666 | 4.0 | 424 | 0.3594 | 0.3830 | 0.2594 | 0.3093 | 0.8892 |
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- | 0.3704 | 5.0 | 530 | 0.2813 | 0.5507 | 0.5793 | 0.5646 | 0.9224 |
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- | 0.3059 | 6.0 | 636 | 0.2549 | 0.5788 | 0.7406 | 0.6498 | 0.9309 |
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- | 0.2714 | 7.0 | 742 | 0.2204 | 0.5861 | 0.7550 | 0.6599 | 0.9340 |
67
- | 0.2413 | 8.0 | 848 | 0.2004 | 0.6198 | 0.7752 | 0.6889 | 0.9387 |
68
- | 0.2254 | 9.0 | 954 | 0.1819 | 0.6587 | 0.7896 | 0.7182 | 0.9437 |
69
- | 0.2124 | 10.0 | 1060 | 0.1823 | 0.6345 | 0.8156 | 0.7137 | 0.9413 |
70
- | 0.2005 | 11.0 | 1166 | 0.1730 | 0.6574 | 0.8184 | 0.7291 | 0.9435 |
71
- | 0.1936 | 12.0 | 1272 | 0.1724 | 0.6531 | 0.8300 | 0.7310 | 0.9437 |
72
- | 0.185 | 13.0 | 1378 | 0.1612 | 0.6768 | 0.8329 | 0.7468 | 0.9471 |
73
- | 0.1832 | 14.0 | 1484 | 0.1620 | 0.6713 | 0.8415 | 0.7468 | 0.9459 |
74
- | 0.1779 | 15.0 | 1590 | 0.1660 | 0.6637 | 0.8530 | 0.7465 | 0.9447 |
75
- | 0.1728 | 16.0 | 1696 | 0.1620 | 0.6796 | 0.8559 | 0.7577 | 0.9464 |
76
- | 0.175 | 17.0 | 1802 | 0.1595 | 0.6789 | 0.8530 | 0.7561 | 0.9462 |
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- | 0.1735 | 18.0 | 1908 | 0.1573 | 0.6868 | 0.8530 | 0.7609 | 0.9476 |
78
- | 0.1699 | 19.0 | 2014 | 0.1570 | 0.6852 | 0.8530 | 0.7599 | 0.9474 |
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- | 0.1701 | 20.0 | 2120 | 0.1566 | 0.6859 | 0.8559 | 0.7615 | 0.9474 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
1
  ---
 
 
2
  license: mit
3
  base_model: indolem/indobert-base-uncased
4
  tags:
5
  - generated_from_trainer
 
 
 
 
 
6
  model-index:
7
  - name: nerugm-lora-r16-3
8
  results: []
 
15
 
16
  This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
+ - Loss: 0.1397
19
+ - Location Precision: 0.7439
20
+ - Location Recall: 0.8592
21
+ - Location F1: 0.7974
22
+ - Location Number: 71
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+ - Organization Precision: 0.6292
24
+ - Organization Recall: 0.8615
25
+ - Organization F1: 0.7273
26
+ - Organization Number: 65
27
+ - Person Precision: 0.8598
28
+ - Person Recall: 0.94
29
+ - Person F1: 0.8981
30
+ - Person Number: 150
31
+ - Quantity Precision: 0.6923
32
+ - Quantity Recall: 0.8182
33
+ - Quantity F1: 0.7500
34
+ - Quantity Number: 33
35
+ - Time Precision: 0.8065
36
+ - Time Recall: 0.8929
37
+ - Time F1: 0.8475
38
+ - Time Number: 28
39
+ - Overall Precision: 0.7654
40
+ - Overall Recall: 0.8934
41
+ - Overall F1: 0.8245
42
+ - Overall Accuracy: 0.9590
43
 
44
  ## Model description
45
 
 
64
  - seed: 42
65
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
66
  - lr_scheduler_type: linear
67
+ - num_epochs: 100.0
68
 
69
  ### Training results
70
 
71
+ | Training Loss | Epoch | Step | Validation Loss | Location Precision | Location Recall | Location F1 | Location Number | Organization Precision | Organization Recall | Organization F1 | Organization Number | Person Precision | Person Recall | Person F1 | Person Number | Quantity Precision | Quantity Recall | Quantity F1 | Quantity Number | Time Precision | Time Recall | Time F1 | Time Number | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
72
