vigneshgs7
commited on
End of training
Browse files- README.md +239 -0
- config.json +78 -0
- model.safetensors +3 -0
- runs/Apr24_00-36-28_Vigneshs-MacBook-Pro.local/events.out.tfevents.1713899373.Vigneshs-MacBook-Pro.local.17371.0 +3 -0
- runs/Apr24_00-41-32_Vigneshs-MacBook-Pro.local/events.out.tfevents.1713899502.Vigneshs-MacBook-Pro.local.17371.1 +3 -0
- runs/Apr24_18-50-31_Vigneshs-MacBook-Pro.local/events.out.tfevents.1713964914.Vigneshs-MacBook-Pro.local.19279.0 +3 -0
- training_args.bin +3 -0
README.md
ADDED
@@ -0,0 +1,239 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: other
|
3 |
+
base_model: nvidia/mit-b2
|
4 |
+
tags:
|
5 |
+
- vision
|
6 |
+
- image-segmentation
|
7 |
+
- generated_from_trainer
|
8 |
+
model-index:
|
9 |
+
- name: segformer-b2-p142-cvat-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-b2-p142-cvat-2
|
17 |
+
|
18 |
+
This model is a fine-tuned version of [nvidia/mit-b2](https://huggingface.co/nvidia/mit-b2) on the vigneshgs7/segformer_open_cv_RGB_L_0_1 dataset.
|
19 |
+
It achieves the following results on the evaluation set:
|
20 |
+
- Loss: 0.0222
|
21 |
+
- Mean Iou: 0.4959
|
22 |
+
- Mean Accuracy: 0.9919
|
23 |
+
- Overall Accuracy: 0.9919
|
24 |
+
- Accuracy Background: nan
|
25 |
+
- Accuracy Object: 0.9919
|
26 |
+
- Iou Background: 0.0
|
27 |
+
- Iou Object: 0.9919
|
28 |
+
|
29 |
+
## Model description
|
30 |
+
|
31 |
+
More information needed
|
32 |
+
|
33 |
+
## Intended uses & limitations
|
34 |
+
|
35 |
+
More information needed
|
36 |
+
|
37 |
+
## Training and evaluation data
|
38 |
+
|
39 |
+
More information needed
|
40 |
+
|
41 |
+
## Training procedure
|
42 |
+
|
43 |
+
### Training hyperparameters
|
44 |
+
|
45 |
+
The following hyperparameters were used during training:
|
46 |
+
- learning_rate: 1e-05
|
47 |
+
- train_batch_size: 2
|
48 |
+
- eval_batch_size: 2
|
49 |
+
- seed: 42
|
50 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
51 |
+
- lr_scheduler_type: linear
|
52 |
+
- num_epochs: 10
|
53 |
+
|
54 |
+
### Training results
|
55 |
+
|
56 |
+
| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Background | Accuracy Object | Iou Background | Iou Object |
|
57 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:-------------------:|:---------------:|:--------------:|:----------:|
|
58 |
+
| 0.4097 | 0.06 | 20 | 0.4634 | 0.4794 | 0.9589 | 0.9589 | nan | 0.9589 | 0.0 | 0.9589 |
|
59 |
+
| 0.4192 | 0.11 | 40 | 0.2595 | 0.4800 | 0.9601 | 0.9601 | nan | 0.9601 | 0.0 | 0.9601 |
|
60 |
+
| 0.4005 | 0.17 | 60 | 0.1546 | 0.4720 | 0.9441 | 0.9441 | nan | 0.9441 | 0.0 | 0.9441 |
|
61 |
+
| 0.1912 | 0.23 | 80 | 0.1395 | 0.4780 | 0.9560 | 0.9560 | nan | 0.9560 | 0.0 | 0.9560 |
|
62 |
+
| 0.1286 | 0.29 | 100 | 0.1182 | 0.4775 | 0.9551 | 0.9551 | nan | 0.9551 | 0.0 | 0.9551 |
