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README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
20
  It achieves the following results on the evaluation set:
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- - Loss: 1.5708
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- - Accuracy: 0.5472
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24
  ## Model description
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@@ -44,99 +44,360 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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- - num_epochs: 8
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  - mixed_precision_training: Native AMP
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50
  ### Training results
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52
- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
53
- |:-------------:|:------:|:----:|:---------------:|:--------:|
54
- | No log | 0.0921 | 50 | 2.7042 | 0.2852 |
55
- | No log | 0.1842 | 100 | 2.3795 | 0.3869 |
56
- | No log | 0.2762 | 150 | 2.1335 | 0.4270 |
57
- | No log | 0.3683 | 200 | 1.9727 | 0.4797 |
58
- | No log | 0.4604 | 250 | 1.8782 | 0.4930 |
59
- | No log | 0.5525 | 300 | 1.7995 | 0.5084 |
60
- | No log | 0.6446 | 350 | 1.7474 | 0.5141 |
61
- | No log | 0.7366 | 400 | 1.6828 | 0.5299 |
62
- | No log | 0.8287 | 450 | 1.6576 | 0.5294 |
63
- | 2.0439 | 0.9208 | 500 | 1.6171 | 0.5386 |
64
- | 2.0439 | 1.0129 | 550 | 1.5935 | 0.5400 |
65
- | 2.0439 | 1.1050 | 600 | 1.5734 | 0.5457 |
66
- | 2.0439 | 1.1971 | 650 | 1.5577 | 0.5462 |
67
- | 2.0439 | 1.2891 | 700 | 1.5455 | 0.5501 |
68
- | 2.0439 | 1.3812 | 750 | 1.5363 | 0.5530 |
69
- | 2.0439 | 1.4733 | 800 | 1.5354 | 0.5492 |
70
- | 2.0439 | 1.5654 | 850 | 1.5158 | 0.5598 |
71
- | 2.0439 | 1.6575 | 900 | 1.5058 | 0.5557 |
72
- | 2.0439 | 1.7495 | 950 | 1.5042 | 0.5602 |
73
- | 1.4796 | 1.8416 | 1000 | 1.4805 | 0.5586 |
74
- | 1.4796 | 1.9337 | 1050 | 1.4797 | 0.5578 |
75
- | 1.4796 | 2.0258 | 1100 | 1.4653 | 0.5677 |
76
- | 1.4796 | 2.1179 | 1150 | 1.4759 | 0.5568 |
77
- | 1.4796 | 2.2099 | 1200 | 1.4795 | 0.5608 |
78
- | 1.4796 | 2.3020 | 1250 | 1.4701 | 0.5637 |
79
- | 1.4796 | 2.3941 | 1300 | 1.4747 | 0.5583 |
80
- | 1.4796 | 2.4862 | 1350 | 1.4676 | 0.5616 |
81
- | 1.4796 | 2.5783 | 1400 | 1.4581 | 0.5668 |
82
- | 1.4796 | 2.6703 | 1450 | 1.4690 | 0.5617 |
83
- | 1.3018 | 2.7624 | 1500 | 1.4636 | 0.5545 |
84
- | 1.3018 | 2.8545 | 1550 | 1.4609 | 0.5629 |
85
- | 1.3018 | 2.9466 | 1600 | 1.4603 | 0.5689 |
86
- | 1.3018 | 3.0387 | 1650 | 1.4517 | 0.5606 |
87
- | 1.3018 | 3.1308 | 1700 | 1.4566 | 0.5635 |
88
- | 1.3018 | 3.2228 | 1750 | 1.4682 | 0.5613 |
89
- | 1.3018 | 3.3149 | 1800 | 1.4630 | 0.5600 |
90
- | 1.3018 | 3.4070 | 1850 | 1.4815 | 0.5538 |
91
- | 1.3018 | 3.4991 | 1900 | 1.4760 | 0.5517 |
92
- | 1.3018 | 3.5912 | 1950 | 1.4788 | 0.5534 |
93
- | 1.1832 | 3.6832 | 2000 | 1.4667 | 0.5547 |
94
- | 1.1832 | 3.7753 | 2050 | 1.4630 | 0.5597 |
95
- | 1.1832 | 3.8674 | 2100 | 1.4639 | 0.5548 |
96
- | 1.1832 | 3.9595 | 2150 | 1.4816 | 0.5457 |
97
- | 1.1832 | 4.0516 | 2200 | 1.4760 | 0.5577 |
98
- | 1.1832 | 4.1436 | 2250 | 1.4878 | 0.5586 |
99
- | 1.1832 | 4.2357 | 2300 | 1.4848 | 0.5575 |
100
- | 1.1832 | 4.3278 | 2350 | 1.4825 | 0.5578 |
101
- | 1.1832 | 4.4199 | 2400 | 1.4881 | 0.5572 |
102
- | 1.1832 | 4.5120 | 2450 | 1.4937 | 0.5584 |
103
- | 1.0845 | 4.6041 | 2500 | 1.4925 | 0.5555 |
104
- | 1.0845 | 4.6961 | 2550 | 1.4922 | 0.5534 |
105
- | 1.0845 | 4.7882 | 2600 | 1.4882 | 0.5572 |
106
- | 1.0845 | 4.8803 | 2650 | 1.4927 | 0.5555 |
107
- | 1.0845 | 4.9724 | 2700 | 1.4975 | 0.5556 |
108
- | 1.0845 | 5.0645 | 2750 | 1.5009 | 0.5568 |
109