+ |:-------------:|:-----:|:-----:|:---------------:|:------------------:|:---------------:|:-----------:|:---------------:|:----------------------:|:-------------------:|:---------------:|:-------------------:|:----------------:|:-------------:|:---------:|:-------------:|:------------------:|:---------------:|:-----------:|:---------------:|:--------------:|:-----------:|:-------:|:-----------:|:-----------------:|:--------------:|:----------:|:----------------:|
73
+ | 1.1688 | 1.0 | 106 | 0.6974 | 0.0 | 0.0 | 0.0 | 71 | 0.0 | 0.0 | 0.0 | 65 | 0.0 | 0.0 | 0.0 | 150 | 0.0 | 0.0 | 0.0 | 33 | 0.0 | 0.0 | 0.0 | 28 | 0.0 | 0.0 | 0.0 | 0.8409 |
74
+ | 0.6848 | 2.0 | 212 | 0.5788 | 0.0 | 0.0 | 0.0 | 71 | 0.0 | 0.0 | 0.0 | 65 | 0.25 | 0.0067 | 0.0130 | 150 | 0.0 | 0.0 | 0.0 | 33 | 0.0 | 0.0 | 0.0 | 28 | 0.1429 | 0.0029 | 0.0056 | 0.8426 |
75
+ | 0.5741 | 3.0 | 318 | 0.4598 | 0.2222 | 0.0282 | 0.05 | 71 | 0.0833 | 0.0154 | 0.0260 | 65 | 0.2540 | 0.1067 | 0.1502 | 150 | 0.0 | 0.0 | 0.0 | 33 | 0.1429 | 0.0714 | 0.0952 | 28 | 0.2143 | 0.0605 | 0.0944 | 0.8618 |
76
+ | 0.4442 | 4.0 | 424 | 0.3291 | 0.4667 | 0.2958 | 0.3621 | 71 | 0.2667 | 0.1231 | 0.1684 | 65 | 0.6107 | 0.6067 | 0.6087 | 150 | 0.0 | 0.0 | 0.0 | 33 | 0.5833 | 0.5 | 0.5385 | 28 | 0.5134 | 0.3862 | 0.4408 | 0.9057 |
77
+ | 0.3357 | 5.0 | 530 | 0.2546 | 0.5 | 0.5493 | 0.5235 | 71 | 0.4359 | 0.5231 | 0.4755 | 65 | 0.7345 | 0.8667 | 0.7951 | 150 | 0.3684 | 0.4242 | 0.3944 | 33 | 0.5862 | 0.6071 | 0.5965 | 28 | 0.585 | 0.6744 | 0.6265 | 0.9290 |
78
+ | 0.2731 | 6.0 | 636 | 0.2349 | 0.5889 | 0.7465 | 0.6584 | 71 | 0.4845 | 0.7231 | 0.5802 | 65 | 0.7432 | 0.9067 | 0.8168 | 150 | 0.3261 | 0.4545 | 0.3797 | 33 | 0.6061 | 0.7143 | 0.6557 | 28 | 0.6036 | 0.7810 | 0.6809 | 0.9348 |
79
+ | 0.2395 | 7.0 | 742 | 0.1961 | 0.5730 | 0.7183 | 0.6375 | 71 | 0.5357 | 0.6923 | 0.6040 | 65 | 0.7569 | 0.9133 | 0.8278 | 150 | 0.3953 | 0.5152 | 0.4474 | 33 | 0.5758 | 0.6786 | 0.6230 | 28 | 0.6256 | 0.7752 | 0.6924 | 0.9384 |
80
+ | 0.2135 | 8.0 | 848 | 0.1853 | 0.6593 | 0.8451 | 0.7407 | 71 | 0.5 | 0.7538 | 0.6012 | 65 | 0.7771 | 0.9067 | 0.8369 | 150 | 0.4318 | 0.5758 | 0.4935 | 33 | 0.5758 | 0.6786 | 0.6230 | 28 | 0.6417 | 0.8156 | 0.7183 | 0.9403 |
81
+ | 0.1977 | 9.0 | 954 | 0.1670 | 0.6941 | 0.8310 | 0.7564 | 71 | 0.6049 | 0.7538 | 0.6712 | 65 | 0.7988 | 0.8733 | 0.8344 | 150 | 0.4211 | 0.4848 | 0.4507 | 33 | 0.6667 | 0.7143 | 0.6897 | 28 | 0.6910 | 0.7925 | 0.7383 | 0.9452 |
82
+ | 0.1876 | 10.0 | 1060 | 0.1671 | 0.7262 | 0.8592 | 0.7871 | 71 | 0.5204 | 0.7846 | 0.6258 | 65 | 0.7714 | 0.9 | 0.8308 | 150 | 0.4651 | 0.6061 | 0.5263 | 33 | 0.6667 | 0.7857 | 0.7213 | 28 | 0.6674 | 0.8329 | 0.7410 | 0.9457 |
83
+ | 0.1747 | 11.0 | 1166 | 0.1635 | 0.6737 | 0.9014 | 0.7711 | 71 | 0.5652 | 0.8 | 0.6624 | 65 | 0.7849 | 0.9 | 0.8385 | 150 | 0.4773 | 0.6364 | 0.5455 | 33 | 0.6875 | 0.7857 | 0.7333 | 28 | 0.6759 | 0.8473 | 0.7519 | 0.9464 |
84
+ | 0.1685 | 12.0 | 1272 | 0.1576 | 0.7093 | 0.8592 | 0.7771 | 71 | 0.5667 | 0.7846 | 0.6581 | 65 | 0.7714 | 0.9 | 0.8308 | 150 | 0.4889 | 0.6667 | 0.5641 | 33 | 0.7273 | 0.8571 | 0.7869 | 28 | 0.6830 | 0.8444 | 0.7552 | 0.9493 |
85
+ | 0.161 | 13.0 | 1378 | 0.1468 | 0.7349 | 0.8592 | 0.7922 | 71 | 0.5699 | 0.8154 | 0.6709 | 65 | 0.8 | 0.9067 | 0.8500 | 150 | 0.5349 | 0.6970 | 0.6053 | 33 | 0.6667 | 0.7857 | 0.7213 | 28 | 0.6991 | 0.8501 | 0.7672 | 0.9505 |
86
+ | 0.158 | 14.0 | 1484 | 0.1500 | 0.7294 | 0.8732 | 0.7949 | 71 | 0.5521 | 0.8154 | 0.6584 | 65 | 0.7849 | 0.9 | 0.8385 | 150 | 0.5581 | 0.7273 | 0.6316 | 33 | 0.7273 | 0.8571 | 0.7869 | 28 | 0.6946 | 0.8588 | 0.7680 | 0.9503 |