|
63 |
+
| 0.1012 | 0.34 | 120 | 0.0902 | 0.4738 | 0.9477 | 0.9477 | nan | 0.9477 | 0.0 | 0.9477 |
|
64 |
+
| 0.0798 | 0.4 | 140 | 0.0777 | 0.4812 | 0.9624 | 0.9624 | nan | 0.9624 | 0.0 | 0.9624 |
|
65 |
+
| 0.0593 | 0.46 | 160 | 0.0716 | 0.4849 | 0.9697 | 0.9697 | nan | 0.9697 | 0.0 | 0.9697 |
|
66 |
+
| 0.107 | 0.52 | 180 | 0.0675 | 0.4900 | 0.9800 | 0.9800 | nan | 0.9800 | 0.0 | 0.9800 |
|
67 |
+
| 0.0521 | 0.57 | 200 | 0.0553 | 0.4811 | 0.9621 | 0.9621 | nan | 0.9621 | 0.0 | 0.9621 |
|
68 |
+
| 0.045 | 0.63 | 220 | 0.0527 | 0.4915 | 0.9829 | 0.9829 | nan | 0.9829 | 0.0 | 0.9829 |
|
69 |
+
| 0.0447 | 0.69 | 240 | 0.0481 | 0.4785 | 0.9571 | 0.9571 | nan | 0.9571 | 0.0 | 0.9571 |
|
70 |
+
| 0.0381 | 0.74 | 260 | 0.0405 | 0.4878 | 0.9755 | 0.9755 | nan | 0.9755 | 0.0 | 0.9755 |
|
71 |
+
| 0.0392 | 0.8 | 280 | 0.0409 | 0.4861 | 0.9723 | 0.9723 | nan | 0.9723 | 0.0 | 0.9723 |
|
72 |
+
| 0.0364 | 0.86 | 300 | 0.0377 | 0.4878 | 0.9755 | 0.9755 | nan | 0.9755 | 0.0 | 0.9755 |
|
73 |
+
| 0.0481 | 0.92 | 320 | 0.0383 | 0.4920 | 0.9840 | 0.9840 | nan | 0.9840 | 0.0 | 0.9840 |
|
74 |
+
| 0.0424 | 0.97 | 340 | 0.0355 | 0.4909 | 0.9818 | 0.9818 | nan | 0.9818 | 0.0 | 0.9818 |
|
75 |
+
| 0.0371 | 1.03 | 360 | 0.0358 | 0.4866 | 0.9732 | 0.9732 | nan | 0.9732 | 0.0 | 0.9732 |
|
76 |
+
| 0.0224 | 1.09 | 380 | 0.0355 | 0.4897 | 0.9794 | 0.9794 | nan | 0.9794 | 0.0 | 0.9794 |
|
77 |
+
| 0.0358 | 1.15 | 400 | 0.0359 | 0.4885 | 0.9769 | 0.9769 | nan | 0.9769 | 0.0 | 0.9769 |
|
78 |
+
| 0.0235 | 1.2 | 420 | 0.0340 | 0.4877 | 0.9753 | 0.9753 | nan | 0.9753 | 0.0 | 0.9753 |
|
79 |
+
| 0.1746 | 1.26 | 440 | 0.0335 | 0.4927 | 0.9854 | 0.9854 | nan | 0.9854 | 0.0 | 0.9854 |
|
80 |
+
| 0.0253 | 1.32 | 460 | 0.0321 | 0.4889 | 0.9778 | 0.9778 | nan | 0.9778 | 0.0 | 0.9778 |
|
81 |
+
| 0.0247 | 1.38 | 480 | 0.0299 | 0.4907 | 0.9814 | 0.9814 | nan | 0.9814 | 0.0 | 0.9814 |
|
82 |
+
| 0.0351 | 1.43 | 500 | 0.0303 | 0.4907 | 0.9813 | 0.9813 | nan | 0.9813 | 0.0 | 0.9813 |
|
83 |
+
| 0.0203 | 1.49 | 520 | 0.0300 | 0.4906 | 0.9812 | 0.9812 | nan | 0.9812 | 0.0 | 0.9812 |
|
84 |
+
| 0.0254 | 1.55 | 540 | 0.0327 | 0.4859 | 0.9718 | 0.9718 | nan | 0.9718 | 0.0 | 0.9718 |
|
85 |
+
| 0.0272 | 1.6 | 560 | 0.0293 | 0.4908 | 0.9816 | 0.9816 | nan | 0.9816 | 0.0 | 0.9816 |
|
86 |
+
| 0.0295 | 1.66 | 580 | 0.0284 | 0.4908 | 0.9816 | 0.9816 | nan | 0.9816 | 0.0 | 0.9816 |
|
87 |
+
| 0.025 | 1.72 | 600 | 0.0286 | 0.4890 | 0.9779 | 0.9779 | nan | 0.9779 | 0.0 | 0.9779 |
|
88 |
+
| 0.0225 | 1.78 | 620 | 0.0283 | 0.4899 | 0.9799 | 0.9799 | nan | 0.9799 | 0.0 | 0.9799 |
|
89 |
+
| 0.1922 | 1.83 | 640 | 0.0264 | 0.4917 | 0.9834 | 0.9834 | nan | 0.9834 | 0.0 | 0.9834 |
|
90 |
+
| 0.0349 | 1.89 | 660 | 0.0265 | 0.4935 | 0.9871 | 0.9871 | nan | 0.9871 | 0.0 | 0.9871 |
