MexicanVanGogh
commited on
Commit
•
d2d31e6
1
Parent(s):
d50f894
End of training
Browse files- README.md +198 -0
- config.json +102 -0
- pytorch_model.bin +3 -0
- training_args.bin +3 -0
README.md
ADDED
@@ -0,0 +1,198 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: other
|
3 |
+
base_model: nvidia/mit-b0
|
4 |
+
tags:
|
5 |
+
- vision
|
6 |
+
- image-segmentation
|
7 |
+
- generated_from_trainer
|
8 |
+
metrics:
|
9 |
+
- recall
|
10 |
+
model-index:
|
11 |
+
- name: segformer-b0-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-b0-finetuned-segments-greenhousev7-oct-26
|
19 |
+
|
20 |
+
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
|
21 |
+
It achieves the following results on the evaluation set:
|
22 |
+
- Loss: 0.1879
|
23 |
+
- Mean Iou: 0.4686
|
24 |
+
- Mean Accuracy: 0.5106
|
25 |
+
- Overall Accuracy: 0.9535
|
26 |
+
- F1 Score: 0.9514
|
27 |
+
- Recall: 0.9535
|
28 |
+
- Accuracy Unlabeled: nan
|
29 |
+
- Accuracy Object: 0.0370
|
30 |
+
- Accuracy Road: nan
|
31 |
+
- Accuracy Plant: 0.9625
|
32 |
+
- Accuracy Iron: 0.6122
|
33 |
+
- Accuracy Wood: 0.0
|
34 |
+
- Accuracy Wall: 0.9814
|
35 |
+
- Accuracy Raw Road: 0.9913
|
36 |
+
- Accuracy Bottom Wall: 0.5912
|
37 |
+
- Accuracy Roof: 0.4666
|
38 |
+
- Accuracy Grass: 0.0
|
39 |
+
- Accuracy Mulch: 0.9145
|
40 |
+
- Accuracy Person: nan
|
41 |
+
- Accuracy Tomato: 0.0600
|
42 |
+
- Iou Unlabeled: nan
|
43 |
+
- Iou Object: 0.0369
|
44 |
+
- Iou Road: nan
|
45 |
+
- Iou Plant: 0.8832
|
46 |
+
- Iou Iron: 0.5054
|
47 |
+
- Iou Wood: 0.0
|
48 |
+
- Iou Wall: 0.8493
|
49 |
+
- Iou Raw Road: 0.9798
|
50 |
+
- Iou Bottom Wall: 0.5438
|
51 |
+
- Iou Roof: 0.4367
|
52 |
+
- Iou Grass: 0.0
|
53 |
+
- Iou Mulch: 0.8592
|
54 |
+
- Iou Person: nan
|
55 |
+
- Iou Tomato: 0.0600
|
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 |
+
| 1.6596 | 0.14 | 20 | 2.1525 | 0.1795 | 0.2802 | 0.8389 | 0.8370 | 0.8389 | nan | 0.0 | nan | 0.9392 | 0.0 | 0.0 | 0.3980 | 0.8889 | 0.0020 | 0.0 | 0.0000 | 0.8537 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.7704 | 0.0 | 0.0 | 0.3702 | 0.8789 | 0.0020 | 0.0 | 0.0000 | 0.4910 | 0.0 | 0.0 |
|
87 |
+
| 1.5293 | 0.29 | 40 | 1.0856 | 0.2790 | 0.3305 | 0.8923 | 0.8903 | 0.8923 | nan | 0.0 | nan | 0.9546 | 0.0 | 0.0 | 0.9061 | 0.9375 | 0.0010 | 0.0 | 0.0 | 0.8363 | nan | 0.0 | nan | 0.0 | nan | 0.7978 | 0.0 | 0.0 | 0.7097 | 0.9286 | 0.0009 | 0.0 | 0.0 | 0.6315 | nan | 0.0 |
|
88 |
+
| 0.8879 | 0.43 | 60 | 0.8185 | 0.2830 | 0.3343 | 0.9026 | 0.9006 | 0.9026 | nan | 0.0 | nan | 0.9482 | 0.0 | 0.0 | 0.9227 | 0.9534 | 0.0013 | 0.0 | 0.0 | 0.8522 | nan | 0.0 | nan | 0.0 | nan | 0.8152 | 0.0 | 0.0 | 0.6864 | 0.9443 | 0.0013 | 0.0 | 0.0 | 0.6661 | nan | 0.0 |
|
89 |
+
| 0.8206 | 0.57 | 80 | 0.7521 | 0.2882 | 0.3423 | 0.9093 | 0.9072 | 0.9093 | nan | 0.0 | nan | 0.9177 | 0.0 | 0.0 | 0.9820 | 0.9594 | 0.0001 | 0.0 | 0.0 | 0.9062 | nan | 0.0 | nan | 0.0 | nan | 0.8245 | 0.0 | 0.0 | 0.6904 | 0.9503 | 0.0001 | 0.0 | 0.0 | 0.7047 | nan | 0.0 |
|
90 |
+
| 0.7352 | 0.71 | 100 | 0.6401 | 0.2944 | 0.3436 | 0.9186 | 0.9166 | 0.9186 | nan | 0.0 | nan | 0.9468 | 0.0 | 0.0 | 0.9781 | 0.9698 | 0.0000 | 0.0 | 0.0 | 0.8853 | nan | 0.0 | nan | 0.0 | nan | 0.8433 | 0.0 | 0.0 | 0.6962 | 0.9582 | 0.0000 | 0.0 | 0.0 | 0.7403 | nan | 0.0 |
|
91 |
+
| 0.7899 | 0.86 | 120 | 0.5717 | 0.2937 | 0.3443 | 0.9178 | 0.9157 | 0.9178 | nan | 0.0 | nan | 0.9282 | 0.0 | 0.0 | 0.9694 | 0.9678 | 0.0002 | 0.0 | 0.0 | 0.9217 | nan | 0.0 | nan | 0.0 | nan | 0.8488 | 0.0 | 0.0 | 0.6949 | 0.9590 | 0.0002 | 0.0 | 0.0 | 0.7273 | nan | 0.0 |
|
92 |
+
| 2.0721 | 1.0 | 140 | 0.4866 | 0.3037 | 0.3518 | 0.9239 | 0.9218 | 0.9239 | nan | 0.0 | nan | 0.9398 | 0.0 | 0.0 | 0.9691 | 0.9723 | 0.0690 | 0.0 | 0.0 | 0.9199 | nan | 0.0 | nan | 0.0 | nan | 0.8553 | 0.0 | 0.0 | 0.6926 | 0.9632 | 0.0679 | 0.0 | 0.0 | 0.7612 | nan | 0.0 |
|
93 |
+
| 0.6149 | 1.14 | 160 | 0.5076 | 0.3020 | 0.3476 | 0.9222 | 0.9202 | 0.9222 | nan | 0.0 | nan | 0.9772 | 0.0 | 0.0 | 0.9627 | 0.9694 | 0.0532 | 0.0 | 0.0 | 0.8612 | nan | 0.0 | nan | 0.0 | nan | 0.8406 | 0.0 | 0.0 | 0.7090 | 0.9621 | 0.0526 | 0.0 | 0.0 | 0.7578 | nan | 0.0 |
|
94 |
+
