MexicanVanGogh commited on
Commit
62a36fc
1 Parent(s): 0ec356c

End of training

Browse files
Files changed (4) hide show
  1. README.md +198 -0
  2. config.json +102 -0
  3. pytorch_model.bin +3 -0
  4. training_args.bin +3 -0
README.md ADDED
@@ -0,0 +1,198 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: other
3
+ base_model: nvidia/mit-b3
4
+ tags:
5
+ - vision
6
+ - image-segmentation
7
+ - generated_from_trainer
8
+ metrics:
9
+ - recall
10
+ model-index:
11
+ - name: segformer-b3-finetuned-segments-greenhousev7-oct-26
12
+ results: []
13
+ ---
14
+
15
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
16
+ should probably proofread and complete it, then remove this comment. -->
17
+
18
+ # segformer-b3-finetuned-segments-greenhousev7-oct-26
19
+
20
+ This model is a fine-tuned version of [nvidia/mit-b3](https://huggingface.co/nvidia/mit-b3) on an unknown dataset.
21
+ It achieves the following results on the evaluation set:
22
+ - Loss: 0.1877
23
+ - Mean Iou: 0.5611
24
+ - Mean Accuracy: 0.7306
25
+ - Overall Accuracy: 0.9590
26
+ - F1 Score: 0.9571
27
+ - Recall: 0.9590
28
+ - Accuracy Unlabeled: nan
29
+ - Accuracy Object: 0.7986
30
+ - Accuracy Road: nan
31
+ - Accuracy Plant: 0.9573
32
+ - Accuracy Iron: 0.7348
33
+ - Accuracy Wood: 0.2613
34
+ - Accuracy Wall: 0.9777
35
+ - Accuracy Raw Road: 0.9905
36
+ - Accuracy Bottom Wall: 0.6139
37
+ - Accuracy Roof: 0.7790
38
+ - Accuracy Grass: 0.1663
39
+ - Accuracy Mulch: 0.9244
40
+ - Accuracy Person: nan
41
+ - Accuracy Tomato: 0.8332
42
+ - Iou Unlabeled: 0.0
43
+ - Iou Object: 0.4507
44
+ - Iou Road: nan
45
+ - Iou Plant: 0.8984
46
+ - Iou Iron: 0.6241
47
+ - Iou Wood: 0.2362
48
+ - Iou Wall: 0.8536
49
+ - Iou Raw Road: 0.9819
50
+ - Iou Bottom Wall: 0.5775
51
+ - Iou Roof: 0.4149
52
+ - Iou Grass: 0.1550
53
+ - Iou Mulch: 0.8699
54
+ - Iou Person: nan
55
+ - Iou Tomato: 0.6710
56
+
57
+ ## Model description
58
+
59
+ More information needed
60
+
61
+ ## Intended uses & limitations
62
+
63
+ More information needed
64
+
65
+ ## Training and evaluation data
66
+
67
+ More information needed
68
+
69
+ ## Training procedure
70
+
71
+ ### Training hyperparameters
72
+
73
+ The following hyperparameters were used during training:
74
+ - learning_rate: 6e-05
75
+ - train_batch_size: 2
76
+ - eval_batch_size: 2
77
+ - seed: 42
78
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
79
+ - lr_scheduler_type: linear
80
+ - num_epochs: 15
81
+
82
+ ### Training results
83
+
84
+ | Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | F1 Score | Recall | Accuracy Unlabeled | Accuracy Object | Accuracy Road | Accuracy Plant | Accuracy Iron | Accuracy Wood | Accuracy Wall | Accuracy Raw Road | Accuracy Bottom Wall | Accuracy Roof | Accuracy Grass | Accuracy Mulch | Accuracy Person | Accuracy Tomato | Iou Unlabeled | Iou Object | Iou Road | Iou Plant | Iou Iron | Iou Wood | Iou Wall | Iou Raw Road | Iou Bottom Wall | Iou Roof | Iou Grass | Iou Mulch | Iou Person | Iou Tomato |
85
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:--------:|:------:|:------------------:|:---------------:|:-------------:|:--------------:|:-------------:|:-------------:|:-------------:|:-----------------:|:--------------------:|:-------------:|:--------------:|:--------------:|:---------------:|:---------------:|:-------------:|:----------:|:--------:|:---------:|:--------:|:--------:|:--------:|:------------:|:---------------:|:--------:|:---------:|:---------:|:----------:|:----------:|
86
+ | 0.3466 | 0.14 | 20 | 0.6268 | 0.2645 | 0.3035 | 0.8941 | 0.8921 | 0.8941 | nan | 0.0 | nan | 0.9655 | 0.0 | 0.0 | 0.5583 | 0.9698 | 0.0190 | 0.0 | 0.0 | 0.8262 | nan | 0.0 | nan | 0.0 | nan | 0.8101 | 0.0 | 0.0 | 0.5144 | 0.9493 | 0.0186 | 0.0 | 0.0 | 0.6170 | nan | 0.0 |
87
+ | 0.914 | 0.29 | 40 | 0.2950 | 0.3641 | 0.4082 | 0.9312 | 0.9291 | 0.9312 | nan | 0.0 | nan | 0.9681 | 0.0 | 0.0 | 0.9392 | 0.9855 | 0.1642 | 0.5631 | 0.0 | 0.8698 | nan | 0.0 | nan | 0.0 | nan | 0.8575 | 0.0 | 0.0 | 0.7309 | 0.9645 | 0.1509 | 0.4997 | 0.0 | 0.8014 | nan | 0.0 |
88
+ | 0.1742 | 0.43 | 60 | 0.2492 | 0.3962 | 0.4546 | 0.9378 | 0.9357 | 0.9378 | nan | 0.0 | nan | 0.9669 | 0.0838 | 0.0 | 0.9376 | 0.9868 | 0.3279 | 0.8091 | 0.0 | 0.8886 | nan | 0.0 | nan | 0.0 | nan | 0.8715 | 0.0828 | 0.0 | 0.7588 | 0.9714 | 0.2987 | 0.5746 | 0.0 | 0.8010 | nan | 0.0 |
89
+ | 0.1598 | 0.57 | 80 | 0.2401 | 0.4087 | 0.4544 | 0.9417 | 0.9396 | 0.9417 | nan | 0.0 | nan | 0.9637 | 0.2347 | 0.0 | 0.9604 | 0.9892 | 0.4306 | 0.5355 | 0.0 | 0.8841 | nan | 0.0 | nan | 0.0 | nan | 0.8761 | 0.2225 | 0.0 | 0.7708 | 0.9740 | 0.3262 | 0.4945 | 0.0 | 0.8318 | nan | 0.0 |
90
+ | 0.1135 | 0.71 | 100 | 0.2159 | 0.4208 | 0.4787 | 0.9427 | 0.9406 | 0.9427 | nan | 0.0 | nan | 0.9592 | 0.3801 | 0.0 | 0.9071 | 0.9896 | 0.4970 | 0.6324 | 0.0 | 0.9000 | nan | 0.0 | nan | 0.0 | nan | 0.8773 | 0.3321 | 0.0 | 0.7549 | 0.9751 | 0.3685 | 0.4847 | 0.0 | 0.8358 | nan | 0.0 |
