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End of training

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  1. README.md +447 -27
  2. config.json +34 -33
  3. model.safetensors +2 -2
  4. runs/Apr06_22-26-18_archlinux/events.out.tfevents.1712435180.archlinux.7751.0 +3 -0
  5. runs/Apr07_08-18-26_archlinux/events.out.tfevents.1712470709.archlinux.96749.0 +3 -0
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README.md CHANGED
@@ -1,6 +1,6 @@
1
  ---
2
- license: cc-by-nc-4.0
3
- base_model: NYTK/PULI-BERT-Large
4
  tags:
5
  - generated_from_trainer
6
  metrics:
@@ -18,13 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
18
 
19
  # kmdb_ner_model
20
 
21
- This model is a fine-tuned version of [NYTK/PULI-BERT-Large](https://huggingface.co/NYTK/PULI-BERT-Large) on an unknown dataset.
22
  It achieves the following results on the evaluation set:
23
- - Loss: 0.0405
24
- - Precision: 0.8023
25
- - Recall: 0.8261
26
- - F1: 0.8140
27
- - Accuracy: 0.9842
28
 
29
  ## Model description
30
 
@@ -43,35 +43,455 @@ More information needed
43
  ### Training hyperparameters
44
 
45
  The following hyperparameters were used during training:
46
- - learning_rate: 2e-05
47
  - train_batch_size: 4
48
  - eval_batch_size: 4
49
  - seed: 42
50
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
51
  - lr_scheduler_type: linear
52
- - num_epochs: 2
53
 
54
  ### Training results
55
 
56
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
57
  |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
58
- | 0.0613 | 0.11 | 1000 | 0.0575 | 0.7102 | 0.7359 | 0.7228 | 0.9776 |
59
- | 0.0559 | 0.23 | 2000 | 0.0525 | 0.7108 | 0.7611 | 0.7351 | 0.9788 |
60
- | 0.0569 | 0.34 | 3000 | 0.0512 | 0.7375 | 0.7856 | 0.7608 | 0.9798 |
61
- | 0.0481 | 0.45 | 4000 | 0.0496 | 0.7402 | 0.7975 | 0.7678 | 0.9803 |
62
- | 0.041 | 0.57 | 5000 | 0.0474 | 0.7567 | 0.7981 | 0.7769 | 0.9809 |
63
- | 0.0434 | 0.68 | 6000 | 0.0463 | 0.7588 | 0.7853 | 0.7718 | 0.9813 |
64
- | 0.0577 | 0.8 | 7000 | 0.0462 | 0.7592 | 0.7896 | 0.7741 | 0.9812 |
65
- | 0.0422 | 0.91 | 8000 | 0.0428 | 0.7820 | 0.8057 | 0.7937 | 0.9828 |
66
- | 0.0346 | 1.02 | 9000 | 0.0443 | 0.7758 | 0.8153 | 0.7951 | 0.9825 |
67
- | 0.0301 | 1.14 | 10000 | 0.0431 | 0.7831 | 0.8124 | 0.7974 | 0.9830 |
68
- | 0.0305 | 1.25 | 11000 | 0.0427 | 0.7955 | 0.8162 | 0.8057 | 0.9834 |
69
- | 0.0347 | 1.36 | 12000 | 0.0420 | 0.7923 | 0.8171 | 0.8045 | 0.9834 |
70
- | 0.0397 | 1.48 | 13000 | 0.0422 | 0.7923 | 0.8220 | 0.8069 | 0.9835 |
71
- | 0.0267 | 1.59 | 14000 | 0.0411 | 0.7970 | 0.8209 | 0.8087 | 0.9838 |
72
- | 0.03 | 1.71 | 15000 | 0.0415 | 0.7946 | 0.8230 | 0.8085 | 0.9838 |
73
- | 0.0311 | 1.82 | 16000 | 0.0407 | 0.8023 | 0.8253 | 0.8136 | 0.9842 |
74
- | 0.0283 | 1.93 | 17000 | 0.0405 | 0.8023 | 0.8261 | 0.8140 | 0.9842 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
75
 
76
 
77
  ### Framework versions
 
1
  ---
2
+ license: apache-2.0
3
+ base_model: SZTAKI-HLT/hubert-base-cc
4
  tags:
5
  - generated_from_trainer
6
  metrics:
 
18
 
19
  # kmdb_ner_model
20
 
21
+ This model is a fine-tuned version of [SZTAKI-HLT/hubert-base-cc](https://huggingface.co/SZTAKI-HLT/hubert-base-cc) on an unknown dataset.
22
  It achieves the following results on the evaluation set:
23
+ - Loss: 0.0324
24
+ - Precision: 0.8534
25
+ - Recall: 0.8663
26
+ - F1: 0.8598
27
+ - Accuracy: 0.9888
28
 
29
  ## Model description
30
 
 
43
  ### Training hyperparameters
44
 
45
  The following hyperparameters were used during training:
46
+ - learning_rate: 0.0001
47
  - train_batch_size: 4
48
  - eval_batch_size: 4
49
  - seed: 42
50
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
51
  - lr_scheduler_type: linear
52
+ - num_epochs: 4
53
 