| 0.4477 | 1.29 | 180 | 0.4217 | 0.3220 | 0.3651 | 0.9309 | 0.9288 | 0.9309 | nan | 0.0 | nan | 0.9503 | 0.0 | 0.0 | 0.9667 | 0.9779 | 0.2063 | 0.0 | 0.0 | 0.9145 | nan | 0.0 | nan | 0.0 | nan | 0.8612 | 0.0 | 0.0 | 0.7308 | 0.9667 | 0.1985 | 0.0 | 0.0 | 0.7848 | nan | 0.0 |
|
95 |
+
| 0.3391 | 1.43 | 200 | 0.4049 | 0.3156 | 0.3608 | 0.9320 | 0.9300 | 0.9320 | nan | 0.0 | nan | 0.9527 | 0.0 | 0.0 | 0.9872 | 0.9797 | 0.1357 | 0.0 | 0.0 | 0.9131 | nan | 0.0 | nan | 0.0 | nan | 0.8696 | 0.0 | 0.0 | 0.7053 | 0.9697 | 0.1327 | 0.0 | 0.0 | 0.7949 | nan | 0.0 |
|
96 |
+
| 0.5233 | 1.57 | 220 | 0.3520 | 0.3221 | 0.3642 | 0.9322 | 0.9301 | 0.9322 | nan | 0.0 | nan | 0.9769 | 0.0 | 0.0 | 0.9762 | 0.9784 | 0.2008 | 0.0 | 0.0 | 0.8743 | nan | 0.0 | nan | 0.0 | nan | 0.8606 | 0.0 | 0.0 | 0.7283 | 0.9695 | 0.1948 | 0.0 | 0.0 | 0.7899 | nan | 0.0 |
|
97 |
+
| 0.3887 | 1.71 | 240 | 0.3348 | 0.3353 | 0.3762 | 0.9370 | 0.9349 | 0.9370 | nan | 0.0 | nan | 0.9605 | 0.0 | 0.0 | 0.9721 | 0.9819 | 0.3135 | 0.0 | 0.0 | 0.9099 | nan | 0.0 | nan | 0.0 | nan | 0.8728 | 0.0 | 0.0 | 0.7449 | 0.9712 | 0.2939 | 0.0 | 0.0 | 0.8053 | nan | 0.0 |
|
98 |
+
| 0.434 | 1.86 | 260 | 0.3334 | 0.3345 | 0.3778 | 0.9362 | 0.9341 | 0.9362 | nan | 0.0 | nan | 0.9579 | 0.0 | 0.0 | 0.9833 | 0.9774 | 0.3153 | 0.0 | 0.0 | 0.9219 | nan | 0.0 | nan | 0.0 | nan | 0.8736 | 0.0 | 0.0 | 0.7386 | 0.9703 | 0.2932 | 0.0 | 0.0 | 0.8036 | nan | 0.0 |
|
99 |
+
| 0.2444 | 2.0 | 280 | 0.2902 | 0.3372 | 0.3865 | 0.9351 | 0.9330 | 0.9351 | nan | 0.0 | nan | 0.9626 | 0.0000 | 0.0 | 0.8230 | 0.9832 | 0.5756 | 0.0 | 0.0 | 0.9072 | nan | 0.0 | nan | 0.0 | nan | 0.8726 | 0.0000 | 0.0 | 0.6885 | 0.9728 | 0.3592 | 0.0 | 0.0 | 0.8163 | nan | 0.0 |
|
100 |
+
| 0.2299 | 2.14 | 300 | 0.2840 | 0.3485 | 0.3890 | 0.9413 | 0.9392 | 0.9413 | nan | 0.0 | nan | 0.9652 | 0.0001 | 0.0 | 0.9747 | 0.9864 | 0.4574 | 0.0 | 0.0 | 0.8950 | nan | 0.0 | nan | 0.0 | nan | 0.8759 | 0.0001 | 0.0 | 0.7694 | 0.9737 | 0.3926 | 0.0 | 0.0 | 0.8223 | nan | 0.0 |
|
101 |
+
| 0.5078 | 2.29 | 320 | 0.2695 | 0.3397 | 0.3863 | 0.9375 | 0.9354 | 0.9375 | nan | 0.0 | nan | 0.9638 | 0.0023 | 0.0 | 0.8613 | 0.9846 | 0.5280 | 0.0 | 0.0 | 0.9092 | nan | 0.0 | nan | 0.0 | nan | 0.8784 | 0.0023 | 0.0 | 0.7045 | 0.9743 | 0.3584 | 0.0 | 0.0 | 0.8183 | nan | 0.0 |
|
102 |
+
| 0.1887 | 2.43 | 340 | 0.2525 | 0.3436 | 0.3937 | 0.9380 | 0.9359 | 0.9380 | nan | 0.0 | nan | 0.9628 | 0.0045 | 0.0 | 0.8164 | 0.9878 | 0.6577 | 0.0 | 0.0 | 0.9011 | nan | 0.0 | nan | 0.0 | nan | 0.8765 | 0.0045 | 0.0 | 0.6926 | 0.9746 | 0.4036 | 0.0 | 0.0 | 0.8277 | nan | 0.0 |
|
103 |
+
| 0.1653 | 2.57 | 360 | 0.2561 | 0.3501 | 0.3911 | 0.9415 | 0.9394 | 0.9415 | nan | 0.0 | nan | 0.9573 | 0.0258 | 0.0 | 0.9854 | 0.9833 | 0.4292 | 0.0 | 0.0 | 0.9211 | nan | 0.0 | nan | 0.0 | nan | 0.8804 | 0.0258 | 0.0 | 0.7676 | 0.9740 | 0.3852 | 0.0 | 0.0 | 0.8178 | nan | 0.0 |
|
104 |
+
| 0.2558 | 2.71 | 380 | 0.2528 | 0.3487 | 0.3958 | 0.9401 | 0.9380 | 0.9401 | nan | 0.0 | nan | 0.9705 | 0.0093 | 0.0 | 0.8740 | 0.9858 | 0.6182 | 0.0 | 0.0 | 0.8957 | nan | 0.0 | nan | 0.0 | nan | 0.8763 | 0.0093 | 0.0 | 0.7425 | 0.9751 | 0.4053 | 0.0 | 0.0 | 0.8275 | nan | 0.0 |
|
105 |
+
| 0.2108 | 2.86 | 400 | 0.2392 | 0.3703 | 0.4126 | 0.9439 | 0.9418 | 0.9439 | nan | 0.0 | nan | 0.9434 | 0.1539 | 0.0 | 0.9547 | 0.9871 | 0.5663 | 0.0 | 0.0 | 0.9330 | nan | 0.0 | nan | 0.0 | nan | 0.8789 | 0.1497 | 0.0 | 0.7956 | 0.9753 | 0.4499 | 0.0 | 0.0 | 0.8241 | nan | 0.0 |
|
106 |
+
| 0.4714 | 3.0 | 420 | 0.2356 | 0.3641 | 0.4033 | 0.9441 | 0.9420 | 0.9441 | nan | 0.0 | nan | 0.9616 | 0.1110 | 0.0 | 0.9616 | 0.9879 | 0.5059 | 0.0 | 0.0 | 0.9085 | nan | 0.0 | nan | 0.0 | nan | 0.8802 | 0.1094 | 0.0 | 0.7852 | 0.9752 | 0.4258 | 0.0 | 0.0 | 0.8288 | nan | 0.0 |
|
107 |
+
| 0.1627 | 3.14 | 440 | 0.2308 | 0.3671 | 0.4071 | 0.9444 | 0.9423 | 0.9444 | nan | 0.0 | nan | 0.9407 | 0.0831 | 0.0 | 0.9837 | 0.9865 | 0.5436 | 0.0 | 0.0 | 0.9401 | nan | 0.0 | nan | 0.0 | nan | 0.8769 | 0.0823 | 0.0 | 0.8036 | 0.9757 | 0.4756 | 0.0 | 0.0 | 0.8240 | nan | 0.0 |
|
108 |
+
| 0.2317 | 3.29 | 460 | 0.2275 | 0.3755 | 0.4143 | 0.9453 | 0.9432 | 0.9453 | nan | 0.0 | nan | 0.9430 | 0.1668 | 0.0 | 0.9794 | 0.9868 | 0.5427 | 0.0 | 0.0 | 0.9385 | nan | 0.0 | nan | 0.0 | nan | 0.8768 | 0.1622 | 0.0 | 0.8062 | 0.9759 | 0.4815 | 0.0 | 0.0 | 0.8275 | nan | 0.0 |
|
109 |
+
