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nerui-base-3

Token Classification
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Safetensors
Indonesian
bert
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  1. README.md +114 -21
  2. model.safetensors +1 -1
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README.md CHANGED
@@ -1,6 +1,4 @@
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  ---
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- language:
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- - id
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  license: mit
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  base_model: indolem/indobert-base-uncased
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  tags:
@@ -17,23 +15,23 @@ 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: 0.0518
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- - Location Precision: 0.9222
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  - Location Recall: 0.9651
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- - Location F1: 0.9432
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  - Location Number: 86
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- - Organization Precision: 0.9333
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- - Organization Recall: 0.9438
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- - Organization F1: 0.9385
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  - Organization Number: 178
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- - Person Precision: 0.9843
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- - Person Recall: 0.9766
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- - Person F1: 0.9804
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  - Person Number: 128
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- - Overall Precision: 0.9471
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- - Overall Recall: 0.9592
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- - Overall F1: 0.9531
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- - Overall Accuracy: 0.9889
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  ## Model description
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@@ -58,17 +56,112 @@ 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: 5.0
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  ### Training results
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  | 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 | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:------------------:|:---------------:|:-----------:|:---------------:|:----------------------:|:-------------------:|:---------------:|:-------------------:|:----------------:|:-------------:|:---------:|:-------------:|:-----------------:|:--------------:|:----------:|:----------------:|
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- | 0.241 | 1.0 | 96 | 0.0559 | 0.8039 | 0.9535 | 0.8723 | 86 | 0.9086 | 0.8933 | 0.9008 | 178 | 0.9538 | 0.9688 | 0.9612 | 128 | 0.8968 | 0.9311 | 0.9136 | 0.9833 |