87
+ | 0.1512 | 15.0 | 1590 | 0.1599 | 0.7176 | 0.8592 | 0.7821 | 71 | 0.5243 | 0.8308 | 0.6429 | 65 | 0.7965 | 0.9133 | 0.8509 | 150 | 0.6279 | 0.8182 | 0.7105 | 33 | 0.7576 | 0.8929 | 0.8197 | 28 | 0.6972 | 0.8761 | 0.7765 | 0.9491 |
88
+ | 0.1473 | 16.0 | 1696 | 0.1513 | 0.7195 | 0.8310 | 0.7712 | 71 | 0.5977 | 0.8 | 0.6842 | 65 | 0.7941 | 0.9 | 0.8438 | 150 | 0.6 | 0.8182 | 0.6923 | 33 | 0.7812 | 0.8929 | 0.8333 | 28 | 0.7163 | 0.8588 | 0.7811 | 0.9520 |
89
+ | 0.1477 | 17.0 | 1802 | 0.1440 | 0.7284 | 0.8310 | 0.7763 | 71 | 0.5843 | 0.8 | 0.6753 | 65 | 0.7988 | 0.9 | 0.8464 | 150 | 0.5952 | 0.7576 | 0.6667 | 33 | 0.8065 | 0.8929 | 0.8475 | 28 | 0.7184 | 0.8530 | 0.7800 | 0.9530 |
90
+ | 0.1428 | 18.0 | 1908 | 0.1429 | 0.7229 | 0.8451 | 0.7792 | 71 | 0.6023 | 0.8154 | 0.6928 | 65 | 0.7941 | 0.9 | 0.8438 | 150 | 0.5952 | 0.7576 | 0.6667 | 33 | 0.7576 | 0.8929 | 0.8197 | 28 | 0.7163 | 0.8588 | 0.7811 | 0.9532 |
91
+ | 0.1379 | 19.0 | 2014 | 0.1367 | 0.7381 | 0.8732 | 0.8 | 71 | 0.5684 | 0.8308 | 0.675 | 65 | 0.8084 | 0.9 | 0.8517 | 150 | 0.675 | 0.8182 | 0.7397 | 33 | 0.7812 | 0.8929 | 0.8333 | 28 | 0.7249 | 0.8732 | 0.7922 | 0.9551 |
92
+ | 0.1365 | 20.0 | 2120 | 0.1357 | 0.7349 | 0.8592 | 0.7922 | 71 | 0.5814 | 0.7692 | 0.6623 | 65 | 0.8084 | 0.9 | 0.8517 | 150 | 0.6341 | 0.7879 | 0.7027 | 33 | 0.7576 | 0.8929 | 0.8197 | 28 | 0.7244 | 0.8559 | 0.7847 | 0.9561 |
93
+ | 0.1317 | 21.0 | 2226 | 0.1382 | 0.7407 | 0.8451 | 0.7895 | 71 | 0.5730 | 0.7846 | 0.6623 | 65 | 0.8084 | 0.9 | 0.8517 | 150 | 0.6190 | 0.7879 | 0.6933 | 33 | 0.7576 | 0.8929 | 0.8197 | 28 | 0.7209 | 0.8559 | 0.7826 | 0.9549 |
94
+ | 0.132 | 22.0 | 2332 | 0.1577 | 0.6889 | 0.8732 | 0.7702 | 71 | 0.5096 | 0.8154 | 0.6272 | 65 | 0.7849 | 0.9 | 0.8385 | 150 | 0.5778 | 0.7879 | 0.6667 | 33 | 0.7059 | 0.8571 | 0.7742 | 28 | 0.6742 | 0.8646 | 0.7576 | 0.9467 |
95
+ | 0.1259 | 23.0 | 2438 | 0.1343 | 0.7625 | 0.8592 | 0.8079 | 71 | 0.5714 | 0.8 | 0.6667 | 65 | 0.8084 | 0.9 | 0.8517 | 150 | 0.65 | 0.7879 | 0.7123 | 33 | 0.7273 | 0.8571 | 0.7869 | 28 | 0.7251 | 0.8588 | 0.7863 | 0.9559 |
96
+ | 0.1245 | 24.0 | 2544 | 0.1403 | 0.7349 | 0.8592 | 0.7922 | 71 | 0.5532 | 0.8 | 0.6541 | 65 | 0.8144 | 0.9067 | 0.8580 | 150 | 0.6190 | 0.7879 | 0.6933 | 33 | 0.7273 | 0.8571 | 0.7869 | 28 | 0.7136 | 0.8617 | 0.7807 | 0.9532 |
97
+ | 0.1196 | 25.0 | 2650 | 0.1431 | 0.75 | 0.8451 | 0.7947 | 71 | 0.5579 | 0.8154 | 0.6625 | 65 | 0.8144 | 0.9067 | 0.8580 | 150 | 0.5778 | 0.7879 | 0.6667 | 33 | 0.7273 | 0.8571 | 0.7869 | 28 | 0.7119 | 0.8617 | 0.7797 | 0.9520 |
98
+ | 0.1226 | 26.0 | 2756 | 0.1389 | 0.75 | 0.8451 | 0.7947 | 71 | 0.5934 | 0.8308 | 0.6923 | 65 | 0.8155 | 0.9133 | 0.8616 | 150 | 0.5909 | 0.7879 | 0.6753 | 33 | 0.7576 | 0.8929 | 0.8197 | 28 | 0.7260 | 0.8703 | 0.7916 | 0.9544 |
99
+ | 0.1184 | 27.0 | 2862 | 0.1430 | 0.7284 | 0.8310 | 0.7763 | 71 | 0.5934 | 0.8308 | 0.6923 | 65 | 0.8204 | 0.9133 | 0.8644 | 150 | 0.5778 | 0.7879 | 0.6667 | 33 | 0.7273 | 0.8571 | 0.7869 | 28 | 0.7194 | 0.8646 | 0.7853 | 0.9532 |
100
+ | 0.1165 | 28.0 | 2968 | 0.1396 | 0.7595 | 0.8451 | 0.8 | 71 | 0.5870 | 0.8308 | 0.6879 | 65 | 0.8193 | 0.9067 | 0.8608 | 150 | 0.6047 | 0.7879 | 0.6842 | 33 | 0.7576 | 0.8929 | 0.8197 | 28 | 0.7288 | 0.8674 | 0.7921 | 0.9547 |
101
