apwic commited on
Commit
c8298e9
1 Parent(s): 0125c15

Model save

Browse files
Files changed (1) hide show
  1. README.md +128 -35
README.md CHANGED
@@ -1,15 +1,8 @@
1
  ---
2
- language:
3
- - id
4
  license: mit
5
  base_model: indolem/indobert-base-uncased
6
  tags:
7
  - generated_from_trainer
8
- metrics:
9
- - precision
10
- - recall
11
- - f1
12
- - accuracy
13
  model-index:
14
  - name: nerugm-base-0
15
  results: []
@@ -22,11 +15,31 @@ should probably proofread and complete it, then remove this comment. -->
22
 
23
  This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on an unknown dataset.
24
  It achieves the following results on the evaluation set:
25
- - Loss: 0.2749
26
- - Precision: 0.8234
27
- - Recall: 0.8964
28
- - F1: 0.8584
29
- - Accuracy: 0.9631
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
30
 
31
  ## Model description
32
 
@@ -51,32 +64,112 @@ The following hyperparameters were used during training:
51
  - seed: 42
52
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
53
  - lr_scheduler_type: linear
54
- - num_epochs: 20.0
55
 
56
  ### Training results
57
 
58
- | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
59
- |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
60
- | 0.3551 | 1.0 | 106 | 0.1873 | 0.6789 | 0.8757 | 0.7649 | 0.9414 |
61
- | 0.1199 | 2.0 | 212 | 0.1308 | 0.7602 | 0.8817 | 0.8164 | 0.9611 |
62
- | 0.0746 | 3.0 | 318 | 0.1383 | 0.7755 | 0.8787 | 0.8239 | 0.9618 |
63
- | 0.0497 | 4.0 | 424 | 0.1717 | 0.7922 | 0.8462 | 0.8183 | 0.9554 |
64
- | 0.0289 | 5.0 | 530 | 0.1706 | 0.8027 | 0.8787 | 0.8390 | 0.9621 |
65
- | 0.023 | 6.0 | 636 | 0.1929 | 0.7688 | 0.8757 | 0.8188 | 0.9585 |
66
- | 0.0161 | 7.0 | 742 | 0.2457 | 0.7769 | 0.8757 | 0.8234 | 0.9539 |
67
- | 0.0106 | 8.0 | 848 | 0.2450 | 0.7926 | 0.8817 | 0.8347 | 0.9572 |
68
- | 0.0065 | 9.0 | 954 | 0.2315 | 0.8150 | 0.8994 | 0.8551 | 0.9629 |
69
- | 0.0053 | 10.0 | 1060 | 0.2373 | 0.8147 | 0.8846 | 0.8482 | 0.9626 |
70
- | 0.004 | 11.0 | 1166 | 0.2421 | 0.8283 | 0.8846 | 0.8555 | 0.9639 |
71
- | 0.003 | 12.0 | 1272 | 0.2572 | 0.808 | 0.8964 | 0.8499 | 0.9621 |
72
- | 0.0027 | 13.0 | 1378 | 0.2516 | 0.8135 | 0.8905 | 0.8503 | 0.9616 |
73
- | 0.0012 | 14.0 | 1484 | 0.2636 | 0.8123 | 0.8964 | 0.8523 | 0.9649 |
74
- | 0.002 | 15.0 | 1590 | 0.2672 | 0.8091 | 0.8905 | 0.8479 | 0.9626 |
75
- | 0.0012 | 16.0 | 1696 | 0.2610 | 0.8130 | 0.8876 | 0.8487 | 0.9634 |
76
- | 0.001 | 17.0 | 1802 | 0.2694 | 0.8251 | 0.8935 | 0.8580 | 0.9631 |
77
- | 0.0012 | 18.0 | 1908 | 0.2815 | 0.8177 | 0.9024 | 0.8579 | 0.9626 |
78
- | 0.0012 | 19.0 | 2014 | 0.2723 | 0.8229 | 0.8935 | 0.8567 | 0.9629 |
79
- | 0.0008 | 20.0 | 2120 | 0.2749 | 0.8234 | 0.8964 | 0.8584 | 0.9631 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
80
 
81
 
82
  ### 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-base-0
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: 0.3575
19
+ - Location Precision: 0.8553
20
+ - Location Recall: 0.9420
21
+ - Location F1: 0.8966
22
+ - Location Number: 69
23
+ - Organization Precision: 0.6935
24
+ - Organization Recall: 0.7414
25
+ - Organization F1: 0.7167
26
+ - Organization Number: 58
27
+ - Person Precision: 0.8910
28
+ - Person Recall: 0.9145
29
+ - Person F1: 0.9026
30
+ - Person Number: 152
31
+ - Quantity Precision: 0.8125
32
+ - Quantity Recall: 0.8667
33
+ - Quantity F1: 0.8387
34
+ - Quantity Number: 30
35