54
  ### Training results
55
 
56
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
57
  |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
58
+ | 0.1602 | 0.01 | 100 | 0.1829 | 0.3243 | 0.4688 | 0.3834 | 0.9394 |
59
+ | 0.0987 | 0.02 | 200 | 0.0950 | 0.4735 | 0.5440 | 0.5063 | 0.9645 |
60
+ | 0.0798 | 0.03 | 300 | 0.0797 | 0.5444 | 0.6213 | 0.5804 | 0.9700 |
61
+ | 0.0621 | 0.04 | 400 | 0.0721 | 0.6397 | 0.6657 | 0.6524 | 0.9702 |
62
+ | 0.0755 | 0.05 | 500 | 0.0754 | 0.3976 | 0.5034 | 0.4443 | 0.9685 |
63
+ | 0.0652 | 0.05 | 600 | 0.0756 | 0.4717 | 0.5575 | 0.5110 | 0.9666 |
64
+ | 0.0469 | 0.06 | 700 | 0.0753 | 0.6274 | 0.6476 | 0.6373 | 0.9705 |
65
+ | 0.0611 | 0.07 | 800 | 0.0650 | 0.6423 | 0.6597 | 0.6509 | 0.9715 |
66
+ | 0.0683 | 0.08 | 900 | 0.0664 | 0.5837 | 0.6236 | 0.6030 | 0.9712 |
67
+ | 0.0465 | 0.09 | 1000 | 0.0654 | 0.6410 | 0.6559 | 0.6483 | 0.9711 |
68
+ | 0.0668 | 0.1 | 1100 | 0.0648 | 0.6061 | 0.6521 | 0.6283 | 0.9713 |
69
+ | 0.0561 | 0.11 | 1200 | 0.0667 | 0.4814 | 0.5733 | 0.5233 | 0.9717 |
70
+ | 0.049 | 0.12 | 1300 | 0.0612 | 0.6627 | 0.7160 | 0.6883 | 0.9761 |
71
+ | 0.0619 | 0.13 | 1400 | 0.0602 | 0.6138 | 0.6461 | 0.6296 | 0.9712 |
72
+ | 0.0362 | 0.14 | 1500 | 0.0580 | 0.7041 | 0.7258 | 0.7148 | 0.9769 |
73
+ | 0.0503 | 0.15 | 1600 | 0.0575 | 0.5589 | 0.6311 | 0.5928 | 0.9752 |
74
+ | 0.0521 | 0.16 | 1700 | 0.0594 | 0.5843 | 0.6356 | 0.6089 | 0.9737 |
75
+ | 0.0537 | 0.16 | 1800 | 0.0602 | 0.6281 | 0.6814 | 0.6537 | 0.9758 |
76
+ | 0.0439 | 0.17 | 1900 | 0.0538 | 0.6605 | 0.7280 | 0.6926 | 0.9790 |
77
+ | 0.0376 | 0.18 | 2000 | 0.0553 | 0.7142 | 0.7303 | 0.7221 | 0.9779 |
78
+ | 0.0421 | 0.19 | 2100 | 0.0554 | 0.6985 | 0.7258 | 0.7119 | 0.9780 |
79
+ | 0.0387 | 0.2 | 2200 | 0.0560 | 0.7076 | 0.7145 | 0.7110 | 0.9775 |
80
+ | 0.0548 | 0.21 | 2300 | 0.0559 | 0.5948 | 0.6551 | 0.6235 | 0.9753 |
81
+ | 0.0502 | 0.22 | 2400 | 0.0555 | 0.6095 | 0.6860 | 0.6455 | 0.9768 |
82
+ | 0.0461 | 0.23 | 2500 | 0.0510 | 0.6838 | 0.7100 | 0.6966 | 0.9783 |
83
+ | 0.0482 | 0.24 | 2600 | 0.0559 | 0.6608 | 0.7010 | 0.6803 | 0.9771 |
84
+ | 0.0647 | 0.25 | 2700 | 0.0478 | 0.6293 | 0.7130 | 0.6685 | 0.9797 |
85
+ | 0.0587 | 0.26 | 2800 | 0.0516 | 0.6861 | 0.7175 | 0.7014 | 0.9775 |
86
+ | 0.0618 | 0.27 | 2900 | 0.0566 | 0.6164 | 0.7040 | 0.6573 | 0.9776 |
87
+ | 0.0418 | 0.27 | 3000 | 0.0622 | 0.6069 | 0.6694 | 0.6367 | 0.9714 |
88
+ | 0.0401 | 0.28 | 3100 | 0.0493 | 0.6623 | 0.7205 | 0.6902 | 0.9780 |
89
+ | 0.0488 | 0.29 | 3200 | 0.0531 | 0.6982 | 0.7423 | 0.7196 | 0.9785 |
90
+ | 0.0396 | 0.3 | 3300 | 0.0505 | 0.6872 | 0.7393 | 0.7123 | 0.9795 |
91
+ | 0.0475 | 0.31 | 3400 | 0.0521 | 0.7220 | 0.7415 | 0.7317 | 0.9789 |
92
+ | 0.0455 | 0.32 | 3500 | 0.0566 | 0.5941 | 0.6664 | 0.6282 | 0.9766 |
93
+ | 0.0411 | 0.33 | 3600 | 0.0478 | 0.6477 | 0.7100 | 0.6774 | 0.9791 |
94
+ | 0.0582 | 0.34 | 3700 | 0.0548 | 0.6767 | 0.7092 | 0.6926 | 0.9759 |
95
+ | 0.066 | 0.35 | 3800 | 0.0523 | 0.6894 | 0.7355 | 0.7117 | 0.9775 |
96
+ | 0.0309 | 0.36 | 3900 | 0.0472 | 0.6868 | 0.7348 | 0.7100 | 0.9800 |
97
+ | 0.0562 | 0.37 | 4000 | 0.0492 | 0.6776 | 0.7265 | 0.7012 | 0.9782 |
98
+ | 0.0419 | 0.38 | 4100 | 0.0535 | 0.6655 | 0.7130 | 0.6884 | 0.9778 |
99
+ | 0.0459 | 0.38 | 4200 | 0.0433 | 0.6897 | 0.7431 | 0.7154 | 0.9808 |
100
+ | 0.047 | 0.39 | 4300 | 0.0481 | 0.6817 | 0.7273 | 0.7037 | 0.9794 |
101
+ | 0.0527 | 0.4 | 4400 | 0.0496 | 0.6165 | 0.6980 | 0.6547 | 0.9788 |
102
+ | 0.0427 | 0.41 | 4500 | 0.0458 | 0.6577 | 0.7175 | 0.6863 | 0.9792 |
103
+ | 0.0597 | 0.42 | 4600 | 0.0446 | 0.7123 | 0.7385 | 0.7252 | 0.9789 |
104
+ | 0.0457 | 0.43 | 4700 | 0.0491 | 0.6816 | 0.7303 | 0.7051 | 0.9795 |
105
+ | 0.0439 | 0.44 | 4800 | 0.0483 | 0.6987 | 0.7438 | 0.7205 | 0.9785 |
106
+ | 0.0488 | 0.45 | 4900 | 0.0495 | 0.6920 | 0.7393 | 0.7149 | 0.9804 |
107
+ | 0.0401 | 0.46 | 5000 | 0.0476 | 0.7116 | 0.7415 | 0.7263 | 0.9790 |
108
+ | 0.0432 | 0.47 | 5100 | 0.0490 | 0.6914 | 0.7220 | 0.7064 | 0.9796 |
