Godouche commited on
Commit
c1f2084
·
verified ·
1 Parent(s): 9fa4072

End of training

Browse files
Files changed (5) hide show
  1. README.md +171 -0
  2. config.json +143 -0
  3. model.safetensors +3 -0
  4. preprocessor_config.json +23 -0
  5. training_args.bin +3 -0
README.md ADDED
@@ -0,0 +1,171 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ base_model: pretrained_model_name
4
+ tags:
5
+ - vision
6
+ - image-segmentation
7
+ - generated_from_trainer
8
+ model-index:
9
+ - name: segformer-b0-finetuned-segments-sidewalk-2
10
+ results: []
11
+ ---
12
+
13
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
14
+ should probably proofread and complete it, then remove this comment. -->
15
+
16
+ # segformer-b0-finetuned-segments-sidewalk-2
17
+
18
+ This model is a fine-tuned version of [pretrained_model_name](https://huggingface.co/pretrained_model_name) on the segments/sidewalk-semantic dataset.
19
+ It achieves the following results on the evaluation set:
20
+ - Loss: 0.9318
21
+ - Mean Iou: 0.1574
22
+ - Mean Accuracy: 0.1994
23
+ - Overall Accuracy: 0.7668
24
+ - Accuracy Unlabeled: nan
25
+ - Accuracy Flat-road: 0.8689
26
+ - Accuracy Flat-sidewalk: 0.9484
27
+ - Accuracy Flat-crosswalk: 0.0
28
+ - Accuracy Flat-cyclinglane: 0.5015
29
+ - Accuracy Flat-parkingdriveway: 0.0118
30
+ - Accuracy Flat-railtrack: 0.0
31
+ - Accuracy Flat-curb: 0.0
32
+ - Accuracy Human-person: 0.0
33
+ - Accuracy Human-rider: 0.0
34
+ - Accuracy Vehicle-car: 0.8879
35
+ - Accuracy Vehicle-truck: 0.0
36
+ - Accuracy Vehicle-bus: 0.0
37
+ - Accuracy Vehicle-tramtrain: 0.0
38
+ - Accuracy Vehicle-motorcycle: 0.0
39
+ - Accuracy Vehicle-bicycle: 0.0
40
+ - Accuracy Vehicle-caravan: 0.0
41
+ - Accuracy Vehicle-cartrailer: 0.0
42
+ - Accuracy Construction-building: 0.8895
43
+ - Accuracy Construction-door: 0.0
44
+ - Accuracy Construction-wall: 0.0
45
+ - Accuracy Construction-fenceguardrail: 0.0
46
+ - Accuracy Construction-bridge: 0.0
47
+ - Accuracy Construction-tunnel: 0.0
48
+ - Accuracy Construction-stairs: 0.0
49
+ - Accuracy Object-pole: 0.0
50
+ - Accuracy Object-trafficsign: 0.0
51
+ - Accuracy Object-trafficlight: 0.0
52
+ - Accuracy Nature-vegetation: 0.9372
53
+ - Accuracy Nature-terrain: 0.8070
54
+ - Accuracy Sky: 0.9258
55
+ - Accuracy Void-ground: 0.0
56
+ - Accuracy Void-dynamic: 0.0
57
+ - Accuracy Void-static: 0.0
58
+ - Accuracy Void-unclear: 0.0
59
+ - Iou Unlabeled: nan
60
+ - Iou Flat-road: 0.5983
61
+ - Iou Flat-sidewalk: 0.7913
62
+ - Iou Flat-crosswalk: 0.0
63
+ - Iou Flat-cyclinglane: 0.4760
64
+ - Iou Flat-parkingdriveway: 0.0117
65
+ - Iou Flat-railtrack: 0.0
66
+ - Iou Flat-curb: 0.0
67
+ - Iou Human-person: 0.0
68
+ - Iou Human-rider: 0.0
69
+ - Iou Vehicle-car: 0.6842
70
+ - Iou Vehicle-truck: 0.0
71
+ - Iou Vehicle-bus: 0.0
72
+ - Iou Vehicle-tramtrain: 0.0
73
+ - Iou Vehicle-motorcycle: 0.0
74
+ - Iou Vehicle-bicycle: 0.0
75
+ - Iou Vehicle-caravan: 0.0
76
+ - Iou Vehicle-cartrailer: 0.0
77
+ - Iou Construction-building: 0.5394
78
+ - Iou Construction-door: 0.0
79
+ - Iou Construction-wall: 0.0
80
+ - Iou Construction-fenceguardrail: 0.0
81
+ - Iou Construction-bridge: 0.0
82
+ - Iou Construction-tunnel: 0.0
83
+ - Iou Construction-stairs: 0.0
84
+ - Iou Object-pole: 0.0
85
+ - Iou Object-trafficsign: 0.0
86
+ - Iou Object-trafficlight: 0.0
87
+ - Iou Nature-vegetation: 0.7925
88
+ - Iou Nature-terrain: 0.6357
89
+ - Iou Sky: 0.8218
90
+ - Iou Void-ground: 0.0
91
+ - Iou Void-dynamic: 0.0
92
+ - Iou Void-static: 0.0
93
+ - Iou Void-unclear: 0.0
94
+
95
+ ## Model description
96
+
97
+ More information needed
98
+
99
+ ## Intended uses & limitations
100
+
101
+ More information needed
102
+
103
+ ## Training and evaluation data
104
+
105
+ More information needed
106
+
107
+ ## Training procedure
108
+
109
+ ### Training hyperparameters
110
+
111
+ The following hyperparameters were used during training:
112
+ - learning_rate: 6e-05
113
+ - train_batch_size: 2
114
+ - eval_batch_size: 2
115
+ - seed: 42
116
+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
117
+ - lr_scheduler_type: linear
118
+ - num_epochs: 2
119
+
120
+ ### Training results
121
+
122
+ | Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Unlabeled | Accuracy Flat-road | Accuracy Flat-sidewalk | Accuracy Flat-crosswalk | Accuracy Flat-cyclinglane | Accuracy Flat-parkingdriveway | Accuracy Flat-railtrack | Accuracy Flat-curb | Accuracy Human-person | Accuracy Human-rider | Accuracy Vehicle-car | Accuracy Vehicle-truck | Accuracy Vehicle-bus | Accuracy Vehicle-tramtrain | Accuracy Vehicle-motorcycle | Accuracy Vehicle-bicycle | Accuracy Vehicle-caravan | Accuracy Vehicle-cartrailer | Accuracy Construction-building | Accuracy Construction-door | Accuracy Construction-wall | Accuracy Construction-fenceguardrail | Accuracy Construction-bridge | Accuracy Construction-tunnel | Accuracy Construction-stairs | Accuracy Object-pole | Accuracy Object-trafficsign | Accuracy Object-trafficlight | Accuracy Nature-vegetation | Accuracy Nature-terrain | Accuracy Sky | Accuracy Void-ground | Accuracy Void-dynamic | Accuracy Void-static | Accuracy Void-unclear | Iou Unlabeled | Iou Flat-road | Iou Flat-sidewalk | Iou Flat-crosswalk | Iou Flat-cyclinglane | Iou Flat-parkingdriveway | Iou Flat-railtrack | Iou Flat-curb | Iou Human-person | Iou Human-rider | Iou Vehicle-car | Iou Vehicle-truck | Iou Vehicle-bus | Iou Vehicle-tramtrain | Iou Vehicle-motorcycle | Iou Vehicle-bicycle | Iou Vehicle-caravan | Iou Vehicle-cartrailer | Iou Construction-building | Iou Construction-door | Iou Construction-wall | Iou Construction-fenceguardrail | Iou Construction-bridge | Iou Construction-tunnel | Iou Construction-stairs | Iou Object-pole | Iou Object-trafficsign | Iou Object-trafficlight | Iou Nature-vegetation | Iou Nature-terrain | Iou Sky | Iou Void-ground | Iou Void-dynamic | Iou Void-static | Iou Void-unclear |
123
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:------------------:|:------------------:|:----------------------:|:-----------------------:|:-------------------------:|:-----------------------------:|:-----------------------:|:------------------:|:---------------------:|:--------------------:|:--------------------:|:----------------------:|:--------------------:|:--------------------------:|:---------------------------:|:------------------------:|:------------------------:|:---------------------------:|:------------------------------:|:--------------------------:|:--------------------------:|:------------------------------------:|:----------------------------:|:----------------------------:|:----------------------------:|:--------------------:|:---------------------------:|:----------------------------:|:--------------------------:|:-----------------------:|:------------:|:--------------------:|:---------------------:|:--------------------:|:---------------------:|:-------------:|:-------------:|:-----------------:|:------------------:|:--------------------:|:------------------------:|:------------------:|:-------------:|:----------------:|:---------------:|:---------------:|:-----------------:|:---------------:|:---------------------:|:----------------------:|:-------------------:|:-------------------:|:----------------------:|:-------------------------:|:---------------------:|:---------------------:|:-------------------------------:|:-----------------------:|:-----------------------:|:-----------------------:|:---------------:|:----------------------:|:-----------------------:|:---------------------:|:------------------:|:-------:|:---------------:|:----------------:|:---------------:|:----------------:|
124
+ | 3.0121 | 0.05 | 20 | 3.2051 | 0.0715 | 0.1161 | 0.5499 | nan | 0.2271 | 0.8331 | 0.0 | 0.0034 | 0.0152 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6998 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8031 | 0.0 | 0.0008 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9122 | 0.0579 | 0.3930 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.1879 | 0.5784 | 0.0 | 0.0034 | 0.0132 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4207 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2923 | 0.0 | 0.0008 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6196 | 0.0429 | 0.3425 | 0.0 | 0.0 | 0.0000 | 0.0 |
125
+ | 2.4574 | 0.1 | 40 | 2.3972 | 0.0898 | 0.1343 | 0.5989 | nan | 0.2409 | 0.9266 | 0.0 | 0.0002 | 0.0018 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8717 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8243 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8739 | 0.3707 | 0.4554 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.1989 | 0.5723 | 0.0 | 0.0002 | 0.0018 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4603 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4150 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6861 | 0.2795 | 0.4398 | 0.0 | 0.0 | 0.0 | 0.0 |
126