+ - Time Precision: 0.7812
36
+ - Time Recall: 0.8621
37
+ - Time F1: 0.8197
38
+ - Time Number: 29
39
+ - Overall Precision: 0.8324
40
+ - Overall Recall: 0.8817
41
+ - Overall F1: 0.8563
42
+ - Overall Accuracy: 0.9639
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
+ | 0.3599 | 1.0 | 106 | 0.1317 | 0.7922 | 0.8841 | 0.8356 | 69 | 0.4921 | 0.5345 | 0.5124 | 58 | 0.8214 | 0.9079 | 0.8625 | 152 | 0.6364 | 0.7 | 0.6667 | 30 | 0.8125 | 0.8966 | 0.8525 | 29 | 0.7426 | 0.8195 | 0.7792 | 0.9570 |
74
+ | 0.1201 | 2.0 | 212 | 0.1442 | 0.75 | 0.8696 | 0.8054 | 69 | 0.6528 | 0.8103 | 0.7231 | 58 | 0.8537 | 0.9211 | 0.8861 | 152 | 0.525 | 0.7 | 0.6 | 30 | 0.6857 | 0.8276 | 0.75 | 29 | 0.7468 | 0.8639 | 0.8011 | 0.9580 |
75
+ | 0.0789 | 3.0 | 318 | 0.1576 | 0.7294 | 0.8986 | 0.8052 | 69 | 0.64 | 0.8276 | 0.7218 | 58 | 0.7989 | 0.9145 | 0.8528 | 152 | 0.7714 | 0.9 | 0.8308 | 30 | 0.8667 | 0.8966 | 0.8814 | 29 | 0.7569 | 0.8935 | 0.8195 | 0.9547 |
76
+ | 0.0497 | 4.0 | 424 | 0.1576 | 0.7722 | 0.8841 | 0.8243 | 69 | 0.7 | 0.8448 | 0.7656 | 58 | 0.8704 | 0.9276 | 0.8981 | 152 | 0.7647 | 0.8667 | 0.8125 | 30 | 0.6857 | 0.8276 | 0.75 | 29 | 0.7921 | 0.8905 | 0.8384 | 0.9629 |
77
+ | 0.0304 | 5.0 | 530 | 0.1808 | 0.8356 | 0.8841 | 0.8592 | 69 | 0.6393 | 0.6724 | 0.6555 | 58 | 0.8491 | 0.8882 | 0.8682 | 152 | 0.7647 | 0.8667 | 0.8125 | 30 | 0.8621 | 0.8621 | 0.8621 | 29 | 0.8034 | 0.8462 | 0.8242 | 0.9603 |
78
+ | 0.0258 | 6.0 | 636 | 0.1898 | 0.7590 | 0.9130 | 0.8289 | 69 | 0.5968 | 0.6379 | 0.6167 | 58 | 0.8726 | 0.9013 | 0.8867 | 152 | 0.7879 | 0.8667 | 0.8254 | 30 | 0.7647 | 0.8966 | 0.8254 | 29 | 0.7832 | 0.8550 | 0.8175 | 0.9590 |
79
+ | 0.0151 | 7.0 | 742 | 0.2270 | 0.7778 | 0.9130 | 0.84 | 69 | 0.6607 | 0.6379 | 0.6491 | 58 | 0.8519 | 0.9079 | 0.8790 | 152 | 0.7941 | 0.9 | 0.8438 | 30 | 0.6944 | 0.8621 | 0.7692 | 29 | 0.7859 | 0.8580 | 0.8204 | 0.9588 |
80
+ | 0.0124 | 8.0 | 848 | 0.2596 | 0.8052 | 0.8986 | 0.8493 | 69 | 0.6267 | 0.8103 | 0.7068 | 58 | 0.8466 | 0.9079 | 0.8762 | 152 | 0.7879 | 0.8667 | 0.8254 | 30 | 0.7812 | 0.8621 | 0.8197 | 29 | 0.7842 | 0.8817 | 0.8301 | 0.9570 |
81
+ | 0.0088 | 9.0 | 954 | 0.2630 | 0.8077 | 0.9130 | 0.8571 | 69 | 0.6812 | 0.8103 | 0.7402 | 58 | 0.8107 | 0.9013 | 0.8536 | 152 | 0.7879 | 0.8667 | 0.8254 | 30 | 0.8065 | 0.8621 | 0.8333 | 29 | 0.7842 | 0.8817 | 0.8301 | 0.9562 |
82
+ | 0.0083 | 10.0 | 1060 | 0.2329 | 0.7975 | 0.9130 | 0.8514 | 69 | 0.6753 | 0.8966 | 0.7704 | 58 | 0.8773 | 0.9408 | 0.9079 | 152 | 0.7059 | 0.8 | 0.7500 | 30 | 0.8 | 0.8276 | 0.8136 | 29 | 0.7990 | 0.9053 | 0.8488 | 0.9631 |
83
+ | 0.0088 | 11.0 | 1166 | 0.2398 | 0.8077 | 0.9130 | 0.8571 | 69 | 0.6769 | 0.7586 | 0.7154 | 58 | 0.8333 | 0.9211 | 0.875 | 152 | 0.7353 | 0.8333 | 0.7812 | 30 | 0.7879 | 0.8966 | 0.8387 | 29 | 0.7884 | 0.8817 | 0.8324 | 0.9611 |
84
+ | 0.007 | 12.0 | 1272 | 0.2358 | 0.7722 | 0.8841 | 0.8243 | 69 | 0.7344 | 0.8103 | 0.7705 | 58 | 0.8701 | 0.8816 | 0.8758 | 152 | 0.7576 | 0.8333 | 0.7937 | 30 | 0.8667 | 0.8966 | 0.8814 | 29 | 0.8139 | 0.8669 | 0.8395 | 0.9624 |
85
+ | 0.0061 | 13.0 | 1378 | 0.2447 | 0.8333 | 0.8696 | 0.8511 | 69 | 0.6889 | 0.5345 | 0.6019 | 58 | 0.8790 | 0.9079 | 0.8932 | 152 | 0.7429 | 0.8667 | 0.8 | 30 | 0.8667 | 0.8966 | 0.8814 | 29 | 0.8289 | 0.8314 | 0.8301 | 0.9613 |
86
+ | 0.0073 | 14.0 | 1484 | 0.2386 | 0.8158 | 0.8986 | 0.8552 | 69 | 0.7258 | 0.7759 | 0.7500 | 58 | 0.8854 | 0.9145 | 0.8997 | 152 | 0.7714 | 0.9 | 0.8308 | 30 | 0.8387 | 0.8966 | 0.8667 | 29 | 0.8283 | 0.8846 | 0.8555 | 0.9641 |