- | 1.0845 | 5.1565 | 2800 | 1.5140 | 0.5516 |
110
- | 1.0845 | 5.2486 | 2850 | 1.5165 | 0.5517 |
111
- | 1.0845 | 5.3407 | 2900 | 1.5266 | 0.5469 |
112
- | 1.0845 | 5.4328 | 2950 | 1.5257 | 0.5503 |
113
- | 0.9997 | 5.5249 | 3000 | 1.5204 | 0.5485 |
114
- | 0.9997 | 5.6169 | 3050 | 1.5264 | 0.5449 |
115
- | 0.9997 | 5.7090 | 3100 | 1.5268 | 0.5456 |
116
- | 0.9997 | 5.8011 | 3150 | 1.5239 | 0.5545 |
117
- | 0.9997 | 5.8932 | 3200 | 1.5351 | 0.5575 |
118
- | 0.9997 | 5.9853 | 3250 | 1.5354 | 0.5548 |
119
- | 0.9997 | 6.0773 | 3300 | 1.5342 | 0.5475 |
120
- | 0.9997 | 6.1694 | 3350 | 1.5452 | 0.5469 |
121
- | 0.9997 | 6.2615 | 3400 | 1.5440 | 0.5504 |
122
- | 0.9997 | 6.3536 | 3450 | 1.5485 | 0.5499 |
123
- | 0.9138 | 6.4457 | 3500 | 1.5504 | 0.5494 |
124
- | 0.9138 | 6.5378 | 3550 | 1.5522 | 0.5511 |
125
- | 0.9138 | 6.6298 | 3600 | 1.5518 | 0.5468 |
126
- | 0.9138 | 6.7219 | 3650 | 1.5490 | 0.5473 |
127
- | 0.9138 | 6.8140 | 3700 | 1.5536 | 0.5532 |
128
- | 0.9138 | 6.9061 | 3750 | 1.5528 | 0.5502 |
129
- | 0.9138 | 6.9982 | 3800 | 1.5557 | 0.5471 |
130
- | 0.9138 | 7.0902 | 3850 | 1.5583 | 0.5466 |
131
- | 0.9138 | 7.1823 | 3900 | 1.5612 | 0.5486 |
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- | 0.9138 | 7.2744 | 3950 | 1.5654 | 0.5471 |
133
- | 0.8831 | 7.3665 | 4000 | 1.5674 | 0.5472 |
134
- | 0.8831 | 7.4586 | 4050 | 1.5698 | 0.5492 |
135
- | 0.8831 | 7.5506 | 4100 | 1.5703 | 0.5484 |
136
- | 0.8831 | 7.6427 | 4150 | 1.5736 | 0.5465 |
137
- | 0.8831 | 7.7348 | 4200 | 1.5733 | 0.5455 |
138
- | 0.8831 | 7.8269 | 4250 | 1.5718 | 0.5471 |
139
- | 0.8831 | 7.9190 | 4300 | 1.5708 | 0.5472 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
18
 
19
  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
20
  It achieves the following results on the evaluation set:
21
+ - Loss: 3.6175
22
+ - Accuracy: 0.5190
23
 
24
  ## Model description
25
 
 
44
  - seed: 42
45
  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
46
  - lr_scheduler_type: linear
47
+ - num_epochs: 32
48
  - mixed_precision_training: Native AMP
49
 
50
  ### Training results
51
 
52
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
53
+ |:-------------:|:-------:|:-----:|:---------------:|:--------:|
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+ | No log | 0.0921 | 50 | 2.6496 | 0.3000 |
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+ | No log | 0.1842 | 100 | 2.2870 | 0.4014 |
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+ | No log | 0.2762 | 150 | 2.0499 | 0.4576 |
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+ | No log | 0.3683 | 200 | 1.9011 | 0.4876 |
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+ | No log | 0.4604 | 250 | 1.8260 | 0.4985 |
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+ | No log | 0.5525 | 300 | 1.7397 | 0.5210 |
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+ | No log | 0.6446 | 350 | 1.6916 | 0.5250 |
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+ | No log | 0.7366 | 400 | 1.6654 | 0.5346 |
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+ | No log | 0.8287 | 450 | 1.6198 | 0.5408 |
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+ | 2.0074 | 0.9208 | 500 | 1.5843 | 0.5448 |
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+ | 2.0074 | 1.0129 | 550 | 1.5713 | 0.5538 |
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+ | 2.0074 | 1.1050 | 600 | 1.5559 | 0.5552 |
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+ | 2.0074 | 1.1971 | 650 | 1.5373 | 0.5549 |
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+ | 2.0074 | 1.2891 | 700 | 1.5191 | 0.5597 |
68
+ | 2.0074 | 1.3812 | 750 | 1.5112 | 0.5622 |
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+ | 2.0074 | 1.4733 | 800 | 1.4986 | 0.5581 |