+ | 0.1148 | 29.0 | 3074 | 0.1400 | 0.7375 | 0.8310 | 0.7815 | 71 | 0.5684 | 0.8308 | 0.675 | 65 | 0.8155 | 0.9133 | 0.8616 | 150 | 0.6190 | 0.7879 | 0.6933 | 33 | 0.7576 | 0.8929 | 0.8197 | 28 | 0.7201 | 0.8674 | 0.7869 | 0.9525 |
102
+ | 0.1114 | 30.0 | 3180 | 0.1347 | 0.7531 | 0.8592 | 0.8026 | 71 | 0.5806 | 0.8308 | 0.6835 | 65 | 0.8193 | 0.9067 | 0.8608 | 150 | 0.6190 | 0.7879 | 0.6933 | 33 | 0.7576 | 0.8929 | 0.8197 | 28 | 0.7277 | 0.8703 | 0.7927 | 0.9544 |
103
+ | 0.1147 | 31.0 | 3286 | 0.1368 | 0.75 | 0.8451 | 0.7947 | 71 | 0.5889 | 0.8154 | 0.6839 | 65 | 0.8095 | 0.9067 | 0.8553 | 150 | 0.6047 | 0.7879 | 0.6842 | 33 | 0.7576 | 0.8929 | 0.8197 | 28 | 0.7246 | 0.8646 | 0.7884 | 0.9544 |
104
+ | 0.1093 | 32.0 | 3392 | 0.1389 | 0.7375 | 0.8310 | 0.7815 | 71 | 0.6067 | 0.8308 | 0.7013 | 65 | 0.8204 | 0.9133 | 0.8644 | 150 | 0.6047 | 0.7879 | 0.6842 | 33 | 0.7059 | 0.8571 | 0.7742 | 28 | 0.7264 | 0.8646 | 0.7895 | 0.9542 |
105
+ | 0.1085 | 33.0 | 3498 | 0.1398 | 0.7375 | 0.8310 | 0.7815 | 71 | 0.5934 | 0.8308 | 0.6923 | 65 | 0.8095 | 0.9067 | 0.8553 | 150 | 0.6190 | 0.7879 | 0.6933 | 33 | 0.7576 | 0.8929 | 0.8197 | 28 | 0.7246 | 0.8646 | 0.7884 | 0.9539 |
106
+ | 0.1074 | 34.0 | 3604 | 0.1385 | 0.7590 | 0.8873 | 0.8182 | 71 | 0.6 | 0.8308 | 0.6968 | 65 | 0.8155 | 0.9133 | 0.8616 | 150 | 0.6047 | 0.7879 | 0.6842 | 33 | 0.7576 | 0.8929 | 0.8197 | 28 | 0.7314 | 0.8790 | 0.7984 | 0.9549 |
107
+ | 0.1065 | 35.0 | 3710 | 0.1401 | 0.7561 | 0.8732 | 0.8105 | 71 | 0.6067 | 0.8308 | 0.7013 | 65 | 0.8107 | 0.9133 | 0.8589 | 150 | 0.6047 | 0.7879 | 0.6842 | 33 | 0.7576 | 0.8929 | 0.8197 | 28 | 0.7308 | 0.8761 | 0.7969 | 0.9547 |
108
+ | 0.1038 | 36.0 | 3816 | 0.1475 | 0.7407 | 0.8451 | 0.7895 | 71 | 0.5978 | 0.8462 | 0.7006 | 65 | 0.8166 | 0.92 | 0.8652 | 150 | 0.5909 | 0.7879 | 0.6753 | 33 | 0.7059 | 0.8571 | 0.7742 | 28 | 0.7214 | 0.8732 | 0.7901 | 0.9522 |
109
+ | 0.1048 | 37.0 | 3922 | 0.1522 | 0.7294 | 0.8732 | 0.7949 | 71 | 0.5789 | 0.8462 | 0.6875 | 65 | 0.8393 | 0.94 | 0.8868 | 150 | 0.6 | 0.8182 | 0.6923 | 33 | 0.6765 | 0.8214 | 0.7419 | 28 | 0.7213 | 0.8876 | 0.7959 | 0.9510 |
110
+ | 0.1045 | 38.0 | 4028 | 0.1409 | 0.7195 | 0.8310 | 0.7712 | 71 | 0.6111 | 0.8462 | 0.7097 | 65 | 0.8323 | 0.9267 | 0.8770 | 150 | 0.6 | 0.8182 | 0.6923 | 33 | 0.7273 | 0.8571 | 0.7869 | 28 | 0.7290 | 0.8761 | 0.7958 | 0.9530 |
111
+ | 0.1048 | 39.0 | 4134 | 0.1403 | 0.7407 | 0.8451 | 0.7895 | 71 | 0.5978 | 0.8462 | 0.7006 | 65 | 0.8443 | 0.94 | 0.8896 | 150 | 0.6667 | 0.7879 | 0.7222 | 33 | 0.7812 | 0.8929 | 0.8333 | 28 | 0.7470 | 0.8847 | 0.8100 | 0.9549 |
112
+ | 0.0993 | 40.0 | 4240 | 0.1353 | 0.7561 | 0.8732 | 0.8105 | 71 | 0.6067 | 0.8308 | 0.7013 | 65 | 0.8274 | 0.9267 | 0.8742 | 150 | 0.6667 | 0.7879 | 0.7222 | 33 | 0.7812 | 0.8929 | 0.8333 | 28 | 0.7463 | 0.8818 | 0.8085 | 0.9566 |
113
+ | 0.1005 | 41.0 | 4346 | 0.1419 | 0.7439 | 0.8592 | 0.7974 | 71 | 0.5870 | 0.8308 | 0.6879 | 65 | 0.8333 | 0.9333 | 0.8805 | 150 | 0.6341 | 0.7879 | 0.7027 | 33 | 0.7576 | 0.8929 | 0.8197 | 28 | 0.7356 | 0.8818 | 0.8021 | 0.9544 |
114
+ | 0.0972 | 42.0 | 4452 | 0.1368 | 0.7407 | 0.8451 | 0.7895 | 71 | 0.5934 | 0.8308 | 0.6923 | 65 | 0.8323 | 0.9267 | 0.8770 | 150 | 0.675 | 0.8182 | 0.7397 | 33 | 0.7812 | 0.8929 | 0.8333 | 28 | 0.7421 | 0.8790 | 0.8047 | 0.9568 |
115
+ | 0.0972 | 43.0 | 4558 | 0.1299 | 0.75 | 0.8451 | 0.7947 | 71 | 0.6092 | 0.8154 | 0.6974 | 65 | 0.8313 | 0.92 | 0.8734 | 150 | 0.6842 | 0.7879 | 0.7324 | 33 | 0.7812 | 0.8929 | 0.8333 | 28 | 0.7494 | 0.8703 | 0.8053 | 0.9585 |