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- | 0.0545 | 2.0 | 192 | 0.0551 | 0.8454 | 0.9535 | 0.8962 | 86 | 0.9011 | 0.9213 | 0.9111 | 178 | 0.9841 | 0.9688 | 0.9764 | 128 | 0.9136 | 0.9439 | 0.9285 | 0.9827 |
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- | 0.0286 | 3.0 | 288 | 0.0485 | 0.8586 | 0.9884 | 0.9189 | 86 | 0.9480 | 0.9213 | 0.9345 | 178 | 0.9841 | 0.9688 | 0.9764 | 128 | 0.9372 | 0.9515 | 0.9443 | 0.9870 |
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- | 0.0151 | 4.0 | 384 | 0.0570 | 0.9121 | 0.9651 | 0.9379 | 86 | 0.9375 | 0.9270 | 0.9322 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9443 | 0.9515 | 0.9479 | 0.9873 |
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- | 0.0088 | 5.0 | 480 | 0.0518 | 0.9222 | 0.9651 | 0.9432 | 86 | 0.9333 | 0.9438 | 0.9385 | 178 | 0.9843 | 0.9766 | 0.9804 | 128 | 0.9471 | 0.9592 | 0.9531 | 0.9889 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
1
  ---
 
 
2
  license: mit
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  base_model: indolem/indobert-base-uncased
4
  tags:
 
15
 
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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.
17
  It achieves the following results on the evaluation set:
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+ - Loss: 0.1047
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+ - Location Precision: 0.8925
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  - Location Recall: 0.9651
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+ - Location F1: 0.9274
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  - Location Number: 86
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+ - Organization Precision: 0.9538
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+ - Organization Recall: 0.9270
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+ - Organization F1: 0.9402
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  - Organization Number: 178
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+ - Person Precision: 0.9685
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+ - Person Recall: 0.9609
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+ - Person F1: 0.9647
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  - Person Number: 128
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+ - Overall Precision: 0.9440
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+ - Overall Recall: 0.9464
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+ - Overall F1: 0.9452
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+ - Overall Accuracy: 0.9876
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  ## Model description
37
 
 
56
  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
58
  - lr_scheduler_type: linear
59
+ - num_epochs: 100.0
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61
  ### Training results
62
 
63
