File size: 13,036 Bytes
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library_name: transformers
license: apache-2.0
base_model: microsoft/conditional-detr-resnet-50
tags:
- trackio
- trackio:https://huggingface.co/spaces/ltsach/trackio
- generated_from_trainer
model-index:
- name: detr_finetuned_cppe5
results: []
---
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# detr_finetuned_cppe5
This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-detr-resnet-50) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1579
- Map: 0.2495
- Map 50: 0.4949
- Map 75: 0.2208
- Map Small: 0.0806
- Map Medium: 0.2034
- Map Large: 0.3815
- Mar 1: 0.268
- Mar 10: 0.4302
- Mar 100: 0.4537
- Mar Small: 0.2235
- Mar Medium: 0.394
- Mar Large: 0.6242
- Map Coverall: 0.5281
- Mar 100 Coverall: 0.6599
- Map Face Shield: 0.2108
- Mar 100 Face Shield: 0.4962
- Map Gloves: 0.1707
- Mar 100 Gloves: 0.3638
- Map Goggles: 0.0772
- Mar 100 Goggles: 0.3523
- Map Mask: 0.2606
- Mar 100 Mask: 0.3964
## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- 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 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:------------:|:----------------:|:---------------:|:-------------------:|:----------:|:--------------:|:-----------:|:---------------:|:--------:|:------------:|
| 1.3904 | 1.0 | 107 | 1.5083 | 0.0425 | 0.0993 | 0.033 | 0.0088 | 0.0413 | 0.0549 | 0.0985 | 0.2312 | 0.2861 | 0.1072 | 0.2358 | 0.3825 | 0.1267 | 0.5932 | 0.0108 | 0.1532 | 0.0079 | 0.2286 | 0.0172 | 0.1338 | 0.05 | 0.3218 |
| 1.4355 | 2.0 | 214 | 1.5315 | 0.0434 | 0.0973 | 0.0343 | 0.0099 | 0.0463 | 0.0588 | 0.1042 | 0.2502 | 0.2972 | 0.1328 | 0.2279 | 0.4207 | 0.1206 | 0.5779 | 0.0105 | 0.2291 | 0.0054 | 0.1951 | 0.0246 | 0.1662 | 0.0561 | 0.3178 |
| 1.3633 | 3.0 | 321 | 1.5007 | 0.0563 | 0.1211 | 0.0455 | 0.0247 | 0.0423 | 0.0709 | 0.1368 | 0.2808 | 0.3257 | 0.1546 | 0.2595 | 0.441 | 0.1599 | 0.5532 | 0.0372 | 0.3278 | 0.0204 | 0.2629 | 0.0076 | 0.1723 | 0.0563 | 0.3124 |
| 1.3152 | 4.0 | 428 | 1.4325 | 0.0729 | 0.1569 | 0.0583 | 0.0196 | 0.079 | 0.1072 | 0.1636 | 0.3276 | 0.366 | 0.1756 | 0.3004 | 0.5015 | 0.2057 | 0.6288 | 0.0251 | 0.319 | 0.0203 | 0.2656 | 0.0133 | 0.2585 | 0.0998 | 0.3582 |