116
+ | 0.099 | 44.0 | 4664 | 0.1324 | 0.7531 | 0.8592 | 0.8026 | 71 | 0.5870 | 0.8308 | 0.6879 | 65 | 0.8214 | 0.92 | 0.8679 | 150 | 0.65 | 0.7879 | 0.7123 | 33 | 0.7812 | 0.8929 | 0.8333 | 28 | 0.7361 | 0.8761 | 0.8000 | 0.9571 |
117
+ | 0.0966 | 45.0 | 4770 | 0.1332 | 0.7531 | 0.8592 | 0.8026 | 71 | 0.5955 | 0.8154 | 0.6883 | 65 | 0.8424 | 0.9267 | 0.8825 | 150 | 0.6341 | 0.7879 | 0.7027 | 33 | 0.7353 | 0.8929 | 0.8065 | 28 | 0.7415 | 0.8761 | 0.8032 | 0.9583 |
118
+ | 0.0969 | 46.0 | 4876 | 0.1267 | 0.75 | 0.8451 | 0.7947 | 71 | 0.6092 | 0.8154 | 0.6974 | 65 | 0.8466 | 0.92 | 0.8818 | 150 | 0.6667 | 0.7879 | 0.7222 | 33 | 0.8065 | 0.8929 | 0.8475 | 28 | 0.755 | 0.8703 | 0.8086 | 0.9597 |
119
+ | 0.0946 | 47.0 | 4982 | 0.1459 | 0.7317 | 0.8451 | 0.7843 | 71 | 0.6333 | 0.8769 | 0.7355 | 65 | 0.8333 | 0.9333 | 0.8805 | 150 | 0.6190 | 0.7879 | 0.6933 | 33 | 0.7273 | 0.8571 | 0.7869 | 28 | 0.7398 | 0.8847 | 0.8058 | 0.9551 |
120
+ | 0.0953 | 48.0 | 5088 | 0.1343 | 0.7470 | 0.8732 | 0.8052 | 71 | 0.6207 | 0.8308 | 0.7105 | 65 | 0.8274 | 0.9267 | 0.8742 | 150 | 0.65 | 0.7879 | 0.7123 | 33 | 0.7812 | 0.8929 | 0.8333 | 28 | 0.7463 | 0.8818 | 0.8085 | 0.9573 |
121
+ | 0.0946 | 49.0 | 5194 | 0.1368 | 0.7470 | 0.8732 | 0.8052 | 71 | 0.6207 | 0.8308 | 0.7105 | 65 | 0.8274 | 0.9267 | 0.8742 | 150 | 0.65 | 0.7879 | 0.7123 | 33 | 0.7812 | 0.8929 | 0.8333 | 28 | 0.7463 | 0.8818 | 0.8085 | 0.9568 |
122
+ | 0.0929 | 50.0 | 5300 | 0.1368 | 0.7439 | 0.8592 | 0.7974 | 71 | 0.6292 | 0.8615 | 0.7273 | 65 | 0.8323 | 0.9267 | 0.8770 | 150 | 0.65 | 0.7879 | 0.7123 | 33 | 0.7812 | 0.8929 | 0.8333 | 28 | 0.7488 | 0.8847 | 0.8111 | 0.9573 |
123
+ | 0.0899 | 51.0 | 5406 | 0.1374 | 0.7407 | 0.8451 | 0.7895 | 71 | 0.6437 | 0.8615 | 0.7368 | 65 | 0.8323 | 0.9267 | 0.8770 | 150 | 0.6341 | 0.7879 | 0.7027 | 33 | 0.75 | 0.8571 | 0.8000 | 28 | 0.7475 | 0.8790 | 0.8079 | 0.9571 |
124
+ | 0.0912 | 52.0 | 5512 | 0.1391 | 0.7284 | 0.8310 | 0.7763 | 71 | 0.6364 | 0.8615 | 0.7320 | 65 | 0.8650 | 0.94 | 0.9010 | 150 | 0.65 | 0.7879 | 0.7123 | 33 | 0.75 | 0.8571 | 0.8000 | 28 | 0.7574 | 0.8818 | 0.8149 | 0.9578 |
125
+ | 0.0886 | 53.0 | 5618 | 0.1418 | 0.7317 | 0.8451 | 0.7843 | 71 | 0.6292 | 0.8615 | 0.7273 | 65 | 0.8333 | 0.9333 | 0.8805 | 150 | 0.6190 | 0.7879 | 0.6933 | 33 | 0.75 | 0.8571 | 0.8000 | 28 | 0.7409 | 0.8818 | 0.8053 | 0.9564 |
126
+ | 0.0871 | 54.0 | 5724 | 0.1499 | 0.7317 | 0.8451 | 0.7843 | 71 | 0.5876 | 0.8769 | 0.7037 | 65 | 0.8284 | 0.9333 | 0.8777 | 150 | 0.65 | 0.7879 | 0.7123 | 33 | 0.75 | 0.8571 | 0.8000 | 28 | 0.7310 | 0.8847 | 0.8005 | 0.9530 |
127
+ | 0.0881 | 55.0 | 5830 | 0.1423 | 0.7317 | 0.8451 | 0.7843 | 71 | 0.6333 | 0.8769 | 0.7355 | 65 | 0.8383 | 0.9333 | 0.8833 | 150 | 0.6190 | 0.7879 | 0.6933 | 33 | 0.75 | 0.8571 | 0.8000 | 28 | 0.7433 | 0.8847 | 0.8079 | 0.9571 |
128
+ | 0.0873 | 56.0 | 5936 | 0.1360 | 0.7407 | 0.8451 | 0.7895 | 71 | 0.6477 | 0.8769 | 0.7451 | 65 | 0.8364 | 0.92 | 0.8762 | 150 | 0.6842 | 0.7879 | 0.7324 | 33 | 0.7812 | 0.8929 | 0.8333 | 28 | 0.7574 | 0.8818 | 0.8149 | 0.9585 |
129
+ | 0.0863 | 57.0 | 6042 | 0.1433 | 0.7284 | 0.8310 | 0.7763 | 71 | 0.6333 | 0.8769 | 0.7355 | 65 | 0.8494 | 0.94 | 0.8924 | 150 | 0.6279 | 0.8182 | 0.7105 | 33 | 0.7273 | 0.8571 | 0.7869 | 28 | 0.7458 | 0.8876 | 0.8105 | 0.9566 |