  | 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 | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:------------------:|:---------------:|:-----------:|:---------------:|:----------------------:|:-------------------:|:---------------:|:-------------------:|:----------------:|:-------------:|:---------:|:-------------:|:-----------------:|:--------------:|:----------:|:----------------:|
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+ | 0.2442 | 1.0 | 96 | 0.0581 | 0.8384 | 0.9651 | 0.8973 | 86 | 0.8535 | 0.9494 | 0.8989 | 178 | 0.9690 | 0.9766 | 0.9728 | 128 | 0.8850 | 0.9617 | 0.9218 | 0.9822 |
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+ | 0.0581 | 2.0 | 192 | 0.0548 | 0.8283 | 0.9535 | 0.8865 | 86 | 0.9464 | 0.8933 | 0.9191 | 178 | 0.9690 | 0.9766 | 0.9728 | 128 | 0.9242 | 0.9337 | 0.9289 | 0.9852 |
67
+ | 0.0357 | 3.0 | 288 | 0.0514 | 0.8542 | 0.9535 | 0.9011 | 86 | 0.9310 | 0.9101 | 0.9205 | 178 | 0.9841 | 0.9688 | 0.9764 | 128 | 0.9293 | 0.9388 | 0.9340 | 0.9857 |
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+ | 0.0251 | 4.0 | 384 | 0.0607 | 0.8989 | 0.9302 | 0.9143 | 86 | 0.8942 | 0.9494 | 0.9210 | 178 | 0.9837 | 0.9453 | 0.9641 | 128 | 0.9227 | 0.9439 | 0.9332 | 0.9852 |
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+ | 0.0146 | 5.0 | 480 | 0.0617 | 0.8804 | 0.9419 | 0.9101 | 86 | 0.9231 | 0.9438 | 0.9333 | 178 | 0.976 | 0.9531 | 0.9644 | 128 | 0.9298 | 0.9464 | 0.9381 | 0.9865 |
70
+ | 0.0117 | 6.0 | 576 | 0.0706 | 0.8511 | 0.9302 | 0.8889 | 86 | 0.9066 | 0.9270 | 0.9167 | 178 | 0.9758 | 0.9453 | 0.9603 | 128 | 0.915 | 0.9337 | 0.9242 | 0.9857 |
71
+ | 0.0083 | 7.0 | 672 | 0.0926 | 0.7788 | 0.9419 | 0.8526 | 86 | 0.9162 | 0.9213 | 0.9188 | 178 | 0.9462 | 0.9609 | 0.9535 | 128 | 0.8910 | 0.9388 | 0.9143 | 0.9819 |
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+ | 0.008 | 8.0 | 768 | 0.0781 | 0.8617 | 0.9419 | 0.9000 | 86 | 0.9535 | 0.9213 | 0.9371 | 178 | 0.984 | 0.9609 | 0.9723 | 128 | 0.9412 | 0.9388 | 0.9400 | 0.9857 |
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+ | 0.0042 | 9.0 | 864 | 0.0659 | 0.8764 | 0.9070 | 0.8914 | 86 | 0.9663 | 0.9663 | 0.9663 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9492 | 0.9541 | 0.9517 | 0.9889 |
74
+ | 0.0044 | 10.0 | 960 | 0.0712 | 0.8681 | 0.9186 | 0.8927 | 86 | 0.9389 | 0.9494 | 0.9441 | 178 | 0.9457 | 0.9531 | 0.9494 | 128 | 0.925 | 0.9439 | 0.9343 | 0.9873 |
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+ | 0.005 | 11.0 | 1056 | 0.0855 | 0.8384 | 0.9651 | 0.8973 | 86 | 0.9438 | 0.9438 | 0.9438 | 178 | 0.9762 | 0.9609 | 0.9685 | 128 | 0.9280 | 0.9541 | 0.9409 | 0.9870 |
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+ | 0.0036 | 12.0 | 1152 | 0.0859 | 0.8710 | 0.9419 | 0.9050 | 86 | 0.9435 | 0.9382 | 0.9408 | 178 | 0.984 | 0.9609 | 0.9723 | 128 | 0.9392 | 0.9464 | 0.9428 | 0.9873 |
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+ | 0.0042 | 13.0 | 1248 | 0.0761 | 0.8901 | 0.9419 | 0.9153 | 86 | 0.9448 | 0.9607 | 0.9526 | 178 | 0.984 | 0.9609 | 0.9723 | 128 | 0.9446 | 0.9566 | 0.9506 | 0.9889 |