+ | 2.2526 | 0.15 | 60 | 2.1035 | 0.1068 | 0.1532 | 0.6450 | nan | 0.5346 | 0.9003 | 0.0 | 0.0 | 0.0009 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8713 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8382 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9055 | 0.4196 | 0.7392 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.3832 | 0.6253 | 0.0 | 0.0 | 0.0009 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4631 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4563 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7142 | 0.3137 | 0.6760 | 0.0 | 0.0 | 0.0 | 0.0 |
127
+ | 2.0063 | 0.2 | 80 | 1.9647 | 0.1103 | 0.1557 | 0.6617 | nan | 0.6366 | 0.9038 | 0.0 | 0.0004 | 0.0002 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7976 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8720 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9323 | 0.3499 | 0.8013 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.4323 | 0.6691 | 0.0 | 0.0004 | 0.0002 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5189 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4518 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7048 | 0.2656 | 0.7066 | 0.0 | 0.0 | 0.0 | 0.0 |
128
+ | 1.8506 | 0.25 | 100 | 1.7593 | 0.1193 | 0.1664 | 0.6793 | nan | 0.7330 | 0.8892 | 0.0 | 0.0009 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8503 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8105 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9473 | 0.5456 | 0.8795 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.4502 | 0.6776 | 0.0 | 0.0009 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5525 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4805 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7323 | 0.4208 | 0.7421 | 0.0 | 0.0 | 0.0 | 0.0 |
129
+ | 1.5607 | 0.3 | 120 | 1.6274 | 0.1239 | 0.1706 | 0.6869 | nan | 0.7258 | 0.8926 | 0.0 | 0.0207 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8619 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8674 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9326 | 0.6165 | 0.8834 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.4536 | 0.6895 | 0.0 | 0.0207 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5639 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4743 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7454 | 0.4945 | 0.7712 | 0.0 | 0.0 | 0.0 | 0.0 |
130
+ | 1.306 | 0.35 | 140 | 1.5786 | 0.1247 | 0.1716 | 0.6887 | nan | 0.7598 | 0.8869 | 0.0 | 0.0086 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8176 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8673 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9306 | 0.6645 | 0.8976 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.4370 | 0.7152 | 0.0 | 0.0086 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5606 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4595 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7578 | 0.5428 | 0.7580 | 0.0 | 0.0 | 0.0 | 0.0 |
131
+ | 1.575 | 0.4 | 160 | 1.5082 | 0.1288 | 0.1752 | 0.6996 | nan | 0.7417 | 0.9080 | 0.0 | 0.0709 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7931 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8809 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9249 | 0.7570 | 0.8812 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5026 | 0.6995 | 0.0 | 0.0708 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5966 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4679 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7603 | 0.4979 | 0.7831 | 0.0 | 0.0 | 0.0 | 0.0 |
132
+ | 1.6042 | 0.45 | 180 | 1.4727 | 0.1287 | 0.1787 | 0.6995 | nan | 0.8500 | 0.8738 | 0.0 | 0.0384 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8816 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8469 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9079 | 0.7637 | 0.9126 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.4520 | 0.7393 | 0.0 | 0.0384 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5698 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4946 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7624 | 0.5407 | 0.7774 | 0.0 | 0.0 | 0.0 | 0.0 |
133
+ | 1.4266 | 0.5 | 200 | 1.3875 | 0.1306 | 0.1762 | 0.7031 | nan | 0.7264 | 0.9328 | 0.0 | 0.0343 | 0.0003 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8636 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8814 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9016 | 0.7596 | 0.8893 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5032 | 0.6913 | 0.0 | 0.0343 | 0.0003 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6075 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4831 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7766 | 0.5517 | 0.7924 | 0.0 | 0.0 | 0.0 | 0.0 |
