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---
library_name: transformers
license: apache-2.0
base_model: facebook/detr-resnet-50
tags:
- generated_from_trainer
model-index:
- name: detr_cppe5
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# detr_cppe5
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1822
- Map: 0.3434
- Map 50: 0.6475
- Map 75: 0.2912
- Map Small: 0.3895
- Map Medium: 0.2794
- Map Large: 0.5928
- Mar 1: 0.3097
- Mar 10: 0.5504
- Mar 100: 0.5751
- Mar Small: 0.4457
- Mar Medium: 0.4618
- Mar Large: 0.7823
- Map Coverall: 0.4775
- Mar 100 Coverall: 0.7385
- Map Face Shield: 0.3664
- Mar 100 Face Shield: 0.7118
- Map Gloves: 0.3001
- Mar 100 Gloves: 0.4492
- Map Goggles: 0.1632
- Mar 100 Goggles: 0.4897
- Map Mask: 0.4096
- Mar 100 Mask: 0.4863
## Model description
More information needed
## Intended uses & limitations
More information needed
## 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: 10
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 300
- num_epochs: 50
### 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 Coverall | Mar 100 Coverall | Map Face Shield | Mar 100 Face Shield | Map Gloves | Mar 100 Gloves | Map Goggles | Mar 100 Goggles | Map Mask | Mar 100 Mask |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:------------:|:----------------:|:---------------:|:-------------------:|:----------:|:--------------:|:-----------:|:---------------:|:--------:|:------------:|
| No log | 1.0 | 85 | 3.3808 | 0.0017 | 0.0035 | 0.0013 | 0.0 | 0.0011 | 0.0048 | 0.0074 | 0.0197 | 0.1157 | 0.0 | 0.0252 | 0.1349 | 0.0056 | 0.4828 | 0.0001 | 0.0355 | 0.0006 | 0.0045 | 0.0001 | 0.05 | 0.0023 | 0.0058 |
| No log | 2.0 | 170 | 2.3354 | 0.0059 | 0.0177 | 0.0029 | 0.002 | 0.0047 | 0.0112 | 0.0171 | 0.0932 | 0.2142 | 0.0713 | 0.1013 | 0.2484 | 0.0126 | 0.665 | 0.0 | 0.0 | 0.0061 | 0.1691 | 0.0001 | 0.0083 | 0.0106 | 0.2286 |
| No log | 3.0 | 255 | 2.0756 | 0.0382 | 0.0794 | 0.0318 | 0.0095 | 0.0184 | 0.0287 | 0.0883 | 0.2023 | 0.2537 | 0.0842 | 0.1806 | 0.2639 | 0.1301 | 0.7039 | 0.0 | 0.0 | 0.0103 | 0.2399 | 0.0 | 0.0 | 0.0504 | 0.3249 |