91
+ | 0.2234 | 0.86 | 120 | 0.1996 | 0.4441 | 0.5161 | 0.9466 | 0.9444 | 0.9466 | nan | 0.0 | nan | 0.9554 | 0.5044 | 0.0 | 0.9205 | 0.9895 | 0.5865 | 0.8090 | 0.0 | 0.9117 | nan | 0.0007 | nan | 0.0 | nan | 0.8787 | 0.4093 | 0.0 | 0.7943 | 0.9763 | 0.4661 | 0.5201 | 0.0 | 0.8390 | nan | 0.0007 |
92
+ | 3.5646 | 1.0 | 140 | 0.2047 | 0.4018 | 0.4575 | 0.9414 | 0.9393 | 0.9414 | nan | 0.0 | nan | 0.9207 | 0.5052 | 0.0 | 0.8502 | 0.9846 | 0.7520 | 0.0209 | 0.0 | 0.9577 | nan | 0.0414 | nan | 0.0 | nan | 0.8642 | 0.4346 | 0.0 | 0.7642 | 0.9764 | 0.5021 | 0.0209 | 0.0 | 0.8161 | nan | 0.0414 |
93
+ | 0.1235 | 1.14 | 160 | 0.2004 | 0.4466 | 0.5066 | 0.9430 | 0.9409 | 0.9430 | nan | 0.0070 | nan | 0.9811 | 0.6109 | 0.0 | 0.7665 | 0.9886 | 0.8324 | 0.3634 | 0.0 | 0.8627 | nan | 0.1597 | nan | 0.0070 | nan | 0.8652 | 0.4780 | 0.0 | 0.7317 | 0.9785 | 0.5124 | 0.3514 | 0.0 | 0.8301 | nan | 0.1578 |
94
+ | 0.1218 | 1.29 | 180 | 0.1798 | 0.4148 | 0.5011 | 0.9496 | 0.9475 | 0.9496 | nan | 0.0070 | nan | 0.9663 | 0.6280 | 0.0 | 0.8972 | 0.9919 | 0.6830 | 0.1464 | 0.0 | 0.8909 | nan | 0.3010 | 0.0 | 0.0070 | nan | 0.8829 | 0.4950 | 0.0 | 0.8071 | 0.9767 | 0.5285 | 0.1457 | 0.0 | 0.8443 | nan | 0.2903 |
95
+ | 0.1067 | 1.43 | 200 | 0.1801 | 0.5412 | 0.6616 | 0.9507 | 0.9486 | 0.9507 | nan | 0.5220 | nan | 0.9379 | 0.5168 | 0.0067 | 0.9567 | 0.9939 | 0.6200 | 0.8573 | 0.0 | 0.9099 | nan | 0.9569 | nan | 0.4329 | nan | 0.8819 | 0.4313 | 0.0067 | 0.8283 | 0.9749 | 0.5446 | 0.5202 | 0.0 | 0.8513 | nan | 0.4813 |
96
+ | 0.2548 | 1.57 | 220 | 0.1814 | 0.5503 | 0.6276 | 0.9493 | 0.9472 | 0.9493 | nan | 0.5284 | nan | 0.9764 | 0.6101 | 0.0107 | 0.8767 | 0.9896 | 0.6827 | 0.6171 | 0.0 | 0.8737 | nan | 0.7380 | nan | 0.4750 | nan | 0.8823 | 0.4745 | 0.0107 | 0.7928 | 0.9781 | 0.5078 | 0.4999 | 0.0 | 0.8396 | nan | 0.5921 |
97
+ | 0.2123 | 1.71 | 240 | 0.1756 | 0.5733 | 0.6538 | 0.9542 | 0.9520 | 0.9542 | nan | 0.6850 | nan | 0.9518 | 0.6119 | 0.0 | 0.9534 | 0.9909 | 0.6611 | 0.6400 | 0.0 | 0.9164 | nan | 0.7814 | nan | 0.5538 | nan | 0.8889 | 0.4876 | 0.0 | 0.8463 | 0.9779 | 0.5530 | 0.5222 | 0.0 | 0.8561 | nan | 0.6201 |
98
+ | 0.1435 | 1.86 | 260 | 0.2013 | 0.5163 | 0.6539 | 0.9479 | 0.9458 | 0.9479 | nan | 0.6696 | nan | 0.9357 | 0.5588 | 0.0 | 0.8876 | 0.9881 | 0.5916 | 0.7977 | 0.0 | 0.9447 | nan | 0.8193 | nan | 0.5431 | nan | 0.8821 | 0.4583 | 0.0 | 0.7698 | 0.9788 | 0.5204 | 0.0610 | 0.0 | 0.8493 | nan | 0.6168 |
99
+ | 0.1099 | 2.0 | 280 | 0.2007 | 0.5021 | 0.6219 | 0.9548 | 0.9527 | 0.9548 | nan | 0.6861 | nan | 0.9652 | 0.7050 | 0.0 | 0.9740 | 0.9912 | 0.5738 | 0.2404 | 0.0 | 0.8976 | nan | 0.8074 | 0.0 | 0.5199 | nan | 0.8888 | 0.5440 | 0.0 | 0.8451 | 0.9796 | 0.5387 | 0.2388 | 0.0 | 0.8551 | nan | 0.6158 |
100
+ | 0.1319 | 2.14 | 300 | 0.2076 | 0.4990 | 0.6731 | 0.9529 | 0.9508 | 0.9529 | nan | 0.6926 | nan | 0.9686 | 0.5591 | 0.0 | 0.9729 | 0.9910 | 0.5830 | 0.9698 | 0.0 | 0.8832 | nan | 0.7841 | 0.0 | 0.4838 | nan | 0.8863 | 0.4826 | 0.0 | 0.8257 | 0.9789 | 0.5426 | 0.3065 | 0.0 | 0.8490 | nan | 0.6328 |
101
+ | 0.1619 | 2.29 | 320 | 0.1791 | 0.4886 | 0.6026 | 0.9544 | 0.9522 | 0.9544 | nan | 0.6697 | nan | 0.9699 | 0.5102 | 0.0 | 0.9720 | 0.9909 | 0.6494 | 0.1724 | 0.0 | 0.8889 | nan | 0.8057 | 0.0 | 0.4628 | nan | 0.8863 | 0.4391 | 0.0 | 0.8483 | 0.9795 | 0.5888 | 0.1697 | 0.0 | 0.8516 | nan | 0.6372 |
102
+ | 0.0795 | 2.43 | 340 | 0.1715 | 0.5287 | 0.6631 | 0.9559 | 0.9538 | 0.9559 | nan | 0.8129 | nan | 0.9609 | 0.6383 | 0.0 | 0.9493 | 0.9907 | 0.7070 | 0.5975 | 0.0 | 0.9087 | nan | 0.7293 | 0.0 | 0.5015 | nan | 0.8906 | 0.5095 | 0.0 | 0.8539 | 0.9795 | 0.6080 | 0.5105 | 0.0 | 0.8589 | nan | 0.6323 |
103
+ | 0.078 | 2.57 | 360 | 0.2003 | 0.4869 | 0.6272 | 0.9536 | 0.9514 | 0.9536 | nan | 0.9025 | nan | 0.9548 | 0.6202 | 0.0 | 0.9866 | 0.9871 | 0.5544 | 0.6054 | 0.0 | 0.9294 | nan | 0.3593 | 0.0 | 0.3769 | nan | 0.8877 | 0.5047 | 0.0 | 0.8421 | 0.9800 | 0.5172 | 0.5203 | 0.0 | 0.8589 | nan | 0.3550 |
104
+ | 0.1228 | 2.71 | 380 | 0.1846 | 0.5075 | 0.6878 | 0.9533 | 0.9512 | 0.9533 | nan | 0.8965 | nan | 0.9641 | 0.6433 | 0.0 | 0.9493 | 0.9898 | 0.6567 | 0.7337 | 0.0 | 0.8902 | nan | 0.8426 | 0.0 | 0.3840 | nan | 0.8879 | 0.5151 | 0.0 | 0.8380 | 0.9807 | 0.5297 | 0.4775 | 0.0 | 0.8535 | nan | 0.6232 |
105
+ | 0.1107 | 2.86 | 400 | 0.1851 | 0.4823 | 0.7142 | 0.9530 | 0.9510 | 0.9530 | nan | 0.9242 | nan | 0.9457 | 0.7217 | 0.0 | 0.9503 | 0.9903 | 0.5962 | 0.9362 | 0.0 | 0.9187 | nan | 0.8728 | 0.0 | 0.3181 | nan | 0.8872 | 0.5642 | 0.0 | 0.8345 | 0.9806 | 0.5458 | 0.2155 | 0.0 | 0.8575 | nan | 0.5838 |
106
+ | 0.1085 | 3.0 | 420 | 0.1718 | 0.5236 | 0.6966 | 0.9554 | 0.9533 | 0.9554 | nan | 0.8536 | nan | 0.9544 | 0.6110 | 0.0 | 0.9758 | 0.9902 | 0.6282 | 0.8492 | 0.0 | 0.9159 | nan | 0.8846 | 0.0 | 0.4364 | nan | 0.8905 | 0.5163 | 0.0 | 0.8521 | 0.9805 | 0.5549 | 0.5890 | 0.0 | 0.8607 | nan | 0.6030 |