| 0.1151 | 3.43 | 480 | 0.2173 | 0.3756 | 0.4161 | 0.9447 | 0.9426 | 0.9447 | nan | 0.0 | nan | 0.9685 | 0.2515 | 0.0 | 0.9411 | 0.9874 | 0.5281 | 0.0 | 0.0 | 0.9006 | nan | 0.0 | nan | 0.0 | nan | 0.8793 | 0.2358 | 0.0 | 0.7736 | 0.9765 | 0.4318 | 0.0 | 0.0 | 0.8344 | nan | 0.0 |
|
110 |
+
| 0.1437 | 3.57 | 500 | 0.2377 | 0.3661 | 0.4274 | 0.9385 | 0.9364 | 0.9385 | nan | 0.0 | nan | 0.9580 | 0.2904 | 0.0 | 0.6725 | 0.9898 | 0.8764 | 0.0 | 0.0 | 0.9146 | nan | 0.0 | nan | 0.0 | nan | 0.8843 | 0.2646 | 0.0 | 0.6361 | 0.9764 | 0.4310 | 0.0 | 0.0 | 0.8348 | nan | 0.0 |
|
111 |
+
| 0.115 | 3.71 | 520 | 0.2251 | 0.3783 | 0.4162 | 0.9464 | 0.9443 | 0.9464 | nan | 0.0 | nan | 0.9622 | 0.2591 | 0.0 | 0.9871 | 0.9872 | 0.4676 | 0.0 | 0.0 | 0.9148 | nan | 0.0 | nan | 0.0 | nan | 0.8838 | 0.2425 | 0.0 | 0.7921 | 0.9767 | 0.4327 | 0.0 | 0.0 | 0.8332 | nan | 0.0 |
|
112 |
+
| 0.1383 | 3.86 | 540 | 0.2172 | 0.3804 | 0.4264 | 0.9443 | 0.9422 | 0.9443 | nan | 0.0 | nan | 0.9647 | 0.3091 | 0.0 | 0.8735 | 0.9860 | 0.6394 | 0.0 | 0.0 | 0.9171 | nan | 0.0 | nan | 0.0 | nan | 0.8818 | 0.2793 | 0.0 | 0.7627 | 0.9767 | 0.4496 | 0.0 | 0.0 | 0.8341 | nan | 0.0 |
|
113 |
+
| 0.1628 | 4.0 | 560 | 0.2143 | 0.3853 | 0.4221 | 0.9476 | 0.9454 | 0.9476 | nan | 0.0 | nan | 0.9668 | 0.2776 | 0.0 | 0.9774 | 0.9885 | 0.5282 | 0.0 | 0.0 | 0.9050 | nan | 0.0 | nan | 0.0 | nan | 0.8791 | 0.2619 | 0.0 | 0.8174 | 0.9772 | 0.4639 | 0.0 | 0.0 | 0.8390 | nan | 0.0 |
|
114 |
+
| 1.2539 | 4.14 | 580 | 0.2137 | 0.3740 | 0.4272 | 0.9424 | 0.9403 | 0.9424 | nan | 0.0 | nan | 0.9591 | 0.2666 | 0.0 | 0.7834 | 0.9885 | 0.7826 | 0.0 | 0.0 | 0.9191 | nan | 0.0 | nan | 0.0 | nan | 0.8821 | 0.2444 | 0.0 | 0.7159 | 0.9767 | 0.4551 | 0.0 | 0.0 | 0.8397 | nan | 0.0 |
|
115 |
+
| 0.0829 | 4.29 | 600 | 0.2101 | 0.3780 | 0.4309 | 0.9435 | 0.9414 | 0.9435 | nan | 0.0 | nan | 0.9527 | 0.2830 | 0.0 | 0.8213 | 0.9883 | 0.7694 | 0.0 | 0.0 | 0.9253 | nan | 0.0 | nan | 0.0 | nan | 0.8812 | 0.2626 | 0.0 | 0.7370 | 0.9770 | 0.4574 | 0.0 | 0.0 | 0.8430 | nan | 0.0 |
|
116 |
+
| 0.1216 | 4.43 | 620 | 0.2116 | 0.3835 | 0.4213 | 0.9474 | 0.9453 | 0.9474 | nan | 0.0 | nan | 0.9504 | 0.2847 | 0.0 | 0.9899 | 0.9902 | 0.4947 | 0.0 | 0.0 | 0.9239 | nan | 0.0 | nan | 0.0 | nan | 0.8818 | 0.2644 | 0.0 | 0.8003 | 0.9769 | 0.4548 | 0.0 | 0.0 | 0.8404 | nan | 0.0 |
|
117 |
+
| 0.1813 | 4.57 | 640 | 0.2029 | 0.3975 | 0.4370 | 0.9488 | 0.9467 | 0.9488 | nan | 0.0 | nan | 0.9569 | 0.3785 | 0.0 | 0.9660 | 0.9874 | 0.5928 | 0.0 | 0.0 | 0.9256 | nan | 0.0 | nan | 0.0 | nan | 0.8806 | 0.3376 | 0.0 | 0.8295 | 0.9767 | 0.5058 | 0.0 | 0.0 | 0.8429 | nan | 0.0 |
|
118 |
+
| 0.1656 | 4.71 | 660 | 0.2056 | 0.3950 | 0.4300 | 0.9490 | 0.9469 | 0.9490 | nan | 0.0 | nan | 0.9688 | 0.3253 | 0.0 | 0.9777 | 0.9915 | 0.5754 | 0.0 | 0.0 | 0.8914 | nan | 0.0 | nan | 0.0 | nan | 0.8791 | 0.3031 | 0.0 | 0.8357 | 0.9767 | 0.5100 | 0.0 | 0.0 | 0.8410 | nan | 0.0 |
|
119 |
+
| 0.1789 | 4.86 | 680 | 0.2065 | 0.4049 | 0.4435 | 0.9501 | 0.9479 | 0.9501 | nan | 0.0 | nan | 0.9597 | 0.4684 | 0.0 | 0.9809 | 0.9876 | 0.5583 | 0.0 | 0.0 | 0.9235 | nan | 0.0 | nan | 0.0 | nan | 0.8828 | 0.4007 | 0.0 | 0.8346 | 0.9778 | 0.5171 | 0.0 | 0.0 | 0.8414 | nan | 0.0 |
|
120 |
+
| 0.1187 | 5.0 | 700 | 0.1991 | 0.3959 | 0.4413 | 0.9471 | 0.9450 | 0.9471 | nan | 0.0 | nan | 0.9592 | 0.4892 | 0.0 | 0.9071 | 0.9879 | 0.5860 | 0.0 | 0.0 | 0.9245 | nan | 0.0 | nan | 0.0 | nan | 0.8803 | 0.3982 | 0.0 | 0.7914 | 0.9774 | 0.4645 | 0.0 | 0.0 | 0.8436 | nan | 0.0 |
|
121 |
+
| 0.626 | 5.14 | 720 | 0.2027 | 0.3920 | 0.4439 | 0.9456 | 0.9435 | 0.9456 | nan | 0.0 | nan | 0.9613 | 0.4342 | 0.0 | 0.8274 | 0.9899 | 0.7585 | 0.0 | 0.0 | 0.9112 | nan | 0.0 | nan | 0.0 | nan | 0.8839 | 0.3778 | 0.0 | 0.7492 | 0.9776 | 0.4791 | 0.0 | 0.0 | 0.8439 | nan | 0.0 |
|
122 |
+
| 0.147 | 5.29 | 740 | 0.2082 | 0.3953 | 0.4347 | 0.9491 | 0.9470 | 0.9491 | nan | 0.0 | nan | 0.9595 | 0.4286 | 0.0 | 0.9903 | 0.9893 | 0.4975 | 0.0 | 0.0 | 0.9164 | nan | 0.0 | nan | 0.0 | nan | 0.8816 | 0.3728 | 0.0 | 0.8145 | 0.9778 | 0.4517 | 0.0 | 0.0 | 0.8497 | nan | 0.0 |
|
123 |
+
| 0.1364 | 5.43 | 760 | 0.2021 | 0.4018 | 0.4409 | 0.9501 | 0.9480 | 0.9501 | nan | 0.0 | nan | 0.9563 | 0.4045 | 0.0 | 0.9703 | 0.9889 | 0.6049 | 0.0 | 0.0 | 0.9253 | nan | 0.0 | nan | 0.0 | nan | 0.8833 | 0.3563 | 0.0 | 0.8371 | 0.9778 | 0.5219 | 0.0 | 0.0 | 0.8439 | nan | 0.0 |