134
+ | 2.1122 | 0.55 | 220 | 1.3270 | 0.1328 | 0.1805 | 0.7105 | nan | 0.8744 | 0.8741 | 0.0 | 0.1523 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8563 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7965 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9594 | 0.7025 | 0.9218 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.4650 | 0.7567 | 0.0 | 0.1523 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6124 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5071 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7412 | 0.5084 | 0.7720 | 0.0 | 0.0 | 0.0 | 0.0 |
135
+ | 1.3171 | 0.6 | 240 | 1.2920 | 0.1391 | 0.1886 | 0.7254 | nan | 0.7889 | 0.9304 | 0.0 | 0.3131 | 0.0003 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9044 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8646 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8537 | 0.8551 | 0.9024 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5584 | 0.7367 | 0.0 | 0.3089 | 0.0003 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5828 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5003 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7534 | 0.5025 | 0.7871 | 0.0 | 0.0 | 0.0 | 0.0 |
136
+ | 1.7291 | 0.65 | 260 | 1.2315 | 0.1451 | 0.1894 | 0.7364 | nan | 0.8327 | 0.9268 | 0.0 | 0.3435 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8411 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8883 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9039 | 0.8075 | 0.8963 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5462 | 0.7501 | 0.0 | 0.3407 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6396 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4953 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7818 | 0.5866 | 0.7929 | 0.0 | 0.0 | 0.0 | 0.0 |
137
+ | 1.4373 | 0.7 | 280 | 1.1735 | 0.1435 | 0.1888 | 0.7379 | nan | 0.8262 | 0.9417 | 0.0 | 0.3482 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9282 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8520 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9055 | 0.7118 | 0.9042 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5570 | 0.7486 | 0.0 | 0.3453 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5719 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5217 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7796 | 0.5634 | 0.7926 | 0.0 | 0.0 | 0.0 | 0.0 |
138
+ | 1.3842 | 0.75 | 300 | 1.1702 | 0.1466 | 0.1923 | 0.7440 | nan | 0.8228 | 0.9429 | 0.0 | 0.4033 | 0.0003 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8944 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8752 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8953 | 0.8006 | 0.9032 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5734 | 0.7599 | 0.0 | 0.3954 | 0.0003 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6037 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5149 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7754 | 0.5717 | 0.7900 | 0.0 | 0.0 | 0.0 | 0.0 |
139
+ | 1.8302 | 0.8 | 320 | 1.1554 | 0.1474 | 0.1912 | 0.7443 | nan | 0.8402 | 0.9093 | 0.0 | 0.4951 | 0.0003 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8403 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8897 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9543 | 0.6583 | 0.9150 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5629 | 0.7798 | 0.0 | 0.4551 | 0.0003 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6264 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4946 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7540 | 0.5530 | 0.7861 | 0.0 | 0.0 | 0.0 | 0.0 |
140
+ | 1.0734 | 0.85 | 340 | 1.1194 | 0.1497 | 0.1952 | 0.7499 | nan | 0.8367 | 0.9363 | 0.0 | 0.4375 | 0.0002 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8998 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8566 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9168 | 0.8314 | 0.9208 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5623 | 0.7669 | 0.0 | 0.4207 | 0.0002 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6308 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5362 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7792 | 0.5933 | 0.7986 | 0.0 | 0.0 | 0.0 | 0.0 |
141