107
+ | 0.0873 | 3.14 | 440 | 0.1771 | 0.4963 | 0.7124 | 0.9540 | 0.9519 | 0.9540 | nan | 0.8776 | nan | 0.9388 | 0.6936 | 0.0 | 0.9653 | 0.9906 | 0.6004 | 0.9788 | 0.0 | 0.9328 | nan | 0.8586 | 0.0 | 0.3743 | nan | 0.8868 | 0.5555 | 0.0 | 0.8397 | 0.9807 | 0.5588 | 0.2816 | 0.0 | 0.8568 | nan | 0.6215 |
108
+ | 0.0936 | 3.29 | 460 | 0.1814 | 0.5154 | 0.6980 | 0.9533 | 0.9512 | 0.9533 | nan | 0.8522 | nan | 0.9293 | 0.7087 | 0.0 | 0.9680 | 0.9913 | 0.6251 | 0.9447 | 0.0 | 0.9387 | nan | 0.7204 | 0.0 | 0.3772 | nan | 0.8825 | 0.5643 | 0.0 | 0.8488 | 0.9798 | 0.5665 | 0.4810 | 0.0 | 0.8485 | nan | 0.6357 |
109
+ | 0.0635 | 3.43 | 480 | 0.1915 | 0.5053 | 0.6948 | 0.9548 | 0.9527 | 0.9548 | nan | 0.8887 | nan | 0.9521 | 0.8785 | 0.0 | 0.9696 | 0.9926 | 0.5532 | 0.8696 | 0.0 | 0.9075 | nan | 0.6316 | 0.0 | 0.3470 | nan | 0.8925 | 0.6068 | 0.0 | 0.8451 | 0.9798 | 0.5373 | 0.4154 | 0.0 | 0.8563 | nan | 0.5835 |
110
+ | 0.0926 | 3.57 | 500 | 0.1650 | 0.5100 | 0.6625 | 0.9556 | 0.9537 | 0.9556 | nan | 0.7542 | nan | 0.9537 | 0.7281 | 0.0 | 0.8971 | 0.9909 | 0.7813 | 0.5345 | 0.0 | 0.9232 | nan | 0.7241 | 0.0 | 0.4051 | nan | 0.8937 | 0.5811 | 0.0 | 0.8288 | 0.9799 | 0.5975 | 0.3339 | 0.0 | 0.8661 | nan | 0.6346 |
111
+ | 0.0594 | 3.71 | 520 | 0.1727 | 0.5318 | 0.6845 | 0.9553 | 0.9533 | 0.9553 | nan | 0.6966 | nan | 0.9538 | 0.6689 | 0.1708 | 0.9315 | 0.9910 | 0.6624 | 0.7169 | 0.0 | 0.9243 | nan | 0.8132 | 0.0 | 0.4080 | nan | 0.8928 | 0.5633 | 0.1708 | 0.8274 | 0.9799 | 0.5514 | 0.4850 | 0.0 | 0.8649 | nan | 0.6381 |
112
+ | 0.0882 | 3.86 | 540 | 0.1789 | 0.5200 | 0.6646 | 0.9545 | 0.9524 | 0.9545 | nan | 0.7641 | nan | 0.9494 | 0.6624 | 0.2372 | 0.9344 | 0.9893 | 0.6474 | 0.3398 | 0.0 | 0.9327 | nan | 0.8544 | 0.0 | 0.4389 | nan | 0.8900 | 0.5450 | 0.2372 | 0.8257 | 0.9802 | 0.5298 | 0.3249 | 0.0 | 0.8650 | nan | 0.6035 |
113
+ | 0.0754 | 4.0 | 560 | 0.1873 | 0.5440 | 0.6654 | 0.9565 | 0.9544 | 0.9565 | nan | 0.7324 | nan | 0.9653 | 0.6935 | 0.1220 | 0.9786 | 0.9911 | 0.5926 | 0.6934 | 0.0 | 0.9072 | nan | 0.6433 | 0.0 | 0.5182 | nan | 0.8908 | 0.5642 | 0.1220 | 0.8496 | 0.9807 | 0.5557 | 0.6074 | 0.0 | 0.8619 | nan | 0.5774 |
114
+ | 0.8611 | 4.14 | 580 | 0.1798 | 0.5594 | 0.7440 | 0.9560 | 0.9539 | 0.9560 | nan | 0.8256 | nan | 0.9654 | 0.6905 | 0.4657 | 0.9671 | 0.9905 | 0.6073 | 0.8920 | 0.0016 | 0.9003 | nan | 0.8782 | 0.0 | 0.4570 | nan | 0.8916 | 0.5856 | 0.4506 | 0.8452 | 0.9806 | 0.5562 | 0.4268 | 0.0016 | 0.8591 | nan | 0.6591 |
115
+ | 0.0482 | 4.29 | 600 | 0.1881 | 0.5538 | 0.7312 | 0.9559 | 0.9538 | 0.9559 | nan | 0.7879 | nan | 0.9372 | 0.7508 | 0.4063 | 0.9662 | 0.9917 | 0.6125 | 0.8767 | 0.0065 | 0.9409 | nan | 0.7660 | 0.0 | 0.4941 | nan | 0.8870 | 0.6162 | 0.3691 | 0.8487 | 0.9800 | 0.5648 | 0.3612 | 0.0065 | 0.8620 | nan | 0.6563 |
116
+ | 0.0709 | 4.43 | 620 | 0.1914 | 0.5602 | 0.7387 | 0.9565 | 0.9545 | 0.9565 | nan | 0.8133 | nan | 0.9432 | 0.6268 | 0.4374 | 0.9799 | 0.9900 | 0.6105 | 0.9273 | 0.0063 | 0.9422 | nan | 0.8483 | 0.0 | 0.5420 | nan | 0.8909 | 0.5470 | 0.3567 | 0.8436 | 0.9813 | 0.5660 | 0.4610 | 0.0063 | 0.8630 | nan | 0.6651 |
117
+ | 0.1201 | 4.57 | 640 | 0.1712 | 0.5727 | 0.7454 | 0.9558 | 0.9537 | 0.9558 | nan | 0.7765 | nan | 0.9466 | 0.5908 | 0.5167 | 0.9798 | 0.9883 | 0.6129 | 0.9466 | 0.0033 | 0.9387 | nan | 0.8989 | 0.0 | 0.5081 | nan | 0.8900 | 0.5305 | 0.5088 | 0.8480 | 0.9794 | 0.5657 | 0.5558 | 0.0033 | 0.8617 | nan | 0.6216 |
118
+ | 0.0969 | 4.71 | 660 | 0.1741 | 0.5403 | 0.7210 | 0.9560 | 0.9540 | 0.9560 | nan | 0.8223 | nan | 0.9543 | 0.6838 | 0.1895 | 0.9805 | 0.9922 | 0.6065 | 0.8429 | 0.0027 | 0.9076 | nan | 0.9484 | 0.0 | 0.4959 | nan | 0.8892 | 0.5735 | 0.1893 | 0.8548 | 0.9804 | 0.5715 | 0.5902 | 0.0027 | 0.8650 | nan | 0.4707 |
119
+ | 0.0746 | 4.86 | 680 | 0.1769 | 0.5411 | 0.7055 | 0.9567 | 0.9547 | 0.9567 | nan | 0.7651 | nan | 0.9479 | 0.6735 | 0.2252 | 0.9800 | 0.9900 | 0.6130 | 0.6933 | 0.0030 | 0.9335 | nan | 0.9359 | 0.0 | 0.5082 | nan | 0.8905 | 0.5676 | 0.2248 | 0.8541 | 0.9811 | 0.5681 | 0.4908 | 0.0030 | 0.8678 | nan | 0.5368 |
120
+ | 0.0689 | 5.0 | 700 | 0.1906 | 0.5379 | 0.7134 | 0.9565 | 0.9544 | 0.9565 | nan | 0.7703 | nan | 0.9481 | 0.7673 | 0.1447 | 0.9667 | 0.9906 | 0.5793 | 0.8123 | 0.0015 | 0.9336 | nan | 0.9334 | 0.0 | 0.5152 | nan | 0.8899 | 0.5916 | 0.1446 | 0.8499 | 0.9807 | 0.5571 | 0.5136 | 0.0015 | 0.8675 | nan | 0.5436 |
121
+ | 0.257 | 5.14 | 720 | 0.1951 | 0.5302 | 0.7095 | 0.9545 | 0.9526 | 0.9545 | nan | 0.8505 | nan | 0.9355 | 0.7379 | 0.0903 | 0.9764 | 0.9891 | 0.6039 | 0.9617 | 0.0039 | 0.9434 | nan | 0.7113 | 0.0 | 0.4514 | nan | 0.8847 | 0.5987 | 0.0888 | 0.8507 | 0.9794 | 0.5566 | 0.4561 | 0.0039 | 0.8575 | nan | 0.6344 |
122