| No log | 4.0 | 340 | 2.0584 | 0.0474 | 0.1014 | 0.0387 | 0.0049 | 0.0114 | 0.0472 | 0.0854 | 0.1807 | 0.2201 | 0.0773 | 0.1209 | 0.2114 | 0.2022 | 0.6511 | 0.0 | 0.0 | 0.0103 | 0.2253 | 0.0 | 0.0 | 0.0243 | 0.2243 |
| No log | 5.0 | 425 | 1.9921 | 0.0482 | 0.1147 | 0.0369 | 0.01 | 0.0359 | 0.0392 | 0.0768 | 0.175 | 0.2277 | 0.0786 | 0.1806 | 0.1977 | 0.168 | 0.6989 | 0.0 | 0.0 | 0.0063 | 0.1949 | 0.0 | 0.0 | 0.0665 | 0.2444 |
| 2.6018 | 6.0 | 510 | 1.9736 | 0.0565 | 0.1186 | 0.0472 | 0.0173 | 0.0172 | 0.0497 | 0.1035 | 0.1885 | 0.2321 | 0.1065 | 0.1353 | 0.207 | 0.2205 | 0.6289 | 0.0 | 0.0 | 0.0194 | 0.273 | 0.0 | 0.0 | 0.0427 | 0.2587 |
| 2.6018 | 7.0 | 595 | 1.8589 | 0.0719 | 0.1624 | 0.0566 | 0.0183 | 0.0469 | 0.08 | 0.1186 | 0.2145 | 0.2532 | 0.064 | 0.179 | 0.2641 | 0.2502 | 0.6817 | 0.0063 | 0.029 | 0.0161 | 0.2517 | 0.0 | 0.0 | 0.0871 | 0.3037 |
| 2.6018 | 8.0 | 680 | 1.9134 | 0.0691 | 0.1429 | 0.0613 | 0.0302 | 0.0488 | 0.0664 | 0.1055 | 0.2109 | 0.235 | 0.0719 | 0.1561 | 0.2691 | 0.251 | 0.6528 | 0.001 | 0.021 | 0.0215 | 0.2225 | 0.0 | 0.0 | 0.0718 | 0.2788 |
| 2.6018 | 9.0 | 765 | 1.7886 | 0.1028 | 0.2122 | 0.0858 | 0.0201 | 0.054 | 0.1169 | 0.1442 | 0.2536 | 0.2822 | 0.0883 | 0.1797 | 0.3063 | 0.3617 | 0.6939 | 0.027 | 0.1613 | 0.0222 | 0.2551 | 0.0037 | 0.0104 | 0.0994 | 0.2905 |
| 2.6018 | 10.0 | 850 | 1.6817 | 0.1135 | 0.2311 | 0.1002 | 0.0256 | 0.0846 | 0.1063 | 0.1576 | 0.2748 | 0.3051 | 0.0412 | 0.2279 | 0.3475 | 0.3796 | 0.7344 | 0.0452 | 0.2161 | 0.0418 | 0.2809 | 0.0002 | 0.0063 | 0.1006 | 0.2878 |
| 2.6018 | 11.0 | 935 | 1.6006 | 0.1391 | 0.287 | 0.1155 | 0.0413 | 0.0785 | 0.1895 | 0.1755 | 0.3133 | 0.3397 | 0.1245 | 0.2614 | 0.4026 | 0.4634 | 0.7378 | 0.0706 | 0.2774 | 0.0425 | 0.3112 | 0.0025 | 0.025 | 0.1166 | 0.3471 |
| 1.8243 | 12.0 | 1020 | 1.6841 | 0.1332 | 0.2725 | 0.1113 | 0.0276 | 0.0543 | 0.1786 | 0.1706 | 0.3011 | 0.3159 | 0.0898 | 0.1761 | 0.4149 | 0.4214 | 0.7039 | 0.0525 | 0.229 | 0.0573 | 0.2742 | 0.0007 | 0.0417 | 0.1339 | 0.3307 |
| 1.8243 | 13.0 | 1105 | 1.5423 | 0.1664 | 0.3193 | 0.14 | 0.0784 | 0.1282 | 0.2017 | 0.2082 | 0.3567 | 0.3799 | 0.143 | 0.3117 | 0.4624 | 0.4832 | 0.7517 | 0.0636 | 0.3129 | 0.0754 | 0.3455 | 0.0215 | 0.1042 | 0.1886 | 0.3852 |