109
+ | 0.0572 | 0.48 | 5200 | 0.0459 | 0.6770 | 0.7528 | 0.7129 | 0.9811 |
110
+ | 0.0496 | 0.48 | 5300 | 0.0536 | 0.7123 | 0.7461 | 0.7288 | 0.9781 |
111
+ | 0.0547 | 0.49 | 5400 | 0.0532 | 0.6403 | 0.6942 | 0.6662 | 0.9747 |
112
+ | 0.0509 | 0.5 | 5500 | 0.0499 | 0.6758 | 0.7378 | 0.7055 | 0.9796 |
113
+ | 0.0531 | 0.51 | 5600 | 0.0460 | 0.6980 | 0.7521 | 0.7241 | 0.9813 |
114
+ | 0.0611 | 0.52 | 5700 | 0.0466 | 0.644 | 0.7258 | 0.6824 | 0.9804 |
115
+ | 0.0487 | 0.53 | 5800 | 0.0465 | 0.6978 | 0.7513 | 0.7236 | 0.9805 |
116
+ | 0.0339 | 0.54 | 5900 | 0.0489 | 0.7001 | 0.7453 | 0.7220 | 0.9801 |
117
+ | 0.04 | 0.55 | 6000 | 0.0475 | 0.6674 | 0.7250 | 0.6950 | 0.9809 |
118
+ | 0.0571 | 0.56 | 6100 | 0.0495 | 0.6787 | 0.7363 | 0.7063 | 0.9806 |
119
+ | 0.0469 | 0.57 | 6200 | 0.0471 | 0.7212 | 0.7423 | 0.7316 | 0.9788 |
120
+ | 0.0371 | 0.58 | 6300 | 0.0531 | 0.5764 | 0.6521 | 0.6119 | 0.9774 |
121
+ | 0.0469 | 0.59 | 6400 | 0.0485 | 0.7135 | 0.7483 | 0.7305 | 0.9789 |
122
+ | 0.0388 | 0.59 | 6500 | 0.0480 | 0.7370 | 0.7370 | 0.7370 | 0.9788 |
123
+ | 0.045 | 0.6 | 6600 | 0.0455 | 0.6893 | 0.7385 | 0.7131 | 0.9813 |
124
+ | 0.0456 | 0.61 | 6700 | 0.0530 | 0.6611 | 0.6829 | 0.6718 | 0.9744 |
125
+ | 0.0485 | 0.62 | 6800 | 0.0499 | 0.6855 | 0.7400 | 0.7117 | 0.9797 |
126
+ | 0.0383 | 0.63 | 6900 | 0.0467 | 0.7344 | 0.7603 | 0.7471 | 0.9814 |
127
+ | 0.0424 | 0.64 | 7000 | 0.0445 | 0.7104 | 0.7573 | 0.7331 | 0.9818 |
128
+ | 0.0391 | 0.65 | 7100 | 0.0430 | 0.7576 | 0.7844 | 0.7708 | 0.9823 |
129
+ | 0.0563 | 0.66 | 7200 | 0.0437 | 0.7536 | 0.7791 | 0.7662 | 0.9834 |
130
+ | 0.0509 | 0.67 | 7300 | 0.0442 | 0.7424 | 0.7663 | 0.7542 | 0.9815 |
131
+ | 0.0441 | 0.68 | 7400 | 0.0459 | 0.7101 | 0.7378 | 0.7237 | 0.9797 |
132
+ | 0.0387 | 0.69 | 7500 | 0.0436 | 0.7395 | 0.7528 | 0.7461 | 0.9808 |
133
+ | 0.0397 | 0.7 | 7600 | 0.0450 | 0.7437 | 0.7588 | 0.7512 | 0.9810 |
134
+ | 0.0387 | 0.7 | 7700 | 0.0421 | 0.7436 | 0.7693 | 0.7563 | 0.9817 |
135
+ | 0.0425 | 0.71 | 7800 | 0.0438 | 0.7321 | 0.7761 | 0.7535 | 0.9812 |
136
+ | 0.0361 | 0.72 | 7900 | 0.0463 | 0.7412 | 0.7769 | 0.7586 | 0.9805 |
137
+ | 0.0405 | 0.73 | 8000 | 0.0449 | 0.7603 | 0.7866 | 0.7733 | 0.9825 |
138
+ | 0.0418 | 0.74 | 8100 | 0.0419 | 0.7681 | 0.7986 | 0.7831 | 0.9836 |
139
+ | 0.0333 | 0.75 | 8200 | 0.0437 | 0.7302 | 0.7603 | 0.7449 | 0.9809 |
140
+ | 0.0376 | 0.76 | 8300 | 0.0419 | 0.7600 | 0.7874 | 0.7734 | 0.9830 |
141
+ | 0.0381 | 0.77 | 8400 | 0.0442 | 0.7455 | 0.7701 | 0.7576 | 0.9804 |
142
+ | 0.0355 | 0.78 | 8500 | 0.0434 | 0.7390 | 0.7829 | 0.7603 | 0.9825 |
143
+ | 0.0431 | 0.79 | 8600 | 0.0486 | 0.6938 | 0.7288 | 0.7109 | 0.9791 |
144
+ | 0.0399 | 0.8 | 8700 | 0.0502 | 0.7317 | 0.7724 | 0.7515 | 0.9798 |
145
+ | 0.0533 | 0.8 | 8800 | 0.0441 | 0.7194 | 0.7588 | 0.7386 | 0.9811 |
146
+ | 0.0336 | 0.81 | 8900 | 0.0433 | 0.6454 | 0.7288 | 0.6845 | 0.9803 |
147
+ | 0.0527 | 0.82 | 9000 | 0.0449 | 0.75 | 0.7754 | 0.7625 | 0.9823 |
148
+ | 0.0384 | 0.83 | 9100 | 0.0438 | 0.7124 | 0.7573 | 0.7342 | 0.9808 |
149
+ | 0.0362 | 0.84 | 9200 | 0.0442 | 0.7200 | 0.7536 | 0.7364 | 0.9818 |
150
+ | 0.0446 | 0.85 | 9300 | 0.0497 | 0.6768 | 0.7220 | 0.6987 | 0.9778 |
151
+ | 0.0394 | 0.86 | 9400 | 0.0436 | 0.7268 | 0.7536 | 0.7399 | 0.9805 |
152
+ | 0.0467 | 0.87 | 9500 | 0.0464 | 0.7246 | 0.7393 | 0.7319 | 0.9790 |
153
+ | 0.0513 | 0.88 | 9600 | 0.0431 | 0.7207 | 0.7656 | 0.7424 | 0.9816 |
154
+ | 0.0498 | 0.89 | 9700 | 0.0418 | 0.7184 | 0.7724 | 0.7444 | 0.9816 |
155
+ | 0.0323 | 0.9 | 9800 | 0.0445 | 0.7014 | 0.7483 | 0.7241 | 0.9807 |
156
+ | 0.0353 | 0.91 | 9900 | 0.0436 | 0.75 | 0.7799 | 0.7646 | 0.9824 |
157
+ | 0.0404 | 0.91 | 10000 | 0.0439 | 0.7415 | 0.7693 | 0.7552 | 0.9803 |
158
+ | 0.0404 | 0.92 | 10100 | 0.0438 | 0.7300 | 0.7596 | 0.7445 | 0.9811 |
159
+ | 0.0355 | 0.93 | 10200 | 0.0423 | 0.7420 | 0.7866 | 0.7637 | 0.9824 |
160
+ | 0.0423 | 0.94 | 10300 | 0.0443 | 0.7292 | 0.7686 | 0.7484 | 0.9804 |