87
+ | 0.0046 | 15.0 | 1590 | 0.2387 | 0.8052 | 0.8986 | 0.8493 | 69 | 0.6857 | 0.8276 | 0.75 | 58 | 0.8968 | 0.9145 | 0.9055 | 152 | 0.8182 | 0.9 | 0.8571 | 30 | 0.8387 | 0.8966 | 0.8667 | 29 | 0.8251 | 0.8935 | 0.8580 | 0.9652 |
88
+ | 0.003 | 16.0 | 1696 | 0.2643 | 0.8052 | 0.8986 | 0.8493 | 69 | 0.6731 | 0.6034 | 0.6364 | 58 | 0.9073 | 0.9013 | 0.9043 | 152 | 0.8182 | 0.9 | 0.8571 | 30 | 0.8333 | 0.8621 | 0.8475 | 29 | 0.8338 | 0.8462 | 0.8399 | 0.9611 |
89
+ | 0.0027 | 17.0 | 1802 | 0.2792 | 0.8125 | 0.9420 | 0.8725 | 69 | 0.6806 | 0.8448 | 0.7538 | 58 | 0.8590 | 0.8816 | 0.8701 | 152 | 0.7941 | 0.9 | 0.8438 | 30 | 0.8387 | 0.8966 | 0.8667 | 29 | 0.8070 | 0.8905 | 0.8467 | 0.9613 |
90
+ | 0.0037 | 18.0 | 1908 | 0.2727 | 0.7619 | 0.9275 | 0.8366 | 69 | 0.6769 | 0.7586 | 0.7154 | 58 | 0.8696 | 0.9211 | 0.8946 | 152 | 0.8182 | 0.9 | 0.8571 | 30 | 0.8125 | 0.8966 | 0.8525 | 29 | 0.8027 | 0.8905 | 0.8443 | 0.9621 |
91
+ | 0.0046 | 19.0 | 2014 | 0.2459 | 0.7848 | 0.8986 | 0.8378 | 69 | 0.6818 | 0.7759 | 0.7258 | 58 | 0.9038 | 0.9276 | 0.9156 | 152 | 0.8182 | 0.9 | 0.8571 | 30 | 0.8621 | 0.8621 | 0.8621 | 29 | 0.8264 | 0.8876 | 0.8559 | 0.9636 |
92
+ | 0.0048 | 20.0 | 2120 | 0.2616 | 0.7590 | 0.9130 | 0.8289 | 69 | 0.6923 | 0.7759 | 0.7317 | 58 | 0.8805 | 0.9211 | 0.9003 | 152 | 0.8182 | 0.9 | 0.8571 | 30 | 0.7429 | 0.8966 | 0.8125 | 29 | 0.8027 | 0.8905 | 0.8443 | 0.9613 |
93
+ | 0.0047 | 21.0 | 2226 | 0.2413 | 0.8025 | 0.9420 | 0.8667 | 69 | 0.6866 | 0.7931 | 0.736 | 58 | 0.8790 | 0.9079 | 0.8932 | 152 | 0.7879 | 0.8667 | 0.8254 | 30 | 0.75 | 0.9310 | 0.8308 | 29 | 0.8075 | 0.8935 | 0.8483 | 0.9647 |
94
+ | 0.0041 | 22.0 | 2332 | 0.2954 | 0.7805 | 0.9275 | 0.8477 | 69 | 0.6667 | 0.8276 | 0.7385 | 58 | 0.8861 | 0.9211 | 0.9032 | 152 | 0.7353 | 0.8333 | 0.7812 | 30 | 0.7429 | 0.8966 | 0.8125 | 29 | 0.7953 | 0.8964 | 0.8428 | 0.9621 |
95
+ | 0.0034 | 23.0 | 2438 | 0.2645 | 0.7949 | 0.8986 | 0.8435 | 69 | 0.7 | 0.8448 | 0.7656 | 58 | 0.8931 | 0.9342 | 0.9132 | 152 | 0.8065 | 0.8333 | 0.8197 | 30 | 0.7429 | 0.8966 | 0.8125 | 29 | 0.8150 | 0.8994 | 0.8551 | 0.9662 |
96
+ | 0.0021 | 24.0 | 2544 | 0.2715 | 0.8052 | 0.8986 | 0.8493 | 69 | 0.7246 | 0.8621 | 0.7874 | 58 | 0.8868 | 0.9276 | 0.9068 | 152 | 0.8276 | 0.8 | 0.8136 | 30 | 0.7879 | 0.8966 | 0.8387 | 29 | 0.8256 | 0.8964 | 0.8596 | 0.9654 |
97
+ | 0.0022 | 25.0 | 2650 | 0.2671 | 0.8158 | 0.8986 | 0.8552 | 69 | 0.7258 | 0.7759 | 0.7500 | 58 | 0.9026 | 0.9145 | 0.9085 | 152 | 0.7812 | 0.8333 | 0.8065 | 30 | 0.7879 | 0.8966 | 0.8387 | 29 | 0.8319 | 0.8787 | 0.8547 | 0.9639 |
98
+ | 0.0021 | 26.0 | 2756 | 0.3094 | 0.7529 | 0.9275 | 0.8312 | 69 | 0.6970 | 0.7931 | 0.7419 | 58 | 0.8910 | 0.9145 | 0.9026 | 152 | 0.8333 | 0.8333 | 0.8333 | 30 | 0.8125 | 0.8966 | 0.8525 | 29 | 0.8130 | 0.8876 | 0.8487 | 0.9624 |
99
+ | 0.0033 | 27.0 | 2862 | 0.2711 | 0.7821 | 0.8841 | 0.8299 | 69 | 0.7302 | 0.7931 | 0.7603 | 58 | 0.8882 | 0.9408 | 0.9137 | 152 | 0.8125 | 0.8667 | 0.8387 | 30 | 0.7647 | 0.8966 | 0.8254 | 29 | 0.8207 | 0.8935 | 0.8555 | 0.9652 |
100
+ | 0.003 | 28.0 | 2968 | 0.2883 | 0.7683 | 0.9130 | 0.8344 | 69 | 0.7385 | 0.8276 | 0.7805 | 58 | 0.8987 | 0.9342 | 0.9161 | 152 | 0.7353 | 0.8333 | 0.7812 | 30 | 0.7879 | 0.8966 | 0.8387 | 29 | 0.8172 | 0.8994 | 0.8563 | 0.9644 |
101