|
91 |
+
| 0.023 | 1.95 | 680 | 0.0281 | 0.4887 | 0.9774 | 0.9774 | nan | 0.9774 | 0.0 | 0.9774 |
|
92 |
+
| 0.024 | 2.01 | 700 | 0.0262 | 0.4936 | 0.9872 | 0.9872 | nan | 0.9872 | 0.0 | 0.9872 |
|
93 |
+
| 0.0278 | 2.06 | 720 | 0.0261 | 0.4923 | 0.9846 | 0.9846 | nan | 0.9846 | 0.0 | 0.9846 |
|
94 |
+
| 0.0276 | 2.12 | 740 | 0.0263 | 0.4923 | 0.9845 | 0.9845 | nan | 0.9845 | 0.0 | 0.9845 |
|
95 |
+
| 0.0208 | 2.18 | 760 | 0.0262 | 0.4903 | 0.9806 | 0.9806 | nan | 0.9806 | 0.0 | 0.9806 |
|
96 |
+
| 0.0206 | 2.23 | 780 | 0.0258 | 0.4896 | 0.9792 | 0.9792 | nan | 0.9792 | 0.0 | 0.9792 |
|
97 |
+
| 0.017 | 2.29 | 800 | 0.0265 | 0.4887 | 0.9775 | 0.9775 | nan | 0.9775 | 0.0 | 0.9775 |
|
98 |
+
| 0.1898 | 2.35 | 820 | 0.0260 | 0.4902 | 0.9803 | 0.9803 | nan | 0.9803 | 0.0 | 0.9803 |
|
99 |
+
| 0.0167 | 2.41 | 840 | 0.0256 | 0.4942 | 0.9883 | 0.9883 | nan | 0.9883 | 0.0 | 0.9883 |
|
100 |
+
| 0.0212 | 2.46 | 860 | 0.0263 | 0.4892 | 0.9784 | 0.9784 | nan | 0.9784 | 0.0 | 0.9784 |
|
101 |
+
| 0.0182 | 2.52 | 880 | 0.0252 | 0.4900 | 0.9800 | 0.9800 | nan | 0.9800 | 0.0 | 0.9800 |
|
102 |
+
| 0.0218 | 2.58 | 900 | 0.0241 | 0.4918 | 0.9836 | 0.9836 | nan | 0.9836 | 0.0 | 0.9836 |
|
103 |
+
| 0.0197 | 2.64 | 920 | 0.0249 | 0.4895 | 0.9791 | 0.9791 | nan | 0.9791 | 0.0 | 0.9791 |
|
104 |
+
| 0.0254 | 2.69 | 940 | 0.0241 | 0.4910 | 0.9819 | 0.9819 | nan | 0.9819 | 0.0 | 0.9819 |
|
105 |
+
| 0.0276 | 2.75 | 960 | 0.0249 | 0.4908 | 0.9816 | 0.9816 | nan | 0.9816 | 0.0 | 0.9816 |
|
106 |
+
| 0.0167 | 2.81 | 980 | 0.0241 | 0.4929 | 0.9858 | 0.9858 | nan | 0.9858 | 0.0 | 0.9858 |
|
107 |
+
| 0.0173 | 2.87 | 1000 | 0.0241 | 0.4903 | 0.9806 | 0.9806 | nan | 0.9806 | 0.0 | 0.9806 |
|
108 |
+
| 0.081 | 2.92 | 1020 | 0.0251 | 0.4892 | 0.9783 | 0.9783 | nan | 0.9783 | 0.0 | 0.9783 |
|
109 |
+
| 0.0273 | 2.98 | 1040 | 0.0230 | 0.4921 | 0.9842 | 0.9842 | nan | 0.9842 | 0.0 | 0.9842 |
|
110 |
+
| 0.0384 | 3.04 | 1060 | 0.0232 | 0.4941 | 0.9881 | 0.9881 | nan | 0.9881 | 0.0 | 0.9881 |
|
111 |
+
| 0.0229 | 3.09 | 1080 | 0.0235 | 0.4932 | 0.9863 | 0.9863 | nan | 0.9863 | 0.0 | 0.9863 |
|
112 |
+
| 0.0329 | 3.15 | 1100 | 0.0231 | 0.4941 | 0.9882 | 0.9882 | nan | 0.9882 | 0.0 | 0.9882 |
|
113 |
+
| 0.0149 | 3.21 | 1120 | 0.0232 | 0.4942 | 0.9883 | 0.9883 | nan | 0.9883 | 0.0 | 0.9883 |
|
114 |
+
| 0.0163 | 3.27 | 1140 | 0.0237 | 0.4906 | 0.9813 | 0.9813 | nan | 0.9813 | 0.0 | 0.9813 |
|
115 |
+
| 0.0144 | 3.32 | 1160 | 0.0237 | 0.4903 | 0.9807 | 0.9807 | nan | 0.9807 | 0.0 | 0.9807 |
|
116 |
+
| 0.0196 | 3.38 | 1180 | 0.0225 | 0.4926 | 0.9851 | 0.9851 | nan | 0.9851 | 0.0 | 0.9851 |
|
117 |
+
| 0.0194 | 3.44 | 1200 | 0.0224 | 0.4921 | 0.9841 | 0.9841 | nan | 0.9841 | 0.0 | 0.9841 |
|
118 |
+