161
+ | 0.0376 | 0.95 | 10400 | 0.0444 | 0.7468 | 0.7844 | 0.7651 | 0.9827 |
162
+ | 0.0351 | 0.96 | 10500 | 0.0395 | 0.7373 | 0.7761 | 0.7562 | 0.9827 |
163
+ | 0.0264 | 0.97 | 10600 | 0.0429 | 0.7487 | 0.7836 | 0.7658 | 0.9814 |
164
+ | 0.0368 | 0.98 | 10700 | 0.0420 | 0.6840 | 0.7415 | 0.7116 | 0.9811 |
165
+ | 0.0318 | 0.99 | 10800 | 0.0399 | 0.7599 | 0.7754 | 0.7676 | 0.9830 |
166
+ | 0.0501 | 1.0 | 10900 | 0.0389 | 0.7393 | 0.7776 | 0.7580 | 0.9823 |
167
+ | 0.0309 | 1.01 | 11000 | 0.0419 | 0.7307 | 0.7806 | 0.7548 | 0.9834 |
168
+ | 0.0402 | 1.02 | 11100 | 0.0378 | 0.7649 | 0.8092 | 0.7864 | 0.9845 |
169
+ | 0.0417 | 1.02 | 11200 | 0.0404 | 0.7570 | 0.7889 | 0.7726 | 0.9837 |
170
+ | 0.031 | 1.03 | 11300 | 0.0402 | 0.7428 | 0.7746 | 0.7584 | 0.9819 |
171
+ | 0.039 | 1.04 | 11400 | 0.0409 | 0.7460 | 0.7791 | 0.7622 | 0.9822 |
172
+ | 0.0245 | 1.05 | 11500 | 0.0425 | 0.744 | 0.7686 | 0.7561 | 0.9816 |
173
+ | 0.0341 | 1.06 | 11600 | 0.0392 | 0.7420 | 0.7821 | 0.7615 | 0.9830 |
174
+ | 0.0359 | 1.07 | 11700 | 0.0422 | 0.7211 | 0.7633 | 0.7416 | 0.9824 |
175
+ | 0.0292 | 1.08 | 11800 | 0.0417 | 0.7457 | 0.7844 | 0.7646 | 0.9829 |
176
+ | 0.0427 | 1.09 | 11900 | 0.0380 | 0.7687 | 0.7889 | 0.7786 | 0.9840 |
177
+ | 0.0465 | 1.1 | 12000 | 0.0393 | 0.7502 | 0.7739 | 0.7618 | 0.9819 |
178
+ | 0.0264 | 1.11 | 12100 | 0.0408 | 0.7417 | 0.7746 | 0.7578 | 0.9823 |
179
+ | 0.038 | 1.12 | 12200 | 0.0386 | 0.7737 | 0.7964 | 0.7849 | 0.9839 |
180
+ | 0.0383 | 1.13 | 12300 | 0.0439 | 0.7430 | 0.7754 | 0.7588 | 0.9823 |
181
+ | 0.0324 | 1.13 | 12400 | 0.0401 | 0.7491 | 0.7851 | 0.7667 | 0.9821 |
182
+ | 0.0374 | 1.14 | 12500 | 0.0387 | 0.7836 | 0.7889 | 0.7862 | 0.9834 |
183
+ | 0.0314 | 1.15 | 12600 | 0.0410 | 0.7641 | 0.7934 | 0.7785 | 0.9836 |
184
+ | 0.0343 | 1.16 | 12700 | 0.0430 | 0.7626 | 0.7866 | 0.7744 | 0.9823 |
185
+ | 0.0319 | 1.17 | 12800 | 0.0405 | 0.7450 | 0.7791 | 0.7617 | 0.9830 |
186
+ | 0.0367 | 1.18 | 12900 | 0.0447 | 0.7660 | 0.8017 | 0.7834 | 0.9831 |
187
+ | 0.0347 | 1.19 | 13000 | 0.0409 | 0.7786 | 0.7979 | 0.7881 | 0.9833 |
188
+ | 0.0293 | 1.2 | 13100 | 0.0408 | 0.7686 | 0.8084 | 0.7880 | 0.9839 |
189
+ | 0.0288 | 1.21 | 13200 | 0.0406 | 0.7656 | 0.8002 | 0.7825 | 0.9836 |
190
+ | 0.0409 | 1.22 | 13300 | 0.0424 | 0.7502 | 0.7896 | 0.7694 | 0.9826 |
191
+ | 0.0326 | 1.23 | 13400 | 0.0416 | 0.7952 | 0.8137 | 0.8043 | 0.9843 |
192
+ | 0.0381 | 1.23 | 13500 | 0.0406 | 0.7629 | 0.7761 | 0.7695 | 0.9826 |
193
+ | 0.0343 | 1.24 | 13600 | 0.1198 | 0.7383 | 0.7926 | 0.7645 | 0.9821 |
194
+ | 0.0238 | 1.25 | 13700 | 0.0379 | 0.7778 | 0.7889 | 0.7833 | 0.9835 |
195
+ | 0.0333 | 1.26 | 13800 | 0.0400 | 0.7655 | 0.8047 | 0.7846 | 0.9834 |
196
+ | 0.0423 | 1.27 | 13900 | 0.0425 | 0.7351 | 0.7671 | 0.7507 | 0.9803 |
197
+ | 0.0277 | 1.28 | 14000 | 0.0393 | 0.7766 | 0.8069 | 0.7915 | 0.9837 |
198
+ | 0.0363 | 1.29 | 14100 | 0.0416 | 0.7548 | 0.7724 | 0.7635 | 0.9821 |
199
+ | 0.0286 | 1.3 | 14200 | 0.0425 | 0.7653 | 0.7889 | 0.7769 | 0.9828 |
200
+ | 0.0373 | 1.31 | 14300 | 0.0384 | 0.7738 | 0.7994 | 0.7864 | 0.9844 |
201
+ | 0.0348 | 1.32 | 14400 | 0.0367 | 0.7691 | 0.8032 | 0.7857 | 0.9845 |
202
+ | 0.0394 | 1.33 | 14500 | 0.0362 | 0.7893 | 0.8107 | 0.7999 | 0.9844 |
203
+ | 0.0321 | 1.34 | 14600 | 0.0378 | 0.7908 | 0.8152 | 0.8028 | 0.9846 |
204
+ | 0.0347 | 1.34 | 14700 | 0.0393 | 0.7559 | 0.7979 | 0.7763 | 0.9834 |
205
+ | 0.0317 | 1.35 | 14800 | 0.0388 | 0.7667 | 0.8002 | 0.7831 | 0.9841 |
206
+ | 0.0293 | 1.36 | 14900 | 0.0356 | 0.7889 | 0.8144 | 0.8015 | 0.9852 |
207
+ | 0.0396 | 1.37 | 15000 | 0.0353 | 0.7907 | 0.8174 | 0.8038 | 0.9856 |
208
+ | 0.0342 | 1.38 | 15100 | 0.0390 | 0.7717 | 0.7896 | 0.7805 | 0.9822 |
209
+ | 0.0262 | 1.39 | 15200 | 0.0396 | 0.7325 | 0.7776 | 0.7544 | 0.9827 |
210
+ | 0.0343 | 1.4 | 15300 | 0.0373 | 0.7834 | 0.8069 | 0.7950 | 0.9842 |
211
+ | 0.036 | 1.41 | 15400 | 0.0366 | 0.7720 | 0.8039 | 0.7876 | 0.9852 |