+ | 0.0021 | 29.0 | 3074 | 0.2531 | 0.8077 | 0.9130 | 0.8571 | 69 | 0.6923 | 0.7759 | 0.7317 | 58 | 0.8854 | 0.9145 | 0.8997 | 152 | 0.8125 | 0.8667 | 0.8387 | 30 | 0.8387 | 0.8966 | 0.8667 | 29 | 0.8237 | 0.8846 | 0.8531 | 0.9652 |
102
+ | 0.0016 | 30.0 | 3180 | 0.2924 | 0.7590 | 0.9130 | 0.8289 | 69 | 0.6491 | 0.6379 | 0.6435 | 58 | 0.8827 | 0.9408 | 0.9108 | 152 | 0.8125 | 0.8667 | 0.8387 | 30 | 0.7647 | 0.8966 | 0.8254 | 29 | 0.8016 | 0.8728 | 0.8357 | 0.9626 |
103
+ | 0.0048 | 31.0 | 3286 | 0.2868 | 0.8125 | 0.9420 | 0.8725 | 69 | 0.6562 | 0.7241 | 0.6885 | 58 | 0.8805 | 0.9211 | 0.9003 | 152 | 0.7879 | 0.8667 | 0.8254 | 30 | 0.7647 | 0.8966 | 0.8254 | 29 | 0.8081 | 0.8846 | 0.8446 | 0.9626 |
104
+ | 0.0032 | 32.0 | 3392 | 0.2836 | 0.7722 | 0.8841 | 0.8243 | 69 | 0.6618 | 0.7759 | 0.7143 | 58 | 0.875 | 0.9211 | 0.8974 | 152 | 0.7222 | 0.8667 | 0.7879 | 30 | 0.7429 | 0.8966 | 0.8125 | 29 | 0.7884 | 0.8817 | 0.8324 | 0.9606 |
105
+ | 0.004 | 33.0 | 3498 | 0.2565 | 0.8267 | 0.8986 | 0.8611 | 69 | 0.7288 | 0.7414 | 0.7350 | 58 | 0.8797 | 0.9145 | 0.8968 | 152 | 0.7879 | 0.8667 | 0.8254 | 30 | 0.7647 | 0.8966 | 0.8254 | 29 | 0.8245 | 0.8757 | 0.8494 | 0.9657 |
106
+ | 0.0016 | 34.0 | 3604 | 0.2747 | 0.7619 | 0.9275 | 0.8366 | 69 | 0.6897 | 0.6897 | 0.6897 | 58 | 0.8712 | 0.9342 | 0.9016 | 152 | 0.8125 | 0.8667 | 0.8387 | 30 | 0.8125 | 0.8966 | 0.8525 | 29 | 0.8076 | 0.8817 | 0.8430 | 0.9652 |
107
+ | 0.0018 | 35.0 | 3710 | 0.2639 | 0.8 | 0.9275 | 0.8591 | 69 | 0.7077 | 0.7931 | 0.7480 | 58 | 0.8924 | 0.9276 | 0.9097 | 152 | 0.8438 | 0.9 | 0.8710 | 30 | 0.7879 | 0.8966 | 0.8387 | 29 | 0.8261 | 0.8994 | 0.8612 | 0.9659 |
108
+ | 0.0032 | 36.0 | 3816 | 0.2596 | 0.8442 | 0.9420 | 0.8904 | 69 | 0.7119 | 0.7241 | 0.7179 | 58 | 0.9045 | 0.9342 | 0.9191 | 152 | 0.7812 | 0.8333 | 0.8065 | 30 | 0.7647 | 0.8966 | 0.8254 | 29 | 0.8357 | 0.8876 | 0.8608 | 0.9654 |
109
+ | 0.0024 | 37.0 | 3922 | 0.2782 | 0.8421 | 0.9275 | 0.8828 | 69 | 0.7167 | 0.7414 | 0.7288 | 58 | 0.8875 | 0.9342 | 0.9103 | 152 | 0.7647 | 0.8667 | 0.8125 | 30 | 0.8333 | 0.8621 | 0.8475 | 29 | 0.8333 | 0.8876 | 0.8596 | 0.9670 |
110
+ | 0.002 | 38.0 | 4028 | 0.2880 | 0.8 | 0.9275 | 0.8591 | 69 | 0.7344 | 0.8103 | 0.7705 | 58 | 0.9026 | 0.9145 | 0.9085 | 152 | 0.7812 | 0.8333 | 0.8065 | 30 | 0.7812 | 0.8621 | 0.8197 | 29 | 0.8287 | 0.8876 | 0.8571 | 0.9665 |
111
+ | 0.0027 | 39.0 | 4134 | 0.2859 | 0.8125 | 0.9420 | 0.8725 | 69 | 0.6571 | 0.7931 | 0.7188 | 58 | 0.8598 | 0.9276 | 0.8924 | 152 | 0.8 | 0.8 | 0.8000 | 30 | 0.8125 | 0.8966 | 0.8525 | 29 | 0.8032 | 0.8935 | 0.8459 | 0.9647 |
112
+ | 0.0028 | 40.0 | 4240 | 0.2777 | 0.8101 | 0.9275 | 0.8649 | 69 | 0.7344 | 0.8103 | 0.7705 | 58 | 0.8938 | 0.9408 | 0.9167 | 152 | 0.7812 | 0.8333 | 0.8065 | 30 | 0.7879 | 0.8966 | 0.8387 | 29 | 0.8288 | 0.9024 | 0.8640 | 0.9675 |
113
+ | 0.0013 | 41.0 | 4346 | 0.2742 | 0.7683 | 0.9130 | 0.8344 | 69 | 0.7188 | 0.7931 | 0.7541 | 58 | 0.8827 | 0.9408 | 0.9108 | 152 | 0.8125 | 0.8667 | 0.8387 | 30 | 0.8182 | 0.9310 | 0.8710 | 29 | 0.8177 | 0.9024 | 0.8579 | 0.9667 |
114
+ | 0.0035 | 42.0 | 4452 | 0.2879 | 0.8442 | 0.9420 | 0.8904 | 69 | 0.7302 | 0.7931 | 0.7603 | 58 | 0.8720 | 0.9408 | 0.9051 | 152 | 0.7576 | 0.8333 | 0.7937 | 30 | 0.7941 | 0.9310 | 0.8571 | 29 | 0.8248 | 0.9053 | 0.8632 | 0.9675 |
115
+ | 0.0014 | 43.0 | 4558 | 0.2880 | 0.8312 | 0.9275 | 0.8767 | 69 | 0.7121 | 0.8103 | 0.7581 | 58 | 0.8383 | 0.9211 | 0.8777 | 152 | 0.75 | 0.8 | 0.7742 | 30 | 0.7879 | 0.8966 | 0.8387 | 29 | 0.8027 | 0.8905 | 0.8443 | 0.9652 |