| 1.8243 | 14.0 | 1190 | 1.5372 | 0.1588 | 0.3226 | 0.1323 | 0.0513 | 0.0851 | 0.2026 | 0.1903 | 0.3321 | 0.3581 | 0.1392 | 0.2621 | 0.4049 | 0.4929 | 0.7467 | 0.0755 | 0.3032 | 0.0533 | 0.3309 | 0.0052 | 0.0833 | 0.1671 | 0.3265 |
| 1.8243 | 15.0 | 1275 | 1.5211 | 0.1724 | 0.3442 | 0.1384 | 0.0743 | 0.0986 | 0.2413 | 0.2149 | 0.3603 | 0.3804 | 0.15 | 0.2532 | 0.4776 | 0.481 | 0.7239 | 0.104 | 0.3145 | 0.0663 | 0.3528 | 0.0221 | 0.1688 | 0.1885 | 0.3418 |
| 1.8243 | 16.0 | 1360 | 1.4867 | 0.18 | 0.3647 | 0.1508 | 0.0638 | 0.1425 | 0.2643 | 0.2216 | 0.3898 | 0.4102 | 0.1252 | 0.3264 | 0.5482 | 0.5158 | 0.7661 | 0.0737 | 0.2855 | 0.0655 | 0.3275 | 0.0252 | 0.3021 | 0.2198 | 0.3698 |
| 1.8243 | 17.0 | 1445 | 1.4620 | 0.1878 | 0.3758 | 0.1547 | 0.0912 | 0.112 | 0.2571 | 0.2305 | 0.3948 | 0.4164 | 0.1873 | 0.2896 | 0.5613 | 0.4989 | 0.7539 | 0.074 | 0.329 | 0.0766 | 0.3225 | 0.042 | 0.3021 | 0.2476 | 0.3746 |
| 1.5166 | 18.0 | 1530 | 1.4209 | 0.1951 | 0.393 | 0.1661 | 0.0762 | 0.1327 | 0.2942 | 0.2479 | 0.4108 | 0.4321 | 0.1495 | 0.3271 | 0.5797 | 0.5089 | 0.7556 | 0.0801 | 0.3161 | 0.0869 | 0.3517 | 0.0602 | 0.3625 | 0.2395 | 0.3746 |
| 1.5166 | 19.0 | 1615 | 1.4394 | 0.1778 | 0.3697 | 0.1503 | 0.0828 | 0.0939 | 0.2597 | 0.2284 | 0.3856 | 0.4056 | 0.1251 | 0.2911 | 0.5356 | 0.5115 | 0.7333 | 0.0681 | 0.3323 | 0.0819 | 0.3292 | 0.0281 | 0.3 | 0.1993 | 0.3333 |
| 1.5166 | 20.0 | 1700 | 1.4189 | 0.1843 | 0.3738 | 0.1451 | 0.0553 | 0.1156 | 0.2765 | 0.2448 | 0.3994 | 0.4273 | 0.1161 | 0.338 | 0.5356 | 0.5098 | 0.7567 | 0.0647 | 0.3177 | 0.0832 | 0.364 | 0.0373 | 0.3458 | 0.2266 | 0.3524 |
| 1.5166 | 21.0 | 1785 | 1.4192 | 0.209 | 0.4249 | 0.1637 | 0.0943 | 0.1349 | 0.2795 | 0.2483 | 0.4171 | 0.443 | 0.1505 | 0.3501 | 0.5744 | 0.5389 | 0.7511 | 0.1055 | 0.3629 | 0.1052 | 0.3545 | 0.049 | 0.3854 | 0.2462 | 0.3608 |
| 1.5166 | 22.0 | 1870 | 1.3759 | 0.2164 | 0.424 | 0.1731 | 0.1037 | 0.133 | 0.3088 | 0.2593 | 0.4166 | 0.4373 | 0.2054 | 0.3142 | 0.5445 | 0.5466 | 0.7411 | 0.1236 | 0.3532 | 0.1138 | 0.3618 | 0.039 | 0.3521 | 0.2589 | 0.3783 |