|
124 |
+
| 0.1686 | 5.57 | 780 | 0.2020 | 0.3860 | 0.4271 | 0.9477 | 0.9456 | 0.9477 | nan | 0.0 | nan | 0.9637 | 0.3000 | 0.0 | 0.9403 | 0.9886 | 0.5903 | 0.0 | 0.0 | 0.9155 | nan | 0.0 | nan | 0.0 | nan | 0.8833 | 0.2749 | 0.0 | 0.8023 | 0.9782 | 0.4641 | 0.0 | 0.0 | 0.8429 | nan | 0.0 |
|
125 |
+
| 0.2067 | 5.71 | 800 | 0.2008 | 0.4073 | 0.4496 | 0.9500 | 0.9479 | 0.9500 | nan | 0.0 | nan | 0.9606 | 0.5183 | 0.0 | 0.9766 | 0.9863 | 0.5805 | 0.0 | 0.0 | 0.9228 | nan | 0.0 | nan | 0.0 | nan | 0.8802 | 0.4203 | 0.0 | 0.8381 | 0.9778 | 0.5183 | 0.0 | 0.0 | 0.8456 | nan | 0.0 |
|
126 |
+
| 0.1006 | 5.86 | 820 | 0.2021 | 0.4044 | 0.4472 | 0.9502 | 0.9480 | 0.9502 | nan | 0.0025 | nan | 0.9496 | 0.4994 | 0.0 | 0.9867 | 0.9903 | 0.5657 | 0.0 | 0.0 | 0.9255 | nan | 0.0 | nan | 0.0025 | nan | 0.8818 | 0.3916 | 0.0 | 0.8342 | 0.9774 | 0.5109 | 0.0 | 0.0 | 0.8502 | nan | 0.0 |
|
127 |
+
| 0.1727 | 6.0 | 840 | 0.1984 | 0.4085 | 0.4468 | 0.9507 | 0.9486 | 0.9507 | nan | 0.0 | nan | 0.9633 | 0.5097 | 0.0 | 0.9782 | 0.9914 | 0.5673 | 0.0 | 0.0 | 0.9047 | nan | 0.0 | nan | 0.0 | nan | 0.8799 | 0.4267 | 0.0 | 0.8398 | 0.9773 | 0.5179 | 0.0 | 0.0 | 0.8515 | nan | 0.0 |
|
128 |
+
| 0.1328 | 6.14 | 860 | 0.2080 | 0.4022 | 0.4401 | 0.9497 | 0.9475 | 0.9497 | nan | 0.0 | nan | 0.9710 | 0.4251 | 0.0 | 0.9881 | 0.9901 | 0.5779 | 0.0 | 0.0 | 0.8883 | nan | 0.0 | nan | 0.0 | nan | 0.8763 | 0.3703 | 0.0 | 0.8333 | 0.9782 | 0.5187 | 0.0 | 0.0 | 0.8468 | nan | 0.0 |
|
129 |
+
| 0.1334 | 6.29 | 880 | 0.1971 | 0.4090 | 0.4497 | 0.9506 | 0.9485 | 0.9506 | nan | 0.0 | nan | 0.9484 | 0.4975 | 0.0 | 0.9731 | 0.9897 | 0.6049 | 0.0 | 0.0 | 0.9334 | nan | 0.0 | nan | 0.0 | nan | 0.8801 | 0.4214 | 0.0 | 0.8412 | 0.9784 | 0.5298 | 0.0 | 0.0 | 0.8478 | nan | 0.0 |
|
130 |
+
| 0.083 | 6.43 | 900 | 0.1972 | 0.4108 | 0.4501 | 0.9512 | 0.9491 | 0.9512 | nan | 0.0 | nan | 0.9655 | 0.5234 | 0.0 | 0.9760 | 0.9905 | 0.5903 | 0.0 | 0.0 | 0.9053 | nan | 0.0 | nan | 0.0 | nan | 0.8798 | 0.4349 | 0.0 | 0.8442 | 0.9784 | 0.5298 | 0.0 | 0.0 | 0.8521 | nan | 0.0 |
|
131 |
+
| 0.0972 | 6.57 | 920 | 0.2056 | 0.4044 | 0.4450 | 0.9505 | 0.9483 | 0.9505 | nan | 0.0004 | nan | 0.9539 | 0.4516 | 0.0 | 0.9836 | 0.9900 | 0.5937 | 0.0 | 0.0 | 0.9218 | nan | 0.0 | nan | 0.0004 | nan | 0.8785 | 0.3783 | 0.0 | 0.8393 | 0.9786 | 0.5213 | 0.0 | 0.0 | 0.8518 | nan | 0.0 |
|
132 |
+
| 0.0756 | 6.71 | 940 | 0.1953 | 0.3957 | 0.4428 | 0.9470 | 0.9449 | 0.9470 | nan | 0.0 | nan | 0.9667 | 0.5082 | 0.0 | 0.8953 | 0.9867 | 0.5958 | 0.0 | 0.0 | 0.9177 | nan | 0.0000 | nan | 0.0 | nan | 0.8799 | 0.4170 | 0.0 | 0.7797 | 0.9782 | 0.4495 | 0.0 | 0.0 | 0.8485 | nan | 0.0000 |
|
133 |
+
| 0.0803 | 6.86 | 960 | 0.1937 | 0.4026 | 0.4457 | 0.9495 | 0.9474 | 0.9495 | nan | 0.0 | nan | 0.9576 | 0.5142 | 0.0 | 0.9401 | 0.9909 | 0.5809 | 0.0 | 0.0 | 0.9194 | nan | 0.0 | nan | 0.0 | nan | 0.8855 | 0.4325 | 0.0 | 0.8091 | 0.9784 | 0.4761 | 0.0 | 0.0 | 0.8474 | nan | 0.0 |
|
134 |
+
| 0.1149 | 7.0 | 980 | 0.1990 | 0.4045 | 0.4458 | 0.9505 | 0.9484 | 0.9505 | nan | 0.0 | nan | 0.9595 | 0.4988 | 0.0 | 0.9785 | 0.9881 | 0.5541 | 0.0 | 0.0 | 0.9250 | nan | 0.0 | nan | 0.0 | nan | 0.8853 | 0.4225 | 0.0 | 0.8276 | 0.9786 | 0.4878 | 0.0 | 0.0 | 0.8482 | nan | 0.0 |
|
135 |
+
| 0.0725 | 7.14 | 1000 | 0.2013 | 0.4107 | 0.4505 | 0.9514 | 0.9493 | 0.9514 | nan | 0.0 | nan | 0.9646 | 0.5347 | 0.0 | 0.9790 | 0.9896 | 0.5747 | 0.0 | 0.0 | 0.9125 | nan | 0.0 | nan | 0.0 | nan | 0.8815 | 0.4412 | 0.0 | 0.8425 | 0.9789 | 0.5226 | 0.0 | 0.0 | 0.8515 | nan | 0.0 |
|
136 |
+
| 0.1287 | 7.29 | 1020 | 0.1942 | 0.4087 | 0.4465 | 0.9515 | 0.9494 | 0.9515 | nan | 0.0 | nan | 0.9596 | 0.4760 | 0.0 | 0.9782 | 0.9901 | 0.5861 | 0.0 | 0.0 | 0.9212 | nan | 0.0 | nan | 0.0 | nan | 0.8818 | 0.4178 | 0.0 | 0.8416 | 0.9789 | 0.5221 | 0.0 | 0.0 | 0.8532 | nan | 0.0 |
|
137 |
+
| 0.1374 | 7.43 | 1040 | 0.1975 | 0.4049 | 0.4424 | 0.9512 | 0.9491 | 0.9512 | nan | 0.0 | nan | 0.9661 | 0.4277 | 0.0 | 0.9841 | 0.9904 | 0.5908 | 0.0 | 0.0 | 0.9064 | nan | 0.0007 | nan | 0.0 | nan | 0.8814 | 0.3834 | 0.0 | 0.8367 | 0.9789 | 0.5194 | 0.0 | 0.0 | 0.8537 | nan | 0.0007 |
|
138 |
+