+ | 1.1957 | 0.9 | 360 | 1.1065 | 0.1488 | 0.1951 | 0.7433 | nan | 0.8849 | 0.8898 | 0.0 | 0.4485 | 0.0006 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9043 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8774 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9276 | 0.7874 | 0.9128 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5175 | 0.7792 | 0.0 | 0.4225 | 0.0006 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6156 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5221 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7878 | 0.6150 | 0.8002 | 0.0 | 0.0 | 0.0 | 0.0 |
142
+ | 1.0868 | 0.95 | 380 | 1.0887 | 0.1505 | 0.1912 | 0.7471 | nan | 0.7503 | 0.9557 | 0.0 | 0.4570 | 0.0006 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8680 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9006 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9330 | 0.7527 | 0.8823 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5592 | 0.7452 | 0.0 | 0.4208 | 0.0006 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6647 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5208 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7882 | 0.6068 | 0.8093 | 0.0 | 0.0 | 0.0 | 0.0 |
143
+ | 1.6125 | 1.0 | 400 | 1.0484 | 0.1512 | 0.1960 | 0.7522 | nan | 0.8825 | 0.9225 | 0.0 | 0.4567 | 0.0003 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9052 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8529 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9259 | 0.7985 | 0.9192 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5386 | 0.7864 | 0.0 | 0.4375 | 0.0002 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6381 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5396 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7843 | 0.6077 | 0.8088 | 0.0 | 0.0 | 0.0 | 0.0 |
144
+ | 1.3332 | 1.05 | 420 | 1.0294 | 0.1523 | 0.1942 | 0.7545 | nan | 0.8265 | 0.9434 | 0.0 | 0.4805 | 0.0010 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8711 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8838 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9403 | 0.7424 | 0.9143 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5748 | 0.7724 | 0.0 | 0.4583 | 0.0010 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6613 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5187 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7815 | 0.6039 | 0.8060 | 0.0 | 0.0 | 0.0 | 0.0 |
145
+ | 1.5885 | 1.1 | 440 | 1.0505 | 0.1499 | 0.1920 | 0.7495 | nan | 0.7691 | 0.9622 | 0.0 | 0.4316 | 0.0013 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8800 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8616 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9372 | 0.7558 | 0.9277 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.6003 | 0.7422 | 0.0 | 0.4224 | 0.0013 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6559 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5292 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7671 | 0.5738 | 0.8056 | 0.0 | 0.0 | 0.0 | 0.0 |
146
+ | 1.1033 | 1.15 | 460 | 1.0482 | 0.1515 | 0.1969 | 0.7561 | nan | 0.8663 | 0.9229 | 0.0 | 0.5067 | 0.0023 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9063 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8891 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9342 | 0.7461 | 0.9213 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5763 | 0.7942 | 0.0 | 0.4699 | 0.0023 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6265 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5243 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7818 | 0.5704 | 0.8047 | 0.0 | 0.0 | 0.0 | 0.0 |
147
+ | 1.2376 | 1.2 | 480 | 0.9907 | 0.1534 | 0.1969 | 0.7586 | nan | 0.8626 | 0.9393 | 0.0 | 0.4765 | 0.0025 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9009 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8797 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9293 | 0.7922 | 0.9122 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5706 | 0.7866 | 0.0 | 0.4577 | 0.0025 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6607 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5378 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7847 | 0.6058 | 0.8099 | 0.0 | 0.0 | 0.0 | 0.0 |
148
+ | 1.0037 | 1.25 | 500 | 1.0006 | 0.1525 | 0.1966 | 0.7568 | nan | 0.8847 | 0.9340 | 0.0 | 0.4579 | 0.0030 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8884 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8794 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9192 | 0.7929 | 0.9262 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5564 | 0.7956 | 0.0 | 0.4466 | 0.0030 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6583 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5336 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7866 | 0.5935 | 0.8109 | 0.0 | 0.0 | 0.0 | 0.0 |
