đ Vehicle_Detection_Model
This Vehicle Detection Model is a fine - tuned version of [facebook/detr - resnet - 50](https://huggingface.co/facebook/detr - resnet - 50). It aims to accurately detect vehicles in relevant scenarios, providing reliable results on the evaluation set.
đ Quick Start
This model is a fine - tuned version of [facebook/detr - resnet - 50](https://huggingface.co/facebook/detr - resnet - 50) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7220
- Map: 0.0875
- Map 50: 0.1634
- Map 75: 0.084
- Map Small: 0.355
- Map Medium: 0.1423
- Map Large: 0.0499
- Mar 1: 0.1462
- Mar 10: 0.2602
- Mar 100: 0.2709
- Mar Small: 0.5
- Mar Medium: 0.4013
- Mar Large: 0.3
- Map Camping car: 0.0039
- Mar 100 Camping car: 0.35
- Map Car: 0.4971
- Mar 100 Car: 0.6256
- Map Other: 0.0
- Mar 100 Other: 0.0
- Map Pickup: 0.0239
- Mar 100 Pickup: 0.65
- Map Truck: 0.0
- Mar 100 Truck: 0.0
- Map Van: 0.0
- Mar 100 Van: 0.0
đ Documentation
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e - 05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon = 1e - 08
- lr_scheduler_type: cosine
- num_epochs: 30
Training results
Training Loss |
Epoch |
Step |
Validation Loss |
Map |
Map 50 |
Map 75 |
Map Small |
Map Medium |
Map Large |
Mar 1 |
Mar 10 |
Mar 100 |
Mar Small |
Mar Medium |
Mar Large |
Map Camping car |
Mar 100 Camping car |
Map Car |
Mar 100 Car |
Map Other |
Mar 100 Other |
Map Pickup |
Mar 100 Pickup |
Map Truck |
Mar 100 Truck |
Map Van |
Mar 100 Van |
No log |
1.0 |
232 |
1.3186 |
0.0125 |
0.0292 |
0.0085 |
0.0059 |
0.0197 |
0.004 |
0.0182 |
0.0467 |
0.0903 |
0.0556 |
0.1396 |
0.1 |
0.0 |
0.0 |
0.0751 |
0.5416 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
No log |
2.0 |
464 |
1.0802 |
0.0375 |
0.0832 |
0.0283 |
0.263 |
0.0585 |
0.0102 |
0.0254 |
0.0734 |
0.0865 |
0.2667 |
0.1317 |
0.15 |
0.0 |
0.0 |
0.2249 |
0.5189 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
1.4746 |
3.0 |
696 |
0.9804 |
0.0608 |
0.125 |
0.0483 |
0.2948 |
0.0938 |
0.075 |
0.0305 |
0.0821 |
0.0903 |
0.3556 |
0.1372 |
0.075 |
0.0 |
0.0 |
0.3646 |
0.5416 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
1.4746 |
4.0 |
928 |
0.9139 |
0.0712 |
0.1426 |
0.0577 |
0.2232 |
0.1091 |
0.125 |
0.0315 |
0.085 |
0.0959 |
0.3333 |
0.1459 |
0.125 |
0.0 |
0.0 |
0.4274 |
0.5754 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
1.0134 |
5.0 |
1160 |
0.9581 |
0.0637 |
0.1367 |
0.0426 |
0.0804 |
0.0993 |
0.075 |
0.0289 |
0.0771 |
0.0846 |
0.2556 |
0.1292 |
0.075 |
0.0 |
0.0 |
0.3823 |
0.5078 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
1.0134 |
6.0 |
1392 |
0.8830 |
0.0743 |
0.1476 |
0.0645 |
0.2171 |
0.1139 |
0.075 |
0.0345 |
0.0862 |
0.0967 |
0.3222 |
0.1474 |
0.075 |
0.0 |
0.0 |
0.4456 |