| 0.6602 | 7.57 | 1060 | 0.1964 | 0.4121 | 0.4517 | 0.9516 | 0.9495 | 0.9516 | nan | 0.0 | nan | 0.9659 | 0.5234 | 0.0 | 0.9699 | 0.9892 | 0.5943 | 0.0113 | 0.0 | 0.9147 | nan | 0.0 | nan | 0.0 | nan | 0.8835 | 0.4346 | 0.0 | 0.8437 | 0.9791 | 0.5321 | 0.0112 | 0.0 | 0.8491 | nan | 0.0 |
|
139 |
+
| 0.1374 | 7.71 | 1080 | 0.1966 | 0.4120 | 0.4546 | 0.9516 | 0.9494 | 0.9516 | nan | 0.0 | nan | 0.9674 | 0.5673 | 0.0 | 0.9818 | 0.9875 | 0.5830 | 0.0 | 0.0 | 0.9135 | nan | 0.0 | nan | 0.0 | nan | 0.8833 | 0.4637 | 0.0 | 0.8418 | 0.9793 | 0.5120 | 0.0 | 0.0 | 0.8520 | nan | 0.0 |
|
140 |
+
| 0.12 | 7.86 | 1100 | 0.1934 | 0.4121 | 0.4520 | 0.9518 | 0.9496 | 0.9518 | nan | 0.0 | nan | 0.9600 | 0.5588 | 0.0 | 0.9805 | 0.9907 | 0.5638 | 0.0 | 0.0 | 0.9178 | nan | 0.0 | nan | 0.0 | nan | 0.8842 | 0.4594 | 0.0 | 0.8433 | 0.9790 | 0.5181 | 0.0 | 0.0 | 0.8495 | nan | 0.0 |
|
141 |
+
| 0.1576 | 8.0 | 1120 | 0.1897 | 0.4064 | 0.4470 | 0.9509 | 0.9488 | 0.9509 | nan | 0.0 | nan | 0.9590 | 0.4736 | 0.0 | 0.9833 | 0.9868 | 0.5844 | 0.0 | 0.0 | 0.9297 | nan | 0.0 | nan | 0.0 | nan | 0.8831 | 0.4011 | 0.0 | 0.8433 | 0.9786 | 0.5154 | 0.0 | 0.0 | 0.8487 | nan | 0.0 |
|
142 |
+
| 0.103 | 8.14 | 1140 | 0.1879 | 0.4141 | 0.4557 | 0.9518 | 0.9496 | 0.9518 | nan | 0.0003 | nan | 0.9658 | 0.5692 | 0.0 | 0.9782 | 0.9907 | 0.5863 | 0.0142 | 0.0 | 0.9052 | nan | 0.0031 | nan | 0.0003 | nan | 0.8825 | 0.4567 | 0.0 | 0.8437 | 0.9788 | 0.5212 | 0.0142 | 0.0 | 0.8540 | nan | 0.0031 |
|
143 |
+
| 0.2327 | 8.29 | 1160 | 0.1949 | 0.4068 | 0.4455 | 0.9512 | 0.9491 | 0.9512 | nan | 0.0 | nan | 0.9513 | 0.4529 | 0.0 | 0.9850 | 0.9909 | 0.5929 | 0.0 | 0.0 | 0.9280 | nan | 0.0 | nan | 0.0 | nan | 0.8817 | 0.3999 | 0.0 | 0.8400 | 0.9785 | 0.5205 | 0.0 | 0.0 | 0.8538 | nan | 0.0 |
|
144 |
+
| 0.1801 | 8.43 | 1180 | 0.1934 | 0.4083 | 0.4477 | 0.9516 | 0.9495 | 0.9516 | nan | 0.0 | nan | 0.9529 | 0.4636 | 0.0 | 0.9837 | 0.9904 | 0.6056 | 0.0 | 0.0 | 0.9282 | nan | 0.0 | nan | 0.0 | nan | 0.8816 | 0.4099 | 0.0 | 0.8434 | 0.9794 | 0.5219 | 0.0 | 0.0 | 0.8546 | nan | 0.0 |
|
145 |
+
| 0.0761 | 8.57 | 1200 | 0.1918 | 0.4147 | 0.4551 | 0.9523 | 0.9501 | 0.9523 | nan | 0.0 | nan | 0.9587 | 0.5620 | 0.0 | 0.9762 | 0.9910 | 0.5987 | 0.0 | 0.0 | 0.9190 | nan | 0.0 | nan | 0.0 | nan | 0.8831 | 0.4655 | 0.0 | 0.8438 | 0.9792 | 0.5345 | 0.0 | 0.0 | 0.8552 | nan | 0.0 |
|
146 |
+
| 0.0763 | 8.71 | 1220 | 0.1997 | 0.4147 | 0.4541 | 0.9524 | 0.9502 | 0.9524 | nan | 0.0 | nan | 0.9623 | 0.5586 | 0.0 | 0.9798 | 0.9907 | 0.5883 | 0.0 | 0.0 | 0.9151 | nan | 0.0 | nan | 0.0 | nan | 0.8835 | 0.4664 | 0.0 | 0.8439 | 0.9793 | 0.5343 | 0.0 | 0.0 | 0.8542 | nan | 0.0 |
|
147 |
+
| 0.0955 | 8.86 | 1240 | 0.1978 | 0.4118 | 0.4512 | 0.9520 | 0.9499 | 0.9520 | nan | 0.0 | nan | 0.9616 | 0.5352 | 0.0 | 0.9867 | 0.9897 | 0.5705 | 0.0003 | 0.0 | 0.9192 | nan | 0.0 | nan | 0.0 | nan | 0.8822 | 0.4494 | 0.0 | 0.8416 | 0.9796 | 0.5209 | 0.0003 | 0.0 | 0.8555 | nan | 0.0 |
|
148 |
+
| 0.0936 | 9.0 | 1260 | 0.1962 | 0.4116 | 0.4498 | 0.9520 | 0.9498 | 0.9520 | nan | 0.0 | nan | 0.9676 | 0.5162 | 0.0 | 0.9837 | 0.9898 | 0.5801 | 0.0012 | 0.0 | 0.9090 | nan | 0.0 | nan | 0.0 | nan | 0.8801 | 0.4370 | 0.0 | 0.8423 | 0.9797 | 0.5314 | 0.0012 | 0.0 | 0.8557 | nan | 0.0 |
|
149 |
+
| 0.0674 | 9.14 | 1280 | 0.1934 | 0.4474 | 0.4892 | 0.9524 | 0.9503 | 0.9524 | nan | 0.0 | nan | 0.9631 | 0.5763 | 0.0 | 0.9721 | 0.9905 | 0.5994 | 0.3652 | 0.0 | 0.9147 | nan | 0.0003 | nan | 0.0 | nan | 0.8808 | 0.4701 | 0.0 | 0.8461 | 0.9795 | 0.5379 | 0.3494 | 0.0 | 0.8578 | nan | 0.0003 |
|
150 |
+
| 0.0866 | 9.29 | 1300 | 0.1983 | 0.4227 | 0.4641 | 0.9510 | 0.9489 | 0.9510 | nan | 0.0 | nan | 0.9450 | 0.5336 | 0.0 | 0.9867 | 0.9895 | 0.5851 | 0.1251 | 0.0 | 0.9383 | nan | 0.0013 | nan | 0.0 | nan | 0.8784 | 0.4470 | 0.0 | 0.8409 | 0.9791 | 0.5296 | 0.1228 | 0.0 | 0.8508 | nan | 0.0013 |
|
151 |
+
| 0.4395 | 9.43 | 1320 | 0.1919 | 0.4144 | 0.4535 | 0.9521 | 0.9499 | 0.9521 | nan | 0.0 | nan | 0.9658 | 0.5528 | 0.0 | 0.9819 | 0.9900 | 0.5838 | 0.0039 | 0.0 | 0.9102 | nan | 0.0000 | nan | 0.0 | nan | 0.8808 | 0.4649 | 0.0 | 0.8435 | 0.9794 | 0.5310 | 0.0039 | 0.0 | 0.8554 | nan | 0.0000 |
|
152 |
+