| 1.5166 | 23.0 | 1955 | 1.3995 | 0.2144 | 0.4247 | 0.1782 | 0.1065 | 0.1411 | 0.3036 | 0.2741 | 0.4258 | 0.4447 | 0.1657 | 0.3348 | 0.588 | 0.5209 | 0.7478 | 0.0766 | 0.3532 | 0.1387 | 0.35 | 0.0599 | 0.4 | 0.2762 | 0.3725 |
| 1.3335 | 24.0 | 2040 | 1.3985 | 0.2096 | 0.4236 | 0.1725 | 0.066 | 0.1721 | 0.3041 | 0.2663 | 0.412 | 0.4366 | 0.127 | 0.3592 | 0.5603 | 0.5068 | 0.7589 | 0.0967 | 0.3274 | 0.1321 | 0.3287 | 0.0602 | 0.4021 | 0.2519 | 0.3661 |
| 1.3335 | 25.0 | 2125 | 1.3437 | 0.2262 | 0.4365 | 0.1996 | 0.116 | 0.195 | 0.3267 | 0.2729 | 0.4326 | 0.4501 | 0.2003 | 0.3913 | 0.5684 | 0.5386 | 0.7611 | 0.098 | 0.3677 | 0.1355 | 0.3562 | 0.0823 | 0.3812 | 0.2764 | 0.3841 |
| 1.3335 | 26.0 | 2210 | 1.3394 | 0.2273 | 0.4402 | 0.1994 | 0.1313 | 0.1695 | 0.3223 | 0.2697 | 0.4286 | 0.4491 | 0.1838 | 0.3522 | 0.603 | 0.552 | 0.7683 | 0.0979 | 0.3403 | 0.1437 | 0.373 | 0.0706 | 0.4021 | 0.2724 | 0.3619 |
| 1.3335 | 27.0 | 2295 | 1.3610 | 0.2457 | 0.4792 | 0.209 | 0.1341 | 0.1636 | 0.3294 | 0.2733 | 0.4292 | 0.443 | 0.1716 | 0.352 | 0.5693 | 0.5724 | 0.7478 | 0.106 | 0.3597 | 0.163 | 0.3691 | 0.1107 | 0.3604 | 0.2763 | 0.3778 |
| 1.3335 | 28.0 | 2380 | 1.3306 | 0.2382 | 0.4613 | 0.204 | 0.094 | 0.1493 | 0.355 | 0.2771 | 0.4543 | 0.4772 | 0.1796 | 0.375 | 0.6233 | 0.5641 | 0.7572 | 0.1047 | 0.3597 | 0.1508 | 0.3933 | 0.0708 | 0.4688 | 0.3004 | 0.4069 |
| 1.3335 | 29.0 | 2465 | 1.3467 | 0.2329 | 0.4588 | 0.1867 | 0.0908 | 0.1585 | 0.3364 | 0.2731 | 0.4368 | 0.4614 | 0.2115 | 0.3807 | 0.5879 | 0.5528 | 0.7506 | 0.0869 | 0.3855 | 0.1569 | 0.364 | 0.0976 | 0.4187 | 0.2701 | 0.3884 |
| 1.2098 | 30.0 | 2550 | 1.3040 | 0.2405 | 0.4684 | 0.1988 | 0.0967 | 0.1648 | 0.3661 | 0.2916 | 0.4535 | 0.4745 | 0.1839 | 0.3898 | 0.6246 | 0.5601 | 0.7489 | 0.1124 | 0.3823 | 0.165 | 0.377 | 0.0865 | 0.4646 | 0.2782 | 0.4 |
| 1.2098 | 31.0 | 2635 | 1.3243 | 0.2303 | 0.4668 | 0.1886 | 0.1071 | 0.1712 | 0.3252 | 0.2839 | 0.4507 | 0.4746 | 0.1955 | 0.3807 | 0.639 | 0.5402 | 0.7428 | 0.1085 | 0.3694 | 0.15 | 0.391 | 0.0889 | 0.4771 | 0.2639 | 0.3926 |
| 1.2098 | 32.0 | 2720 | 1.3032 | 0.2439 | 0.4722 | 0.1977 | 0.1023 | 0.1608 | 0.3506 | 0.2867 | 0.4453 | 0.47 | 0.2125 | 0.3839 | 0.597 | 0.5685 | 0.7556 | 0.1089 | 0.3774 | 0.1535 | 0.3747 | 0.0978 | 0.4354 | 0.2906 | 0.4069 |