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+ | 2.0074 | 1.5654 | 850 | 1.4759 | 0.5640 |
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+ | 2.0074 | 1.6575 | 900 | 1.4859 | 0.5587 |
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+ | 2.0074 | 1.7495 | 950 | 1.4962 | 0.5538 |
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+ | 1.476 | 1.8416 | 1000 | 1.4550 | 0.5647 |
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+ | 1.476 | 1.9337 | 1050 | 1.4445 | 0.5684 |
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+ | 1.476 | 2.0258 | 1100 | 1.4560 | 0.5658 |
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+ | 1.476 | 2.1179 | 1150 | 1.4459 | 0.5737 |
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+ | 1.476 | 2.2099 | 1200 | 1.4357 | 0.5777 |
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+ | 1.476 | 2.3020 | 1250 | 1.4315 | 0.5716 |
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+ | 1.476 | 2.3941 | 1300 | 1.4432 | 0.5779 |
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+ | 1.476 | 2.4862 | 1350 | 1.4483 | 0.5669 |
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+ | 1.476 | 2.5783 | 1400 | 1.4340 | 0.5704 |
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+ | 1.476 | 2.6703 | 1450 | 1.4357 | 0.5692 |
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+ | 1.2882 | 2.7624 | 1500 | 1.4298 | 0.5678 |
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+ | 1.2882 | 2.8545 | 1550 | 1.4248 | 0.5775 |
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+ | 1.2882 | 2.9466 | 1600 | 1.4209 | 0.5737 |
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+ | 1.2882 | 3.0387 | 1650 | 1.4215 | 0.5761 |
87
+ | 1.2882 | 3.1308 | 1700 | 1.4326 | 0.5677 |
88
+ | 1.2882 | 3.2228 | 1750 | 1.4630 | 0.5593 |
89
+ | 1.2882 | 3.3149 | 1800 | 1.4505 | 0.5678 |
90
+ | 1.2882 | 3.4070 | 1850 | 1.4537 | 0.5677 |
91
+ | 1.2882 | 3.4991 | 1900 | 1.4491 | 0.5700 |
92
+ | 1.2882 | 3.5912 | 1950 | 1.4504 | 0.5695 |
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+ | 1.1551 | 3.6832 | 2000 | 1.4532 | 0.5600 |
94
+ | 1.1551 | 3.7753 | 2050 | 1.4601 | 0.5642 |
95
+ | 1.1551 | 3.8674 | 2100 | 1.4482 | 0.5708 |
96
+ | 1.1551 | 3.9595 | 2150 | 1.4568 | 0.5652 |
97
+ | 1.1551 | 4.0516 | 2200 | 1.4610 | 0.5642 |
98
+ | 1.1551 | 4.1436 | 2250 | 1.4919 | 0.5620 |
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+ | 1.1551 | 4.2357 | 2300 | 1.4863 | 0.5663 |
100
+ | 1.1551 | 4.3278 | 2350 | 1.5135 | 0.5586 |
101
+ | 1.1551 | 4.4199 | 2400 | 1.4971 | 0.5642 |
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+ | 1.1551 | 4.5120 | 2450 | 1.5065 | 0.5595 |
103
+ | 1.0118 | 4.6041 | 2500 | 1.5057 | 0.5608 |
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+ | 1.0118 | 4.6961 | 2550 | 1.5217 | 0.5553 |
105
+ | 1.0118 | 4.7882 | 2600 | 1.5260 | 0.5509 |
106
+ | 1.0118 | 4.8803 | 2650 | 1.5149 | 0.5583 |
107
+ | 1.0118 | 4.9724 | 2700 | 1.5255 | 0.5609 |
108
+ | 1.0118 | 5.0645 | 2750 | 1.5315 | 0.5569 |
109
+ | 1.0118 | 5.1565 | 2800 | 1.5511 | 0.5504 |
110
+ | 1.0118 | 5.2486 | 2850 | 1.5621 | 0.5539 |
111
+ | 1.0118 | 5.3407 | 2900 | 1.5760 | 0.5622 |
112
+ | 1.0118 | 5.4328 | 2950 | 1.5851 | 0.5504 |
113
+ | 0.8868 | 5.5249 | 3000 | 1.5944 | 0.5546 |
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+ | 0.8868 | 5.6169 | 3050 | 1.5948 | 0.5541 |
115
+ | 0.8868 | 5.7090 | 3100 | 1.6025 | 0.5447 |
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+ | 0.8868 | 5.8011 | 3150 | 1.5968 | 0.5456 |
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+ | 0.8868 | 5.8932 | 3200 | 1.5893 | 0.5479 |
118
+ | 0.8868 | 5.9853 | 3250 | 1.6150 | 0.5472 |