| 0.0182 | 3.5 | 1220 | 0.0224 | 0.4916 | 0.9832 | 0.9832 | nan | 0.9832 | 0.0 | 0.9832 |
|
119 |
+
| 0.0178 | 3.55 | 1240 | 0.0230 | 0.4954 | 0.9909 | 0.9909 | nan | 0.9909 | 0.0 | 0.9909 |
|
120 |
+
| 0.0291 | 3.61 | 1260 | 0.0221 | 0.4920 | 0.9840 | 0.9840 | nan | 0.9840 | 0.0 | 0.9840 |
|
121 |
+
| 0.0167 | 3.67 | 1280 | 0.0219 | 0.4934 | 0.9868 | 0.9868 | nan | 0.9868 | 0.0 | 0.9868 |
|
122 |
+
| 0.0142 | 3.72 | 1300 | 0.0216 | 0.4943 | 0.9886 | 0.9886 | nan | 0.9886 | 0.0 | 0.9886 |
|
123 |
+
| 0.0183 | 3.78 | 1320 | 0.0217 | 0.4927 | 0.9855 | 0.9855 | nan | 0.9855 | 0.0 | 0.9855 |
|
124 |
+
| 0.0156 | 3.84 | 1340 | 0.0216 | 0.4946 | 0.9892 | 0.9892 | nan | 0.9892 | 0.0 | 0.9892 |
|
125 |
+
| 0.0438 | 3.9 | 1360 | 0.0215 | 0.4932 | 0.9863 | 0.9863 | nan | 0.9863 | 0.0 | 0.9863 |
|
126 |
+
| 0.0265 | 3.95 | 1380 | 0.0217 | 0.4952 | 0.9904 | 0.9904 | nan | 0.9904 | 0.0 | 0.9904 |
|
127 |
+
| 0.0481 | 4.01 | 1400 | 0.0231 | 0.4943 | 0.9885 | 0.9885 | nan | 0.9885 | 0.0 | 0.9885 |
|
128 |
+
| 0.0163 | 4.07 | 1420 | 0.0227 | 0.4948 | 0.9896 | 0.9896 | nan | 0.9896 | 0.0 | 0.9896 |
|
129 |
+
| 0.0399 | 4.13 | 1440 | 0.0210 | 0.4941 | 0.9881 | 0.9881 | nan | 0.9881 | 0.0 | 0.9881 |
|
130 |
+
| 0.0178 | 4.18 | 1460 | 0.0221 | 0.4947 | 0.9894 | 0.9894 | nan | 0.9894 | 0.0 | 0.9894 |
|
131 |
+
| 0.0159 | 4.24 | 1480 | 0.0220 | 0.4940 | 0.9880 | 0.9880 | nan | 0.9880 | 0.0 | 0.9880 |
|
132 |
+
| 0.0159 | 4.3 | 1500 | 0.0212 | 0.4952 | 0.9903 | 0.9903 | nan | 0.9903 | 0.0 | 0.9903 |
|
133 |
+
| 0.0241 | 4.36 | 1520 | 0.0214 | 0.4945 | 0.9890 | 0.9890 | nan | 0.9890 | 0.0 | 0.9890 |
|
134 |
+
| 0.0159 | 4.41 | 1540 | 0.0215 | 0.4941 | 0.9882 | 0.9882 | nan | 0.9882 | 0.0 | 0.9882 |
|
135 |
+
| 0.0202 | 4.47 | 1560 | 0.0233 | 0.4953 | 0.9907 | 0.9907 | nan | 0.9907 | 0.0 | 0.9907 |
|
136 |
+
| 0.037 | 4.53 | 1580 | 0.0225 | 0.4950 | 0.9900 | 0.9900 | nan | 0.9900 | 0.0 | 0.9900 |
|
137 |
+
| 0.0203 | 4.58 | 1600 | 0.0229 | 0.4944 | 0.9889 | 0.9889 | nan | 0.9889 | 0.0 | 0.9889 |
|
138 |
+
| 0.0244 | 4.64 | 1620 | 0.0210 | 0.4948 | 0.9896 | 0.9896 | nan | 0.9896 | 0.0 | 0.9896 |
|
139 |
+
| 0.0202 | 4.7 | 1640 | 0.0209 | 0.4954 | 0.9909 | 0.9909 | nan | 0.9909 | 0.0 | 0.9909 |
|
140 |
+
| 0.0137 | 4.76 | 1660 | 0.0211 | 0.4940 | 0.9879 | 0.9879 | nan | 0.9879 | 0.0 | 0.9879 |
|
141 |
+
| 0.0152 | 4.81 | 1680 | 0.0210 | 0.4934 | 0.9868 | 0.9868 | nan | 0.9868 | 0.0 | 0.9868 |
|
142 |
+
| 0.0159 | 4.87 | 1700 | 0.0206 | 0.4955 | 0.9910 | 0.9910 | nan | 0.9910 | 0.0 | 0.9910 |
|
143 |
+
| 0.0202 | 4.93 | 1720 | 0.0207 | 0.4930 | 0.9861 | 0.9861 | nan | 0.9861 | 0.0 | 0.9861 |
|
144 |
+
| 0.0453 | 4.99 | 1740 | 0.0211 | 0.4929 | 0.9859 | 0.9859 | nan | 0.9859 | 0.0 | 0.9859 |
|
145 |
+
| 0.0203 | 5.04 | 1760 | 0.0207 | 0.4952 | 0.9904 | 0.9904 | nan | 0.9904 | 0.0 | 0.9904 |