130
+ | 0.0874 | 58.0 | 6148 | 0.1379 | 0.7439 | 0.8592 | 0.7974 | 71 | 0.6292 | 0.8615 | 0.7273 | 65 | 0.8704 | 0.94 | 0.9038 | 150 | 0.675 | 0.8182 | 0.7397 | 33 | 0.75 | 0.8571 | 0.8000 | 28 | 0.7630 | 0.8905 | 0.8218 | 0.9593 |
131
+ | 0.086 | 59.0 | 6254 | 0.1369 | 0.7407 | 0.8451 | 0.7895 | 71 | 0.6264 | 0.8769 | 0.7308 | 65 | 0.8528 | 0.9267 | 0.8882 | 150 | 0.6667 | 0.7879 | 0.7222 | 33 | 0.7812 | 0.8929 | 0.8333 | 28 | 0.7562 | 0.8847 | 0.8154 | 0.9588 |
132
+ | 0.0872 | 60.0 | 6360 | 0.1370 | 0.7407 | 0.8451 | 0.7895 | 71 | 0.6044 | 0.8462 | 0.7051 | 65 | 0.8650 | 0.94 | 0.9010 | 150 | 0.6341 | 0.7879 | 0.7027 | 33 | 0.75 | 0.8571 | 0.8000 | 28 | 0.75 | 0.8818 | 0.8106 | 0.9581 |
133
+ | 0.0861 | 61.0 | 6466 | 0.1375 | 0.7407 | 0.8451 | 0.7895 | 71 | 0.6180 | 0.8462 | 0.7143 | 65 | 0.8598 | 0.94 | 0.8981 | 150 | 0.6667 | 0.7879 | 0.7222 | 33 | 0.75 | 0.8571 | 0.8000 | 28 | 0.7556 | 0.8818 | 0.8138 | 0.9581 |
134
+ | 0.0832 | 62.0 | 6572 | 0.1370 | 0.7407 | 0.8451 | 0.7895 | 71 | 0.6111 | 0.8462 | 0.7097 | 65 | 0.8598 | 0.94 | 0.8981 | 150 | 0.65 | 0.7879 | 0.7123 | 33 | 0.75 | 0.8571 | 0.8000 | 28 | 0.7518 | 0.8818 | 0.8117 | 0.9578 |
135
+ | 0.0864 | 63.0 | 6678 | 0.1362 | 0.7531 | 0.8592 | 0.8026 | 71 | 0.6292 | 0.8615 | 0.7273 | 65 | 0.8598 | 0.94 | 0.8981 | 150 | 0.65 | 0.7879 | 0.7123 | 33 | 0.75 | 0.8571 | 0.8000 | 28 | 0.7586 | 0.8876 | 0.8181 | 0.9583 |
136
+ | 0.083 | 64.0 | 6784 | 0.1410 | 0.7317 | 0.8451 | 0.7843 | 71 | 0.6404 | 0.8769 | 0.7403 | 65 | 0.8598 | 0.94 | 0.8981 | 150 | 0.675 | 0.8182 | 0.7397 | 33 | 0.75 | 0.8571 | 0.8000 | 28 | 0.7592 | 0.8905 | 0.8196 | 0.9581 |
137
+ | 0.0836 | 65.0 | 6890 | 0.1362 | 0.7439 | 0.8592 | 0.7974 | 71 | 0.6222 | 0.8615 | 0.7226 | 65 | 0.8424 | 0.9267 | 0.8825 | 150 | 0.675 | 0.8182 | 0.7397 | 33 | 0.8065 | 0.8929 | 0.8475 | 28 | 0.7549 | 0.8876 | 0.8159 | 0.9588 |
138
+ | 0.0829 | 66.0 | 6996 | 0.1430 | 0.7317 | 0.8451 | 0.7843 | 71 | 0.6333 | 0.8769 | 0.7355 | 65 | 0.8323 | 0.9267 | 0.8770 | 150 | 0.6429 | 0.8182 | 0.7200 | 33 | 0.75 | 0.8571 | 0.8000 | 28 | 0.7433 | 0.8847 | 0.8079 | 0.9566 |
139
+ | 0.0828 | 67.0 | 7102 | 0.1390 | 0.7317 | 0.8451 | 0.7843 | 71 | 0.6222 | 0.8615 | 0.7226 | 65 | 0.8537 | 0.9333 | 0.8917 | 150 | 0.6341 | 0.7879 | 0.7027 | 33 | 0.75 | 0.8571 | 0.8000 | 28 | 0.7482 | 0.8818 | 0.8095 | 0.9576 |
140
+ | 0.0806 | 68.0 | 7208 | 0.1343 | 0.7531 | 0.8592 | 0.8026 | 71 | 0.625 | 0.8462 | 0.7190 | 65 | 0.8650 | 0.94 | 0.9010 | 150 | 0.6842 | 0.7879 | 0.7324 | 33 | 0.8065 | 0.8929 | 0.8475 | 28 | 0.7681 | 0.8876 | 0.8235 | 0.9597 |
141
+ | 0.0816 | 69.0 | 7314 | 0.1378 | 0.7439 | 0.8592 | 0.7974 | 71 | 0.6333 | 0.8769 | 0.7355 | 65 | 0.8545 | 0.94 | 0.8952 | 150 | 0.65 | 0.7879 | 0.7123 | 33 | 0.7812 | 0.8929 | 0.8333 | 28 | 0.7579 | 0.8934 | 0.8201 | 0.9583 |
142
+ | 0.0786 | 70.0 | 7420 | 0.1374 | 0.7407 | 0.8451 | 0.7895 | 71 | 0.6477 | 0.8769 | 0.7451 | 65 | 0.8545 | 0.94 | 0.8952 | 150 | 0.65 | 0.7879 | 0.7123 | 33 | 0.7742 | 0.8571 | 0.8136 | 28 | 0.7605 | 0.8876 | 0.8191 | 0.9590 |
143
+ | 0.0813 | 71.0 | 7526 | 0.1460 | 0.7439 | 0.8592 | 0.7974 | 71 | 0.6129 | 0.8769 | 0.7215 | 65 | 0.8554 | 0.9467 | 0.8987 | 150 | 0.6585 | 0.8182 | 0.7297 | 33 | 0.75 | 0.8571 | 0.8000 | 28 | 0.7512 | 0.8963 | 0.8173 | 0.9564 |
144