+ | 0.078 | 5.29 | 740 | 0.1922 | 0.5094 | 0.7233 | 0.9545 | 0.9527 | 0.9545 | nan | 0.9164 | nan | 0.9553 | 0.7133 | 0.1630 | 0.9552 | 0.9894 | 0.6057 | 0.9829 | 0.0049 | 0.9163 | nan | 0.7542 | 0.0 | 0.3053 | nan | 0.8917 | 0.5774 | 0.1625 | 0.8415 | 0.9800 | 0.5570 | 0.2948 | 0.0049 | 0.8629 | nan | 0.6341 |
123
+ | 0.0884 | 5.43 | 760 | 0.2010 | 0.5331 | 0.7055 | 0.9556 | 0.9536 | 0.9556 | nan | 0.9282 | nan | 0.9554 | 0.6693 | 0.0825 | 0.9821 | 0.9896 | 0.6174 | 0.8410 | 0.0015 | 0.9140 | nan | 0.7801 | 0.0 | 0.2756 | nan | 0.8916 | 0.5668 | 0.0802 | 0.8565 | 0.9814 | 0.5673 | 0.6925 | 0.0014 | 0.8631 | nan | 0.6206 |
124
+ | 0.0854 | 5.57 | 780 | 0.1850 | 0.5366 | 0.7186 | 0.9556 | 0.9536 | 0.9556 | nan | 0.8370 | nan | 0.9444 | 0.6835 | 0.2189 | 0.9716 | 0.9922 | 0.6170 | 0.9019 | 0.0013 | 0.9250 | nan | 0.8115 | 0.0 | 0.3638 | nan | 0.8893 | 0.5734 | 0.2048 | 0.8525 | 0.9804 | 0.5575 | 0.4912 | 0.0013 | 0.8621 | nan | 0.6627 |
125
+ | 0.1019 | 5.71 | 800 | 0.1902 | 0.5381 | 0.7596 | 0.9559 | 0.9539 | 0.9559 | nan | 0.8297 | nan | 0.9540 | 0.7560 | 0.5776 | 0.9636 | 0.9889 | 0.5811 | 0.9607 | 0.0021 | 0.9263 | nan | 0.8160 | 0.0 | 0.3791 | nan | 0.8925 | 0.6065 | 0.4194 | 0.8410 | 0.9810 | 0.5573 | 0.2512 | 0.0021 | 0.8636 | nan | 0.6639 |
126
+ | 0.0663 | 5.86 | 820 | 0.1798 | 0.5756 | 0.7444 | 0.9571 | 0.9552 | 0.9571 | nan | 0.7684 | nan | 0.9504 | 0.6827 | 0.6757 | 0.9759 | 0.9895 | 0.6072 | 0.6976 | 0.0127 | 0.9345 | nan | 0.8936 | 0.0 | 0.4783 | nan | 0.8930 | 0.5878 | 0.5433 | 0.8554 | 0.9802 | 0.5645 | 0.4659 | 0.0121 | 0.8669 | nan | 0.6599 |
127
+ | 0.0867 | 6.0 | 840 | 0.1876 | 0.5620 | 0.7323 | 0.9572 | 0.9551 | 0.9572 | nan | 0.6994 | nan | 0.9633 | 0.6614 | 0.7345 | 0.9818 | 0.9884 | 0.6067 | 0.5486 | 0.0231 | 0.9167 | nan | 0.9315 | 0.0 | 0.4973 | nan | 0.8941 | 0.5834 | 0.4772 | 0.8537 | 0.9803 | 0.5667 | 0.3765 | 0.0210 | 0.8670 | nan | 0.6264 |
128
+ | 0.0851 | 6.14 | 860 | 0.1891 | 0.5529 | 0.7157 | 0.9557 | 0.9537 | 0.9557 | nan | 0.6946 | nan | 0.9614 | 0.6375 | 0.5626 | 0.9894 | 0.9898 | 0.6001 | 0.5568 | 0.0211 | 0.9031 | nan | 0.9566 | 0.0 | 0.5005 | nan | 0.8911 | 0.5637 | 0.4196 | 0.8419 | 0.9799 | 0.5542 | 0.4327 | 0.0195 | 0.8635 | nan | 0.5678 |
129
+ | 0.0846 | 6.29 | 880 | 0.1743 | 0.5608 | 0.7337 | 0.9566 | 0.9546 | 0.9566 | nan | 0.7020 | nan | 0.9466 | 0.7529 | 0.4292 | 0.9730 | 0.9897 | 0.6163 | 0.8007 | 0.0220 | 0.9332 | nan | 0.9052 | 0.0 | 0.5383 | nan | 0.8917 | 0.6231 | 0.2764 | 0.8508 | 0.9795 | 0.5610 | 0.4652 | 0.0203 | 0.8668 | nan | 0.6568 |
130
+ | 0.0508 | 6.43 | 900 | 0.1887 | 0.5399 | 0.7751 | 0.9554 | 0.9533 | 0.9554 | nan | 0.8334 | nan | 0.9545 | 0.7853 | 0.5212 | 0.9477 | 0.9877 | 0.6094 | 0.9297 | 0.1135 | 0.9212 | nan | 0.9226 | 0.0 | 0.4474 | nan | 0.8940 | 0.6258 | 0.3360 | 0.8353 | 0.9794 | 0.5652 | 0.2190 | 0.0910 | 0.8660 | nan | 0.6200 |
131
+ | 0.0649 | 6.57 | 920 | 0.2036 | 0.5736 | 0.7555 | 0.9562 | 0.9542 | 0.9562 | nan | 0.8159 | nan | 0.9599 | 0.7247 | 0.4368 | 0.9853 | 0.9874 | 0.5911 | 0.8897 | 0.0756 | 0.9133 | nan | 0.9308 | 0.0 | 0.4635 | nan | 0.8932 | 0.6036 | 0.3094 | 0.8486 | 0.9800 | 0.5577 | 0.6947 | 0.0614 | 0.8655 | nan | 0.6057 |
132
+ | 0.0483 | 6.71 | 940 | 0.1851 | 0.5726 | 0.7620 | 0.9565 | 0.9546 | 0.9565 | nan | 0.8332 | nan | 0.9501 | 0.7208 | 0.4052 | 0.9816 | 0.9867 | 0.6021 | 0.9482 | 0.0932 | 0.9344 | nan | 0.9267 | 0.0 | 0.4992 | nan | 0.8928 | 0.6106 | 0.2967 | 0.8526 | 0.9798 | 0.5655 | 0.6276 | 0.0780 | 0.8666 | nan | 0.6023 |
133
+ | 0.0528 | 6.86 | 960 | 0.1703 | 0.5851 | 0.7253 | 0.9583 | 0.9562 | 0.9583 | nan | 0.7820 | nan | 0.9538 | 0.6818 | 0.3047 | 0.9814 | 0.9925 | 0.6008 | 0.9093 | 0.0227 | 0.9257 | nan | 0.8235 | 0.0 | 0.5877 | nan | 0.8957 | 0.5858 | 0.3028 | 0.8545 | 0.9804 | 0.5630 | 0.6824 | 0.0224 | 0.8688 | nan | 0.6777 |
134
+ | 0.0683 | 7.0 | 980 | 0.1714 | 0.5775 | 0.7542 | 0.9579 | 0.9561 | 0.9579 | nan | 0.8969 | nan | 0.9498 | 0.7188 | 0.4620 | 0.9848 | 0.9895 | 0.5956 | 0.8654 | 0.1028 | 0.9339 | nan | 0.7964 | 0.0 | 0.4175 | nan | 0.8960 | 0.6108 | 0.4277 | 0.8545 | 0.9809 | 0.5634 | 0.5512 | 0.1011 | 0.8693 | nan | 0.6580 |
135
+ | 0.0429 | 7.14 | 1000 | 0.1751 | 0.5632 | 0.7337 | 0.9581 | 0.9561 | 0.9581 | nan | 0.8656 | nan | 0.9574 | 0.7167 | 0.3912 | 0.9778 | 0.9905 | 0.6129 | 0.7990 | 0.0238 | 0.9237 | nan | 0.8120 | 0.0 | 0.4219 | nan | 0.8958 | 0.6073 | 0.3634 | 0.8551 | 0.9815 | 0.5670 | 0.5115 | 0.0237 | 0.8699 | nan | 0.6606 |
136
+ | 0.0671 | 7.29 | 1020 | 0.1798 | 0.5617 | 0.7396 | 0.9574 | 0.9554 | 0.9574 | nan | 0.8698 | nan | 0.9493 | 0.6916 | 0.4457 | 0.9813 | 0.9922 | 0.6076 | 0.8032 | 0.0425 | 0.9240 | nan | 0.8290 | 0.0 | 0.4088 | nan | 0.8937 | 0.5942 | 0.4176 | 0.8548 | 0.9807 | 0.5673 | 0.4642 | 0.0422 | 0.8678 | nan | 0.6486 |
137