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+ | 0.8868 | 6.0773 | 3300 | 1.6327 | 0.5509 |
120
+ | 0.8868 | 6.1694 | 3350 | 1.6535 | 0.5578 |
121
+ | 0.8868 | 6.2615 | 3400 | 1.6627 | 0.5469 |
122
+ | 0.8868 | 6.3536 | 3450 | 1.6689 | 0.5475 |
123
+ | 0.7499 | 6.4457 | 3500 | 1.6913 | 0.5343 |
124
+ | 0.7499 | 6.5378 | 3550 | 1.7123 | 0.5422 |
125
+ | 0.7499 | 6.6298 | 3600 | 1.7112 | 0.5379 |
126
+ | 0.7499 | 6.7219 | 3650 | 1.7220 | 0.5344 |
127
+ | 0.7499 | 6.8140 | 3700 | 1.7018 | 0.5431 |
128
+ | 0.7499 | 6.9061 | 3750 | 1.7093 | 0.5354 |
129
+ | 0.7499 | 6.9982 | 3800 | 1.7227 | 0.5449 |
130
+ | 0.7499 | 7.0902 | 3850 | 1.7399 | 0.5446 |
131
+ | 0.7499 | 7.1823 | 3900 | 1.7616 | 0.5371 |
132
+ | 0.7499 | 7.2744 | 3950 | 1.7855 | 0.5337 |
133
+ | 0.6473 | 7.3665 | 4000 | 1.7811 | 0.5362 |
134
+ | 0.6473 | 7.4586 | 4050 | 1.7944 | 0.5369 |
135
+ | 0.6473 | 7.5506 | 4100 | 1.8108 | 0.5367 |
136
+ | 0.6473 | 7.6427 | 4150 | 1.8058 | 0.5370 |
137
+ | 0.6473 | 7.7348 | 4200 | 1.8092 | 0.5392 |
138
+ | 0.6473 | 7.8269 | 4250 | 1.8322 | 0.5291 |
139
+ | 0.6473 | 7.9190 | 4300 | 1.8419 | 0.5283 |
140
+ | 0.6473 | 8.0110 | 4350 | 1.8451 | 0.5405 |
141
+ | 0.6473 | 8.1031 | 4400 | 1.8832 | 0.5312 |
142
+ | 0.6473 | 8.1952 | 4450 | 1.8869 | 0.5329 |
143
+ | 0.5375 | 8.2873 | 4500 | 1.9002 | 0.5377 |
144
+ | 0.5375 | 8.3794 | 4550 | 1.9259 | 0.5252 |
145
+ | 0.5375 | 8.4715 | 4600 | 1.9316 | 0.5264 |
146
+ | 0.5375 | 8.5635 | 4650 | 1.9401 | 0.5255 |
147
+ | 0.5375 | 8.6556 | 4700 | 1.9624 | 0.5294 |
148
+ | 0.5375 | 8.7477 | 4750 | 1.9661 | 0.5212 |
149
+ | 0.5375 | 8.8398 | 4800 | 1.9745 | 0.5192 |
150
+ | 0.5375 | 8.9319 | 4850 | 1.9598 | 0.5365 |
151
+ | 0.5375 | 9.0239 | 4900 | 1.9900 | 0.5278 |
152
+ | 0.5375 | 9.1160 | 4950 | 2.0058 | 0.5314 |
153
+ | 0.4498 | 9.2081 | 5000 | 2.0130 | 0.5259 |
154
+ | 0.4498 | 9.3002 | 5050 | 2.0354 | 0.5299 |
155
+ | 0.4498 | 9.3923 | 5100 | 2.0325 | 0.5313 |
156
+ | 0.4498 | 9.4843 | 5150 | 2.0508 | 0.5167 |
157
+ | 0.4498 | 9.5764 | 5200 | 2.0892 | 0.5240 |
158
+ | 0.4498 | 9.6685 | 5250 | 2.0906 | 0.5183 |
159
+ | 0.4498 | 9.7606 | 5300 | 2.0819 | 0.5309 |
160
+ | 0.4498 | 9.8527 | 5350 | 2.0995 | 0.5225 |
161
+ | 0.4498 | 9.9448 | 5400 | 2.1054 | 0.5205 |
162
+ | 0.4498 | 10.0368 | 5450 | 2.1189 | 0.5226 |
163
+ | 0.3664 | 10.1289 | 5500 | 2.1513 | 0.5289 |
164
+ | 0.3664 | 10.2210 | 5550 | 2.1673 | 0.5248 |
165
+ | 0.3664 | 10.3131 | 5600 | 2.1481 | 0.5205 |
166
+ | 0.3664 | 10.4052 | 5650 | 2.1662 | 0.5316 |
167
+ | 0.3664 | 10.4972 | 5700 | 2.1811 | 0.5176 |
168
+ | 0.3664 | 10.5893 | 5750 | 2.2210 | 0.5255 |
169
+ | 0.3664 | 10.6814 | 5800 | 2.2244 | 0.5198 |
170
+ | 0.3664 | 10.7735 | 5850 | 2.1979 | 0.5199 |
171
+ | 0.3664 | 10.8656 | 5900 | 2.2120 | 0.5161 |
172
+ | 0.3664 | 10.9576 | 5950 | 2.2204 | 0.5139 |
173
+ | 0.3156 | 11.0497 | 6000 | 2.2456 | 0.5244 |
174
+ | 0.3156 | 11.1418 | 6050 | 2.2480 | 0.5226 |
175
+ | 0.3156 | 11.2339 | 6100 | 2.2882 | 0.5121 |
176
+ | 0.3156 | 11.3260 | 6150 | 2.2628 | 0.5251 |
177
+ | 0.3156 | 11.4180 | 6200 | 2.3119 | 0.5202 |
178
+ | 0.3156 | 11.5101 | 6250 | 2.3132 | 0.5108 |
179
+ | 0.3156 | 11.6022 | 6300 | 2.3214 | 0.5266 |
180
+ | 0.3156 | 11.6943 | 6350 | 2.3335 | 0.5113 |
181
+ | 0.3156 | 11.7864 | 6400 | 2.3260 | 0.5170 |
182
+ | 0.3156 | 11.8785 | 6450 | 2.3309 | 0.5250 |
183
+ | 0.2574 | 11.9705 | 6500 | 2.3376 | 0.5200 |
184
+ | 0.2574 | 12.0626 | 6550 | 2.3590 | 0.5202 |
185
+ | 0.2574 | 12.1547 | 6600 | 2.3936 | 0.5203 |
186
+ | 0.2574 | 12.2468 | 6650 | 2.4195 | 0.5096 |
187
+ | 0.2574 | 12.3389 | 6700 | 2.3977 | 0.5208 |
188
+ | 0.2574 | 12.4309 | 6750 | 2.4062 | 0.5195 |
189
+ | 0.2574 | 12.5230 | 6800 | 2.4148 | 0.5070 |
190