| 1.2098 | 33.0 | 2805 | 1.2945 | 0.2491 | 0.4852 | 0.2148 | 0.1169 | 0.1539 | 0.3552 | 0.2932 | 0.4555 | 0.4754 | 0.1981 | 0.3771 | 0.6219 | 0.5846 | 0.755 | 0.1052 | 0.3984 | 0.1647 | 0.3747 | 0.0977 | 0.4396 | 0.2935 | 0.4095 |
| 1.2098 | 34.0 | 2890 | 1.3078 | 0.256 | 0.4961 | 0.2202 | 0.1505 | 0.1884 | 0.3566 | 0.2939 | 0.4495 | 0.4667 | 0.1925 | 0.3871 | 0.6014 | 0.563 | 0.7472 | 0.1068 | 0.3613 | 0.1649 | 0.3663 | 0.1464 | 0.4479 | 0.2989 | 0.4106 |
| 1.2098 | 35.0 | 2975 | 1.2884 | 0.2613 | 0.5125 | 0.2244 | 0.096 | 0.1776 | 0.3651 | 0.293 | 0.448 | 0.4621 | 0.1787 | 0.4024 | 0.6022 | 0.5816 | 0.7583 | 0.1365 | 0.3742 | 0.1676 | 0.3674 | 0.1175 | 0.3979 | 0.3034 | 0.4127 |
| 1.0602 | 36.0 | 3060 | 1.2815 | 0.2613 | 0.4981 | 0.2183 | 0.1174 | 0.18 | 0.3633 | 0.2981 | 0.4457 | 0.4618 | 0.1747 | 0.3881 | 0.5815 | 0.5799 | 0.7667 | 0.1394 | 0.371 | 0.1584 | 0.3702 | 0.1318 | 0.3979 | 0.2969 | 0.4032 |
| 1.0602 | 37.0 | 3145 | 1.2907 | 0.2499 | 0.4974 | 0.2101 | 0.1331 | 0.1679 | 0.3634 | 0.2973 | 0.4557 | 0.4728 | 0.1949 | 0.3897 | 0.6137 | 0.5517 | 0.7444 | 0.1308 | 0.3984 | 0.1616 | 0.3854 | 0.1044 | 0.4229 | 0.3009 | 0.4127 |
| 1.0602 | 38.0 | 3230 | 1.2805 | 0.2602 | 0.52 | 0.2108 | 0.1393 | 0.1888 | 0.3606 | 0.2966 | 0.4592 | 0.4762 | 0.1966 | 0.402 | 0.6078 | 0.5761 | 0.7556 | 0.1332 | 0.3742 | 0.1802 | 0.3809 | 0.1077 | 0.4542 | 0.3037 | 0.4164 |
| 1.0602 | 39.0 | 3315 | 1.2698 | 0.261 | 0.494 | 0.2242 | 0.14 | 0.1957 | 0.3475 | 0.2992 | 0.4674 | 0.4858 | 0.2292 | 0.4155 | 0.5978 | 0.5924 | 0.7567 | 0.1052 | 0.3903 | 0.1789 | 0.4056 | 0.1183 | 0.4479 | 0.31 | 0.4286 |
| 1.0602 | 40.0 | 3400 | 1.2609 | 0.2775 | 0.5241 | 0.242 | 0.1488 | 0.2006 | 0.3761 | 0.3033 | 0.4667 | 0.4845 | 0.216 | 0.4314 | 0.6122 | 0.5969 | 0.7522 | 0.1477 | 0.3984 | 0.2019 | 0.4096 | 0.1377 | 0.45 | 0.3033 | 0.4122 |
| 1.0602 | 41.0 | 3485 | 1.2572 | 0.2727 | 0.515 | 0.2386 | 0.1282 | 0.1983 | 0.3711 | 0.3018 | 0.459 | 0.4749 | 0.202 | 0.4185 | 0.6023 | 0.5941 | 0.7528 | 0.1339 | 0.3823 | 0.1862 | 0.3899 | 0.1427 | 0.4396 | 0.3066 | 0.4101 |