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+ | 0.0036 | 14.0 | 1344 | 0.0843 | 0.8876 | 0.9186 | 0.9029 | 86 | 0.9538 | 0.9270 | 0.9402 | 178 | 0.9841 | 0.9688 | 0.9764 | 128 | 0.9485 | 0.9388 | 0.9436 | 0.9862 |
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+ | 0.0028 | 15.0 | 1440 | 0.0906 | 0.8723 | 0.9535 | 0.9111 | 86 | 0.9429 | 0.9270 | 0.9348 | 178 | 0.984 | 0.9609 | 0.9723 | 128 | 0.9391 | 0.9439 | 0.9415 | 0.9868 |
80
+ | 0.0017 | 16.0 | 1536 | 0.0914 | 0.8526 | 0.9419 | 0.8950 | 86 | 0.9645 | 0.9157 | 0.9395 | 178 | 0.9683 | 0.9531 | 0.9606 | 128 | 0.9385 | 0.9337 | 0.9361 | 0.9862 |
81
+ | 0.002 | 17.0 | 1632 | 0.0828 | 0.8587 | 0.9186 | 0.8876 | 86 | 0.9545 | 0.9438 | 0.9492 | 178 | 0.9762 | 0.9609 | 0.9685 | 128 | 0.9391 | 0.9439 | 0.9415 | 0.9884 |
82
+ | 0.0033 | 18.0 | 1728 | 0.0641 | 0.8646 | 0.9651 | 0.9121 | 86 | 0.9126 | 0.9382 | 0.9252 | 178 | 0.9841 | 0.9688 | 0.9764 | 128 | 0.9235 | 0.9541 | 0.9385 | 0.9887 |
83
+ | 0.0024 | 19.0 | 1824 | 0.0982 | 0.8667 | 0.9070 | 0.8864 | 86 | 0.9297 | 0.9663 | 0.9477 | 178 | 0.9683 | 0.9531 | 0.9606 | 128 | 0.9277 | 0.9490 | 0.9382 | 0.9868 |
84
+ | 0.0037 | 20.0 | 1920 | 0.0904 | 0.8283 | 0.9535 | 0.8865 | 86 | 0.9659 | 0.9551 | 0.9605 | 178 | 0.984 | 0.9609 | 0.9723 | 128 | 0.9375 | 0.9566 | 0.9470 | 0.9887 |
85
+ | 0.0038 | 21.0 | 2016 | 0.0787 | 0.8925 | 0.9651 | 0.9274 | 86 | 0.9385 | 0.9438 | 0.9412 | 178 | 0.9609 | 0.9609 | 0.9609 | 128 | 0.935 | 0.9541 | 0.9444 | 0.9879 |
86
+ | 0.0024 | 22.0 | 2112 | 0.0697 | 0.8526 | 0.9419 | 0.8950 | 86 | 0.9286 | 0.9494 | 0.9389 | 178 | 0.9677 | 0.9375 | 0.9524 | 128 | 0.9227 | 0.9439 | 0.9332 | 0.9889 |
87
+ | 0.0041 | 23.0 | 2208 | 0.0794 | 0.9011 | 0.9535 | 0.9266 | 86 | 0.9441 | 0.9494 | 0.9468 | 178 | 0.9685 | 0.9609 | 0.9647 | 128 | 0.9421 | 0.9541 | 0.9480 | 0.9876 |
88
+ | 0.0033 | 24.0 | 2304 | 0.0830 | 0.9 | 0.9419 | 0.9205 | 86 | 0.9231 | 0.9438 | 0.9333 | 178 | 0.9758 | 0.9453 | 0.9603 | 128 | 0.9343 | 0.9439 | 0.9391 | 0.9881 |
89
+ | 0.0034 | 25.0 | 2400 | 0.0804 | 0.8632 | 0.9535 | 0.9061 | 86 | 0.9448 | 0.9607 | 0.9526 | 178 | 0.9841 | 0.9688 | 0.9764 | 128 | 0.9378 | 0.9617 | 0.9496 | 0.9881 |
90
+ | 0.0012 | 26.0 | 2496 | 0.0728 | 0.9011 | 0.9535 | 0.9266 | 86 | 0.9341 | 0.9551 | 0.9444 | 178 | 0.9841 | 0.9688 | 0.9764 | 128 | 0.9424 | 0.9592 | 0.9507 | 0.9903 |
91
+ | 0.0015 | 27.0 | 2592 | 0.0957 | 0.9101 | 0.9419 | 0.9257 | 86 | 0.9301 | 0.9719 | 0.9505 | 178 | 0.9762 | 0.9609 | 0.9685 | 128 | 0.9401 | 0.9617 | 0.9508 | 0.9881 |
92
+ | 0.0029 | 28.0 | 2688 | 0.0766 | 0.8830 | 0.9651 | 0.9222 | 86 | 0.9545 | 0.9438 | 0.9492 | 178 | 0.9841 | 0.9688 | 0.9764 | 128 | 0.9470 | 0.9566 | 0.9518 | 0.9881 |
93
+ | 0.0031 | 29.0 | 2784 | 0.0802 | 0.8571 | 0.9767 | 0.9130 | 86 | 0.9649 | 0.9270 | 0.9456 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9419 | 0.9515 | 0.9467 | 0.9879 |
94
+ | 0.0018 | 30.0 | 2880 | 0.0837 | 0.8710 | 0.9419 | 0.9050 | 86 | 0.9605 | 0.9551 | 0.9577 | 178 | 0.9841 | 0.9688 | 0.9764 | 128 | 0.9470 | 0.9566 | 0.9518 | 0.9892 |
95