+ | 0.0811 | 72.0 | 7632 | 0.1375 | 0.7407 | 0.8451 | 0.7895 | 71 | 0.6364 | 0.8615 | 0.7320 | 65 | 0.8545 | 0.94 | 0.8952 | 150 | 0.65 | 0.7879 | 0.7123 | 33 | 0.7812 | 0.8929 | 0.8333 | 28 | 0.7586 | 0.8876 | 0.8181 | 0.9588 |
145
+ | 0.0797 | 73.0 | 7738 | 0.1369 | 0.7439 | 0.8592 | 0.7974 | 71 | 0.6222 | 0.8615 | 0.7226 | 65 | 0.8650 | 0.94 | 0.9010 | 150 | 0.6842 | 0.7879 | 0.7324 | 33 | 0.8065 | 0.8929 | 0.8475 | 28 | 0.7649 | 0.8905 | 0.8229 | 0.9595 |
146
+ | 0.0803 | 74.0 | 7844 | 0.1350 | 0.7561 | 0.8732 | 0.8105 | 71 | 0.6364 | 0.8615 | 0.7320 | 65 | 0.8650 | 0.94 | 0.9010 | 150 | 0.6842 | 0.7879 | 0.7324 | 33 | 0.8065 | 0.8929 | 0.8475 | 28 | 0.7711 | 0.8934 | 0.8278 | 0.9605 |
147
+ | 0.0781 | 75.0 | 7950 | 0.1355 | 0.7439 | 0.8592 | 0.7974 | 71 | 0.625 | 0.8462 | 0.7190 | 65 | 0.8537 | 0.9333 | 0.8917 | 150 | 0.6667 | 0.7879 | 0.7222 | 33 | 0.7812 | 0.8929 | 0.8333 | 28 | 0.7580 | 0.8847 | 0.8165 | 0.9593 |
148
+ | 0.0794 | 76.0 | 8056 | 0.1370 | 0.7439 | 0.8592 | 0.7974 | 71 | 0.6222 | 0.8615 | 0.7226 | 65 | 0.8537 | 0.9333 | 0.8917 | 150 | 0.6923 | 0.8182 | 0.7500 | 33 | 0.7812 | 0.8929 | 0.8333 | 28 | 0.7592 | 0.8905 | 0.8196 | 0.9590 |
149
+ | 0.0814 | 77.0 | 8162 | 0.1353 | 0.7531 | 0.8592 | 0.8026 | 71 | 0.6136 | 0.8308 | 0.7059 | 65 | 0.8485 | 0.9333 | 0.8889 | 150 | 0.7105 | 0.8182 | 0.7606 | 33 | 0.7812 | 0.8929 | 0.8333 | 28 | 0.7599 | 0.8847 | 0.8176 | 0.9593 |
150
+ | 0.0788 | 78.0 | 8268 | 0.1362 | 0.7531 | 0.8592 | 0.8026 | 71 | 0.6180 | 0.8462 | 0.7143 | 65 | 0.8485 | 0.9333 | 0.8889 | 150 | 0.6842 | 0.7879 | 0.7324 | 33 | 0.8065 | 0.8929 | 0.8475 | 28 | 0.7599 | 0.8847 | 0.8176 | 0.9588 |
151
+ | 0.079 | 79.0 | 8374 | 0.1448 | 0.7317 | 0.8451 | 0.7843 | 71 | 0.6264 | 0.8769 | 0.7308 | 65 | 0.8598 | 0.94 | 0.8981 | 150 | 0.6429 | 0.8182 | 0.7200 | 33 | 0.75 | 0.8571 | 0.8000 | 28 | 0.7518 | 0.8905 | 0.8153 | 0.9571 |
152
+ | 0.0788 | 80.0 | 8480 | 0.1435 | 0.7439 | 0.8592 | 0.7974 | 71 | 0.6333 | 0.8769 | 0.7355 | 65 | 0.8545 | 0.94 | 0.8952 | 150 | 0.6429 | 0.8182 | 0.7200 | 33 | 0.7742 | 0.8571 | 0.8136 | 28 | 0.7561 | 0.8934 | 0.8190 | 0.9578 |
153
+ | 0.0786 | 81.0 | 8586 | 0.1373 | 0.7561 | 0.8732 | 0.8105 | 71 | 0.6180 | 0.8462 | 0.7143 | 65 | 0.8650 | 0.94 | 0.9010 | 150 | 0.6667 | 0.7879 | 0.7222 | 33 | 0.8065 | 0.8929 | 0.8475 | 28 | 0.7649 | 0.8905 | 0.8229 | 0.9593 |
154
+ | 0.0792 | 82.0 | 8692 | 0.1378 | 0.7561 | 0.8732 | 0.8105 | 71 | 0.6322 | 0.8462 | 0.7237 | 65 | 0.8650 | 0.94 | 0.9010 | 150 | 0.6842 | 0.7879 | 0.7324 | 33 | 0.8065 | 0.8929 | 0.8475 | 28 | 0.7706 | 0.8905 | 0.8262 | 0.9600 |
155
+ | 0.0784 | 83.0 | 8798 | 0.1361 | 0.7531 | 0.8592 | 0.8026 | 71 | 0.6207 | 0.8308 | 0.7105 | 65 | 0.8704 | 0.94 | 0.9038 | 150 | 0.6923 | 0.8182 | 0.7500 | 33 | 0.8065 | 0.8929 | 0.8475 | 28 | 0.77 | 0.8876 | 0.8246 | 0.9602 |
156
+ | 0.0767 | 84.0 | 8904 | 0.1369 | 0.7561 | 0.8732 | 0.8105 | 71 | 0.6364 | 0.8615 | 0.7320 | 65 | 0.8704 | 0.94 | 0.9038 | 150 | 0.6667 | 0.7879 | 0.7222 | 33 | 0.8333 | 0.8929 | 0.8621 | 28 | 0.7731 | 0.8934 | 0.8289 | 0.9607 |
157
+ | 0.079 | 85.0 | 9010 | 0.1404 | 0.7195 | 0.8310 | 0.7712 | 71 | 0.6333 | 0.8769 | 0.7355 | 65 | 0.8598 | 0.94 | 0.8981 | 150 | 0.6842 | 0.7879 | 0.7324 | 33 | 0.8333 | 0.8929 | 0.8621 | 28 | 0.7624 | 0.8876 | 0.8202 | 0.9590 |
158
+ | 0.0751 | 86.0 | 9116 | 0.1368 | 0.7439 | 0.8592 | 0.7974 | 71 | 0.6207 | 0.8308 | 0.7105 | 65 | 0.8598 | 0.94 | 0.8981 | 150 | 0.6923 | 0.8182 | 0.7500 | 33 | 0.8065 | 0.8929 | 0.8475 | 28 | 0.7643 | 0.8876 | 0.8213 | 0.9595 |