+ | 0.0762 | 7.43 | 1040 | 0.1909 | 0.5393 | 0.7494 | 0.9557 | 0.9538 | 0.9557 | nan | 0.8481 | nan | 0.9584 | 0.6204 | 0.4728 | 0.9698 | 0.9905 | 0.6072 | 0.9137 | 0.0781 | 0.9092 | nan | 0.8753 | 0.0 | 0.3825 | nan | 0.8925 | 0.5571 | 0.4293 | 0.8393 | 0.9810 | 0.5646 | 0.2638 | 0.0745 | 0.8620 | nan | 0.6247 |
138
+ | 0.1076 | 7.57 | 1060 | 0.1801 | 0.5409 | 0.6997 | 0.9573 | 0.9553 | 0.9573 | nan | 0.6143 | nan | 0.9520 | 0.7201 | 0.1938 | 0.9661 | 0.9895 | 0.6126 | 0.9211 | 0.0379 | 0.9398 | nan | 0.7494 | 0.0 | 0.5324 | nan | 0.8928 | 0.5999 | 0.1884 | 0.8476 | 0.9811 | 0.5688 | 0.3173 | 0.0359 | 0.8679 | nan | 0.6589 |
139
+ | 0.0814 | 7.71 | 1080 | 0.1863 | 0.5516 | 0.7346 | 0.9565 | 0.9549 | 0.9565 | nan | 0.7393 | nan | 0.9679 | 0.7117 | 0.2736 | 0.9695 | 0.9871 | 0.6169 | 0.9227 | 0.0671 | 0.9088 | nan | 0.9162 | 0.0 | 0.5661 | nan | 0.8932 | 0.5977 | 0.2521 | 0.8494 | 0.9802 | 0.5709 | 0.3443 | 0.0606 | 0.8643 | nan | 0.6399 |
140
+ | 0.0634 | 7.86 | 1100 | 0.1792 | 0.5708 | 0.7221 | 0.9584 | 0.9564 | 0.9584 | nan | 0.6505 | nan | 0.9534 | 0.7394 | 0.3076 | 0.9848 | 0.9895 | 0.5847 | 0.8325 | 0.0759 | 0.9355 | nan | 0.8890 | 0.0 | 0.5410 | nan | 0.8954 | 0.6224 | 0.2904 | 0.8532 | 0.9812 | 0.5642 | 0.4975 | 0.0692 | 0.8703 | nan | 0.6644 |
141
+ | 0.0851 | 8.0 | 1120 | 0.1765 | 0.5582 | 0.7340 | 0.9578 | 0.9560 | 0.9578 | nan | 0.6668 | nan | 0.9668 | 0.7927 | 0.2572 | 0.9629 | 0.9897 | 0.6026 | 0.9542 | 0.0957 | 0.9099 | nan | 0.8752 | 0.0 | 0.5309 | nan | 0.8965 | 0.6148 | 0.2427 | 0.8479 | 0.9810 | 0.5753 | 0.3849 | 0.0841 | 0.8677 | nan | 0.6727 |
142
+ | 0.0722 | 8.14 | 1140 | 0.1888 | 0.5290 | 0.7518 | 0.9561 | 0.9542 | 0.9561 | nan | 0.8810 | nan | 0.9580 | 0.7190 | 0.3189 | 0.9555 | 0.9903 | 0.6095 | 0.9859 | 0.1038 | 0.9130 | nan | 0.8351 | 0.0 | 0.3816 | nan | 0.8936 | 0.6077 | 0.2898 | 0.8314 | 0.9815 | 0.5748 | 0.2001 | 0.0967 | 0.8673 | nan | 0.6240 |
143
+ | 0.0967 | 8.29 | 1160 | 0.1926 | 0.5562 | 0.6904 | 0.9579 | 0.9558 | 0.9579 | nan | 0.7735 | nan | 0.9519 | 0.7027 | 0.3493 | 0.9863 | 0.9904 | 0.6025 | 0.3384 | 0.0893 | 0.9290 | nan | 0.8814 | 0.0 | 0.5172 | nan | 0.8945 | 0.6029 | 0.3046 | 0.8520 | 0.9807 | 0.5743 | 0.3278 | 0.0801 | 0.8678 | nan | 0.6729 |
144
+ | 0.1107 | 8.43 | 1180 | 0.1926 | 0.5515 | 0.6806 | 0.9580 | 0.9559 | 0.9580 | nan | 0.7550 | nan | 0.9613 | 0.7024 | 0.3106 | 0.9825 | 0.9899 | 0.6130 | 0.2907 | 0.1014 | 0.9165 | nan | 0.8633 | 0.0 | 0.4986 | nan | 0.8959 | 0.6016 | 0.3000 | 0.8542 | 0.9804 | 0.5741 | 0.2809 | 0.0894 | 0.8678 | nan | 0.6751 |
145
+ | 0.0471 | 8.57 | 1200 | 0.1849 | 0.5659 | 0.7349 | 0.9584 | 0.9563 | 0.9584 | nan | 0.7403 | nan | 0.9603 | 0.7119 | 0.3614 | 0.9771 | 0.9903 | 0.6012 | 0.8676 | 0.0887 | 0.9214 | nan | 0.8638 | 0.0 | 0.4997 | nan | 0.8964 | 0.6071 | 0.3528 | 0.8529 | 0.9813 | 0.5711 | 0.4014 | 0.0812 | 0.8684 | nan | 0.6791 |
146
+ | 0.0427 | 8.71 | 1220 | 0.1874 | 0.5590 | 0.7287 | 0.9582 | 0.9561 | 0.9582 | nan | 0.7948 | nan | 0.9514 | 0.7342 | 0.2752 | 0.9794 | 0.9914 | 0.6003 | 0.8401 | 0.0843 | 0.9289 | nan | 0.8357 | 0.0 | 0.5046 | nan | 0.8952 | 0.6161 | 0.2661 | 0.8535 | 0.9812 | 0.5709 | 0.3947 | 0.0791 | 0.8677 | nan | 0.6791 |
147
+ | 0.0522 | 8.86 | 1240 | 0.1796 | 0.5547 | 0.7235 | 0.9583 | 0.9565 | 0.9583 | nan | 0.7893 | nan | 0.9568 | 0.7273 | 0.2275 | 0.9764 | 0.9900 | 0.6069 | 0.8464 | 0.0961 | 0.9271 | nan | 0.8144 | 0.0 | 0.4741 | nan | 0.8968 | 0.6080 | 0.2253 | 0.8553 | 0.9811 | 0.5738 | 0.4120 | 0.0890 | 0.8703 | nan | 0.6702 |
148
+ | 0.054 | 9.0 | 1260 | 0.1816 | 0.5683 | 0.7269 | 0.9579 | 0.9561 | 0.9579 | nan | 0.7935 | nan | 0.9590 | 0.6738 | 0.4404 | 0.9808 | 0.9897 | 0.5910 | 0.6971 | 0.1027 | 0.9240 | nan | 0.8444 | 0.0 | 0.4778 | nan | 0.8966 | 0.5923 | 0.4168 | 0.8501 | 0.9811 | 0.5584 | 0.4119 | 0.0945 | 0.8692 | nan | 0.6709 |
149
+ | 0.0473 | 9.14 | 1280 | 0.1840 | 0.5530 | 0.7471 | 0.9574 | 0.9555 | 0.9574 | nan | 0.7711 | nan | 0.9650 | 0.7135 | 0.4471 | 0.9531 | 0.9902 | 0.6218 | 0.9368 | 0.0686 | 0.9129 | nan | 0.8377 | 0.0 | 0.4911 | nan | 0.8965 | 0.6037 | 0.4203 | 0.8388 | 0.9814 | 0.5748 | 0.2224 | 0.0644 | 0.8679 | nan | 0.6750 |
150
+ | 0.0604 | 9.29 | 1300 | 0.1877 | 0.5664 | 0.7373 | 0.9583 | 0.9563 | 0.9583 | nan | 0.8333 | nan | 0.9539 | 0.6928 | 0.3648 | 0.9833 | 0.9906 | 0.6006 | 0.8414 | 0.0730 | 0.9285 | nan | 0.8474 | 0.0 | 0.4983 | nan | 0.8965 | 0.6032 | 0.3430 | 0.8495 | 0.9812 | 0.5706 | 0.4484 | 0.0691 | 0.8697 | nan | 0.6676 |
151
+ | 0.2052 | 9.43 | 1320 | 0.1833 | 0.5753 | 0.7403 | 0.9585 | 0.9566 | 0.9585 | nan | 0.8241 | nan | 0.9577 | 0.7241 | 0.3720 | 0.9807 | 0.9899 | 0.6108 | 0.7683 | 0.1283 | 0.9223 | nan | 0.8654 | 0.0 | 0.4915 | nan | 0.8975 | 0.6183 | 0.3246 | 0.8537 | 0.9810 | 0.5724 | 0.5167 | 0.1201 | 0.8683 | nan | 0.6596 |
152