0.5801 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.9133 |
7.0 |
1624 |
0.8645 |
0.0716 |
0.147 |
0.0571 |
0.2156 |
0.1099 |
0.0752 |
0.0329 |
0.0853 |
0.0966 |
0.3111 |
0.147 |
0.175 |
0.0 |
0.0 |
0.4296 |
0.5797 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.9133 |
8.0 |
1856 |
0.8776 |
0.0676 |
0.1478 |
0.0445 |
0.2225 |
0.1032 |
0.1254 |
0.0317 |
0.0811 |
0.0934 |
0.3333 |
0.1417 |
0.2 |
0.0 |
0.0 |
0.4056 |
0.5601 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.8617 |
9.0 |
2088 |
0.8556 |
0.0754 |
0.1506 |
0.0638 |
0.252 |
0.1153 |
0.1254 |
0.0323 |
0.0881 |
0.0999 |
0.3667 |
0.1517 |
0.2 |
0.0 |
0.0 |
0.4525 |
0.5996 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.8617 |
10.0 |
2320 |
0.7552 |
0.0821 |
0.1528 |
0.0803 |
0.361 |
0.1248 |
0.1257 |
0.0347 |
0.1119 |
0.1312 |
0.5222 |
0.1747 |
0.2625 |
0.0 |
0.0 |
0.4921 |
0.6206 |
0.0 |
0.0 |
0.0004 |
0.1667 |
0.0 |
0.0 |
0.0 |
0.0 |
0.8182 |
11.0 |
2552 |
0.8211 |
0.0741 |
0.1525 |
0.0627 |
0.3014 |
0.114 |
0.0503 |
0.0381 |
0.1098 |
0.1544 |
0.4222 |
0.2641 |
0.125 |
0.0001 |
0.1 |
0.4422 |
0.5762 |
0.0 |
0.0 |
0.002 |
0.25 |
0.0 |
0.0 |
0.0 |
0.0 |
0.8182 |
12.0 |
2784 |
0.8140 |
0.0734 |
0.1486 |
0.056 |
0.214 |
0.1129 |
0.0506 |
0.0451 |
0.1066 |
0.1184 |
0.3778 |
0.1941 |
0.125 |
0.0 |
0.0 |
0.4382 |
0.594 |
0.0 |
0.0 |
0.0024 |
0.1167 |
0.0 |
0.0 |
0.0 |
0.0 |
0.8079 |
13.0 |
3016 |
0.7473 |
0.0848 |
0.1559 |
0.0789 |
0.2794 |
0.1307 |
0.0779 |
0.078 |
0.16 |
0.1727 |
0.5 |
0.2668 |
0.1625 |
0.0 |
0.0 |
0.4983 |
0.6363 |
0.0 |
0.0 |
0.0103 |
0.4 |
0.0 |
0.0 |
0.0 |
0.0 |
0.8079 |
14.0 |
3248 |
0.8514 |
0.0706 |
0.1541 |
0.0485 |
0.3034 |
0.1071 |
0.1046 |
0.079 |
0.1726 |
0.1862 |
0.4222 |
0.2556 |
0.2875 |
0.0 |
0.0 |
0.4149 |
0.5669 |
0.0 |
0.0 |
0.0089 |
0.55 |
0.0 |
0.0 |
0.0 |
0.0 |
0.8079 |
15.0 |
3480 |
0.7615 |
0.0814 |
0.1579 |
0.0709 |
0.3673 |
0.1229 |
0.0691 |
0.0929 |
0.161 |
0.1719 |
0.4444 |
0.2177 |
0.3125 |
0.0 |
0.0 |
0.4774 |
0.6146 |
0.0 |
0.0 |
0.0109 |
0.4167 |
0.0 |
0.0 |
0.0 |
0.0 |
0.7672 |
16.0 |
3712 |
0.7819 |
0.0786 |
0.1555 |
0.0732 |
0.2782 |
0.1182 |
0.1589 |
0.103 |
0.1757 |
0.1878 |
0.3556 |
0.2629 |
0.325 |
0.0 |
0.0 |
0.4557 |
0.5936 |
0.0 |
0.0 |
0.0159 |
0.5333 |
0.0 |
0.0 |
0.0 |
0.0 |
0.7672 |
17.0 |
3944 |
0.7723 |
0.0807 |
0.1551 |
0.0757 |
0.3302 |
0.1227 |
0.0687 |
0.0812 |
0.1762 |
0.1939 |
0.4 |
0.274 |
0.3 |
0.0 |
0.0 |
0.4724 |
0.6135 |
0.0 |
0.0 |
0.0121 |
0.55 |
0.0 |
0.0 |
0.0 |
0.0 |
0.744 |
18.0 |
4176 |
0.7838 |
0.0784 |
0.1535 |
0.0709 |
0.3594 |
0.1201 |
0.0564 |
0.0865 |
0.1865 |
0.2497 |
0.4 |
0.3637 |
0.325 |
0.0009 |
0.3 |
0.4503 |
0.5982 |
0.0 |
0.0 |
0.0191 |
0.6 |
0.0 |
0.0 |
0.0 |
0.0 |
0.744 |
19.0 |
4408 |
0.7714 |
0.0763 |