|
146 |
+
| 0.014 | 5.1 | 1780 | 0.0207 | 0.4957 | 0.9913 | 0.9913 | nan | 0.9913 | 0.0 | 0.9913 |
|
147 |
+
| 0.0458 | 5.16 | 1800 | 0.0217 | 0.4959 | 0.9918 | 0.9918 | nan | 0.9918 | 0.0 | 0.9918 |
|
148 |
+
| 0.012 | 5.21 | 1820 | 0.0218 | 0.4945 | 0.9889 | 0.9889 | nan | 0.9889 | 0.0 | 0.9889 |
|
149 |
+
| 0.0444 | 5.27 | 1840 | 0.0227 | 0.4949 | 0.9897 | 0.9897 | nan | 0.9897 | 0.0 | 0.9897 |
|
150 |
+
| 0.0791 | 5.33 | 1860 | 0.0226 | 0.4942 | 0.9884 | 0.9884 | nan | 0.9884 | 0.0 | 0.9884 |
|
151 |
+
| 0.0349 | 5.39 | 1880 | 0.0222 | 0.4932 | 0.9865 | 0.9865 | nan | 0.9865 | 0.0 | 0.9865 |
|
152 |
+
| 0.0175 | 5.44 | 1900 | 0.0225 | 0.4943 | 0.9885 | 0.9885 | nan | 0.9885 | 0.0 | 0.9885 |
|
153 |
+
| 0.0191 | 5.5 | 1920 | 0.0222 | 0.4939 | 0.9878 | 0.9878 | nan | 0.9878 | 0.0 | 0.9878 |
|
154 |
+
| 0.0219 | 5.56 | 1940 | 0.0217 | 0.4950 | 0.9900 | 0.9900 | nan | 0.9900 | 0.0 | 0.9900 |
|
155 |
+
| 0.0251 | 5.62 | 1960 | 0.0225 | 0.4947 | 0.9895 | 0.9895 | nan | 0.9895 | 0.0 | 0.9895 |
|
156 |
+
| 0.0317 | 5.67 | 1980 | 0.0232 | 0.4943 | 0.9887 | 0.9887 | nan | 0.9887 | 0.0 | 0.9887 |
|
157 |
+
| 0.0177 | 5.73 | 2000 | 0.0232 | 0.4946 | 0.9892 | 0.9892 | nan | 0.9892 | 0.0 | 0.9892 |
|
158 |
+
| 0.0172 | 5.79 | 2020 | 0.0205 | 0.4939 | 0.9879 | 0.9879 | nan | 0.9879 | 0.0 | 0.9879 |
|
159 |
+
| 0.028 | 5.85 | 2040 | 0.0224 | 0.4968 | 0.9936 | 0.9936 | nan | 0.9936 | 0.0 | 0.9936 |
|
160 |
+
| 0.0144 | 5.9 | 2060 | 0.0202 | 0.4939 | 0.9877 | 0.9877 | nan | 0.9877 | 0.0 | 0.9877 |
|
161 |
+
| 0.0143 | 5.96 | 2080 | 0.0203 | 0.4953 | 0.9906 | 0.9906 | nan | 0.9906 | 0.0 | 0.9906 |
|
162 |
+
| 0.0161 | 6.02 | 2100 | 0.0199 | 0.4945 | 0.9890 | 0.9890 | nan | 0.9890 | 0.0 | 0.9890 |
|
163 |
+
| 0.014 | 6.07 | 2120 | 0.0202 | 0.4953 | 0.9905 | 0.9905 | nan | 0.9905 | 0.0 | 0.9905 |
|
164 |
+
| 0.0299 | 6.13 | 2140 | 0.0203 | 0.4932 | 0.9863 | 0.9863 | nan | 0.9863 | 0.0 | 0.9863 |
|
165 |
+
| 0.0152 | 6.19 | 2160 | 0.0201 | 0.4954 | 0.9908 | 0.9908 | nan | 0.9908 | 0.0 | 0.9908 |
|
166 |
+
| 0.0159 | 6.25 | 2180 | 0.0200 | 0.4956 | 0.9913 | 0.9913 | nan | 0.9913 | 0.0 | 0.9913 |
|
167 |
+
| 0.0135 | 6.3 | 2200 | 0.0214 | 0.4960 | 0.9920 | 0.9920 | nan | 0.9920 | 0.0 | 0.9920 |
|
168 |
+
| 0.0122 | 6.36 | 2220 | 0.0211 | 0.4939 | 0.9879 | 0.9879 | nan | 0.9879 | 0.0 | 0.9879 |
|
169 |
+
| 0.0198 | 6.42 | 2240 | 0.0203 | 0.4955 | 0.9911 | 0.9911 | nan | 0.9911 | 0.0 | 0.9911 |
|
170 |
+
| 0.0205 | 6.48 | 2260 | 0.0207 | 0.4948 | 0.9897 | 0.9897 | nan | 0.9897 | 0.0 | 0.9897 |
|
171 |
+
| 0.0144 | 6.53 | 2280 | 0.0205 | 0.4947 | 0.9893 | 0.9893 | nan | 0.9893 | 0.0 | 0.9893 |
|
172 |
+
| 0.0138 | 6.59 | 2300 | 0.0207 | 0.4956 | 0.9912 | 0.9912 | nan | 0.9912 | 0.0 | 0.9912 |
|
173 |
+