+ | 0.0017 | 31.0 | 2976 | 0.0792 | 0.9222 | 0.9651 | 0.9432 | 86 | 0.9505 | 0.9719 | 0.9611 | 178 | 0.9683 | 0.9531 | 0.9606 | 128 | 0.9497 | 0.9643 | 0.9570 | 0.9903 |
96
+ | 0.0017 | 32.0 | 3072 | 0.0675 | 0.8737 | 0.9651 | 0.9171 | 86 | 0.9661 | 0.9607 | 0.9634 | 178 | 0.976 | 0.9531 | 0.9644 | 128 | 0.9471 | 0.9592 | 0.9531 | 0.9906 |
97
+ | 0.0012 | 33.0 | 3168 | 0.0909 | 0.8925 | 0.9651 | 0.9274 | 86 | 0.9709 | 0.9382 | 0.9543 | 178 | 0.984 | 0.9609 | 0.9723 | 128 | 0.9564 | 0.9515 | 0.9540 | 0.9897 |
98
+ | 0.002 | 34.0 | 3264 | 0.1077 | 0.9101 | 0.9419 | 0.9257 | 86 | 0.9422 | 0.9157 | 0.9288 | 178 | 0.968 | 0.9453 | 0.9565 | 128 | 0.9432 | 0.9311 | 0.9371 | 0.9846 |
99
+ | 0.0023 | 35.0 | 3360 | 0.0912 | 0.8913 | 0.9535 | 0.9213 | 86 | 0.9396 | 0.9607 | 0.95 | 178 | 0.9762 | 0.9609 | 0.9685 | 128 | 0.94 | 0.9592 | 0.9495 | 0.9881 |
100
+ | 0.0016 | 36.0 | 3456 | 0.0839 | 0.8925 | 0.9651 | 0.9274 | 86 | 0.9655 | 0.9438 | 0.9545 | 178 | 0.984 | 0.9609 | 0.9723 | 128 | 0.9541 | 0.9541 | 0.9541 | 0.9892 |
101
+ | 0.0012 | 37.0 | 3552 | 0.1070 | 0.8817 | 0.9535 | 0.9162 | 86 | 0.9480 | 0.9213 | 0.9345 | 178 | 0.976 | 0.9531 | 0.9644 | 128 | 0.9412 | 0.9388 | 0.9400 | 0.9857 |
102
+ | 0.0009 | 38.0 | 3648 | 0.0856 | 0.8947 | 0.9884 | 0.9392 | 86 | 0.9540 | 0.9326 | 0.9432 | 178 | 0.984 | 0.9609 | 0.9723 | 128 | 0.9492 | 0.9541 | 0.9517 | 0.9884 |
103
+ | 0.0006 | 39.0 | 3744 | 0.0964 | 0.8936 | 0.9767 | 0.9333 | 86 | 0.9483 | 0.9270 | 0.9375 | 178 | 0.9685 | 0.9609 | 0.9647 | 128 | 0.9418 | 0.9490 | 0.9454 | 0.9862 |
104
+ | 0.0011 | 40.0 | 3840 | 0.0992 | 0.9011 | 0.9535 | 0.9266 | 86 | 0.9492 | 0.9438 | 0.9465 | 178 | 0.9762 | 0.9609 | 0.9685 | 128 | 0.9467 | 0.9515 | 0.9491 | 0.9870 |
105
+ | 0.0009 | 41.0 | 3936 | 0.1072 | 0.9032 | 0.9767 | 0.9385 | 86 | 0.9489 | 0.9382 | 0.9435 | 178 | 0.976 | 0.9531 | 0.9644 | 128 | 0.9467 | 0.9515 | 0.9491 | 0.9860 |
106
+ | 0.0007 | 42.0 | 4032 | 0.1193 | 0.8936 | 0.9767 | 0.9333 | 86 | 0.9595 | 0.9326 | 0.9459 | 178 | 0.9839 | 0.9531 | 0.9683 | 128 | 0.9514 | 0.9490 | 0.9502 | 0.9865 |
107
+ | 0.0014 | 43.0 | 4128 | 0.1129 | 0.9032 | 0.9767 | 0.9385 | 86 | 0.9489 | 0.9382 | 0.9435 | 178 | 0.9683 | 0.9531 | 0.9606 | 128 | 0.9443 | 0.9515 | 0.9479 | 0.9868 |
108
+ | 0.0007 | 44.0 | 4224 | 0.1289 | 0.9130 | 0.9767 | 0.9438 | 86 | 0.9492 | 0.9438 | 0.9465 | 178 | 0.9609 | 0.9609 | 0.9609 | 128 | 0.9446 | 0.9566 | 0.9506 | 0.9849 |
109
+ | 0.0006 | 45.0 | 4320 | 0.1167 | 0.8842 | 0.9767 | 0.9282 | 86 | 0.9392 | 0.9551 | 0.9471 | 178 | 0.9688 | 0.9688 | 0.9688 | 128 | 0.9356 | 0.9643 | 0.9497 | 0.9868 |
110
+ | 0.0014 | 46.0 | 4416 | 0.1168 | 0.8646 | 0.9651 | 0.9121 | 86 | 0.9543 | 0.9382 | 0.9462 | 178 | 0.9839 | 0.9531 | 0.9683 | 128 | 0.9418 | 0.9490 | 0.9454 | 0.9873 |
111
+ | 0.0022 | 47.0 | 4512 | 0.1090 | 0.8737 | 0.9651 | 0.9171 | 86 | 0.9702 | 0.9157 | 0.9422 | 178 | 0.9841 | 0.9688 | 0.9764 | 128 | 0.9512 | 0.9439 | 0.9475 | 0.9868 |
112
+ | 0.0033 | 48.0 | 4608 | 0.0899 | 0.9222 | 0.9651 | 0.9432 | 86 | 0.9333 | 0.9438 | 0.9385 | 178 | 0.9758 | 0.9453 | 0.9603 | 128 | 0.9442 | 0.9490 | 0.9466 | 0.9889 |