0.1552 |
0.0625 |
0.2732 |
0.116 |
0.0675 |
0.0605 |
0.1696 |
0.1824 |
0.4111 |
0.2502 |
0.3 |
0.0 |
0.0 |
0.4461 |
0.5943 |
0.0 |
0.0 |
0.0115 |
0.5 |
0.0 |
0.0 |
0.0 |
0.0 |
0.7219 |
20.0 |
4640 |
0.7403 |
0.0808 |
0.1543 |
0.0686 |
0.2968 |
0.1251 |
0.0665 |
0.0984 |
0.1889 |
0.1997 |
0.5111 |
0.2859 |
0.3 |
0.0 |
0.0 |
0.4738 |
0.6146 |
0.0 |
0.0 |
0.0109 |
0.5833 |
0.0 |
0.0 |
0.0 |
0.0 |
0.7219 |
21.0 |
4872 |
0.7421 |
0.0839 |
0.1599 |
0.0803 |
0.2862 |
0.2166 |
0.0451 |
0.1396 |
0.2437 |
0.257 |
0.5 |
0.3782 |
0.275 |
0.0123 |
0.4 |
0.4792 |
0.6089 |
0.0 |
0.0 |
0.0118 |
0.5333 |
0.0 |
0.0 |
0.0 |
0.0 |
0.6955 |
22.0 |
5104 |
0.7459 |
0.0844 |
0.1619 |
0.0753 |
0.3116 |
0.1475 |
0.0462 |
0.1395 |
0.2253 |
0.2342 |
0.4333 |
0.3404 |
0.2875 |
0.0068 |
0.25 |
0.4815 |
0.6053 |
0.0 |
0.0 |
0.018 |
0.55 |
0.0 |
0.0 |
0.0 |
0.0 |
0.6955 |
23.0 |
5336 |
0.7439 |
0.0844 |
0.1594 |
0.0782 |
0.3246 |
0.1335 |
0.0682 |
0.1559 |
0.2468 |
0.2567 |
0.4667 |
0.378 |
0.3 |
0.0031 |
0.3 |
0.4854 |
0.6071 |
0.0 |
0.0 |
0.018 |
0.6333 |
0.0 |
0.0 |
0.0 |
0.0 |
0.6836 |
24.0 |
5568 |
0.7263 |
0.0879 |
0.1619 |
0.0854 |
0.3509 |
0.1397 |
0.0597 |
0.1718 |
0.2499 |
0.2589 |
0.4333 |
0.3818 |
0.275 |
0.0027 |
0.3 |
0.4998 |
0.6203 |
0.0 |
0.0 |
0.025 |
0.6333 |
0.0 |
0.0 |
0.0 |
0.0 |
0.6836 |
25.0 |
5800 |
0.7146 |
0.0881 |
0.1632 |
0.087 |
0.3606 |
0.1412 |
0.0714 |
0.1518 |
0.2466 |
0.2572 |
0.4667 |
0.3768 |
0.3 |
0.0032 |
0.3 |
0.4988 |
0.6263 |
0.0 |
0.0 |
0.0267 |
0.6167 |
0.0 |
0.0 |
0.0 |
0.0 |
0.6671 |
26.0 |
6032 |
0.7180 |
0.0915 |
0.1678 |
0.0918 |
0.3652 |
0.2262 |
0.0483 |
0.163 |
0.2506 |
0.2672 |
0.5 |
0.3979 |
0.2875 |
0.0186 |
0.35 |
0.5069 |
0.6367 |
0.0 |
0.0 |
0.0235 |
0.6167 |
0.0 |
0.0 |
0.0 |
0.0 |
0.6671 |
27.0 |
6264 |
0.7219 |
0.0907 |
0.1678 |
0.0888 |
0.3596 |
0.2122 |
0.0492 |
0.1375 |
0.26 |
0.2709 |
0.5 |
0.4012 |
0.3 |
0.0184 |
0.35 |
0.5014 |
0.6253 |
0.0 |
0.0 |
0.0243 |
0.65 |
0.0 |
0.0 |
0.0 |
0.0 |
0.6671 |
28.0 |
6496 |
0.7177 |
0.0882 |
0.1642 |
0.0866 |
0.3625 |
0.1439 |
0.0505 |
0.1463 |
0.2603 |
0.2715 |
0.5111 |
0.4021 |
0.3 |
0.0038 |
0.35 |
0.4996 |
0.6288 |
0.0 |
0.0 |
0.0256 |
0.65 |
0.0 |
0.0 |
0.0 |
0.0 |
0.656 |
29.0 |
6728 |
0.7257 |
0.0873 |
0.1634 |
0.084 |
0.355 |
0.1417 |
0.0497 |
0.1433 |
0.2572 |
0.2708 |
0.5 |
0.401 |
0.3 |
0.0039 |
0.35 |
0.4962 |
0.6246 |
0.0 |
0.0 |
0.0237 |
0.65 |
0.0 |
0.0 |
0.0 |
0.0 |
0.656 |
30.0 |
6960 |
0.7220 |
0.0875 |
0.1634 |
0.084 |
0.355 |
0.1423 |
0.0499 |
0.1462 |
0.2602 |
0.2709 |
0.5 |
0.4013 |
0.3 |
0.0039 |
0.35 |
0.4971 |
0.6256 |
0.0 |
0.0 |
0.0239 |
0.65 |
0.0 |
0.0 |
0.0 |
0.0 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
đ License
This model is licensed under the Apache 2.0 license.