| 0.122 | 9.57 | 1340 | 0.1878 | 0.4188 | 0.4613 | 0.9526 | 0.9505 | 0.9526 | nan | 0.0 | nan | 0.9609 | 0.6431 | 0.0 | 0.9809 | 0.9892 | 0.5756 | 0.0011 | 0.0 | 0.9226 | nan | 0.0014 | nan | 0.0 | nan | 0.8832 | 0.5068 | 0.0 | 0.8456 | 0.9795 | 0.5334 | 0.0011 | 0.0 | 0.8559 | nan | 0.0014 |
|
153 |
+
| 0.1842 | 9.71 | 1360 | 0.1863 | 0.4158 | 0.4573 | 0.9524 | 0.9503 | 0.9524 | nan | 0.0 | nan | 0.9608 | 0.5828 | 0.0 | 0.9767 | 0.9906 | 0.5989 | 0.0003 | 0.0 | 0.9171 | nan | 0.0030 | nan | 0.0 | nan | 0.8826 | 0.4726 | 0.0 | 0.8464 | 0.9795 | 0.5332 | 0.0003 | 0.0 | 0.8566 | nan | 0.0030 |
|
154 |
+
| 0.1078 | 9.86 | 1380 | 0.1859 | 0.4544 | 0.4956 | 0.9526 | 0.9504 | 0.9526 | nan | 0.0 | nan | 0.9645 | 0.5626 | 0.0 | 0.9735 | 0.9909 | 0.5857 | 0.4593 | 0.0 | 0.9132 | nan | 0.0021 | nan | 0.0 | nan | 0.8826 | 0.4697 | 0.0 | 0.8479 | 0.9794 | 0.5340 | 0.4286 | 0.0 | 0.8547 | nan | 0.0021 |
|
155 |
+
| 0.069 | 10.0 | 1400 | 0.1992 | 0.4204 | 0.4600 | 0.9523 | 0.9502 | 0.9523 | nan | 0.0 | nan | 0.9640 | 0.5418 | 0.0 | 0.9837 | 0.9891 | 0.5909 | 0.0681 | 0.0 | 0.9173 | nan | 0.0048 | nan | 0.0 | nan | 0.8832 | 0.4593 | 0.0 | 0.8445 | 0.9796 | 0.5314 | 0.0676 | 0.0 | 0.8543 | nan | 0.0048 |
|
156 |
+
| 0.6167 | 10.14 | 1420 | 0.1929 | 0.4350 | 0.4748 | 0.9523 | 0.9501 | 0.9523 | nan | 0.0 | nan | 0.9660 | 0.5536 | 0.0 | 0.9749 | 0.9906 | 0.5981 | 0.2257 | 0.0 | 0.9088 | nan | 0.0046 | nan | 0.0 | nan | 0.8828 | 0.4609 | 0.0 | 0.8472 | 0.9792 | 0.5383 | 0.2194 | 0.0 | 0.8526 | nan | 0.0046 |
|
157 |
+
| 0.1718 | 10.29 | 1440 | 0.1937 | 0.4262 | 0.4660 | 0.9525 | 0.9503 | 0.9525 | nan | 0.0018 | nan | 0.9583 | 0.5641 | 0.0 | 0.9828 | 0.9890 | 0.5823 | 0.0945 | 0.0 | 0.9280 | nan | 0.0245 | nan | 0.0018 | nan | 0.8844 | 0.4732 | 0.0 | 0.8452 | 0.9795 | 0.5332 | 0.0937 | 0.0 | 0.8528 | nan | 0.0245 |
|
158 |
+
| 0.0591 | 10.43 | 1460 | 0.1905 | 0.4618 | 0.5049 | 0.9531 | 0.9509 | 0.9531 | nan | 0.0111 | nan | 0.9595 | 0.6058 | 0.0 | 0.9747 | 0.9904 | 0.5958 | 0.4581 | 0.0 | 0.9225 | nan | 0.0362 | nan | 0.0111 | nan | 0.8845 | 0.4949 | 0.0 | 0.8477 | 0.9795 | 0.5415 | 0.4289 | 0.0 | 0.8555 | nan | 0.0362 |
|
159 |
+
| 0.0898 | 10.57 | 1480 | 0.1936 | 0.4453 | 0.4864 | 0.9530 | 0.9508 | 0.9530 | nan | 0.0083 | nan | 0.9577 | 0.6045 | 0.0 | 0.9809 | 0.9909 | 0.5869 | 0.2657 | 0.0 | 0.9221 | nan | 0.0334 | nan | 0.0083 | nan | 0.8846 | 0.4942 | 0.0 | 0.8469 | 0.9791 | 0.5391 | 0.2570 | 0.0 | 0.8561 | nan | 0.0334 |
|
160 |
+
| 1.2356 | 10.71 | 1500 | 0.1905 | 0.4615 | 0.5018 | 0.9531 | 0.9510 | 0.9531 | nan | 0.0594 | nan | 0.9609 | 0.5897 | 0.0 | 0.9817 | 0.9915 | 0.5791 | 0.3882 | 0.0 | 0.9159 | nan | 0.0529 | nan | 0.0594 | nan | 0.8847 | 0.4864 | 0.0 | 0.8476 | 0.9789 | 0.5378 | 0.3722 | 0.0 | 0.8564 | nan | 0.0529 |
|
161 |
+
| 0.0924 | 10.86 | 1520 | 0.1895 | 0.4727 | 0.5180 | 0.9533 | 0.9512 | 0.9533 | nan | 0.0524 | nan | 0.9602 | 0.6394 | 0.0 | 0.9747 | 0.9904 | 0.5846 | 0.4932 | 0.0 | 0.9213 | nan | 0.0813 | nan | 0.0523 | nan | 0.8833 | 0.5010 | 0.0 | 0.8488 | 0.9796 | 0.5419 | 0.4533 | 0.0 | 0.8580 | nan | 0.0811 |
|
162 |
+
| 0.5731 | 11.0 | 1540 | 0.1881 | 0.4626 | 0.5037 | 0.9529 | 0.9508 | 0.9529 | nan | 0.0324 | nan | 0.9573 | 0.5813 | 0.0 | 0.9799 | 0.9912 | 0.5884 | 0.4334 | 0.0 | 0.9218 | nan | 0.0550 | nan | 0.0324 | nan | 0.8832 | 0.4799 | 0.0 | 0.8492 | 0.9791 | 0.5409 | 0.4122 | 0.0 | 0.8563 | nan | 0.0549 |
|
163 |
+
| 0.1971 | 11.14 | 1560 | 0.1881 | 0.4517 | 0.4921 | 0.9526 | 0.9504 | 0.9526 | nan | 0.0024 | nan | 0.9684 | 0.5571 | 0.0 | 0.9741 | 0.9903 | 0.6048 | 0.3904 | 0.0 | 0.9064 | nan | 0.0190 | nan | 0.0024 | nan | 0.8822 | 0.4657 | 0.0 | 0.8484 | 0.9795 | 0.5422 | 0.3746 | 0.0 | 0.8544 | nan | 0.0190 |
|
164 |
+
| 0.099 | 11.29 | 1580 | 0.1878 | 0.4357 | 0.4752 | 0.9528 | 0.9507 | 0.9528 | nan | 0.0012 | nan | 0.9616 | 0.5706 | 0.0 | 0.9790 | 0.9899 | 0.5925 | 0.1940 | 0.0 | 0.9212 | nan | 0.0176 | nan | 0.0012 | nan | 0.8834 | 0.4779 | 0.0 | 0.8471 | 0.9795 | 0.5402 | 0.1898 | 0.0 | 0.8561 | nan | 0.0176 |
|
165 |
+
| 0.1088 | 11.43 | 1600 | 0.1907 | 0.4598 | 0.5025 | 0.9528 | 0.9506 | 0.9528 | nan | 0.0065 | nan | 0.9600 | 0.5936 | 0.0 | 0.9790 | 0.9897 | 0.5928 | 0.4592 | 0.0 | 0.9219 | nan | 0.0254 | nan | 0.0065 | nan | 0.8810 | 0.4899 | 0.0 | 0.8485 | 0.9796 | 0.5394 | 0.4295 | 0.0 | 0.8576 | nan | 0.0254 |
|
166 |
+