149
+ | 0.8961 | 1.3 | 520 | 0.9965 | 0.1544 | 0.1962 | 0.7588 | nan | 0.8673 | 0.9513 | 0.0 | 0.4645 | 0.0023 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8450 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8991 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9055 | 0.8151 | 0.9210 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5845 | 0.7805 | 0.0 | 0.4501 | 0.0023 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6823 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5185 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7941 | 0.6295 | 0.8089 | 0.0 | 0.0 | 0.0 | 0.0 |
150
+ | 1.2659 | 1.35 | 540 | 0.9665 | 0.1559 | 0.2002 | 0.7642 | nan | 0.8463 | 0.9409 | 0.0 | 0.5501 | 0.0044 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8996 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8849 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9281 | 0.8278 | 0.9255 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5940 | 0.7939 | 0.0 | 0.5013 | 0.0044 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6566 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5310 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7871 | 0.6206 | 0.8107 | 0.0 | 0.0 | 0.0 | 0.0 |
151
+ | 1.0982 | 1.4 | 560 | 0.9850 | 0.1539 | 0.1970 | 0.7600 | nan | 0.8854 | 0.9320 | 0.0 | 0.4731 | 0.0035 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8824 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8859 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9415 | 0.7702 | 0.9236 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5686 | 0.7967 | 0.0 | 0.4556 | 0.0035 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6691 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5330 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7864 | 0.6114 | 0.8084 | 0.0 | 0.0 | 0.0 | 0.0 |
152
+ | 0.9199 | 1.45 | 580 | 0.9775 | 0.1562 | 0.1975 | 0.7638 | nan | 0.8526 | 0.9460 | 0.0 | 0.5063 | 0.0117 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8880 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9058 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9427 | 0.7703 | 0.8906 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5977 | 0.7834 | 0.0 | 0.4762 | 0.0116 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6786 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5343 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7931 | 0.6229 | 0.8139 | 0.0 | 0.0 | 0.0 | 0.0 |
153
+ | 1.18 | 1.5 | 600 | 0.9614 | 0.1566 | 0.1999 | 0.7651 | nan | 0.8643 | 0.9444 | 0.0 | 0.5169 | 0.0076 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9066 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8853 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9254 | 0.8260 | 0.9211 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5910 | 0.7880 | 0.0 | 0.4789 | 0.0075 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6639 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5430 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7985 | 0.6359 | 0.8160 | 0.0 | 0.0 | 0.0 | 0.0 |
154
+ | 1.0018 | 1.55 | 620 | 0.9561 | 0.1559 | 0.1999 | 0.7646 | nan | 0.8482 | 0.9371 | 0.0 | 0.5618 | 0.0125 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9039 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8892 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9396 | 0.7710 | 0.9336 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5921 | 0.7961 | 0.0 | 0.4994 | 0.0124 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6519 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5342 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7899 | 0.6146 | 0.8114 | 0.0 | 0.0 | 0.0 | 0.0 |
155
+ | 1.2407 | 1.6 | 640 | 0.9485 | 0.1569 | 0.1990 | 0.7655 | nan | 0.8720 | 0.9414 | 0.0 | 0.5204 | 0.0036 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8939 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8930 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9382 | 0.7939 | 0.9093 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5839 | 0.7950 | 0.0 | 0.4856 | 0.0036 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6771 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5381 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7942 | 0.6388 | 0.8179 | 0.0 | 0.0 | 0.0 | 0.0 |