113
+ | 0.001 | 49.0 | 4704 | 0.1123 | 0.8830 | 0.9651 | 0.9222 | 86 | 0.9704 | 0.9213 | 0.9452 | 178 | 0.9839 | 0.9531 | 0.9683 | 128 | 0.9535 | 0.9413 | 0.9474 | 0.9870 |
114
+ | 0.0007 | 50.0 | 4800 | 0.0937 | 0.9011 | 0.9535 | 0.9266 | 86 | 0.9486 | 0.9326 | 0.9405 | 178 | 0.984 | 0.9609 | 0.9723 | 128 | 0.9488 | 0.9464 | 0.9476 | 0.9887 |
115
+ | 0.0011 | 51.0 | 4896 | 0.1082 | 0.9032 | 0.9767 | 0.9385 | 86 | 0.9278 | 0.9382 | 0.9330 | 178 | 0.9841 | 0.9688 | 0.9764 | 128 | 0.9398 | 0.9566 | 0.9482 | 0.9865 |
116
+ | 0.0015 | 52.0 | 4992 | 0.1112 | 0.9011 | 0.9535 | 0.9266 | 86 | 0.9645 | 0.9157 | 0.9395 | 178 | 0.9762 | 0.9609 | 0.9685 | 128 | 0.9534 | 0.9388 | 0.9460 | 0.9879 |
117
+ | 0.0009 | 53.0 | 5088 | 0.1032 | 0.8925 | 0.9651 | 0.9274 | 86 | 0.9341 | 0.9551 | 0.9444 | 178 | 0.984 | 0.9609 | 0.9723 | 128 | 0.94 | 0.9592 | 0.9495 | 0.9881 |
118
+ | 0.0033 | 54.0 | 5184 | 0.1181 | 0.8925 | 0.9651 | 0.9274 | 86 | 0.9593 | 0.9270 | 0.9429 | 178 | 0.984 | 0.9609 | 0.9723 | 128 | 0.9513 | 0.9464 | 0.9488 | 0.9870 |
119
+ | 0.0008 | 55.0 | 5280 | 0.1207 | 0.9022 | 0.9651 | 0.9326 | 86 | 0.9651 | 0.9326 | 0.9486 | 178 | 0.9688 | 0.9688 | 0.9688 | 128 | 0.9515 | 0.9515 | 0.9515 | 0.9865 |
120
+ | 0.0009 | 56.0 | 5376 | 0.1379 | 0.8632 | 0.9535 | 0.9061 | 86 | 0.9702 | 0.9157 | 0.9422 | 178 | 0.984 | 0.9609 | 0.9723 | 128 | 0.9485 | 0.9388 | 0.9436 | 0.9857 |
121
+ | 0.001 | 57.0 | 5472 | 0.1120 | 0.8925 | 0.9651 | 0.9274 | 86 | 0.9708 | 0.9326 | 0.9513 | 178 | 0.984 | 0.9609 | 0.9723 | 128 | 0.9563 | 0.9490 | 0.9526 | 0.9881 |
122
+ | 0.0013 | 58.0 | 5568 | 0.1086 | 0.8830 | 0.9651 | 0.9222 | 86 | 0.9483 | 0.9270 | 0.9375 | 178 | 0.9841 | 0.9688 | 0.9764 | 128 | 0.9442 | 0.9490 | 0.9466 | 0.9862 |
123
+ | 0.0005 | 59.0 | 5664 | 0.1218 | 0.8660 | 0.9767 | 0.9180 | 86 | 0.9641 | 0.9045 | 0.9333 | 178 | 0.9538 | 0.9688 | 0.9612 | 128 | 0.9365 | 0.9413 | 0.9389 | 0.9854 |
124
+ | 0.0007 | 60.0 | 5760 | 0.0958 | 0.8913 | 0.9535 | 0.9213 | 86 | 0.9239 | 0.9551 | 0.9392 | 178 | 0.9839 | 0.9531 | 0.9683 | 128 | 0.935 | 0.9541 | 0.9444 | 0.9881 |
125
+ | 0.0002 | 61.0 | 5856 | 0.1076 | 0.8817 | 0.9535 | 0.9162 | 86 | 0.9593 | 0.9270 | 0.9429 | 178 | 0.976 | 0.9531 | 0.9644 | 128 | 0.9462 | 0.9413 | 0.9437 | 0.9879 |
126
+ | 0.0023 | 62.0 | 5952 | 0.0877 | 0.9140 | 0.9884 | 0.9497 | 86 | 0.9494 | 0.9494 | 0.9494 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9497 | 0.9643 | 0.9570 | 0.9895 |
127
+ | 0.0013 | 63.0 | 6048 | 0.0885 | 0.9032 | 0.9767 | 0.9385 | 86 | 0.9448 | 0.9607 | 0.9526 | 178 | 0.9841 | 0.9688 | 0.9764 | 128 | 0.9475 | 0.9668 | 0.9571 | 0.9895 |
128
+ | 0.0009 | 64.0 | 6144 | 0.0825 | 0.9032 | 0.9767 | 0.9385 | 86 | 0.9605 | 0.9551 | 0.9577 | 178 | 0.9841 | 0.9688 | 0.9764 | 128 | 0.9545 | 0.9643 | 0.9594 | 0.9900 |
129
+ | 0.0003 | 65.0 | 6240 | 0.0838 | 0.9222 | 0.9651 | 0.9432 | 86 | 0.96 | 0.9438 | 0.9518 | 178 | 0.9841 | 0.9688 | 0.9764 | 128 | 0.9591 | 0.9566 | 0.9579 | 0.9884 |
130