| 0.0818 | 11.57 | 1620 | 0.1982 | 0.4301 | 0.4709 | 0.9523 | 0.9502 | 0.9523 | nan | 0.0017 | nan | 0.9526 | 0.6068 | 0.0 | 0.9829 | 0.9909 | 0.5894 | 0.1184 | 0.0 | 0.9262 | nan | 0.0106 | nan | 0.0017 | nan | 0.8791 | 0.4999 | 0.0 | 0.8473 | 0.9795 | 0.5390 | 0.1171 | 0.0 | 0.8566 | nan | 0.0106 |
|
167 |
+
| 0.1446 | 11.71 | 1640 | 0.1944 | 0.4587 | 0.5020 | 0.9528 | 0.9507 | 0.9528 | nan | 0.0 | nan | 0.9576 | 0.6376 | 0.0 | 0.9815 | 0.9893 | 0.5706 | 0.4518 | 0.0 | 0.9280 | nan | 0.0056 | nan | 0.0 | nan | 0.8801 | 0.5116 | 0.0 | 0.8487 | 0.9798 | 0.5365 | 0.4262 | 0.0 | 0.8578 | nan | 0.0056 |
|
168 |
+
| 0.0779 | 11.86 | 1660 | 0.1911 | 0.4576 | 0.5000 | 0.9528 | 0.9506 | 0.9528 | nan | 0.0 | nan | 0.9655 | 0.6090 | 0.0 | 0.9778 | 0.9899 | 0.5948 | 0.4487 | 0.0 | 0.9118 | nan | 0.0025 | nan | 0.0 | nan | 0.8796 | 0.4976 | 0.0 | 0.8498 | 0.9797 | 0.5427 | 0.4237 | 0.0 | 0.8585 | nan | 0.0025 |
|
169 |
+
| 0.1273 | 12.0 | 1680 | 0.1858 | 0.4532 | 0.4933 | 0.9530 | 0.9509 | 0.9530 | nan | 0.0023 | nan | 0.9600 | 0.5991 | 0.0 | 0.9804 | 0.9913 | 0.5861 | 0.3671 | 0.0 | 0.9179 | nan | 0.0222 | nan | 0.0023 | nan | 0.8818 | 0.4960 | 0.0 | 0.8492 | 0.9794 | 0.5434 | 0.3531 | 0.0 | 0.8580 | nan | 0.0222 |
|
170 |
+
| 0.1587 | 12.14 | 1700 | 0.1839 | 0.4631 | 0.5058 | 0.9532 | 0.9511 | 0.9532 | nan | 0.0058 | nan | 0.9601 | 0.5974 | 0.0 | 0.9786 | 0.9903 | 0.5890 | 0.4913 | 0.0 | 0.9229 | nan | 0.0283 | nan | 0.0058 | nan | 0.8820 | 0.4909 | 0.0 | 0.8499 | 0.9798 | 0.5455 | 0.4531 | 0.0 | 0.8584 | nan | 0.0283 |
|
171 |
+
| 0.0974 | 12.29 | 1720 | 0.1859 | 0.4485 | 0.4888 | 0.9530 | 0.9509 | 0.9530 | nan | 0.0002 | nan | 0.9627 | 0.5865 | 0.0 | 0.9807 | 0.9901 | 0.5933 | 0.3284 | 0.0 | 0.9181 | nan | 0.0171 | nan | 0.0002 | nan | 0.8820 | 0.4856 | 0.0 | 0.8489 | 0.9798 | 0.5451 | 0.3175 | 0.0 | 0.8576 | nan | 0.0171 |
|
172 |
+
| 0.8994 | 12.43 | 1740 | 0.1905 | 0.4432 | 0.4839 | 0.9529 | 0.9507 | 0.9529 | nan | 0.0073 | nan | 0.9596 | 0.6066 | 0.0 | 0.9795 | 0.9911 | 0.5948 | 0.2446 | 0.0 | 0.9173 | nan | 0.0223 | nan | 0.0073 | nan | 0.8814 | 0.4967 | 0.0 | 0.8482 | 0.9795 | 0.5438 | 0.2378 | 0.0 | 0.8579 | nan | 0.0223 |
|
173 |
+
| 0.0636 | 12.57 | 1760 | 0.1947 | 0.4347 | 0.4759 | 0.9530 | 0.9509 | 0.9530 | nan | 0.0071 | nan | 0.9588 | 0.6464 | 0.0 | 0.9831 | 0.9899 | 0.5734 | 0.1289 | 0.0 | 0.9244 | nan | 0.0225 | nan | 0.0071 | nan | 0.8819 | 0.5231 | 0.0 | 0.8460 | 0.9799 | 0.5363 | 0.1272 | 0.0 | 0.8579 | nan | 0.0225 |
|
174 |
+
| 0.2394 | 12.71 | 1780 | 0.1899 | 0.4448 | 0.4848 | 0.9532 | 0.9510 | 0.9532 | nan | 0.0018 | nan | 0.9634 | 0.6072 | 0.0 | 0.9778 | 0.9897 | 0.5858 | 0.2651 | 0.0 | 0.9206 | nan | 0.0216 | nan | 0.0018 | nan | 0.8826 | 0.5025 | 0.0 | 0.8475 | 0.9800 | 0.5416 | 0.2572 | 0.0 | 0.8576 | nan | 0.0216 |
|
175 |
+
| 0.074 | 12.86 | 1800 | 0.1946 | 0.4358 | 0.4762 | 0.9533 | 0.9512 | 0.9533 | nan | 0.0025 | nan | 0.9614 | 0.6409 | 0.0 | 0.9849 | 0.9904 | 0.5682 | 0.1401 | 0.0 | 0.9202 | nan | 0.0297 | nan | 0.0025 | nan | 0.8834 | 0.5192 | 0.0 | 0.8452 | 0.9800 | 0.5365 | 0.1383 | 0.0 | 0.8585 | nan | 0.0297 |
|
176 |
+
| 0.0917 | 13.0 | 1820 | 0.1937 | 0.4659 | 0.5112 | 0.9533 | 0.9512 | 0.9533 | nan | 0.0088 | nan | 0.9647 | 0.6202 | 0.0 | 0.9840 | 0.9901 | 0.5807 | 0.5290 | 0.0 | 0.9146 | nan | 0.0316 | nan | 0.0088 | nan | 0.8822 | 0.5067 | 0.0 | 0.8469 | 0.9801 | 0.5378 | 0.4710 | 0.0 | 0.8595 | nan | 0.0316 |
|
177 |
+
| 0.5223 | 13.14 | 1840 | 0.1920 | 0.4678 | 0.5120 | 0.9536 | 0.9514 | 0.9536 | nan | 0.0119 | nan | 0.9607 | 0.6219 | 0.0 | 0.9841 | 0.9905 | 0.5822 | 0.5047 | 0.0 | 0.9210 | nan | 0.0556 | nan | 0.0119 | nan | 0.8840 | 0.5081 | 0.0 | 0.8475 | 0.9801 | 0.5392 | 0.4603 | 0.0 | 0.8594 | nan | 0.0556 |
|
178 |
+
| 0.0632 | 13.29 | 1860 | 0.1857 | 0.4676 | 0.5119 | 0.9536 | 0.9514 | 0.9536 | nan | 0.0101 | nan | 0.9599 | 0.6178 | 0.0 | 0.9779 | 0.9903 | 0.5975 | 0.4939 | 0.0 | 0.9235 | nan | 0.0596 | nan | 0.0101 | nan | 0.8839 | 0.5041 | 0.0 | 0.8494 | 0.9800 | 0.5429 | 0.4544 | 0.0 | 0.8595 | nan | 0.0596 |
|
179 |
+
| 0.0981 | 13.43 | 1880 | 0.1854 | 0.4674 | 0.5093 | 0.9536 | 0.9514 | 0.9536 | nan | 0.0532 | nan | 0.9588 | 0.5977 | 0.0 | 0.9804 | 0.9909 | 0.5968 | 0.4329 | 0.0 | 0.9226 | nan | 0.0694 | nan | 0.0528 | nan | 0.8845 | 0.4945 | 0.0 | 0.8491 | 0.9798 | 0.5405 | 0.4116 | 0.0 | 0.8594 | nan | 0.0694 |