156
+ | 1.9654 | 1.65 | 660 | 0.9485 | 0.1573 | 0.1998 | 0.7642 | nan | 0.8749 | 0.9361 | 0.0 | 0.5410 | 0.0040 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8645 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9020 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9214 | 0.8284 | 0.9216 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5784 | 0.7939 | 0.0 | 0.4909 | 0.0039 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6952 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5320 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7975 | 0.6365 | 0.8209 | 0.0 | 0.0 | 0.0 | 0.0 |
157
+ | 0.9202 | 1.7 | 680 | 0.9327 | 0.1570 | 0.1996 | 0.7649 | nan | 0.8746 | 0.9393 | 0.0 | 0.5136 | 0.0063 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8742 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9002 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9291 | 0.8316 | 0.9163 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5860 | 0.7933 | 0.0 | 0.4807 | 0.0063 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6877 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5350 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7966 | 0.6295 | 0.8220 | 0.0 | 0.0 | 0.0 | 0.0 |
158
+ | 1.5064 | 1.75 | 700 | 0.9305 | 0.1557 | 0.1987 | 0.7650 | nan | 0.8746 | 0.9420 | 0.0 | 0.5082 | 0.0044 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9001 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8607 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9499 | 0.7841 | 0.9311 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5905 | 0.7950 | 0.0 | 0.4787 | 0.0044 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6616 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5482 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7777 | 0.6234 | 0.8155 | 0.0 | 0.0 | 0.0 | 0.0 |
159
+ | 0.9806 | 1.8 | 720 | 0.9289 | 0.1565 | 0.2001 | 0.7657 | nan | 0.8747 | 0.9412 | 0.0 | 0.5171 | 0.0063 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8950 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8818 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9310 | 0.8209 | 0.9366 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5897 | 0.7943 | 0.0 | 0.4820 | 0.0063 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6716 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5422 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7941 | 0.6275 | 0.8150 | 0.0 | 0.0 | 0.0 | 0.0 |
160
+ | 1.3995 | 1.85 | 740 | 0.9427 | 0.1569 | 0.1997 | 0.7655 | nan | 0.8686 | 0.9454 | 0.0 | 0.5040 | 0.0111 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8918 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9074 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9210 | 0.8175 | 0.9246 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5975 | 0.7928 | 0.0 | 0.4749 | 0.0110 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6760 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5285 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8008 | 0.6342 | 0.8179 | 0.0 | 0.0 | 0.0 | 0.0 |
161
+ | 0.8194 | 1.9 | 760 | 0.9331 | 0.1567 | 0.2001 | 0.7654 | nan | 0.8728 | 0.9448 | 0.0 | 0.4979 | 0.0122 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8907 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9026 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9180 | 0.8365 | 0.9265 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5943 | 0.7930 | 0.0 | 0.4715 | 0.0121 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6821 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5344 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7996 | 0.6210 | 0.8210 | 0.0 | 0.0 | 0.0 | 0.0 |
162
+ | 0.8659 | 1.95 | 780 | 0.9291 | 0.1571 | 0.1998 | 0.7669 | nan | 0.8656 | 0.9484 | 0.0 | 0.5035 | 0.0142 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9017 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8874 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9352 | 0.8104 | 0.9272 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.6015 | 0.7913 | 0.0 | 0.4774 | 0.0140 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6710 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5418 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7927 | 0.6314 | 0.8208 | 0.0 | 0.0 | 0.0 | 0.0 |
163