116
+ | 0.002 | 44.0 | 4664 | 0.2945 | 0.8101 | 0.9275 | 0.8649 | 69 | 0.7286 | 0.8793 | 0.7969 | 58 | 0.8987 | 0.9342 | 0.9161 | 152 | 0.7812 | 0.8333 | 0.8065 | 30 | 0.7879 | 0.8966 | 0.8387 | 29 | 0.8280 | 0.9112 | 0.8676 | 0.9662 |
117
+ | 0.003 | 45.0 | 4770 | 0.2898 | 0.7529 | 0.9275 | 0.8312 | 69 | 0.7049 | 0.7414 | 0.7227 | 58 | 0.9038 | 0.9276 | 0.9156 | 152 | 0.8065 | 0.8333 | 0.8197 | 30 | 0.8667 | 0.8966 | 0.8814 | 29 | 0.8237 | 0.8846 | 0.8531 | 0.9647 |
118
+ | 0.0029 | 46.0 | 4876 | 0.3106 | 0.7647 | 0.9420 | 0.8442 | 69 | 0.7429 | 0.8966 | 0.8125 | 58 | 0.8868 | 0.9276 | 0.9068 | 152 | 0.8438 | 0.9 | 0.8710 | 30 | 0.7429 | 0.8966 | 0.8125 | 29 | 0.8163 | 0.9201 | 0.8651 | 0.9654 |
119
+ | 0.0033 | 47.0 | 4982 | 0.2665 | 0.8841 | 0.8841 | 0.8841 | 69 | 0.7255 | 0.6379 | 0.6789 | 58 | 0.9156 | 0.9276 | 0.9216 | 152 | 0.8387 | 0.8667 | 0.8525 | 30 | 0.8621 | 0.8621 | 0.8621 | 29 | 0.8683 | 0.8580 | 0.8631 | 0.9639 |
120
+ | 0.0027 | 48.0 | 5088 | 0.3205 | 0.7529 | 0.9275 | 0.8312 | 69 | 0.6806 | 0.8448 | 0.7538 | 58 | 0.8797 | 0.9145 | 0.8968 | 152 | 0.8125 | 0.8667 | 0.8387 | 30 | 0.7879 | 0.8966 | 0.8387 | 29 | 0.8 | 0.8994 | 0.8468 | 0.9606 |
121
+ | 0.0014 | 49.0 | 5194 | 0.2800 | 0.8125 | 0.9420 | 0.8725 | 69 | 0.6970 | 0.7931 | 0.7419 | 58 | 0.8931 | 0.9342 | 0.9132 | 152 | 0.8125 | 0.8667 | 0.8387 | 30 | 0.8387 | 0.8966 | 0.8667 | 29 | 0.8288 | 0.9024 | 0.8640 | 0.9657 |
122
+ | 0.0005 | 50.0 | 5300 | 0.3062 | 0.8 | 0.9275 | 0.8591 | 69 | 0.6761 | 0.8276 | 0.7442 | 58 | 0.8868 | 0.9276 | 0.9068 | 152 | 0.8125 | 0.8667 | 0.8387 | 30 | 0.8387 | 0.8966 | 0.8667 | 29 | 0.8177 | 0.9024 | 0.8579 | 0.9634 |
123
+ | 0.0009 | 51.0 | 5406 | 0.3094 | 0.7922 | 0.8841 | 0.8356 | 69 | 0.6716 | 0.7759 | 0.7200 | 58 | 0.875 | 0.9211 | 0.8974 | 152 | 0.8125 | 0.8667 | 0.8387 | 30 | 0.7879 | 0.8966 | 0.8387 | 29 | 0.8076 | 0.8817 | 0.8430 | 0.9616 |
124
+ | 0.0007 | 52.0 | 5512 | 0.2927 | 0.8052 | 0.8986 | 0.8493 | 69 | 0.7049 | 0.7414 | 0.7227 | 58 | 0.8805 | 0.9211 | 0.9003 | 152 | 0.8438 | 0.9 | 0.8710 | 30 | 0.8387 | 0.8966 | 0.8667 | 29 | 0.8278 | 0.8817 | 0.8539 | 0.9652 |
125
+ | 0.0005 | 53.0 | 5618 | 0.3106 | 0.8026 | 0.8841 | 0.8414 | 69 | 0.6935 | 0.7414 | 0.7167 | 58 | 0.8812 | 0.9276 | 0.9038 | 152 | 0.8125 | 0.8667 | 0.8387 | 30 | 0.8387 | 0.8966 | 0.8667 | 29 | 0.8227 | 0.8787 | 0.8498 | 0.9639 |
126
+ | 0.0006 | 54.0 | 5724 | 0.3165 | 0.8133 | 0.8841 | 0.8472 | 69 | 0.7241 | 0.7241 | 0.7241 | 58 | 0.8875 | 0.9342 | 0.9103 | 152 | 0.8125 | 0.8667 | 0.8387 | 30 | 0.8125 | 0.8966 | 0.8525 | 29 | 0.8319 | 0.8787 | 0.8547 | 0.9649 |
127
+ | 0.0008 | 55.0 | 5830 | 0.2877 | 0.8857 | 0.8986 | 0.8921 | 69 | 0.7551 | 0.6379 | 0.6916 | 58 | 0.8917 | 0.9211 | 0.9061 | 152 | 0.7812 | 0.8333 | 0.8065 | 30 | 0.8667 | 0.8966 | 0.8814 | 29 | 0.8580 | 0.8580 | 0.8580 | 0.9677 |
128
+ | 0.0013 | 56.0 | 5936 | 0.2934 | 0.8553 | 0.9420 | 0.8966 | 69 | 0.7018 | 0.6897 | 0.6957 | 58 | 0.8981 | 0.9276 | 0.9126 | 152 | 0.8387 | 0.8667 | 0.8525 | 30 | 0.7879 | 0.8966 | 0.8387 | 29 | 0.8418 | 0.8817 | 0.8613 | 0.9647 |
129
+ | 0.0003 | 57.0 | 6042 | 0.3164 | 0.8442 | 0.9420 | 0.8904 | 69 | 0.7018 | 0.6897 | 0.6957 | 58 | 0.8924 | 0.9276 | 0.9097 | 152 | 0.7879 | 0.8667 | 0.8254 | 30 | 0.7879 | 0.8966 | 0.8387 | 29 | 0.8324 | 0.8817 | 0.8563 | 0.9639 |
130