| 0.0228 | 6.65 | 2320 | 0.0224 | 0.4953 | 0.9906 | 0.9906 | nan | 0.9906 | 0.0 | 0.9906 |
|
174 |
+
| 0.0126 | 6.7 | 2340 | 0.0206 | 0.4949 | 0.9899 | 0.9899 | nan | 0.9899 | 0.0 | 0.9899 |
|
175 |
+
| 0.0134 | 6.76 | 2360 | 0.0208 | 0.4950 | 0.9900 | 0.9900 | nan | 0.9900 | 0.0 | 0.9900 |
|
176 |
+
| 0.0105 | 6.82 | 2380 | 0.0229 | 0.4954 | 0.9909 | 0.9909 | nan | 0.9909 | 0.0 | 0.9909 |
|
177 |
+
| 0.0407 | 6.88 | 2400 | 0.0219 | 0.4952 | 0.9905 | 0.9905 | nan | 0.9905 | 0.0 | 0.9905 |
|
178 |
+
| 0.0148 | 6.93 | 2420 | 0.0212 | 0.4948 | 0.9897 | 0.9897 | nan | 0.9897 | 0.0 | 0.9897 |
|
179 |
+
| 0.011 | 6.99 | 2440 | 0.0216 | 0.4955 | 0.9909 | 0.9909 | nan | 0.9909 | 0.0 | 0.9909 |
|
180 |
+
| 0.0149 | 7.05 | 2460 | 0.0221 | 0.4948 | 0.9895 | 0.9895 | nan | 0.9895 | 0.0 | 0.9895 |
|
181 |
+
| 0.0312 | 7.11 | 2480 | 0.0243 | 0.4956 | 0.9912 | 0.9912 | nan | 0.9912 | 0.0 | 0.9912 |
|
182 |
+
| 0.0146 | 7.16 | 2500 | 0.0236 | 0.4963 | 0.9927 | 0.9927 | nan | 0.9927 | 0.0 | 0.9927 |
|
183 |
+
| 0.0132 | 7.22 | 2520 | 0.0221 | 0.4954 | 0.9908 | 0.9908 | nan | 0.9908 | 0.0 | 0.9908 |
|
184 |
+
| 0.0314 | 7.28 | 2540 | 0.0214 | 0.4939 | 0.9878 | 0.9878 | nan | 0.9878 | 0.0 | 0.9878 |
|
185 |
+
| 0.0177 | 7.34 | 2560 | 0.0221 | 0.4951 | 0.9903 | 0.9903 | nan | 0.9903 | 0.0 | 0.9903 |
|
186 |
+
| 0.0213 | 7.39 | 2580 | 0.0223 | 0.4956 | 0.9912 | 0.9912 | nan | 0.9912 | 0.0 | 0.9912 |
|
187 |
+
| 0.0135 | 7.45 | 2600 | 0.0212 | 0.4953 | 0.9906 | 0.9906 | nan | 0.9906 | 0.0 | 0.9906 |
|
188 |
+
| 0.0361 | 7.51 | 2620 | 0.0223 | 0.4962 | 0.9924 | 0.9924 | nan | 0.9924 | 0.0 | 0.9924 |
|
189 |
+
| 0.0457 | 7.56 | 2640 | 0.0221 | 0.4957 | 0.9914 | 0.9914 | nan | 0.9914 | 0.0 | 0.9914 |
|
190 |
+
| 0.0191 | 7.62 | 2660 | 0.0238 | 0.4960 | 0.9919 | 0.9919 | nan | 0.9919 | 0.0 | 0.9919 |
|
191 |
+
| 0.0141 | 7.68 | 2680 | 0.0222 | 0.4951 | 0.9902 | 0.9902 | nan | 0.9902 | 0.0 | 0.9902 |
|
192 |
+
| 0.012 | 7.74 | 2700 | 0.0232 | 0.4959 | 0.9918 | 0.9918 | nan | 0.9918 | 0.0 | 0.9918 |
|
193 |
+
| 0.0134 | 7.79 | 2720 | 0.0226 | 0.4952 | 0.9904 | 0.9904 | nan | 0.9904 | 0.0 | 0.9904 |
|
194 |
+
| 0.0174 | 7.85 | 2740 | 0.0226 | 0.4957 | 0.9913 | 0.9913 | nan | 0.9913 | 0.0 | 0.9913 |
|
195 |
+
| 0.0163 | 7.91 | 2760 | 0.0215 | 0.4948 | 0.9895 | 0.9895 | nan | 0.9895 | 0.0 | 0.9895 |
|
196 |
+
| 0.0159 | 7.97 | 2780 | 0.0213 | 0.4960 | 0.9920 | 0.9920 | nan | 0.9920 | 0.0 | 0.9920 |
|
197 |
+
| 0.0122 | 8.02 | 2800 | 0.0206 | 0.4950 | 0.9900 | 0.9900 | nan | 0.9900 | 0.0 | 0.9900 |
|
198 |
+
| 0.0272 | 8.08 | 2820 | 0.0207 | 0.4947 | 0.9893 | 0.9893 | nan | 0.9893 | 0.0 | 0.9893 |
|
199 |
+
| 0.0178 | 8.14 | 2840 | 0.0214 | 0.4953 | 0.9907 | 0.9907 | nan | 0.9907 | 0.0 | 0.9907 |
|
200 |
+