| 0.9738 | 42.0 | 3570 | 1.2510 | 0.2736 | 0.5131 | 0.2353 | 0.1534 | 0.1923 | 0.3905 | 0.3077 | 0.4753 | 0.4862 | 0.2183 | 0.412 | 0.6298 | 0.6055 | 0.7628 | 0.1376 | 0.3871 | 0.1884 | 0.3876 | 0.1201 | 0.4729 | 0.3161 | 0.4206 |
| 0.9738 | 43.0 | 3655 | 1.2695 | 0.2762 | 0.5243 | 0.2381 | 0.1287 | 0.1941 | 0.3775 | 0.3089 | 0.4632 | 0.4778 | 0.1805 | 0.4073 | 0.6117 | 0.6051 | 0.7678 | 0.1495 | 0.4048 | 0.1927 | 0.3781 | 0.1232 | 0.4208 | 0.3105 | 0.4175 |
| 0.9738 | 44.0 | 3740 | 1.2572 | 0.2734 | 0.5133 | 0.2436 | 0.1276 | 0.1833 | 0.3786 | 0.3056 | 0.4713 | 0.488 | 0.1853 | 0.4108 | 0.6138 | 0.6044 | 0.7628 | 0.1442 | 0.4113 | 0.1882 | 0.3831 | 0.1252 | 0.4688 | 0.3051 | 0.4143 |
| 0.9738 | 45.0 | 3825 | 1.2702 | 0.2776 | 0.5164 | 0.249 | 0.1282 | 0.2003 | 0.3858 | 0.3099 | 0.4648 | 0.4802 | 0.1957 | 0.4204 | 0.5994 | 0.6041 | 0.7656 | 0.1466 | 0.3806 | 0.1912 | 0.386 | 0.1381 | 0.4542 | 0.3081 | 0.4148 |
| 0.9738 | 46.0 | 3910 | 1.2658 | 0.2784 | 0.5212 | 0.2503 | 0.1457 | 0.1963 | 0.3952 | 0.3164 | 0.4727 | 0.4861 | 0.2016 | 0.4174 | 0.6137 | 0.6031 | 0.7722 | 0.1508 | 0.3968 | 0.1914 | 0.3792 | 0.1414 | 0.4708 | 0.3053 | 0.4116 |
| 0.9738 | 47.0 | 3995 | 1.2724 | 0.2805 | 0.5217 | 0.2477 | 0.1289 | 0.2009 | 0.3915 | 0.3092 | 0.4748 | 0.487 | 0.2106 | 0.4097 | 0.6215 | 0.5991 | 0.7672 | 0.1565 | 0.4048 | 0.1881 | 0.373 | 0.1551 | 0.4771 | 0.3038 | 0.4127 |
| 0.9058 | 48.0 | 4080 | 1.2603 | 0.2761 | 0.5235 | 0.2386 | 0.1343 | 0.196 | 0.376 | 0.304 | 0.4708 | 0.4827 | 0.2198 | 0.4073 | 0.5984 | 0.5976 | 0.7622 | 0.1582 | 0.421 | 0.1824 | 0.3826 | 0.14 | 0.4354 | 0.3024 | 0.4122 |
| 0.9058 | 49.0 | 4165 | 1.2626 | 0.2787 | 0.5264 | 0.2444 | 0.1316 | 0.1989 | 0.3758 | 0.3088 | 0.4785 | 0.4893 | 0.199 | 0.419 | 0.6087 | 0.5961 | 0.765 | 0.1573 | 0.4242 | 0.189 | 0.3921 | 0.1455 | 0.45 | 0.3058 | 0.4153 |
| 0.9058 | 50.0 | 4250 | 1.2636 | 0.2812 | 0.5274 | 0.242 | 0.1369 | 0.202 | 0.3818 | 0.3077 | 0.4751 | 0.4872 | 0.2071 | 0.4203 | 0.6132 | 0.6019 | 0.7678 | 0.1587 | 0.4161 | 0.1883 | 0.3792 | 0.1509 | 0.4604 | 0.3062 | 0.4127 |
### Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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