212
+ | 0.0355 | 1.42 | 15500 | 0.0479 | 0.7231 | 0.7476 | 0.7351 | 0.9797 |
213
+ | 0.037 | 1.43 | 15600 | 0.0372 | 0.7961 | 0.8182 | 0.8070 | 0.9849 |
214
+ | 0.0354 | 1.44 | 15700 | 0.0366 | 0.7852 | 0.8129 | 0.7988 | 0.9837 |
215
+ | 0.0311 | 1.45 | 15800 | 0.0391 | 0.7764 | 0.8009 | 0.7885 | 0.9842 |
216
+ | 0.0375 | 1.45 | 15900 | 0.0378 | 0.7919 | 0.8122 | 0.8019 | 0.9845 |
217
+ | 0.031 | 1.46 | 16000 | 0.0378 | 0.7902 | 0.8152 | 0.8025 | 0.9848 |
218
+ | 0.0326 | 1.47 | 16100 | 0.0369 | 0.7969 | 0.8227 | 0.8096 | 0.9846 |
219
+ | 0.0258 | 1.48 | 16200 | 0.0392 | 0.7900 | 0.8167 | 0.8031 | 0.9844 |
220
+ | 0.0238 | 1.49 | 16300 | 0.0430 | 0.7870 | 0.8077 | 0.7972 | 0.9834 |
221
+ | 0.0302 | 1.5 | 16400 | 0.0369 | 0.7980 | 0.8310 | 0.8141 | 0.9854 |
222
+ | 0.0319 | 1.51 | 16500 | 0.0379 | 0.8054 | 0.8242 | 0.8147 | 0.9853 |
223
+ | 0.0275 | 1.52 | 16600 | 0.0369 | 0.7942 | 0.8295 | 0.8115 | 0.9852 |
224
+ | 0.0426 | 1.53 | 16700 | 0.0359 | 0.7865 | 0.8167 | 0.8013 | 0.9848 |
225
+ | 0.0184 | 1.54 | 16800 | 0.0379 | 0.7906 | 0.8227 | 0.8063 | 0.9856 |
226
+ | 0.0334 | 1.55 | 16900 | 0.0369 | 0.8130 | 0.8362 | 0.8244 | 0.9857 |
227
+ | 0.0361 | 1.56 | 17000 | 0.0356 | 0.7847 | 0.8189 | 0.8015 | 0.9851 |
228
+ | 0.0319 | 1.56 | 17100 | 0.0359 | 0.7923 | 0.8197 | 0.8058 | 0.9852 |
229
+ | 0.0336 | 1.57 | 17200 | 0.0383 | 0.7726 | 0.8092 | 0.7905 | 0.9843 |
230
+ | 0.03 | 1.58 | 17300 | 0.0384 | 0.7968 | 0.8219 | 0.8092 | 0.9855 |
231
+ | 0.0399 | 1.59 | 17400 | 0.0367 | 0.8074 | 0.8317 | 0.8194 | 0.9860 |
232
+ | 0.0405 | 1.6 | 17500 | 0.0359 | 0.8093 | 0.8227 | 0.8159 | 0.9850 |
233
+ | 0.0262 | 1.61 | 17600 | 0.0388 | 0.7809 | 0.8219 | 0.8009 | 0.9848 |
234
+ | 0.0291 | 1.62 | 17700 | 0.0406 | 0.8071 | 0.8234 | 0.8152 | 0.9850 |
235
+ | 0.0201 | 1.63 | 17800 | 0.0351 | 0.8078 | 0.8272 | 0.8174 | 0.9860 |
236
+ | 0.0269 | 1.64 | 17900 | 0.0386 | 0.7833 | 0.8174 | 0.8000 | 0.9851 |
237
+ | 0.0386 | 1.65 | 18000 | 0.0381 | 0.8141 | 0.8325 | 0.8232 | 0.9860 |
238
+ | 0.0316 | 1.66 | 18100 | 0.0360 | 0.7996 | 0.8242 | 0.8117 | 0.9850 |
239
+ | 0.026 | 1.66 | 18200 | 0.0346 | 0.8004 | 0.8347 | 0.8172 | 0.9864 |
240
+ | 0.0356 | 1.67 | 18300 | 0.0336 | 0.8032 | 0.8279 | 0.8154 | 0.9865 |
241
+ | 0.0424 | 1.68 | 18400 | 0.0346 | 0.7896 | 0.8122 | 0.8007 | 0.9849 |
242
+ | 0.035 | 1.69 | 18500 | 0.0335 | 0.8084 | 0.8400 | 0.8239 | 0.9863 |
243
+ | 0.033 | 1.7 | 18600 | 0.0352 | 0.8069 | 0.8257 | 0.8162 | 0.9858 |
244
+ | 0.0287 | 1.71 | 18700 | 0.0353 | 0.8025 | 0.8242 | 0.8132 | 0.9852 |
245
+ | 0.0341 | 1.72 | 18800 | 0.0347 | 0.7950 | 0.8189 | 0.8068 | 0.9863 |
246
+ | 0.0285 | 1.73 | 18900 | 0.0362 | 0.7945 | 0.8219 | 0.8080 | 0.9850 |
247
+ | 0.0307 | 1.74 | 19000 | 0.0340 | 0.8076 | 0.8422 | 0.8246 | 0.9862 |
248
+ | 0.0227 | 1.75 | 19100 | 0.0363 | 0.8084 | 0.8370 | 0.8224 | 0.9855 |
249
+ | 0.0377 | 1.76 | 19200 | 0.0351 | 0.7922 | 0.8249 | 0.8082 | 0.9849 |
250
+ | 0.0309 | 1.77 | 19300 | 0.0325 | 0.808 | 0.8347 | 0.8211 | 0.9869 |
251
+ | 0.0378 | 1.77 | 19400 | 0.0332 | 0.8066 | 0.8272 | 0.8168 | 0.9862 |
252
+ | 0.0353 | 1.78 | 19500 | 0.0335 | 0.8105 | 0.8355 | 0.8228 | 0.9861 |
253
+ | 0.0338 | 1.79 | 19600 | 0.0324 | 0.8026 | 0.8310 | 0.8165 | 0.9864 |
254
+ | 0.0304 | 1.8 | 19700 | 0.0343 | 0.8015 | 0.8189 | 0.8101 | 0.9852 |
255
+ | 0.0359 | 1.81 | 19800 | 0.0351 | 0.8029 | 0.8234 | 0.8131 | 0.9860 |
256
+ | 0.0314 | 1.82 | 19900 | 0.0343 | 0.8045 | 0.8317 | 0.8179 | 0.9857 |
257
+ | 0.0275 | 1.83 | 20000 | 0.0330 | 0.8055 | 0.8340 | 0.8195 | 0.9866 |
258
+ | 0.0352 | 1.84 | 20100 | 0.0338 | 0.8150 | 0.8340 | 0.8244 | 0.9862 |
259
+ | 0.0367 | 1.85 | 20200 | 0.0355 | 0.8050 | 0.8279 | 0.8163 | 0.9852 |
260
+ | 0.035 | 1.86 | 20300 | 0.0313 | 0.8224 | 0.8385 | 0.8304 | 0.9876 |
261
+ | 0.0327 | 1.87 | 20400 | 0.0329 | 0.8272 | 0.8415 | 0.8343 | 0.9871 |
262
+ | 0.0339 | 1.88 | 20500 | 0.0326 | 0.8142 | 0.8362 | 0.8251 | 0.9871 |
263