+ | 0.0794 | 9.57 | 1340 | 0.1835 | 0.5720 | 0.7340 | 0.9581 | 0.9563 | 0.9581 | nan | 0.8222 | nan | 0.9542 | 0.7621 | 0.3317 | 0.9770 | 0.9892 | 0.5926 | 0.7219 | 0.1229 | 0.9310 | nan | 0.8690 | 0.0 | 0.5011 | nan | 0.8962 | 0.6305 | 0.2941 | 0.8536 | 0.9810 | 0.5654 | 0.5034 | 0.1141 | 0.8676 | nan | 0.6572 |
153
+ | 0.0966 | 9.71 | 1360 | 0.1877 | 0.5693 | 0.7166 | 0.9586 | 0.9566 | 0.9586 | nan | 0.7863 | nan | 0.9553 | 0.7381 | 0.2595 | 0.9823 | 0.9899 | 0.6014 | 0.7347 | 0.0739 | 0.9309 | nan | 0.8302 | 0.0 | 0.5298 | nan | 0.8963 | 0.6221 | 0.2357 | 0.8544 | 0.9812 | 0.5682 | 0.5260 | 0.0697 | 0.8698 | nan | 0.6781 |
154
+ | 0.0805 | 9.86 | 1380 | 0.1765 | 0.5455 | 0.7452 | 0.9574 | 0.9554 | 0.9574 | nan | 0.7991 | nan | 0.9557 | 0.6849 | 0.3489 | 0.9507 | 0.9900 | 0.6195 | 0.9795 | 0.0806 | 0.9311 | nan | 0.8571 | 0.0 | 0.5229 | nan | 0.8970 | 0.5978 | 0.3335 | 0.8322 | 0.9813 | 0.5744 | 0.1852 | 0.0756 | 0.8710 | nan | 0.6745 |
155
+ | 0.0419 | 10.0 | 1400 | 0.1882 | 0.5499 | 0.7349 | 0.9577 | 0.9558 | 0.9577 | nan | 0.8454 | nan | 0.9549 | 0.7200 | 0.2211 | 0.9789 | 0.9887 | 0.6013 | 0.8089 | 0.1297 | 0.9281 | nan | 0.9066 | 0.0 | 0.4878 | nan | 0.8954 | 0.6126 | 0.2073 | 0.8520 | 0.9809 | 0.5704 | 0.3866 | 0.1126 | 0.8700 | nan | 0.6229 |
156
+ | 0.1714 | 10.14 | 1420 | 0.1838 | 0.5510 | 0.7278 | 0.9576 | 0.9557 | 0.9576 | nan | 0.8569 | nan | 0.9554 | 0.7477 | 0.2377 | 0.9783 | 0.9895 | 0.6163 | 0.6092 | 0.1807 | 0.9179 | nan | 0.9166 | 0.0 | 0.4607 | nan | 0.8951 | 0.6243 | 0.2160 | 0.8549 | 0.9806 | 0.5776 | 0.3731 | 0.1552 | 0.8675 | nan | 0.6074 |
157
+ | 0.0795 | 10.29 | 1440 | 0.1866 | 0.5440 | 0.7295 | 0.9578 | 0.9559 | 0.9578 | nan | 0.8750 | nan | 0.9581 | 0.7375 | 0.2015 | 0.9755 | 0.9880 | 0.6140 | 0.7774 | 0.1123 | 0.9258 | nan | 0.8595 | 0.0 | 0.4424 | nan | 0.8965 | 0.6202 | 0.1856 | 0.8524 | 0.9811 | 0.5752 | 0.3529 | 0.0978 | 0.8701 | nan | 0.6532 |
158
+ | 0.0348 | 10.43 | 1460 | 0.1867 | 0.5486 | 0.7395 | 0.9579 | 0.9560 | 0.9579 | nan | 0.8633 | nan | 0.9506 | 0.7501 | 0.2099 | 0.9733 | 0.9900 | 0.6081 | 0.9429 | 0.0885 | 0.9333 | nan | 0.8248 | 0.0 | 0.4502 | nan | 0.8957 | 0.6245 | 0.1960 | 0.8516 | 0.9812 | 0.5741 | 0.3918 | 0.0792 | 0.8704 | nan | 0.6682 |
159
+ | 0.0578 | 10.57 | 1480 | 0.1868 | 0.5543 | 0.7316 | 0.9582 | 0.9564 | 0.9582 | nan | 0.8552 | nan | 0.9610 | 0.7244 | 0.2174 | 0.9804 | 0.9897 | 0.6061 | 0.8928 | 0.0879 | 0.9191 | nan | 0.8133 | 0.0 | 0.4578 | nan | 0.8976 | 0.6145 | 0.2036 | 0.8528 | 0.9813 | 0.5728 | 0.4518 | 0.0784 | 0.8702 | nan | 0.6703 |
160
+ | 0.2385 | 10.71 | 1500 | 0.1851 | 0.5531 | 0.7083 | 0.9585 | 0.9565 | 0.9585 | nan | 0.8342 | nan | 0.9580 | 0.7061 | 0.1815 | 0.9847 | 0.9923 | 0.6002 | 0.7509 | 0.0325 | 0.9187 | nan | 0.8321 | 0.0 | 0.5004 | nan | 0.8975 | 0.6034 | 0.1746 | 0.8529 | 0.9812 | 0.5684 | 0.4794 | 0.0320 | 0.8697 | nan | 0.6779 |
161
+ | 0.046 | 10.86 | 1520 | 0.1803 | 0.5475 | 0.7302 | 0.9584 | 0.9565 | 0.9584 | nan | 0.8064 | nan | 0.9581 | 0.7656 | 0.1869 | 0.9715 | 0.9896 | 0.6057 | 0.8418 | 0.1060 | 0.9257 | nan | 0.8753 | 0.0 | 0.4911 | nan | 0.8971 | 0.6233 | 0.1751 | 0.8508 | 0.9819 | 0.5695 | 0.3504 | 0.1006 | 0.8698 | nan | 0.6600 |
162
+ | 0.1985 | 11.0 | 1540 | 0.1761 | 0.5477 | 0.7125 | 0.9588 | 0.9568 | 0.9588 | nan | 0.7920 | nan | 0.9523 | 0.7231 | 0.1202 | 0.9788 | 0.9915 | 0.6154 | 0.7705 | 0.0933 | 0.9303 | nan | 0.8700 | 0.0 | 0.5199 | nan | 0.8974 | 0.6080 | 0.1190 | 0.8543 | 0.9815 | 0.5742 | 0.3903 | 0.0899 | 0.8712 | nan | 0.6663 |
163
+ | 0.0683 | 11.14 | 1560 | 0.1807 | 0.5457 | 0.7116 | 0.9588 | 0.9569 | 0.9588 | nan | 0.8008 | nan | 0.9560 | 0.7278 | 0.1150 | 0.9788 | 0.9906 | 0.6164 | 0.7668 | 0.0589 | 0.9284 | nan | 0.8879 | 0.0 | 0.5113 | nan | 0.8970 | 0.6137 | 0.1133 | 0.8547 | 0.9819 | 0.5749 | 0.4123 | 0.0575 | 0.8718 | nan | 0.6605 |
164
+ | 0.0421 | 11.29 | 1580 | 0.1862 | 0.5466 | 0.7064 | 0.9588 | 0.9569 | 0.9588 | nan | 0.8052 | nan | 0.9539 | 0.7511 | 0.1201 | 0.9811 | 0.9913 | 0.6102 | 0.6662 | 0.0766 | 0.9278 | nan | 0.8870 | 0.0 | 0.5101 | nan | 0.8973 | 0.6257 | 0.1169 | 0.8536 | 0.9816 | 0.5768 | 0.3889 | 0.0747 | 0.8712 | nan | 0.6627 |
165
+ | 0.0579 | 11.43 | 1600 | 0.1808 | 0.5412 | 0.7099 | 0.9584 | 0.9566 | 0.9584 | nan | 0.7950 | nan | 0.9569 | 0.7250 | 0.1381 | 0.9738 | 0.9893 | 0.6240 | 0.7024 | 0.0957 | 0.9294 | nan | 0.8795 | 0.0 | 0.5032 | nan | 0.8972 | 0.6136 | 0.1361 | 0.8517 | 0.9816 | 0.5776 | 0.3039 | 0.0907 | 0.8705 | nan | 0.6678 |
166
+ | 0.0551 | 11.57 | 1620 | 0.1873 | 0.5450 | 0.7164 | 0.9585 | 0.9567 | 0.9585 | nan | 0.7742 | nan | 0.9533 | 0.7367 | 0.1711 | 0.9740 | 0.9908 | 0.6095 | 0.7184 | 0.1585 | 0.9290 | nan | 0.8645 | 0.0 | 0.5090 | nan | 0.8983 | 0.6213 | 0.1668 | 0.8478 | 0.9813 | 0.5741 | 0.2571 | 0.1458 | 0.8709 | nan | 0.6675 |
167
+ | 0.0533 | 11.71 | 1640 | 0.1911 | 0.5439 | 0.7376 | 0.9572 | 0.9553 | 0.9572 | nan | 0.7682 | nan | 0.9484 | 0.7345 | 0.2529 | 0.9567 | 0.9890 | 0.6042 | 0.9159 | 0.1597 | 0.9415 | nan | 0.8422 | 0.0 | 0.5030 | nan | 0.8954 | 0.6227 | 0.2361 | 0.8364 | 0.9813 | 0.5731 | 0.1944 | 0.1445 | 0.8676 | nan | 0.6728 |