+ | 0.878 | 2.0 | 800 | 0.9318 | 0.1574 | 0.1994 | 0.7668 | nan | 0.8689 | 0.9484 | 0.0 | 0.5015 | 0.0118 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8879 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8895 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9372 | 0.8070 | 0.9258 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5983 | 0.7913 | 0.0 | 0.4760 | 0.0117 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6842 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5394 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7925 | 0.6357 | 0.8218 | 0.0 | 0.0 | 0.0 | 0.0 |
164
+
165
+
166
+ ### Framework versions
167
+
168
+ - Transformers 4.50.3
169
+ - Pytorch 2.6.0+cu124
170
+ - Datasets 3.5.0
171
+ - Tokenizers 0.21.1
config.json ADDED
@@ -0,0 +1,143 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "SegformerForSemanticSegmentation"
4
+ ],
5
+ "attention_probs_dropout_prob": 0.0,
6
+ "classifier_dropout_prob": 0.1,
7
+ "decoder_hidden_size": 256,
8
+ "depths": [
9
+ 2,
10
+ 2,
11
+ 2,
12
+ 2
13
+ ],
14
+ "downsampling_rates": [
15
+ 1,
16
+ 4,
17
+ 8,
18
+ 16
19
+ ],
20
+ "drop_path_rate": 0.1,
21
+ "hidden_act": "gelu",
22
+ "hidden_dropout_prob": 0.0,
23
+ "hidden_sizes": [
24
+ 32,
25
+ 64,
26
+ 160,
27
+ 256
28
+ ],
29
+ "id2label": {
30
+ "0": "unlabeled",
31
+ "1": "flat-road",
32
+ "2": "flat-sidewalk",
33
+ "3": "flat-crosswalk",
34
+ "4": "flat-cyclinglane",
35
+ "5": "flat-parkingdriveway",
36
+ "6": "flat-railtrack",
37
+ "7": "flat-curb",
38
+ "8": "human-person",
39
+ "9": "human-rider",
40
+ "10": "vehicle-car",
41
+ "11": "vehicle-truck",
42
+ "12": "vehicle-bus",
43
+ "13": "vehicle-tramtrain",
44
+ "14": "vehicle-motorcycle",
45
+ "15": "vehicle-bicycle",
46
+ "16": "vehicle-caravan",
47
+ "17": "vehicle-cartrailer",
48
+ "18": "construction-building",
49
+ "19": "construction-door",
50
+ "20": "construction-wall",
51
+ "21": "construction-fenceguardrail",
52
+ "22": "construction-bridge",
53
+ "23": "construction-tunnel",
54
+ "24": "construction-stairs",
55
+ "25": "object-pole",
56
+ "26": "object-trafficsign",
57
+ "27": "object-trafficlight",
58
+ "28": "nature-vegetation",
59
+ "29": "nature-terrain",
60
+ "30": "sky",
61
+ "31": "void-ground",
62
+ "32": "void-dynamic",
63
+ "33": "void-static",
64
+ "34": "void-unclear"
65
+ },
66
+ "image_size": 224,
67
+ "initializer_range": 0.02,
68
+ "label2id": {
69
+ "construction-bridge": 22,
70
+ "construction-building": 18,
71
+ "construction-door": 19,
72
+ "construction-fenceguardrail": 21,
73
+ "construction-stairs": 24,
74
+ "construction-tunnel": 23,
75
+ "construction-wall": 20,
76
+ "flat-crosswalk": 3,
77
+ "flat-curb": 7,
78
+ "flat-cyclinglane": 4,
79
+ "flat-parkingdriveway": 5,
80
+ "flat-railtrack": 6,
81
+ "flat-road": 1,
82
+ "flat-sidewalk": 2,
83
+ "human-person": 8,
84
+ "human-rider": 9,
85
+ "nature-terrain": 29,
86
+ "nature-vegetation": 28,
87
+ "object-pole": 25,
88
+ "object-trafficlight": 27,
89
+ "object-trafficsign": 26,
90
+ "sky": 30,
91
+ "unlabeled": 0,
92
+ "vehicle-bicycle": 15,
93
+ "vehicle-bus": 12,
94
+ "vehicle-car": 10,
95
+ "vehicle-caravan": 16,
96
+ "vehicle-cartrailer": 17,
97
+ "vehicle-motorcycle": 14,
98
+ "vehicle-tramtrain": 13,
99
+ "vehicle-truck": 11,
100
+ "void-dynamic": 32,
101
+ "void-ground": 31,
102
+ "void-static": 33,
103
+ "void-unclear": 34
104
+ },
105
+ "layer_norm_eps": 1e-06,
106
+ "mlp_ratios": [
107
+ 4,
108
+ 4,
109
+ 4,
110
+ 4
111
+ ],
112
+ "model_type": "segformer",
113
+ "num_attention_heads": [
114
+ 1,
115
+ 2,
116
+ 5,
117
+ 8
118
+ ],
119
+ "num_channels": 3,
120
+ "num_encoder_blocks": 4,
121
+ "patch_sizes": [
122
+ 7,
123
+ 3,
124
+ 3,
125
+ 3
126
+ ],
127
+ "reshape_last_stage": true,
128
+ "semantic_loss_ignore_index": 255,
129
+ "sr_ratios": [
130
+ 8,
131
+ 4,
132
+ 2,
133
+ 1
134
+ ],
135
+ "strides": [
136
+ 4,
137
+ 2,
138
+ 2,
139
+ 2
140
+ ],
141
+ "torch_dtype": "float32",
142
+ "transformers_version": "4.50.3"
143
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:212bfc70be943b01a59f64cec337ae096420f599409650140ddfb8299d72d7f4
3
+ size 14918708
preprocessor_config.json ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "do_normalize": true,
3
+ "do_reduce_labels": false,
4
+ "do_rescale": true,
5
+ "do_resize": true,
6
+ "image_mean": [
7
+ 0.485,
8
+ 0.456,
9
+ 0.406
10
+ ],
11
+ "image_processor_type": "SegformerFeatureExtractor",
12
+ "image_std": [
13
+ 0.229,
14
+ 0.224,
15
+ 0.225
16
+ ],
17
+ "resample": 2,
18
+ "rescale_factor": 0.00392156862745098,
19
+ "size": {
20
+ "height": 512,
21
+ "width": 512
22
+ }
23
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b4edb7d45ad53a91a70de182f0f25c9b87ae4538b1d6e70a2d5305a19bb718df
3
+ size 5432