+ | 0.0006 | 66.0 | 6336 | 0.0957 | 0.9032 | 0.9767 | 0.9385 | 86 | 0.96 | 0.9438 | 0.9518 | 178 | 0.9841 | 0.9688 | 0.9764 | 128 | 0.9543 | 0.9592 | 0.9567 | 0.9887 |
131
+ | 0.0004 | 67.0 | 6432 | 0.1129 | 0.8925 | 0.9651 | 0.9274 | 86 | 0.9649 | 0.9270 | 0.9456 | 178 | 0.9841 | 0.9688 | 0.9764 | 128 | 0.9538 | 0.9490 | 0.9514 | 0.9879 |
132
+ | 0.0003 | 68.0 | 6528 | 0.1161 | 0.8936 | 0.9767 | 0.9333 | 86 | 0.9538 | 0.9270 | 0.9402 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9467 | 0.9515 | 0.9491 | 0.9870 |
133
+ | 0.0002 | 69.0 | 6624 | 0.1234 | 0.8936 | 0.9767 | 0.9333 | 86 | 0.9645 | 0.9157 | 0.9395 | 178 | 0.9688 | 0.9688 | 0.9688 | 128 | 0.9488 | 0.9464 | 0.9476 | 0.9862 |
134
+ | 0.0006 | 70.0 | 6720 | 0.1162 | 0.9231 | 0.9767 | 0.9492 | 86 | 0.9651 | 0.9326 | 0.9486 | 178 | 0.9841 | 0.9688 | 0.9764 | 128 | 0.9614 | 0.9541 | 0.9577 | 0.9884 |
135
+ | 0.0002 | 71.0 | 6816 | 0.1107 | 0.9333 | 0.9767 | 0.9545 | 86 | 0.96 | 0.9438 | 0.9518 | 178 | 0.9841 | 0.9688 | 0.9764 | 128 | 0.9616 | 0.9592 | 0.9604 | 0.9879 |
136
+ | 0.0002 | 72.0 | 6912 | 0.1121 | 0.9231 | 0.9767 | 0.9492 | 86 | 0.9598 | 0.9382 | 0.9489 | 178 | 0.9841 | 0.9688 | 0.9764 | 128 | 0.9591 | 0.9566 | 0.9579 | 0.9879 |
137
+ | 0.0002 | 73.0 | 7008 | 0.1122 | 0.9231 | 0.9767 | 0.9492 | 86 | 0.9543 | 0.9382 | 0.9462 | 178 | 0.9841 | 0.9688 | 0.9764 | 128 | 0.9566 | 0.9566 | 0.9566 | 0.9881 |
138
+ | 0.0005 | 74.0 | 7104 | 0.1127 | 0.9231 | 0.9767 | 0.9492 | 86 | 0.9543 | 0.9382 | 0.9462 | 178 | 0.9841 | 0.9688 | 0.9764 | 128 | 0.9566 | 0.9566 | 0.9566 | 0.9873 |
139
+ | 0.0004 | 75.0 | 7200 | 0.1170 | 0.9130 | 0.9767 | 0.9438 | 86 | 0.9540 | 0.9326 | 0.9432 | 178 | 0.9688 | 0.9688 | 0.9688 | 128 | 0.9492 | 0.9541 | 0.9517 | 0.9862 |
140
+ | 0.0003 | 76.0 | 7296 | 0.1089 | 0.9333 | 0.9767 | 0.9545 | 86 | 0.9444 | 0.9551 | 0.9497 | 178 | 0.9762 | 0.9609 | 0.9685 | 128 | 0.9520 | 0.9617 | 0.9569 | 0.9892 |
141
+ | 0.001 | 77.0 | 7392 | 0.1082 | 0.9231 | 0.9767 | 0.9492 | 86 | 0.9503 | 0.9663 | 0.9582 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9524 | 0.9694 | 0.9608 | 0.9895 |
142
+ | 0.0012 | 78.0 | 7488 | 0.1009 | 0.9022 | 0.9651 | 0.9326 | 86 | 0.9330 | 0.9382 | 0.9356 | 178 | 0.9688 | 0.9688 | 0.9688 | 128 | 0.9373 | 0.9541 | 0.9456 | 0.9862 |
143
+ | 0.0002 | 79.0 | 7584 | 0.1051 | 0.8632 | 0.9535 | 0.9061 | 86 | 0.9489 | 0.9382 | 0.9435 | 178 | 0.976 | 0.9531 | 0.9644 | 128 | 0.9369 | 0.9464 | 0.9416 | 0.9865 |
144
+ | 0.0002 | 80.0 | 7680 | 0.1108 | 0.8723 | 0.9535 | 0.9111 | 86 | 0.9540 | 0.9326 | 0.9432 | 178 | 0.976 | 0.9531 | 0.9644 | 128 | 0.9415 | 0.9439 | 0.9427 | 0.9865 |
145
+ | 0.0005 | 81.0 | 7776 | 0.1037 | 0.8913 | 0.9535 | 0.9213 | 86 | 0.9543 | 0.9382 | 0.9462 | 178 | 0.9762 | 0.9609 | 0.9685 | 128 | 0.9466 | 0.9490 | 0.9478 | 0.9870 |
146
+ | 0.0003 | 82.0 | 7872 | 0.1031 | 0.8710 | 0.9419 | 0.9050 | 86 | 0.9540 | 0.9326 | 0.9432 | 178 | 0.976 | 0.9531 | 0.9644 | 128 | 0.9413 | 0.9413 | 0.9413 | 0.9868 |
147
+ | 0.0003 | 83.0 | 7968 | 0.0996 | 0.9121 | 0.9651 | 0.9379 | 86 | 0.9602 | 0.9494 | 0.9548 | 178 | 0.9685 | 0.9609 | 0.9647 | 128 | 0.9518 | 0.9566 | 0.9542 | 0.9887 |