| 0.1188 | 8.19 | 2860 | 0.0211 | 0.4946 | 0.9892 | 0.9892 | nan | 0.9892 | 0.0 | 0.9892 |
|
201 |
+
| 0.0128 | 8.25 | 2880 | 0.0222 | 0.4962 | 0.9924 | 0.9924 | nan | 0.9924 | 0.0 | 0.9924 |
|
202 |
+
| 0.0171 | 8.31 | 2900 | 0.0222 | 0.4955 | 0.9909 | 0.9909 | nan | 0.9909 | 0.0 | 0.9909 |
|
203 |
+
| 0.0522 | 8.37 | 2920 | 0.0227 | 0.4959 | 0.9918 | 0.9918 | nan | 0.9918 | 0.0 | 0.9918 |
|
204 |
+
| 0.0142 | 8.42 | 2940 | 0.0237 | 0.4960 | 0.9920 | 0.9920 | nan | 0.9920 | 0.0 | 0.9920 |
|
205 |
+
| 0.0422 | 8.48 | 2960 | 0.0234 | 0.4950 | 0.9901 | 0.9901 | nan | 0.9901 | 0.0 | 0.9901 |
|
206 |
+
| 0.0362 | 8.54 | 2980 | 0.0226 | 0.4954 | 0.9908 | 0.9908 | nan | 0.9908 | 0.0 | 0.9908 |
|
207 |
+
| 0.0187 | 8.6 | 3000 | 0.0220 | 0.4952 | 0.9903 | 0.9903 | nan | 0.9903 | 0.0 | 0.9903 |
|
208 |
+
| 0.0154 | 8.65 | 3020 | 0.0216 | 0.4948 | 0.9896 | 0.9896 | nan | 0.9896 | 0.0 | 0.9896 |
|
209 |
+
| 0.0387 | 8.71 | 3040 | 0.0219 | 0.4956 | 0.9912 | 0.9912 | nan | 0.9912 | 0.0 | 0.9912 |
|
210 |
+
| 0.038 | 8.77 | 3060 | 0.0214 | 0.4948 | 0.9896 | 0.9896 | nan | 0.9896 | 0.0 | 0.9896 |
|
211 |
+
| 0.0145 | 8.83 | 3080 | 0.0213 | 0.4955 | 0.9910 | 0.9910 | nan | 0.9910 | 0.0 | 0.9910 |
|
212 |
+
| 0.0129 | 8.88 | 3100 | 0.0210 | 0.4953 | 0.9906 | 0.9906 | nan | 0.9906 | 0.0 | 0.9906 |
|
213 |
+
| 0.0129 | 8.94 | 3120 | 0.0213 | 0.4953 | 0.9907 | 0.9907 | nan | 0.9907 | 0.0 | 0.9907 |
|
214 |
+
| 0.0148 | 9.0 | 3140 | 0.0220 | 0.4958 | 0.9916 | 0.9916 | nan | 0.9916 | 0.0 | 0.9916 |
|
215 |
+
| 0.0133 | 9.05 | 3160 | 0.0210 | 0.4946 | 0.9891 | 0.9891 | nan | 0.9891 | 0.0 | 0.9891 |
|
216 |
+
| 0.0158 | 9.11 | 3180 | 0.0213 | 0.4954 | 0.9908 | 0.9908 | nan | 0.9908 | 0.0 | 0.9908 |
|
217 |
+
| 0.0155 | 9.17 | 3200 | 0.0217 | 0.4957 | 0.9914 | 0.9914 | nan | 0.9914 | 0.0 | 0.9914 |
|
218 |
+
| 0.0202 | 9.23 | 3220 | 0.0218 | 0.4955 | 0.9911 | 0.9911 | nan | 0.9911 | 0.0 | 0.9911 |
|
219 |
+
| 0.0128 | 9.28 | 3240 | 0.0211 | 0.4953 | 0.9905 | 0.9905 | nan | 0.9905 | 0.0 | 0.9905 |
|
220 |
+
| 0.0304 | 9.34 | 3260 | 0.0218 | 0.4959 | 0.9918 | 0.9918 | nan | 0.9918 | 0.0 | 0.9918 |
|
221 |
+
| 0.0354 | 9.4 | 3280 | 0.0214 | 0.4954 | 0.9908 | 0.9908 | nan | 0.9908 | 0.0 | 0.9908 |
|
222 |
+
| 0.0188 | 9.46 | 3300 | 0.0214 | 0.4952 | 0.9903 | 0.9903 | nan | 0.9903 | 0.0 | 0.9903 |
|
223 |
+
| 0.0117 | 9.51 | 3320 | 0.0223 | 0.4961 | 0.9921 | 0.9921 | nan | 0.9921 | 0.0 | 0.9921 |
|
224 |
+
| 0.0175 | 9.57 | 3340 | 0.0215 | 0.4954 | 0.9907 | 0.9907 | nan | 0.9907 | 0.0 | 0.9907 |
|
225 |
+
| 0.0304 | 9.63 | 3360 | 0.0217 | 0.4954 | 0.9909 | 0.9909 | nan | 0.9909 | 0.0 | 0.9909 |
|
226 |
+
| 0.0166 | 9.68 | 3380 | 0.0216 | 0.4955 | 0.9909 | 0.9909 | nan | 0.9909 | 0.0 | 0.9909 |
|
227 |
+
| 0.0899 | 9.74 | 3400 | 0.0221 | 0.4962 | 0.9923 | 0.9923 | nan | 0.9923 | 0.0 | 0.9923 |