+ | 0.0004 | 58.0 | 6148 | 0.3298 | 0.8333 | 0.9420 | 0.8844 | 69 | 0.6825 | 0.7414 | 0.7107 | 58 | 0.8924 | 0.9276 | 0.9097 | 152 | 0.8125 | 0.8667 | 0.8387 | 30 | 0.7879 | 0.8966 | 0.8387 | 29 | 0.8269 | 0.8905 | 0.8575 | 0.9629 |
131
+ | 0.0006 | 59.0 | 6254 | 0.3475 | 0.8553 | 0.9420 | 0.8966 | 69 | 0.6545 | 0.6207 | 0.6372 | 58 | 0.8931 | 0.9342 | 0.9132 | 152 | 0.7879 | 0.8667 | 0.8254 | 30 | 0.8125 | 0.8966 | 0.8525 | 29 | 0.8310 | 0.8728 | 0.8514 | 0.9618 |
132
+ | 0.0009 | 60.0 | 6360 | 0.3446 | 0.8228 | 0.9420 | 0.8784 | 69 | 0.7541 | 0.7931 | 0.7731 | 58 | 0.8924 | 0.9276 | 0.9097 | 152 | 0.7879 | 0.8667 | 0.8254 | 30 | 0.8125 | 0.8966 | 0.8525 | 29 | 0.8375 | 0.8994 | 0.8673 | 0.9647 |
133
+ | 0.0005 | 61.0 | 6466 | 0.3662 | 0.8025 | 0.9420 | 0.8667 | 69 | 0.6716 | 0.7759 | 0.7200 | 58 | 0.8805 | 0.9211 | 0.9003 | 152 | 0.8125 | 0.8667 | 0.8387 | 30 | 0.8125 | 0.8966 | 0.8525 | 29 | 0.8140 | 0.8935 | 0.8519 | 0.9611 |
134
+ | 0.002 | 62.0 | 6572 | 0.3188 | 0.8553 | 0.9420 | 0.8966 | 69 | 0.7031 | 0.7759 | 0.7377 | 58 | 0.8868 | 0.9276 | 0.9068 | 152 | 0.7576 | 0.8333 | 0.7937 | 30 | 0.8387 | 0.8966 | 0.8667 | 29 | 0.8320 | 0.8935 | 0.8616 | 0.9665 |
135
+ | 0.0005 | 63.0 | 6678 | 0.3222 | 0.8649 | 0.9275 | 0.8951 | 69 | 0.7302 | 0.7931 | 0.7603 | 58 | 0.8805 | 0.9211 | 0.9003 | 152 | 0.8065 | 0.8333 | 0.8197 | 30 | 0.8387 | 0.8966 | 0.8667 | 29 | 0.8408 | 0.8905 | 0.8649 | 0.9670 |
136
+ | 0.0003 | 64.0 | 6784 | 0.3288 | 0.8312 | 0.9275 | 0.8767 | 69 | 0.7231 | 0.8103 | 0.7642 | 58 | 0.8805 | 0.9211 | 0.9003 | 152 | 0.7812 | 0.8333 | 0.8065 | 30 | 0.8387 | 0.8966 | 0.8667 | 29 | 0.8297 | 0.8935 | 0.8604 | 0.9662 |
137
+ | 0.0003 | 65.0 | 6890 | 0.3331 | 0.8312 | 0.9275 | 0.8767 | 69 | 0.7344 | 0.8103 | 0.7705 | 58 | 0.8659 | 0.9342 | 0.8987 | 152 | 0.8125 | 0.8667 | 0.8387 | 30 | 0.8125 | 0.8966 | 0.8525 | 29 | 0.8266 | 0.9024 | 0.8628 | 0.9662 |
138
+ | 0.0003 | 66.0 | 6996 | 0.3162 | 0.8514 | 0.9130 | 0.8811 | 69 | 0.6981 | 0.6379 | 0.6667 | 58 | 0.8974 | 0.9211 | 0.9091 | 152 | 0.7879 | 0.8667 | 0.8254 | 30 | 0.8387 | 0.8966 | 0.8667 | 29 | 0.8415 | 0.8639 | 0.8526 | 0.9662 |
139
+ | 0.0024 | 67.0 | 7102 | 0.3060 | 0.8182 | 0.9130 | 0.8630 | 69 | 0.7143 | 0.7759 | 0.7438 | 58 | 0.9085 | 0.9145 | 0.9115 | 152 | 0.7812 | 0.8333 | 0.8065 | 30 | 0.8125 | 0.8966 | 0.8525 | 29 | 0.8347 | 0.8817 | 0.8576 | 0.9672 |
140
+ | 0.002 | 68.0 | 7208 | 0.3085 | 0.8442 | 0.9420 | 0.8904 | 69 | 0.74 | 0.6379 | 0.6852 | 58 | 0.9038 | 0.9276 | 0.9156 | 152 | 0.8125 | 0.8667 | 0.8387 | 30 | 0.7879 | 0.8966 | 0.8387 | 29 | 0.8477 | 0.8728 | 0.8601 | 0.9652 |
141
+ | 0.0014 | 69.0 | 7314 | 0.3034 | 0.8442 | 0.9420 | 0.8904 | 69 | 0.6522 | 0.7759 | 0.7087 | 58 | 0.8642 | 0.9211 | 0.8917 | 152 | 0.8485 | 0.9333 | 0.8889 | 30 | 0.8125 | 0.8966 | 0.8525 | 29 | 0.8150 | 0.8994 | 0.8551 | 0.9649 |
142
+ | 0.0006 | 70.0 | 7420 | 0.3125 | 0.8421 | 0.9275 | 0.8828 | 69 | 0.6667 | 0.7931 | 0.7244 | 58 | 0.8589 | 0.9211 | 0.8889 | 152 | 0.8125 | 0.8667 | 0.8387 | 30 | 0.7576 | 0.8621 | 0.8065 | 29 | 0.8070 | 0.8905 | 0.8467 | 0.9647 |
143
+ | 0.0009 | 71.0 | 7526 | 0.3197 | 0.84 | 0.9130 | 0.8750 | 69 | 0.6765 | 0.7931 | 0.7302 | 58 | 0.8650 | 0.9276 | 0.8952 | 152 | 0.7647 | 0.8667 | 0.8125 | 30 | 0.7419 | 0.7931 | 0.7667 | 29 | 0.8059 | 0.8846 | 0.8434 | 0.9639 |
144