+ | 0.0327 | 1.88 | 20600 | 0.0322 | 0.8242 | 0.8385 | 0.8313 | 0.9872 |
264
+ | 0.0288 | 1.89 | 20700 | 0.0321 | 0.8267 | 0.8460 | 0.8362 | 0.9871 |
265
+ | 0.0423 | 1.9 | 20800 | 0.0313 | 0.8112 | 0.8392 | 0.8250 | 0.9869 |
266
+ | 0.0311 | 1.91 | 20900 | 0.0314 | 0.8245 | 0.8542 | 0.8391 | 0.9870 |
267
+ | 0.025 | 1.92 | 21000 | 0.0325 | 0.8218 | 0.8422 | 0.8319 | 0.9864 |
268
+ | 0.0261 | 1.93 | 21100 | 0.0330 | 0.8200 | 0.8452 | 0.8324 | 0.9864 |
269
+ | 0.0382 | 1.94 | 21200 | 0.0334 | 0.8148 | 0.8332 | 0.8239 | 0.9860 |
270
+ | 0.0341 | 1.95 | 21300 | 0.0340 | 0.7906 | 0.8227 | 0.8063 | 0.9857 |
271
+ | 0.0291 | 1.96 | 21400 | 0.0340 | 0.8173 | 0.8370 | 0.8270 | 0.9864 |
272
+ | 0.0387 | 1.97 | 21500 | 0.0336 | 0.8082 | 0.8295 | 0.8187 | 0.9863 |
273
+ | 0.032 | 1.98 | 21600 | 0.0338 | 0.8165 | 0.8325 | 0.8244 | 0.9866 |
274
+ | 0.0351 | 1.98 | 21700 | 0.0345 | 0.8073 | 0.8340 | 0.8204 | 0.9866 |
275
+ | 0.033 | 1.99 | 21800 | 0.0317 | 0.8047 | 0.8295 | 0.8169 | 0.9866 |
276
+ | 0.024 | 2.0 | 21900 | 0.0317 | 0.8244 | 0.8467 | 0.8354 | 0.9871 |
277
+ | 0.0291 | 2.01 | 22000 | 0.0311 | 0.8309 | 0.8490 | 0.8398 | 0.9867 |
278
+ | 0.025 | 2.02 | 22100 | 0.0326 | 0.8363 | 0.8482 | 0.8422 | 0.9870 |
279
+ | 0.0238 | 2.03 | 22200 | 0.0325 | 0.7980 | 0.8310 | 0.8141 | 0.9867 |
280
+ | 0.022 | 2.04 | 22300 | 0.0328 | 0.8087 | 0.8385 | 0.8233 | 0.9865 |
281
+ | 0.0202 | 2.05 | 22400 | 0.0314 | 0.8007 | 0.8302 | 0.8152 | 0.9860 |
282
+ | 0.0226 | 2.06 | 22500 | 0.0316 | 0.8246 | 0.8407 | 0.8326 | 0.9867 |
283
+ | 0.0326 | 2.07 | 22600 | 0.0359 | 0.8042 | 0.8302 | 0.8170 | 0.9860 |
284
+ | 0.0324 | 2.08 | 22700 | 0.0330 | 0.8135 | 0.8355 | 0.8243 | 0.9864 |
285
+ | 0.0283 | 2.09 | 22800 | 0.0329 | 0.8269 | 0.8467 | 0.8367 | 0.9868 |
286
+ | 0.0206 | 2.09 | 22900 | 0.0330 | 0.8338 | 0.8482 | 0.8410 | 0.9870 |
287
+ | 0.0272 | 2.1 | 23000 | 0.0338 | 0.8202 | 0.8400 | 0.8300 | 0.9864 |
288
+ | 0.0212 | 2.11 | 23100 | 0.0331 | 0.8206 | 0.8385 | 0.8294 | 0.9866 |
289
+ | 0.0238 | 2.12 | 23200 | 0.0339 | 0.8326 | 0.8520 | 0.8422 | 0.9879 |
290
+ | 0.025 | 2.13 | 23300 | 0.0328 | 0.8205 | 0.8415 | 0.8309 | 0.9871 |
291
+ | 0.0268 | 2.14 | 23400 | 0.0358 | 0.8164 | 0.8287 | 0.8225 | 0.9864 |
292
+ | 0.03 | 2.15 | 23500 | 0.0343 | 0.8233 | 0.8332 | 0.8282 | 0.9862 |
293
+ | 0.0273 | 2.16 | 23600 | 0.0339 | 0.8142 | 0.8362 | 0.8251 | 0.9861 |
294
+ | 0.0209 | 2.17 | 23700 | 0.0359 | 0.8204 | 0.8340 | 0.8271 | 0.9864 |
295
+ | 0.0262 | 2.18 | 23800 | 0.0359 | 0.8170 | 0.8385 | 0.8276 | 0.9866 |
296
+ | 0.0223 | 2.19 | 23900 | 0.0347 | 0.8315 | 0.8490 | 0.8401 | 0.9870 |
297
+ | 0.019 | 2.2 | 24000 | 0.0352 | 0.8203 | 0.8302 | 0.8252 | 0.9863 |
298
+ | 0.0308 | 2.2 | 24100 | 0.0321 | 0.8303 | 0.8452 | 0.8377 | 0.9871 |
299
+ | 0.0244 | 2.21 | 24200 | 0.0323 | 0.8103 | 0.8249 | 0.8176 | 0.9868 |
300
+ | 0.0255 | 2.22 | 24300 | 0.0337 | 0.8315 | 0.8452 | 0.8383 | 0.9869 |
301
+ | 0.0304 | 2.23 | 24400 | 0.0328 | 0.8138 | 0.8407 | 0.8271 | 0.9863 |
302
+ | 0.0328 | 2.24 | 24500 | 0.0350 | 0.8107 | 0.8332 | 0.8218 | 0.9861 |
303
+ | 0.0235 | 2.25 | 24600 | 0.0313 | 0.8380 | 0.8512 | 0.8446 | 0.9873 |
304
+ | 0.0203 | 2.26 | 24700 | 0.0349 | 0.8159 | 0.8422 | 0.8288 | 0.9864 |
305
+ | 0.0243 | 2.27 | 24800 | 0.0337 | 0.8216 | 0.8340 | 0.8277 | 0.9862 |
306
+ | 0.0222 | 2.28 | 24900 | 0.0328 | 0.8144 | 0.8437 | 0.8288 | 0.9866 |
307
+ | 0.0279 | 2.29 | 25000 | 0.0345 | 0.7971 | 0.8204 | 0.8086 | 0.9855 |
308
+ | 0.0225 | 2.3 | 25100 | 0.0341 | 0.8168 | 0.8377 | 0.8272 | 0.9864 |
309
+ | 0.0228 | 2.31 | 25200 | 0.0339 | 0.8080 | 0.8317 | 0.8197 | 0.9860 |
310
+ | 0.0279 | 2.31 | 25300 | 0.0333 | 0.8202 | 0.8430 | 0.8314 | 0.9867 |
311
+ | 0.0146 | 2.32 | 25400 | 0.0378 | 0.8123 | 0.8355 | 0.8237 | 0.9851 |
312
+ | 0.0215 | 2.33 | 25500 | 0.0350 | 0.8197 | 0.8437 | 0.8315 | 0.9858 |
313
+ | 0.0237 | 2.34 | 25600 | 0.0326 | 0.8312 | 0.8475 | 0.8393 | 0.9876 |
314