|
228 |
+
| 0.0128 | 9.8 | 3420 | 0.0216 | 0.4955 | 0.9910 | 0.9910 | nan | 0.9910 | 0.0 | 0.9910 |
|
229 |
+
| 0.0149 | 9.86 | 3440 | 0.0217 | 0.4955 | 0.9910 | 0.9910 | nan | 0.9910 | 0.0 | 0.9910 |
|
230 |
+
| 0.0192 | 9.91 | 3460 | 0.0216 | 0.4953 | 0.9906 | 0.9906 | nan | 0.9906 | 0.0 | 0.9906 |
|
231 |
+
| 0.0454 | 9.97 | 3480 | 0.0222 | 0.4959 | 0.9919 | 0.9919 | nan | 0.9919 | 0.0 | 0.9919 |
|
232 |
+
|
233 |
+
|
234 |
+
### Framework versions
|
235 |
+
|
236 |
+
- Transformers 4.35.0
|
237 |
+
- Pytorch 2.2.2
|
238 |
+
- Datasets 2.14.6
|
239 |
+
- Tokenizers 0.14.1
|
config.json
ADDED
@@ -0,0 +1,78 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "nvidia/mit-b2",
|
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 |
+
6,
|
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": "background",
|
32 |
+
"1": "object"
|
33 |
+
},
|
34 |
+
"image_size": 224,
|
35 |
+
"initializer_range": 0.02,
|
36 |
+
"label2id": {
|
37 |
+
"background": 0,
|
38 |
+
"object": 1
|
39 |
+
},
|
40 |
+
"layer_norm_eps": 1e-06,
|
41 |
+
"mlp_ratios": [
|
42 |
+
4,
|
43 |
+
4,
|
44 |
+
4,
|
45 |
+
4
|
46 |
+
],
|
47 |
+
"model_type": "segformer",
|
48 |
+
"num_attention_heads": [
|
49 |
+
1,
|
50 |
+
2,
|
51 |
+
5,
|
52 |
+
8
|
53 |
+
],
|
54 |
+
"num_channels": 3,
|
55 |
+
"num_encoder_blocks": 4,
|
56 |
+
"patch_sizes": [
|
57 |
+
7,
|
58 |
+
3,
|
59 |
+
3,
|
60 |
+
3
|
61 |
+
],
|
62 |
+
"reshape_last_stage": true,
|
63 |
+
"semantic_loss_ignore_index": 255,
|
64 |
+
"sr_ratios": [
|
65 |
+
8,
|
66 |
+
4,
|
67 |
+
2,
|
68 |
+
1
|
69 |
+
],
|
70 |
+
"strides": [
|
71 |
+
4,
|
72 |
+
2,
|
73 |
+
2,
|
74 |
+
2
|
75 |
+
],
|
76 |
+
"torch_dtype": "float32",
|
77 |
+
"transformers_version": "4.35.0"
|
78 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c5e2776ae5f9547bf076d513fa2ba3bf451fa7fd48d066f8b6d901cf46ee63f6
|
3 |
+
size 109444016
|
runs/Apr24_00-36-28_Vigneshs-MacBook-Pro.local/events.out.tfevents.1713899373.Vigneshs-MacBook-Pro.local.17371.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e15592600b7082f252610e0d5ea57c95248c49a04feb1df09d744fc960537de2
|
3 |
+
size 4733
|
runs/Apr24_00-41-32_Vigneshs-MacBook-Pro.local/events.out.tfevents.1713899502.Vigneshs-MacBook-Pro.local.17371.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0dc3db49893761c8dce759ab8a4112f64cafa568e924885c1291ef19efe5f5de
|
3 |
+
size 4732
|
runs/Apr24_18-50-31_Vigneshs-MacBook-Pro.local/events.out.tfevents.1713964914.Vigneshs-MacBook-Pro.local.19279.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1b520b3a6ed787e1f3822cc575896a5dd131da339488130264fecf680c4a4faf
|
3 |
+
size 669839
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2859bf9ba337bddfa6ca3c1deea9df978d9af2c0e6af519afef309893832b318
|
3 |
+
size 4600
|