+ | 0.0009 | 72.0 | 7632 | 0.3207 | 0.8421 | 0.9275 | 0.8828 | 69 | 0.6923 | 0.7759 | 0.7317 | 58 | 0.8820 | 0.9342 | 0.9073 | 152 | 0.7647 | 0.8667 | 0.8125 | 30 | 0.75 | 0.8276 | 0.7869 | 29 | 0.8179 | 0.8905 | 0.8527 | 0.9647 |
145
+ | 0.0006 | 73.0 | 7738 | 0.3206 | 0.8312 | 0.9275 | 0.8767 | 69 | 0.6719 | 0.7414 | 0.7049 | 58 | 0.8917 | 0.9211 | 0.9061 | 152 | 0.7879 | 0.8667 | 0.8254 | 30 | 0.7812 | 0.8621 | 0.8197 | 29 | 0.8209 | 0.8817 | 0.8502 | 0.9647 |
146
+ | 0.0004 | 74.0 | 7844 | 0.3209 | 0.8312 | 0.9275 | 0.8767 | 69 | 0.6875 | 0.7586 | 0.7213 | 58 | 0.8903 | 0.9079 | 0.8990 | 152 | 0.7879 | 0.8667 | 0.8254 | 30 | 0.7812 | 0.8621 | 0.8197 | 29 | 0.8227 | 0.8787 | 0.8498 | 0.9641 |
147
+ | 0.0003 | 75.0 | 7950 | 0.3219 | 0.875 | 0.9130 | 0.8936 | 69 | 0.6615 | 0.7414 | 0.6992 | 58 | 0.8854 | 0.9145 | 0.8997 | 152 | 0.7879 | 0.8667 | 0.8254 | 30 | 0.7812 | 0.8621 | 0.8197 | 29 | 0.8245 | 0.8757 | 0.8494 | 0.9636 |
148
+ | 0.0003 | 76.0 | 8056 | 0.3356 | 0.8312 | 0.9275 | 0.8767 | 69 | 0.6575 | 0.8276 | 0.7328 | 58 | 0.8812 | 0.9276 | 0.9038 | 152 | 0.7879 | 0.8667 | 0.8254 | 30 | 0.7812 | 0.8621 | 0.8197 | 29 | 0.8107 | 0.8994 | 0.8527 | 0.9631 |
149
+ | 0.0002 | 77.0 | 8162 | 0.3265 | 0.8649 | 0.9275 | 0.8951 | 69 | 0.6935 | 0.7414 | 0.7167 | 58 | 0.8805 | 0.9211 | 0.9003 | 152 | 0.8125 | 0.8667 | 0.8387 | 30 | 0.7812 | 0.8621 | 0.8197 | 29 | 0.8301 | 0.8817 | 0.8551 | 0.9657 |
150
+ | 0.0002 | 78.0 | 8268 | 0.3292 | 0.8533 | 0.9275 | 0.8889 | 69 | 0.6875 | 0.7586 | 0.7213 | 58 | 0.8805 | 0.9211 | 0.9003 | 152 | 0.7879 | 0.8667 | 0.8254 | 30 | 0.7812 | 0.8621 | 0.8197 | 29 | 0.8237 | 0.8846 | 0.8531 | 0.9649 |
151
+ | 0.0003 | 79.0 | 8374 | 0.3334 | 0.8533 | 0.9275 | 0.8889 | 69 | 0.6769 | 0.7586 | 0.7154 | 58 | 0.8688 | 0.9145 | 0.8910 | 152 | 0.8125 | 0.8667 | 0.8387 | 30 | 0.7812 | 0.8621 | 0.8197 | 29 | 0.8187 | 0.8817 | 0.8490 | 0.9647 |
152
+ | 0.0006 | 80.0 | 8480 | 0.3393 | 0.8649 | 0.9275 | 0.8951 | 69 | 0.6721 | 0.7069 | 0.6891 | 58 | 0.8968 | 0.9145 | 0.9055 | 152 | 0.8438 | 0.9 | 0.8710 | 30 | 0.7812 | 0.8621 | 0.8197 | 29 | 0.8362 | 0.8757 | 0.8555 | 0.9647 |
153
+ | 0.0002 | 81.0 | 8586 | 0.3537 | 0.8533 | 0.9275 | 0.8889 | 69 | 0.6875 | 0.7586 | 0.7213 | 58 | 0.8903 | 0.9079 | 0.8990 | 152 | 0.7879 | 0.8667 | 0.8254 | 30 | 0.7812 | 0.8621 | 0.8197 | 29 | 0.8273 | 0.8787 | 0.8522 | 0.9644 |
154
+ | 0.0003 | 82.0 | 8692 | 0.3606 | 0.8533 | 0.9275 | 0.8889 | 69 | 0.7321 | 0.7069 | 0.7193 | 58 | 0.8846 | 0.9079 | 0.8961 | 152 | 0.7812 | 0.8333 | 0.8065 | 30 | 0.7812 | 0.8621 | 0.8197 | 29 | 0.8348 | 0.8669 | 0.8505 | 0.9639 |
155
+ | 0.0006 | 83.0 | 8798 | 0.3577 | 0.8784 | 0.9420 | 0.9091 | 69 | 0.6923 | 0.6207 | 0.6545 | 58 | 0.8968 | 0.9145 | 0.9055 | 152 | 0.7812 | 0.8333 | 0.8065 | 30 | 0.7812 | 0.8621 | 0.8197 | 29 | 0.8406 | 0.8580 | 0.8492 | 0.9641 |
156
+ | 0.001 | 84.0 | 8904 | 0.3674 | 0.8667 | 0.9420 | 0.9028 | 69 | 0.6727 | 0.6379 | 0.6549 | 58 | 0.8846 | 0.9079 | 0.8961 | 152 | 0.7812 | 0.8333 | 0.8065 | 30 | 0.7812 | 0.8621 | 0.8197 | 29 | 0.8286 | 0.8580 | 0.8430 | 0.9618 |
157
+ | 0.0006 | 85.0 | 9010 | 0.3639 | 0.8784 | 0.9420 | 0.9091 | 69 | 0.6909 | 0.6552 | 0.6726 | 58 | 0.8790 | 0.9079 | 0.8932 | 152 | 0.8125 | 0.8667 | 0.8387 | 30 | 0.7812 | 0.8621 | 0.8197 | 29 | 0.8343 | 0.8639 | 0.8488 | 0.9616 |
158
+ | 0.0004 | 86.0 | 9116 | 0.3683 | 0.875 | 0.9130 | 0.8936 | 69 | 0.74 | 0.6379 | 0.6852 | 58 | 0.8854 | 0.9145 | 0.8997 | 152 | 0.8125 | 0.8667 | 0.8387 | 30 | 0.7812 | 0.8621 | 0.8197 | 29 | 0.8455 | 0.8580 | 0.8517 | 0.9634 |