+ | 0.0291 | 2.35 | 25700 | 0.0327 | 0.8214 | 0.8430 | 0.8320 | 0.9870 |
315
+ | 0.026 | 2.36 | 25800 | 0.0344 | 0.8200 | 0.8422 | 0.8310 | 0.9867 |
316
+ | 0.0261 | 2.37 | 25900 | 0.0343 | 0.8165 | 0.8392 | 0.8277 | 0.9864 |
317
+ | 0.0268 | 2.38 | 26000 | 0.0356 | 0.8162 | 0.8310 | 0.8235 | 0.9863 |
318
+ | 0.0262 | 2.39 | 26100 | 0.0352 | 0.8263 | 0.8400 | 0.8331 | 0.9861 |
319
+ | 0.0202 | 2.4 | 26200 | 0.0347 | 0.8228 | 0.8475 | 0.8349 | 0.9867 |
320
+ | 0.0307 | 2.41 | 26300 | 0.0332 | 0.8288 | 0.8437 | 0.8362 | 0.9867 |
321
+ | 0.0253 | 2.41 | 26400 | 0.0325 | 0.8322 | 0.8497 | 0.8409 | 0.9875 |
322
+ | 0.0318 | 2.42 | 26500 | 0.0324 | 0.8236 | 0.8385 | 0.8310 | 0.9866 |
323
+ | 0.0216 | 2.43 | 26600 | 0.0326 | 0.8369 | 0.8482 | 0.8425 | 0.9872 |
324
+ | 0.0241 | 2.44 | 26700 | 0.0326 | 0.8292 | 0.8460 | 0.8375 | 0.9865 |
325
+ | 0.0226 | 2.45 | 26800 | 0.0321 | 0.8341 | 0.8535 | 0.8437 | 0.9879 |
326
+ | 0.0229 | 2.46 | 26900 | 0.0352 | 0.8136 | 0.8295 | 0.8214 | 0.9860 |
327
+ | 0.029 | 2.47 | 27000 | 0.0323 | 0.8395 | 0.8527 | 0.8461 | 0.9875 |
328
+ | 0.0197 | 2.48 | 27100 | 0.0341 | 0.8216 | 0.8407 | 0.8310 | 0.9864 |
329
+ | 0.0175 | 2.49 | 27200 | 0.0349 | 0.8237 | 0.8392 | 0.8314 | 0.9865 |
330
+ | 0.0193 | 2.5 | 27300 | 0.0325 | 0.8322 | 0.8460 | 0.8390 | 0.9872 |
331
+ | 0.0292 | 2.51 | 27400 | 0.0325 | 0.8255 | 0.8422 | 0.8338 | 0.9867 |
332
+ | 0.0217 | 2.52 | 27500 | 0.0344 | 0.8328 | 0.8460 | 0.8394 | 0.9872 |
333
+ | 0.0249 | 2.52 | 27600 | 0.0328 | 0.8269 | 0.8467 | 0.8367 | 0.9876 |
334
+ | 0.0277 | 2.53 | 27700 | 0.0307 | 0.8416 | 0.8542 | 0.8479 | 0.9876 |
335
+ | 0.0285 | 2.54 | 27800 | 0.0311 | 0.8201 | 0.8460 | 0.8328 | 0.9871 |
336
+ | 0.0238 | 2.55 | 27900 | 0.0306 | 0.8305 | 0.8467 | 0.8385 | 0.9870 |
337
+ | 0.0261 | 2.56 | 28000 | 0.0326 | 0.8300 | 0.8475 | 0.8387 | 0.9873 |
338
+ | 0.0258 | 2.57 | 28100 | 0.0319 | 0.8323 | 0.8467 | 0.8395 | 0.9872 |
339
+ | 0.0208 | 2.58 | 28200 | 0.0322 | 0.8259 | 0.8482 | 0.8369 | 0.9875 |
340
+ | 0.0191 | 2.59 | 28300 | 0.0337 | 0.8230 | 0.8385 | 0.8307 | 0.9867 |
341
+ | 0.0254 | 2.6 | 28400 | 0.0308 | 0.8385 | 0.8505 | 0.8445 | 0.9878 |
342
+ | 0.0283 | 2.61 | 28500 | 0.0313 | 0.8273 | 0.8422 | 0.8347 | 0.9876 |
343
+ | 0.032 | 2.62 | 28600 | 0.0311 | 0.8293 | 0.8430 | 0.8361 | 0.9879 |
344
+ | 0.0175 | 2.63 | 28700 | 0.0326 | 0.8363 | 0.8557 | 0.8459 | 0.9877 |
345
+ | 0.0298 | 2.63 | 28800 | 0.0315 | 0.8396 | 0.8535 | 0.8465 | 0.9882 |
346
+ | 0.0156 | 2.64 | 28900 | 0.0305 | 0.8337 | 0.8512 | 0.8424 | 0.9880 |
347
+ | 0.0185 | 2.65 | 29000 | 0.0327 | 0.8320 | 0.8445 | 0.8382 | 0.9873 |
348
+ | 0.0259 | 2.66 | 29100 | 0.0313 | 0.8198 | 0.8407 | 0.8301 | 0.9872 |
349
+ | 0.019 | 2.67 | 29200 | 0.0306 | 0.8336 | 0.8430 | 0.8383 | 0.9875 |
350
+ | 0.0301 | 2.68 | 29300 | 0.0315 | 0.8211 | 0.8377 | 0.8293 | 0.9872 |
351
+ | 0.0294 | 2.69 | 29400 | 0.0308 | 0.8277 | 0.8407 | 0.8341 | 0.9875 |
352
+ | 0.0261 | 2.7 | 29500 | 0.0320 | 0.8234 | 0.8445 | 0.8338 | 0.9873 |
353
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366
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367
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368
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369
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370
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373
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384
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385
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386
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387
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388
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389
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390
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391
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392
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395
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396