159
+ | 0.0776 | 87.0 | 9222 | 0.1375 | 0.7439 | 0.8592 | 0.7974 | 71 | 0.6067 | 0.8308 | 0.7013 | 65 | 0.8598 | 0.94 | 0.8981 | 150 | 0.6667 | 0.7879 | 0.7222 | 33 | 0.8065 | 0.8929 | 0.8475 | 28 | 0.7580 | 0.8847 | 0.8165 | 0.9588 |
160
+ | 0.0759 | 88.0 | 9328 | 0.1394 | 0.7284 | 0.8310 | 0.7763 | 71 | 0.6404 | 0.8769 | 0.7403 | 65 | 0.8598 | 0.94 | 0.8981 | 150 | 0.65 | 0.7879 | 0.7123 | 33 | 0.8065 | 0.8929 | 0.8475 | 28 | 0.7605 | 0.8876 | 0.8191 | 0.9583 |
161
+ | 0.0755 | 89.0 | 9434 | 0.1392 | 0.7439 | 0.8592 | 0.7974 | 71 | 0.6292 | 0.8615 | 0.7273 | 65 | 0.8650 | 0.94 | 0.9010 | 150 | 0.675 | 0.8182 | 0.7397 | 33 | 0.7742 | 0.8571 | 0.8136 | 28 | 0.7630 | 0.8905 | 0.8218 | 0.9590 |
162
+ | 0.0767 | 90.0 | 9540 | 0.1382 | 0.7407 | 0.8451 | 0.7895 | 71 | 0.6292 | 0.8615 | 0.7273 | 65 | 0.8704 | 0.94 | 0.9038 | 150 | 0.6842 | 0.7879 | 0.7324 | 33 | 0.8065 | 0.8929 | 0.8475 | 28 | 0.7681 | 0.8876 | 0.8235 | 0.9595 |
163
+ | 0.0763 | 91.0 | 9646 | 0.1383 | 0.7439 | 0.8592 | 0.7974 | 71 | 0.6292 | 0.8615 | 0.7273 | 65 | 0.8598 | 0.94 | 0.8981 | 150 | 0.65 | 0.7879 | 0.7123 | 33 | 0.8065 | 0.8929 | 0.8475 | 28 | 0.7611 | 0.8905 | 0.8207 | 0.9588 |
164
+ | 0.078 | 92.0 | 9752 | 0.1382 | 0.7439 | 0.8592 | 0.7974 | 71 | 0.6292 | 0.8615 | 0.7273 | 65 | 0.8650 | 0.94 | 0.9010 | 150 | 0.65 | 0.7879 | 0.7123 | 33 | 0.8065 | 0.8929 | 0.8475 | 28 | 0.7630 | 0.8905 | 0.8218 | 0.9590 |
165
+ | 0.0744 | 93.0 | 9858 | 0.1387 | 0.7439 | 0.8592 | 0.7974 | 71 | 0.6292 | 0.8615 | 0.7273 | 65 | 0.8650 | 0.94 | 0.9010 | 150 | 0.65 | 0.7879 | 0.7123 | 33 | 0.8065 | 0.8929 | 0.8475 | 28 | 0.7630 | 0.8905 | 0.8218 | 0.9590 |
166
+ | 0.0721 | 94.0 | 9964 | 0.1380 | 0.7439 | 0.8592 | 0.7974 | 71 | 0.6364 | 0.8615 | 0.7320 | 65 | 0.8650 | 0.94 | 0.9010 | 150 | 0.6842 | 0.7879 | 0.7324 | 33 | 0.8065 | 0.8929 | 0.8475 | 28 | 0.7687 | 0.8905 | 0.8251 | 0.9600 |
167
+ | 0.0754 | 95.0 | 10070 | 0.1395 | 0.7439 | 0.8592 | 0.7974 | 71 | 0.6292 | 0.8615 | 0.7273 | 65 | 0.8650 | 0.94 | 0.9010 | 150 | 0.6667 | 0.7879 | 0.7222 | 33 | 0.8065 | 0.8929 | 0.8475 | 28 | 0.7649 | 0.8905 | 0.8229 | 0.9593 |
168
+ | 0.0747 | 96.0 | 10176 | 0.1391 | 0.7439 | 0.8592 | 0.7974 | 71 | 0.6364 | 0.8615 | 0.7320 | 65 | 0.8650 | 0.94 | 0.9010 | 150 | 0.6667 | 0.7879 | 0.7222 | 33 | 0.8065 | 0.8929 | 0.8475 | 28 | 0.7667 | 0.8905 | 0.824 | 0.9595 |
169
+ | 0.0759 | 97.0 | 10282 | 0.1394 | 0.7439 | 0.8592 | 0.7974 | 71 | 0.6292 | 0.8615 | 0.7273 | 65 | 0.8598 | 0.94 | 0.8981 | 150 | 0.6923 | 0.8182 | 0.7500 | 33 | 0.8065 | 0.8929 | 0.8475 | 28 | 0.7654 | 0.8934 | 0.8245 | 0.9593 |
170
+ | 0.0752 | 98.0 | 10388 | 0.1397 | 0.7439 | 0.8592 | 0.7974 | 71 | 0.6292 | 0.8615 | 0.7273 | 65 | 0.8598 | 0.94 | 0.8981 | 150 | 0.6923 | 0.8182 | 0.7500 | 33 | 0.8065 | 0.8929 | 0.8475 | 28 | 0.7654 | 0.8934 | 0.8245 | 0.9590 |
171
+ | 0.0726 | 99.0 | 10494 | 0.1395 | 0.7439 | 0.8592 | 0.7974 | 71 | 0.6292 | 0.8615 | 0.7273 | 65 | 0.8598 | 0.94 | 0.8981 | 150 | 0.6923 | 0.8182 | 0.7500 | 33 | 0.8065 | 0.8929 | 0.8475 | 28 | 0.7654 | 0.8934 | 0.8245 | 0.9590 |
172
+ | 0.0755 | 100.0 | 10600 | 0.1397 | 0.7439 | 0.8592 | 0.7974 | 71 | 0.6292 | 0.8615 | 0.7273 | 65 | 0.8598 | 0.94 | 0.8981 | 150 | 0.6923 | 0.8182 | 0.7500 | 33 | 0.8065 | 0.8929 | 0.8475 | 28 | 0.7654 | 0.8934 | 0.8245 | 0.9590 |
173
 
174
 
175
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