148
+ | 0.0002 | 84.0 | 8064 | 0.0987 | 0.9222 | 0.9651 | 0.9432 | 86 | 0.9602 | 0.9494 | 0.9548 | 178 | 0.9685 | 0.9609 | 0.9647 | 128 | 0.9542 | 0.9566 | 0.9554 | 0.9887 |
149
+ | 0.0004 | 85.0 | 8160 | 0.1017 | 0.9222 | 0.9651 | 0.9432 | 86 | 0.9602 | 0.9494 | 0.9548 | 178 | 0.9685 | 0.9609 | 0.9647 | 128 | 0.9542 | 0.9566 | 0.9554 | 0.9887 |
150
+ | 0.0002 | 86.0 | 8256 | 0.1018 | 0.9222 | 0.9651 | 0.9432 | 86 | 0.9602 | 0.9494 | 0.9548 | 178 | 0.9685 | 0.9609 | 0.9647 | 128 | 0.9542 | 0.9566 | 0.9554 | 0.9887 |
151
+ | 0.0001 | 87.0 | 8352 | 0.1017 | 0.9222 | 0.9651 | 0.9432 | 86 | 0.9553 | 0.9607 | 0.9580 | 178 | 0.9685 | 0.9609 | 0.9647 | 128 | 0.9520 | 0.9617 | 0.9569 | 0.9889 |
152
+ | 0.0002 | 88.0 | 8448 | 0.1028 | 0.9222 | 0.9651 | 0.9432 | 86 | 0.9602 | 0.9494 | 0.9548 | 178 | 0.9685 | 0.9609 | 0.9647 | 128 | 0.9542 | 0.9566 | 0.9554 | 0.9887 |
153
+ | 0.0001 | 89.0 | 8544 | 0.1033 | 0.9222 | 0.9651 | 0.9432 | 86 | 0.9602 | 0.9494 | 0.9548 | 178 | 0.9685 | 0.9609 | 0.9647 | 128 | 0.9542 | 0.9566 | 0.9554 | 0.9887 |
154
+ | 0.0002 | 90.0 | 8640 | 0.1026 | 0.9213 | 0.9535 | 0.9371 | 86 | 0.9545 | 0.9438 | 0.9492 | 178 | 0.9762 | 0.9609 | 0.9685 | 128 | 0.9540 | 0.9515 | 0.9527 | 0.9879 |
155
+ | 0.0002 | 91.0 | 8736 | 0.1024 | 0.9213 | 0.9535 | 0.9371 | 86 | 0.9545 | 0.9438 | 0.9492 | 178 | 0.9762 | 0.9609 | 0.9685 | 128 | 0.9540 | 0.9515 | 0.9527 | 0.9879 |
156
+ | 0.0002 | 92.0 | 8832 | 0.1025 | 0.9213 | 0.9535 | 0.9371 | 86 | 0.9545 | 0.9438 | 0.9492 | 178 | 0.9762 | 0.9609 | 0.9685 | 128 | 0.9540 | 0.9515 | 0.9527 | 0.9879 |
157
+ | 0.0002 | 93.0 | 8928 | 0.1039 | 0.9213 | 0.9535 | 0.9371 | 86 | 0.9545 | 0.9438 | 0.9492 | 178 | 0.9762 | 0.9609 | 0.9685 | 128 | 0.9540 | 0.9515 | 0.9527 | 0.9879 |
158
+ | 0.0001 | 94.0 | 9024 | 0.1034 | 0.9213 | 0.9535 | 0.9371 | 86 | 0.9545 | 0.9438 | 0.9492 | 178 | 0.9762 | 0.9609 | 0.9685 | 128 | 0.9540 | 0.9515 | 0.9527 | 0.9879 |
159
+ | 0.0001 | 95.0 | 9120 | 0.1036 | 0.9213 | 0.9535 | 0.9371 | 86 | 0.9545 | 0.9438 | 0.9492 | 178 | 0.9762 | 0.9609 | 0.9685 | 128 | 0.9540 | 0.9515 | 0.9527 | 0.9879 |
160
+ | 0.0001 | 96.0 | 9216 | 0.1087 | 0.8925 | 0.9651 | 0.9274 | 86 | 0.9538 | 0.9270 | 0.9402 | 178 | 0.9762 | 0.9609 | 0.9685 | 128 | 0.9464 | 0.9464 | 0.9464 | 0.9873 |
161
+ | 0.0005 | 97.0 | 9312 | 0.1056 | 0.8925 | 0.9651 | 0.9274 | 86 | 0.9538 | 0.9270 | 0.9402 | 178 | 0.9685 | 0.9609 | 0.9647 | 128 | 0.9440 | 0.9464 | 0.9452 | 0.9876 |
162
+ | 0.0003 | 98.0 | 9408 | 0.1045 | 0.8925 | 0.9651 | 0.9274 | 86 | 0.9538 | 0.9270 | 0.9402 | 178 | 0.9685 | 0.9609 | 0.9647 | 128 | 0.9440 | 0.9464 | 0.9452 | 0.9876 |
163
+ | 0.0001 | 99.0 | 9504 | 0.1047 | 0.8925 | 0.9651 | 0.9274 | 86 | 0.9538 | 0.9270 | 0.9402 | 178 | 0.9685 | 0.9609 | 0.9647 | 128 | 0.9440 | 0.9464 | 0.9452 | 0.9876 |
164
+ | 0.0002 | 100.0 | 9600 | 0.1047 | 0.8925 | 0.9651 | 0.9274 | 86 | 0.9538 | 0.9270 | 0.9402 | 178 | 0.9685 | 0.9609 | 0.9647 | 128 | 0.9440 | 0.9464 | 0.9452 | 0.9876 |
165
 
166
 
167
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