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397
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398
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399
+ | 0.0238 | 3.13 | 34200 | 0.0335 | 0.8438 | 0.8603 | 0.8519 | 0.9879 |
400
+ | 0.0144 | 3.14 | 34300 | 0.0323 | 0.8416 | 0.8580 | 0.8497 | 0.9880 |
401
+ | 0.013 | 3.15 | 34400 | 0.0326 | 0.8421 | 0.8573 | 0.8496 | 0.9884 |
402
+ | 0.0114 | 3.16 | 34500 | 0.0335 | 0.8399 | 0.8512 | 0.8455 | 0.9873 |
403
+ | 0.0156 | 3.17 | 34600 | 0.0318 | 0.8455 | 0.8550 | 0.8502 | 0.9880 |
404
+ | 0.0139 | 3.17 | 34700 | 0.0338 | 0.8341 | 0.8497 | 0.8418 | 0.9875 |
405
+ | 0.0165 | 3.18 | 34800 | 0.0326 | 0.8516 | 0.8625 | 0.8570 | 0.9885 |
406
+ | 0.0136 | 3.19 | 34900 | 0.0311 | 0.8468 | 0.8557 | 0.8513 | 0.9885 |
407
+ | 0.0158 | 3.2 | 35000 | 0.0323 | 0.8420 | 0.8527 | 0.8473 | 0.9876 |
408
+ | 0.0141 | 3.21 | 35100 | 0.0340 | 0.8360 | 0.8505 | 0.8432 | 0.9872 |
409
+ | 0.0112 | 3.22 | 35200 | 0.0333 | 0.8363 | 0.8520 | 0.8441 | 0.9872 |
410
+ | 0.007 | 3.23 | 35300 | 0.0337 | 0.8296 | 0.8452 | 0.8374 | 0.9868 |
411
+ | 0.0204 | 3.24 | 35400 | 0.0333 | 0.8278 | 0.8415 | 0.8346 | 0.9861 |
412
+ | 0.0097 | 3.25 | 35500 | 0.0348 | 0.8236 | 0.8385 | 0.8310 | 0.9861 |
413
+ | 0.0159 | 3.26 | 35600 | 0.0346 | 0.8271 | 0.8407 | 0.8338 | 0.9862 |
414
+ | 0.0134 | 3.27 | 35700 | 0.0348 | 0.8246 | 0.8407 | 0.8326 | 0.9862 |
415
+ | 0.0112 | 3.27 | 35800 | 0.0341 | 0.8362 | 0.8437 | 0.8399 | 0.9863 |
416
+ | 0.0238 | 3.28 | 35900 | 0.0333 | 0.8361 | 0.8430 | 0.8395 | 0.9867 |
417
+ | 0.014 | 3.29 | 36000 | 0.0371 | 0.8248 | 0.8347 | 0.8297 | 0.9858 |
418
+ | 0.021 | 3.3 | 36100 | 0.0341 | 0.8351 | 0.8445 | 0.8397 | 0.9870 |
419
+ | 0.0129 | 3.31 | 36200 | 0.0367 | 0.8377 | 0.8452 | 0.8414 | 0.9865 |
420
+ | 0.0228 | 3.32 | 36300 | 0.0349 | 0.8388 | 0.8482 | 0.8435 | 0.9873 |
421
+ | 0.0142 | 3.33 | 36400 | 0.0352 | 0.8295 | 0.8407 | 0.8351 | 0.9863 |
422
+ | 0.019 | 3.34 | 36500 | 0.0332 | 0.8423 | 0.8505 | 0.8464 | 0.9871 |
423
+ | 0.0199 | 3.35 | 36600 | 0.0338 | 0.8404 | 0.8467 | 0.8436 | 0.9873 |
424
+ | 0.0125 | 3.36 | 36700 | 0.0335 | 0.8407 | 0.8527 | 0.8467 | 0.9878 |
425
+ | 0.0169 | 3.37 | 36800 | 0.0344 | 0.8448 | 0.8505 | 0.8476 | 0.9872 |
426
+ | 0.0114 | 3.38 | 36900 | 0.0354 | 0.8437 | 0.8557 | 0.8497 | 0.9875 |
427
+ | 0.0149 | 3.38 | 37000 | 0.0350 | 0.8296 | 0.8415 | 0.8355 | 0.9863 |
428
+ | 0.013 | 3.39 | 37100 | 0.0334 | 0.8411 | 0.8550 | 0.8480 | 0.9873 |
429
+ | 0.0149 | 3.4 | 37200 | 0.0359 | 0.8380 | 0.8475 | 0.8427 | 0.9861 |
430
+ | 0.0103 | 3.41 | 37300 | 0.0335 | 0.8415 | 0.8497 | 0.8456 | 0.9868 |
431
+ | 0.016 | 3.42 | 37400 | 0.0333 | 0.8369 | 0.8520 | 0.8444 | 0.9876 |
432
+ | 0.0221 | 3.43 | 37500 | 0.0333 | 0.8251 | 0.8400 | 0.8325 | 0.9867 |
433
+ | 0.0191 | 3.44 | 37600 | 0.0328 | 0.8363 | 0.8482 | 0.8422 | 0.9871 |
434
+ | 0.0132 | 3.45 | 37700 | 0.0327 | 0.8384 | 0.8497 | 0.8440 | 0.9869 |
435
+ | 0.0154 | 3.46 | 37800 | 0.0335 | 0.8401 | 0.8490 | 0.8445 | 0.9869 |
436
+ | 0.0166 | 3.47 | 37900 | 0.0359 | 0.8382 | 0.8445 | 0.8413 | 0.9866 |
437
+ | 0.0149 | 3.48 | 38000 | 0.0336 | 0.8393 | 0.8595 | 0.8493 | 0.9875 |
438
+ | 0.014 | 3.49 | 38100 | 0.0330 | 0.8484 | 0.8580 | 0.8532 | 0.9879 |
439
+ | 0.0176 | 3.49 | 38200 | 0.0344 | 0.8441 | 0.8542 | 0.8491 | 0.9875 |
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441
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473
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+ | 0.0155 | 3.83 | 41900 | 0.0344 | 0.8506 | 0.8640 | 0.8572 | 0.9881 |
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+ | 0.0165 | 3.92 | 42800 | 0.0328 | 0.8530 | 0.8633 | 0.8581 | 0.9887 |
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+ | 0.0139 | 3.94 | 43100 | 0.0329 | 0.8438 | 0.8603 | 0.8519 | 0.9884 |
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496
 
497
  ### Framework versions
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