168
+ | 0.0528 | 11.86 | 1660 | 0.1890 | 0.5455 | 0.7351 | 0.9576 | 0.9558 | 0.9576 | nan | 0.7702 | nan | 0.9627 | 0.7145 | 0.3020 | 0.9580 | 0.9895 | 0.6117 | 0.8719 | 0.1478 | 0.9188 | nan | 0.8389 | 0.0 | 0.4977 | nan | 0.8974 | 0.6152 | 0.2616 | 0.8390 | 0.9812 | 0.5761 | 0.2025 | 0.1330 | 0.8687 | nan | 0.6737 |
169
+ | 0.0706 | 12.0 | 1680 | 0.1830 | 0.5611 | 0.7211 | 0.9587 | 0.9567 | 0.9587 | nan | 0.7726 | nan | 0.9630 | 0.7188 | 0.3242 | 0.9759 | 0.9915 | 0.6071 | 0.6970 | 0.0995 | 0.9133 | nan | 0.8697 | 0.0 | 0.5080 | nan | 0.8971 | 0.6137 | 0.2967 | 0.8541 | 0.9815 | 0.5762 | 0.3736 | 0.0944 | 0.8679 | nan | 0.6702 |
170
+ | 0.0694 | 12.14 | 1700 | 0.1806 | 0.5702 | 0.7321 | 0.9590 | 0.9570 | 0.9590 | nan | 0.7979 | nan | 0.9517 | 0.6927 | 0.3661 | 0.9811 | 0.9913 | 0.6037 | 0.7097 | 0.1588 | 0.9324 | nan | 0.8680 | 0.0 | 0.4953 | nan | 0.8977 | 0.6057 | 0.3389 | 0.8534 | 0.9818 | 0.5746 | 0.4055 | 0.1536 | 0.8687 | nan | 0.6670 |
171
+ | 0.0609 | 12.29 | 1720 | 0.1856 | 0.5678 | 0.7252 | 0.9593 | 0.9574 | 0.9593 | nan | 0.8046 | nan | 0.9607 | 0.7040 | 0.2983 | 0.9823 | 0.9900 | 0.6059 | 0.7013 | 0.2144 | 0.9232 | nan | 0.7922 | 0.0 | 0.4624 | nan | 0.9004 | 0.6103 | 0.2753 | 0.8540 | 0.9817 | 0.5750 | 0.4149 | 0.1969 | 0.8700 | nan | 0.6729 |
172
+ | 0.1335 | 12.43 | 1740 | 0.1837 | 0.5647 | 0.7292 | 0.9591 | 0.9572 | 0.9591 | nan | 0.7984 | nan | 0.9583 | 0.6948 | 0.2250 | 0.9787 | 0.9909 | 0.6168 | 0.7534 | 0.2313 | 0.9207 | nan | 0.8526 | 0.0 | 0.4713 | nan | 0.8998 | 0.6012 | 0.2186 | 0.8537 | 0.9814 | 0.5771 | 0.4192 | 0.2116 | 0.8689 | nan | 0.6740 |
173
+ | 0.0375 | 12.57 | 1760 | 0.1906 | 0.5654 | 0.7419 | 0.9589 | 0.9570 | 0.9589 | nan | 0.8153 | nan | 0.9575 | 0.7452 | 0.2483 | 0.9807 | 0.9887 | 0.6132 | 0.7196 | 0.2723 | 0.9237 | nan | 0.8969 | 0.0 | 0.4743 | nan | 0.8995 | 0.6293 | 0.2141 | 0.8528 | 0.9814 | 0.5725 | 0.4028 | 0.2441 | 0.8689 | nan | 0.6455 |
174
+ | 0.0612 | 12.71 | 1780 | 0.1847 | 0.5708 | 0.7425 | 0.9595 | 0.9576 | 0.9595 | nan | 0.8030 | nan | 0.9578 | 0.7295 | 0.2694 | 0.9784 | 0.9901 | 0.6162 | 0.7246 | 0.2880 | 0.9231 | nan | 0.8869 | 0.0 | 0.4965 | nan | 0.9008 | 0.6240 | 0.2290 | 0.8533 | 0.9816 | 0.5753 | 0.4027 | 0.2625 | 0.8701 | nan | 0.6536 |
175
+ | 0.0512 | 12.86 | 1800 | 0.1900 | 0.5783 | 0.7518 | 0.9599 | 0.9581 | 0.9599 | nan | 0.8026 | nan | 0.9537 | 0.7772 | 0.2533 | 0.9811 | 0.9903 | 0.5993 | 0.7242 | 0.3762 | 0.9275 | nan | 0.8849 | 0.0 | 0.4906 | nan | 0.9018 | 0.6425 | 0.2174 | 0.8534 | 0.9816 | 0.5722 | 0.4155 | 0.3435 | 0.8699 | nan | 0.6512 |
176
+ | 0.0421 | 13.0 | 1820 | 0.1928 | 0.5565 | 0.7454 | 0.9588 | 0.9569 | 0.9588 | nan | 0.7985 | nan | 0.9584 | 0.7653 | 0.2222 | 0.9757 | 0.9895 | 0.6037 | 0.8718 | 0.2050 | 0.9229 | nan | 0.8859 | 0.0 | 0.4776 | nan | 0.8988 | 0.6367 | 0.1952 | 0.8498 | 0.9817 | 0.5728 | 0.3542 | 0.1882 | 0.8698 | nan | 0.6537 |
177
+ | 0.1498 | 13.14 | 1840 | 0.1900 | 0.5467 | 0.7395 | 0.9586 | 0.9566 | 0.9586 | nan | 0.7903 | nan | 0.9566 | 0.7691 | 0.2179 | 0.9633 | 0.9907 | 0.6039 | 0.8954 | 0.1766 | 0.9261 | nan | 0.8443 | 0.0 | 0.4808 | nan | 0.8988 | 0.6351 | 0.2027 | 0.8421 | 0.9820 | 0.5732 | 0.2362 | 0.1653 | 0.8706 | nan | 0.6733 |
178
+ | 0.032 | 13.29 | 1860 | 0.1883 | 0.5640 | 0.7394 | 0.9592 | 0.9573 | 0.9592 | nan | 0.8135 | nan | 0.9604 | 0.7505 | 0.2539 | 0.9772 | 0.9903 | 0.6071 | 0.7972 | 0.2013 | 0.9197 | nan | 0.8625 | 0.0 | 0.4643 | nan | 0.8988 | 0.6312 | 0.2285 | 0.8540 | 0.9820 | 0.5745 | 0.4207 | 0.1888 | 0.8700 | nan | 0.6551 |
179
+ | 0.0545 | 13.43 | 1880 | 0.1856 | 0.5699 | 0.7406 | 0.9594 | 0.9575 | 0.9594 | nan | 0.8169 | nan | 0.9538 | 0.7324 | 0.2720 | 0.9800 | 0.9908 | 0.6121 | 0.7420 | 0.2558 | 0.9277 | nan | 0.8634 | 0.0 | 0.4603 | nan | 0.8992 | 0.6245 | 0.2504 | 0.8547 | 0.9820 | 0.5754 | 0.4274 | 0.2403 | 0.8701 | nan | 0.6542 |
180
+ | 0.0521 | 13.57 | 1900 | 0.1834 | 0.5655 | 0.7368 | 0.9592 | 0.9573 | 0.9592 | nan | 0.8277 | nan | 0.9605 | 0.7419 | 0.2488 | 0.9782 | 0.9904 | 0.6064 | 0.7633 | 0.2224 | 0.9188 | nan | 0.8459 | 0.0 | 0.4414 | nan | 0.8994 | 0.6267 | 0.2323 | 0.8547 | 0.9820 | 0.5743 | 0.4367 | 0.2055 | 0.8692 | nan | 0.6635 |
181
+ | 0.1503 | 13.71 | 1920 | 0.1845 | 0.5674 | 0.7266 | 0.9592 | 0.9572 | 0.9592 | nan | 0.8171 | nan | 0.9575 | 0.7043 | 0.2860 | 0.9817 | 0.9916 | 0.6048 | 0.6717 | 0.2105 | 0.9206 | nan | 0.8468 | 0.0 | 0.4544 | nan | 0.8992 | 0.6103 | 0.2694 | 0.8541 | 0.9818 | 0.5737 | 0.4288 | 0.1979 | 0.8689 | nan | 0.6699 |
182
+ | 0.0449 | 13.86 | 1940 | 0.1885 | 0.5601 | 0.7343 | 0.9586 | 0.9567 | 0.9586 | nan | 0.8255 | nan | 0.9510 | 0.7259 | 0.2683 | 0.9801 | 0.9906 | 0.6158 | 0.7628 | 0.1659 | 0.9305 | nan | 0.8614 | 0.0 | 0.4431 | nan | 0.8972 | 0.6194 | 0.2425 | 0.8534 | 0.9818 | 0.5760 | 0.4287 | 0.1545 | 0.8694 | nan | 0.6555 |