159
+ | 0.0005 | 87.0 | 9222 | 0.3531 | 0.8533 | 0.9275 | 0.8889 | 69 | 0.7170 | 0.6552 | 0.6847 | 58 | 0.8846 | 0.9079 | 0.8961 | 152 | 0.8125 | 0.8667 | 0.8387 | 30 | 0.7812 | 0.8621 | 0.8197 | 29 | 0.8362 | 0.8609 | 0.8484 | 0.9626 |
160
+ | 0.0002 | 88.0 | 9328 | 0.3533 | 0.8514 | 0.9130 | 0.8811 | 69 | 0.7308 | 0.6552 | 0.6909 | 58 | 0.8910 | 0.9145 | 0.9026 | 152 | 0.8125 | 0.8667 | 0.8387 | 30 | 0.7812 | 0.8621 | 0.8197 | 29 | 0.8410 | 0.8609 | 0.8509 | 0.9634 |
161
+ | 0.0002 | 89.0 | 9434 | 0.3525 | 0.8514 | 0.9130 | 0.8811 | 69 | 0.7321 | 0.7069 | 0.7193 | 58 | 0.8846 | 0.9079 | 0.8961 | 152 | 0.8125 | 0.8667 | 0.8387 | 30 | 0.7812 | 0.8621 | 0.8197 | 29 | 0.8371 | 0.8669 | 0.8517 | 0.9636 |
162
+ | 0.0002 | 90.0 | 9540 | 0.3583 | 0.8533 | 0.9275 | 0.8889 | 69 | 0.7241 | 0.7241 | 0.7241 | 58 | 0.8910 | 0.9145 | 0.9026 | 152 | 0.8125 | 0.8667 | 0.8387 | 30 | 0.7812 | 0.8621 | 0.8197 | 29 | 0.8385 | 0.8757 | 0.8567 | 0.9634 |
163
+ | 0.0002 | 91.0 | 9646 | 0.3626 | 0.8553 | 0.9420 | 0.8966 | 69 | 0.7288 | 0.7414 | 0.7350 | 58 | 0.8846 | 0.9079 | 0.8961 | 152 | 0.8125 | 0.8667 | 0.8387 | 30 | 0.7812 | 0.8621 | 0.8197 | 29 | 0.8366 | 0.8787 | 0.8571 | 0.9631 |
164
+ | 0.0005 | 92.0 | 9752 | 0.3608 | 0.8514 | 0.9130 | 0.8811 | 69 | 0.7368 | 0.7241 | 0.7304 | 58 | 0.8846 | 0.9079 | 0.8961 | 152 | 0.8125 | 0.8667 | 0.8387 | 30 | 0.7812 | 0.8621 | 0.8197 | 29 | 0.8376 | 0.8698 | 0.8534 | 0.9634 |
165
+ | 0.0002 | 93.0 | 9858 | 0.3571 | 0.8533 | 0.9275 | 0.8889 | 69 | 0.7167 | 0.7414 | 0.7288 | 58 | 0.8910 | 0.9145 | 0.9026 | 152 | 0.8125 | 0.8667 | 0.8387 | 30 | 0.7812 | 0.8621 | 0.8197 | 29 | 0.8366 | 0.8787 | 0.8571 | 0.9634 |
166
+ | 0.0002 | 94.0 | 9964 | 0.3574 | 0.8533 | 0.9275 | 0.8889 | 69 | 0.7167 | 0.7414 | 0.7288 | 58 | 0.8910 | 0.9145 | 0.9026 | 152 | 0.8125 | 0.8667 | 0.8387 | 30 | 0.7812 | 0.8621 | 0.8197 | 29 | 0.8366 | 0.8787 | 0.8571 | 0.9634 |
167
+ | 0.0004 | 95.0 | 10070 | 0.3578 | 0.8649 | 0.9275 | 0.8951 | 69 | 0.6935 | 0.7414 | 0.7167 | 58 | 0.8910 | 0.9145 | 0.9026 | 152 | 0.8125 | 0.8667 | 0.8387 | 30 | 0.7812 | 0.8621 | 0.8197 | 29 | 0.8343 | 0.8787 | 0.8559 | 0.9641 |
168
+ | 0.0003 | 96.0 | 10176 | 0.3588 | 0.8649 | 0.9275 | 0.8951 | 69 | 0.6935 | 0.7414 | 0.7167 | 58 | 0.8846 | 0.9079 | 0.8961 | 152 | 0.8125 | 0.8667 | 0.8387 | 30 | 0.7812 | 0.8621 | 0.8197 | 29 | 0.8315 | 0.8757 | 0.8530 | 0.9639 |
169
+ | 0.0004 | 97.0 | 10282 | 0.3566 | 0.8533 | 0.9275 | 0.8889 | 69 | 0.6935 | 0.7414 | 0.7167 | 58 | 0.8910 | 0.9145 | 0.9026 | 152 | 0.8125 | 0.8667 | 0.8387 | 30 | 0.7812 | 0.8621 | 0.8197 | 29 | 0.8319 | 0.8787 | 0.8547 | 0.9639 |
170
+ | 0.0003 | 98.0 | 10388 | 0.3576 | 0.8533 | 0.9275 | 0.8889 | 69 | 0.6825 | 0.7414 | 0.7107 | 58 | 0.8910 | 0.9145 | 0.9026 | 152 | 0.8125 | 0.8667 | 0.8387 | 30 | 0.7812 | 0.8621 | 0.8197 | 29 | 0.8296 | 0.8787 | 0.8534 | 0.9636 |
171
+ | 0.0004 | 99.0 | 10494 | 0.3574 | 0.8553 | 0.9420 | 0.8966 | 69 | 0.6935 | 0.7414 | 0.7167 | 58 | 0.8910 | 0.9145 | 0.9026 | 152 | 0.8125 | 0.8667 | 0.8387 | 30 | 0.7812 | 0.8621 | 0.8197 | 29 | 0.8324 | 0.8817 | 0.8563 | 0.9639 |
172
+ | 0.0002 | 100.0 | 10600 | 0.3575 | 0.8553 | 0.9420 | 0.8966 | 69 | 0.6935 | 0.7414 | 0.7167 | 58 | 0.8910 | 0.9145 | 0.9026 | 152 | 0.8125 | 0.8667 | 0.8387 | 30 | 0.7812 | 0.8621 | 0.8197 | 29 | 0.8324 | 0.8817 | 0.8563 | 0.9639 |
173
 
174
 
175
  ### Framework versions