|
180 |
+
| 0.1169 | 13.57 | 1900 | 0.1840 | 0.4690 | 0.5143 | 0.9534 | 0.9513 | 0.9534 | nan | 0.0220 | nan | 0.9641 | 0.6310 | 0.0 | 0.9736 | 0.9908 | 0.5919 | 0.5205 | 0.0 | 0.9147 | nan | 0.0491 | nan | 0.0220 | nan | 0.8827 | 0.5082 | 0.0 | 0.8493 | 0.9799 | 0.5442 | 0.4641 | 0.0 | 0.8592 | nan | 0.0491 |
|
181 |
+
| 0.5573 | 13.71 | 1920 | 0.1854 | 0.4669 | 0.5102 | 0.9534 | 0.9513 | 0.9534 | nan | 0.0190 | nan | 0.9618 | 0.6220 | 0.0 | 0.9775 | 0.9911 | 0.5880 | 0.4948 | 0.0 | 0.9173 | nan | 0.0403 | nan | 0.0190 | nan | 0.8825 | 0.5066 | 0.0 | 0.8498 | 0.9798 | 0.5450 | 0.4535 | 0.0 | 0.8594 | nan | 0.0403 |
|
182 |
+
| 0.0812 | 13.86 | 1940 | 0.1901 | 0.4669 | 0.5110 | 0.9532 | 0.9511 | 0.9532 | nan | 0.0217 | nan | 0.9572 | 0.6002 | 0.0 | 0.9815 | 0.9894 | 0.5976 | 0.4875 | 0.0 | 0.9286 | nan | 0.0567 | nan | 0.0217 | nan | 0.8822 | 0.4966 | 0.0 | 0.8492 | 0.9799 | 0.5420 | 0.4485 | 0.0 | 0.8590 | nan | 0.0567 |
|
183 |
+
| 0.1213 | 14.0 | 1960 | 0.1890 | 0.4689 | 0.5121 | 0.9534 | 0.9513 | 0.9534 | nan | 0.0274 | nan | 0.9640 | 0.6233 | 0.0 | 0.9825 | 0.9907 | 0.5886 | 0.4799 | 0.0 | 0.9127 | nan | 0.0642 | nan | 0.0273 | nan | 0.8821 | 0.5096 | 0.0 | 0.8489 | 0.9800 | 0.5422 | 0.4441 | 0.0 | 0.8594 | nan | 0.0642 |
|
184 |
+
| 0.0881 | 14.14 | 1980 | 0.1920 | 0.4637 | 0.5059 | 0.9533 | 0.9512 | 0.9533 | nan | 0.0232 | nan | 0.9605 | 0.6157 | 0.0 | 0.9843 | 0.9897 | 0.5896 | 0.4243 | 0.0 | 0.9221 | nan | 0.0560 | nan | 0.0232 | nan | 0.8819 | 0.5062 | 0.0 | 0.8481 | 0.9802 | 0.5403 | 0.4048 | 0.0 | 0.8600 | nan | 0.0560 |
|
185 |
+
| 0.1365 | 14.29 | 2000 | 0.1878 | 0.4714 | 0.5152 | 0.9535 | 0.9514 | 0.9535 | nan | 0.0443 | nan | 0.9573 | 0.6123 | 0.0 | 0.9821 | 0.9908 | 0.5963 | 0.4836 | 0.0 | 0.9233 | nan | 0.0771 | nan | 0.0440 | nan | 0.8825 | 0.5036 | 0.0 | 0.8490 | 0.9800 | 0.5423 | 0.4466 | 0.0 | 0.8603 | nan | 0.0771 |
|
186 |
+
| 0.1377 | 14.43 | 2020 | 0.1831 | 0.4680 | 0.5140 | 0.9535 | 0.9513 | 0.9535 | nan | 0.0180 | nan | 0.9631 | 0.6188 | 0.0 | 0.9774 | 0.9909 | 0.5863 | 0.5278 | 0.0 | 0.9162 | nan | 0.0555 | nan | 0.0180 | nan | 0.8822 | 0.5064 | 0.0 | 0.8499 | 0.9800 | 0.5438 | 0.4523 | 0.0 | 0.8594 | nan | 0.0555 |
|
187 |
+
| 0.1029 | 14.57 | 2040 | 0.1845 | 0.4677 | 0.5109 | 0.9535 | 0.9514 | 0.9535 | nan | 0.0228 | nan | 0.9596 | 0.5981 | 0.0 | 0.9786 | 0.9902 | 0.5964 | 0.4924 | 0.0 | 0.9248 | nan | 0.0567 | nan | 0.0227 | nan | 0.8833 | 0.4963 | 0.0 | 0.8497 | 0.9801 | 0.5437 | 0.4527 | 0.0 | 0.8591 | nan | 0.0567 |
|
188 |
+
| 0.0932 | 14.71 | 2060 | 0.1851 | 0.4691 | 0.5133 | 0.9536 | 0.9514 | 0.9536 | nan | 0.0228 | nan | 0.9598 | 0.6171 | 0.0 | 0.9793 | 0.9913 | 0.5872 | 0.5130 | 0.0 | 0.9203 | nan | 0.0560 | nan | 0.0227 | nan | 0.8832 | 0.5070 | 0.0 | 0.8498 | 0.9798 | 0.5449 | 0.4580 | 0.0 | 0.8591 | nan | 0.0560 |
|
189 |
+
| 0.1257 | 14.86 | 2080 | 0.1885 | 0.4687 | 0.5113 | 0.9536 | 0.9514 | 0.9536 | nan | 0.0207 | nan | 0.9585 | 0.6043 | 0.0 | 0.9835 | 0.9908 | 0.5851 | 0.4871 | 0.0 | 0.9235 | nan | 0.0708 | nan | 0.0207 | nan | 0.8836 | 0.5018 | 0.0 | 0.8485 | 0.9799 | 0.5429 | 0.4481 | 0.0 | 0.8591 | nan | 0.0708 |
|
190 |
+
| 0.0858 | 15.0 | 2100 | 0.1879 | 0.4686 | 0.5106 | 0.9535 | 0.9514 | 0.9535 | nan | 0.0370 | nan | 0.9625 | 0.6122 | 0.0 | 0.9814 | 0.9913 | 0.5912 | 0.4666 | 0.0 | 0.9145 | nan | 0.0600 | nan | 0.0369 | nan | 0.8832 | 0.5054 | 0.0 | 0.8493 | 0.9798 | 0.5438 | 0.4367 | 0.0 | 0.8592 | nan | 0.0600 |
|
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-b0",
|
3 |
+
"architectures": [
|
4 |
+
"SegformerForSemanticSegmentation"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.0,
|
7 |
+
"classifier_dropout_prob": 0.1,
|
8 |
+
"decoder_hidden_size": 256,
|
9 |
+
"depths": [
|
10 |
+
2,
|
11 |
+
2,
|
12 |
+
2,
|
13 |
+
2
|
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 |
+
32,
|
26 |
+
64,
|
27 |
+
160,
|
28 |
+
256
|
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:e3ea0396a6b6c3cf013adef2e90c477ae3d6a8f09f5f4b7b80d99cb1021dc2e4
|
3 |
+
size 14944077
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:09494f63c795d20eb2b53677b837c17bbf609c62483ea57fcff7eab7ac7fcca8
|
3 |
+
size 4091
|