183
+ | 0.0619 | 14.0 | 1960 | 0.1878 | 0.5608 | 0.7346 | 0.9589 | 0.9569 | 0.9589 | nan | 0.8150 | nan | 0.9573 | 0.7383 | 0.2705 | 0.9773 | 0.9907 | 0.6137 | 0.7896 | 0.1584 | 0.9223 | nan | 0.8472 | 0.0 | 0.4424 | nan | 0.8982 | 0.6246 | 0.2471 | 0.8541 | 0.9819 | 0.5771 | 0.4263 | 0.1462 | 0.8697 | nan | 0.6616 |
184
+ | 0.0495 | 14.14 | 1980 | 0.1926 | 0.5598 | 0.7293 | 0.9588 | 0.9568 | 0.9588 | nan | 0.8132 | nan | 0.9576 | 0.7281 | 0.2642 | 0.9801 | 0.9895 | 0.6145 | 0.7367 | 0.1704 | 0.9250 | nan | 0.8428 | 0.0 | 0.4416 | nan | 0.8982 | 0.6215 | 0.2334 | 0.8536 | 0.9818 | 0.5755 | 0.4217 | 0.1557 | 0.8697 | nan | 0.6649 |
185
+ | 0.0813 | 14.29 | 2000 | 0.1911 | 0.5633 | 0.7375 | 0.9589 | 0.9570 | 0.9589 | nan | 0.8186 | nan | 0.9536 | 0.7235 | 0.2788 | 0.9793 | 0.9912 | 0.6159 | 0.7638 | 0.2088 | 0.9249 | nan | 0.8545 | 0.0 | 0.4412 | nan | 0.8986 | 0.6180 | 0.2555 | 0.8533 | 0.9816 | 0.5771 | 0.4120 | 0.1931 | 0.8697 | nan | 0.6591 |
186
+ | 0.0681 | 14.43 | 2020 | 0.1850 | 0.5607 | 0.7321 | 0.9589 | 0.9570 | 0.9589 | nan | 0.8106 | nan | 0.9583 | 0.7291 | 0.2827 | 0.9769 | 0.9908 | 0.6119 | 0.7725 | 0.1647 | 0.9217 | nan | 0.8345 | 0.0 | 0.4432 | nan | 0.8985 | 0.6222 | 0.2570 | 0.8538 | 0.9818 | 0.5770 | 0.4074 | 0.1520 | 0.8697 | nan | 0.6657 |
187
+ | 0.0565 | 14.57 | 2040 | 0.1868 | 0.5621 | 0.7321 | 0.9590 | 0.9570 | 0.9590 | nan | 0.8035 | nan | 0.9581 | 0.7202 | 0.2801 | 0.9772 | 0.9904 | 0.6163 | 0.7766 | 0.1741 | 0.9236 | nan | 0.8329 | 0.0 | 0.4519 | nan | 0.8986 | 0.6181 | 0.2518 | 0.8536 | 0.9818 | 0.5776 | 0.4129 | 0.1602 | 0.8699 | nan | 0.6686 |
188
+ | 0.0567 | 14.71 | 2060 | 0.1863 | 0.5545 | 0.7233 | 0.9587 | 0.9568 | 0.9587 | nan | 0.8040 | nan | 0.9577 | 0.7163 | 0.2471 | 0.9765 | 0.9911 | 0.6139 | 0.7941 | 0.0968 | 0.9234 | nan | 0.8356 | 0.0 | 0.4536 | nan | 0.8973 | 0.6149 | 0.2315 | 0.8535 | 0.9819 | 0.5780 | 0.4113 | 0.0924 | 0.8695 | nan | 0.6704 |
189
+ | 0.0714 | 14.86 | 2080 | 0.1896 | 0.5643 | 0.7355 | 0.9591 | 0.9572 | 0.9591 | nan | 0.8097 | nan | 0.9567 | 0.7241 | 0.2878 | 0.9790 | 0.9906 | 0.6104 | 0.7773 | 0.1923 | 0.9248 | nan | 0.8379 | 0.0 | 0.4510 | nan | 0.8988 | 0.6205 | 0.2588 | 0.8531 | 0.9819 | 0.5768 | 0.4142 | 0.1786 | 0.8698 | nan | 0.6675 |
190
+ | 0.0529 | 15.0 | 2100 | 0.1877 | 0.5611 | 0.7306 | 0.9590 | 0.9571 | 0.9590 | nan | 0.7986 | nan | 0.9573 | 0.7348 | 0.2613 | 0.9777 | 0.9905 | 0.6139 | 0.7790 | 0.1663 | 0.9244 | nan | 0.8332 | 0.0 | 0.4507 | nan | 0.8984 | 0.6241 | 0.2362 | 0.8536 | 0.9819 | 0.5775 | 0.4149 | 0.1550 | 0.8699 | nan | 0.6710 |
191
+
192
+
193
+ ### Framework versions
194
+
195
+ - Transformers 4.33.2
196
+ - Pytorch 2.0.1
197
+ - Datasets 3.0.0
198
+ - Tokenizers 0.13.3
config.json ADDED
@@ -0,0 +1,102 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "nvidia/mit-b3",
3
+ "architectures": [
4
+ "SegformerForSemanticSegmentation"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.0,
7
+ "classifier_dropout_prob": 0.1,
8
+ "decoder_hidden_size": 768,
9
+ "depths": [
10
+ 3,
11
+ 4,
12
+ 18,
13
+ 3
14
+ ],
15
+ "downsampling_rates": [
16
+ 1,
17
+ 4,
18
+ 8,
19
+ 16
20
+ ],
21
+ "drop_path_rate": 0.1,
22
+ "hidden_act": "gelu",
23
+ "hidden_dropout_prob": 0.0,
24
+ "hidden_sizes": [
25
+ 64,
26
+ 128,
27
+ 320,
28
+ 512
29
+ ],
30
+ "id2label": {
31
+ "0": "unlabeled",
32
+ "1": "object",
33
+ "2": "road",
34
+ "3": "plant",
35
+ "4": "iron",
36
+ "5": "wood",
37
+ "6": "wall",
38
+ "7": "raw_road",
39
+ "8": "bottom_wall",
40
+ "9": "roof",
41
+ "10": "grass",
42
+ "11": "mulch",
43
+ "12": "person",
44
+ "13": "Tomato"
45
+ },
46
+ "image_size": 224,
47
+ "initializer_range": 0.02,
48
+ "label2id": {
49
+ "Tomato": 13,
50
+ "bottom_wall": 8,
51
+ "grass": 10,
52
+ "iron": 4,
53
+ "mulch": 11,
54
+ "object": 1,
55
+ "person": 12,
56
+ "plant": 3,
57
+ "raw_road": 7,
58
+ "road": 2,
59
+ "roof": 9,
60
+ "unlabeled": 0,
61
+ "wall": 6,
62
+ "wood": 5
63
+ },
64
+ "layer_norm_eps": 1e-06,
65
+ "mlp_ratios": [
66
+ 4,
67
+ 4,
68
+ 4,
69
+ 4
70
+ ],
71
+ "model_type": "segformer",
72
+ "num_attention_heads": [
73
+ 1,
74
+ 2,
75
+ 5,
76
+ 8
77
+ ],
78
+ "num_channels": 3,
79
+ "num_encoder_blocks": 4,
80
+ "patch_sizes": [
81
+ 7,
82
+ 3,
83
+ 3,
84
+ 3
85
+ ],
86
+ "reshape_last_stage": true,
87
+ "semantic_loss_ignore_index": 255,
88
+ "sr_ratios": [
89
+ 8,
90
+ 4,
91
+ 2,
92
+ 1
93
+ ],
94
+ "strides": [
95
+ 4,
96
+ 2,
97
+ 2,
98
+ 2
99
+ ],
100
+ "torch_dtype": "float32",
101
+ "transformers_version": "4.33.2"
102
+ }
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7d430caffca63fba0ce68b4664ed0d6481386a8effc149e4f48652b2962de858
3
+ size 189162141
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a66f0120fdbdd2b611f0a5aee01eecfb78f727d10bd601ecdda78ef21030cdd1
3
+ size 4091