+ | 0.2574 | 12.6151 | 6850 | 2.3926 | 0.5238 |
191
+ | 0.2574 | 12.7072 | 6900 | 2.4649 | 0.5280 |
192
+ | 0.2574 | 12.7993 | 6950 | 2.4390 | 0.5104 |
193
+ | 0.2141 | 12.8913 | 7000 | 2.4747 | 0.5100 |
194
+ | 0.2141 | 12.9834 | 7050 | 2.4723 | 0.5139 |
195
+ | 0.2141 | 13.0755 | 7100 | 2.4854 | 0.5131 |
196
+ | 0.2141 | 13.1676 | 7150 | 2.4948 | 0.5040 |
197
+ | 0.2141 | 13.2597 | 7200 | 2.5408 | 0.5048 |
198
+ | 0.2141 | 13.3517 | 7250 | 2.4955 | 0.5196 |
199
+ | 0.2141 | 13.4438 | 7300 | 2.5269 | 0.5167 |
200
+ | 0.2141 | 13.5359 | 7350 | 2.5142 | 0.5129 |
201
+ | 0.2141 | 13.6280 | 7400 | 2.5483 | 0.5089 |
202
+ | 0.2141 | 13.7201 | 7450 | 2.5316 | 0.5097 |
203
+ | 0.1803 | 13.8122 | 7500 | 2.5726 | 0.5107 |
204
+ | 0.1803 | 13.9042 | 7550 | 2.5496 | 0.5220 |
205
+ | 0.1803 | 13.9963 | 7600 | 2.5697 | 0.5116 |
206
+ | 0.1803 | 14.0884 | 7650 | 2.5899 | 0.5090 |
207
+ | 0.1803 | 14.1805 | 7700 | 2.5814 | 0.5208 |
208
+ | 0.1803 | 14.2726 | 7750 | 2.6149 | 0.5185 |
209
+ | 0.1803 | 14.3646 | 7800 | 2.6136 | 0.5181 |
210
+ | 0.1803 | 14.4567 | 7850 | 2.6250 | 0.5270 |
211
+ | 0.1803 | 14.5488 | 7900 | 2.6196 | 0.5179 |
212
+ | 0.1803 | 14.6409 | 7950 | 2.6376 | 0.5144 |
213
+ | 0.148 | 14.7330 | 8000 | 2.6448 | 0.5174 |
214
+ | 0.148 | 14.8250 | 8050 | 2.6503 | 0.5183 |
215
+ | 0.148 | 14.9171 | 8100 | 2.6473 | 0.5235 |
216
+ | 0.148 | 15.0092 | 8150 | 2.6824 | 0.5066 |
217
+ | 0.148 | 15.1013 | 8200 | 2.6793 | 0.5107 |
218
+ | 0.148 | 15.1934 | 8250 | 2.7011 | 0.5251 |
219
+ | 0.148 | 15.2855 | 8300 | 2.7074 | 0.5090 |
220
+ | 0.148 | 15.3775 | 8350 | 2.7121 | 0.5134 |
221
+ | 0.148 | 15.4696 | 8400 | 2.7508 | 0.5038 |
222
+ | 0.148 | 15.5617 | 8450 | 2.7502 | 0.5172 |
223
+ | 0.1301 | 15.6538 | 8500 | 2.7507 | 0.5180 |
224
+ | 0.1301 | 15.7459 | 8550 | 2.7449 | 0.5120 |
225
+ | 0.1301 | 15.8379 | 8600 | 2.7547 | 0.5205 |
226
+ | 0.1301 | 15.9300 | 8650 | 2.7351 | 0.5225 |
227
+ | 0.1301 | 16.0221 | 8700 | 2.7622 | 0.5172 |
228
+ | 0.1301 | 16.1142 | 8750 | 2.7757 | 0.5165 |
229
+ | 0.1301 | 16.2063 | 8800 | 2.7955 | 0.5169 |
230
+ | 0.1301 | 16.2983 | 8850 | 2.8096 | 0.5236 |
231
+ | 0.1301 | 16.3904 | 8900 | 2.8342 | 0.5182 |
232
+ | 0.1301 | 16.4825 | 8950 | 2.8554 | 0.5041 |
233
+ | 0.1103 | 16.5746 | 9000 | 2.8439 | 0.5200 |
234
+ | 0.1103 | 16.6667 | 9050 | 2.8411 | 0.5248 |
235
+ | 0.1103 | 16.7587 | 9100 | 2.8346 | 0.5184 |
236
+ | 0.1103 | 16.8508 | 9150 | 2.8771 | 0.5088 |
237
+ | 0.1103 | 16.9429 | 9200 | 2.8701 | 0.5062 |
238
+ | 0.1103 | 17.0350 | 9250 | 2.8685 | 0.5127 |
239
+ | 0.1103 | 17.1271 | 9300 | 2.8680 | 0.5185 |
240
+ | 0.1103 | 17.2192 | 9350 | 2.8954 | 0.5219 |
241
+ | 0.1103 | 17.3112 | 9400 | 2.9458 | 0.5100 |
242
+ | 0.1103 | 17.4033 | 9450 | 2.9223 | 0.5168 |
243
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244
+ | 0.101 | 17.5875 | 9550 | 2.9177 | 0.5236 |
245
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246
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247
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248
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249
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250
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251
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252
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253
+ | 0.0864 | 18.4162 | 10000 | 2.9569 | 0.5284 |
254
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255
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256
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257
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258
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259
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260
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261
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262
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263
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264
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265
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266
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267
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268
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269
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270
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271
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272
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273
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274
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275
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276
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277
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278
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279
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280
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281
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282
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283
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284
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285
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286
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287
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288
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289
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290
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291
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292
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293
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294
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295
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296
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297
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298
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299
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300
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301
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302
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303
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304
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305
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306
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307
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308
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309
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310
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311
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312
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313
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314
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315
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316
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317
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318
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319
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320
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321
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322
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323
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324
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325
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326
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327
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328
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329
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330
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331
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332
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333
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334
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335
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336
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337
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338
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339
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340
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341
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342
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343
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344
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345
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346
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347
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348
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349
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350
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351
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352
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353
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354
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355
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356
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357
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358
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359
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360
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361
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362
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363
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364
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365
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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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371
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372
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373
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374
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375
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376
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377
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378
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379
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380
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381
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382
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383
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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
+ | 0.0234 | 31.1234 | 16900 | 3.6168 | 0.5189 |
392
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393
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394
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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
+ | 0.0215 | 31.8600 | 17300 | 3.6178 | 0.5188 |
400
+ | 0.0215 | 31.9521 | 17350 | 3.6175 | 0.5190 |
401
 
402
 
403
  ### Framework versions
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