| 1.3114 | 5.0 | 535 | 1.4133 | 0.1027 | 0.2292 | 0.0797 | 0.0288 | 0.0799 | 0.1398 | 0.1595 | 0.3218 | 0.3679 | 0.1695 | 0.2976 | 0.508 | 0.3269 | 0.6441 | 0.0455 | 0.3696 | 0.0323 | 0.2714 | 0.0231 | 0.2277 | 0.0857 | 0.3267 |
| 1.2541 | 6.0 | 642 | 1.3576 | 0.1221 | 0.2666 | 0.101 | 0.0406 | 0.0914 | 0.178 | 0.1725 | 0.3508 | 0.3919 | 0.1641 | 0.3407 | 0.544 | 0.3771 | 0.6194 | 0.0522 | 0.3785 | 0.0439 | 0.3036 | 0.0205 | 0.2954 | 0.1166 | 0.3627 |
| 1.2322 | 7.0 | 749 | 1.3661 | 0.1434 | 0.3288 | 0.1109 | 0.0561 | 0.1086 | 0.2285 | 0.1857 | 0.3527 | 0.3819 | 0.1775 | 0.3229 | 0.5473 | 0.3764 | 0.591 | 0.0696 | 0.3772 | 0.0671 | 0.3071 | 0.0344 | 0.2815 | 0.1694 | 0.3524 |
| 1.1572 | 8.0 | 856 | 1.3589 | 0.1515 | 0.3342 | 0.1251 | 0.0479 | 0.1199 | 0.2364 | 0.194 | 0.3618 | 0.3967 | 0.1697 | 0.3353 | 0.5657 | 0.4184 | 0.6311 | 0.0698 | 0.3734 | 0.0669 | 0.3022 | 0.0492 | 0.3308 | 0.1531 | 0.3458 |
| 1.2476 | 9.0 | 963 | 1.3140 | 0.1736 | 0.3776 | 0.1405 | 0.0635 | 0.135 | 0.2629 | 0.2002 | 0.3733 | 0.4001 | 0.1785 | 0.3384 | 0.564 | 0.4229 | 0.6068 | 0.1058 | 0.4152 | 0.0785 | 0.3089 | 0.0477 | 0.2923 | 0.2133 | 0.3773 |
| 1.1068 | 10.0 | 1070 | 1.2897 | 0.1833 | 0.3864 | 0.1454 | 0.0519 | 0.1526 | 0.2751 | 0.2036 | 0.382 | 0.4125 | 0.1737 | 0.3679 | 0.5695 | 0.4626 | 0.636 | 0.1026 | 0.4152 | 0.0922 | 0.3214 | 0.0464 | 0.3154 | 0.2127 | 0.3747 |
| 1.0924 | 11.0 | 1177 | 1.2928 | 0.19 | 0.39 | 0.1708 | 0.0625 | 0.1656 | 0.2961 | 0.2231 | 0.3905 | 0.415 | 0.1695 | 0.3715 | 0.5777 | 0.4453 | 0.6329 | 0.1172 | 0.4329 | 0.104 | 0.3067 | 0.0488 | 0.3169 | 0.2349 | 0.3858 |
| 1.0815 | 12.0 | 1284 | 1.2469 | 0.1932 | 0.3938 | 0.1744 | 0.066 | 0.163 | 0.285 | 0.2314 | 0.3999 | 0.4306 | 0.2187 | 0.3844 | 0.58 | 0.4791 | 0.6455 | 0.1181 | 0.4633 | 0.1138 | 0.3219 | 0.0302 | 0.3308 | 0.2249 | 0.3916 |
| 0.9654 | 13.0 | 1391 | 1.2620 | 0.1957 | 0.4117 | 0.1578 | 0.061 | 0.1573 | 0.315 | 0.217 | 0.3928 | 0.4195 | 0.1949 | 0.3675 | 0.591 | 0.4711 | 0.6189 | 0.1026 | 0.4658 | 0.1242 | 0.3348 | 0.0525 | 0.3169 | 0.2281 | 0.3609 |
| 1.0344 | 14.0 | 1498 | 1.2480 | 0.2032 | 0.4333 | 0.1706 | 0.0627 | 0.1677 | 0.3162 | 0.2219 | 0.3986 | 0.4257 | 0.182 | 0.3722 | 0.592 | 0.4569 | 0.6252 | 0.1292 | 0.4646 | 0.1273 | 0.3326 | 0.0663 | 0.3354 | 0.2361 | 0.3707 |
| 0.9800 | 15.0 | 1605 | 1.2364 | 0.2043 | 0.4125 | 0.1697 | 0.0626 | 0.1567 | 0.3202 | 0.2274 | 0.3959 | 0.4233 | 0.2061 | 0.3551 | 0.6018 | 0.4874 | 0.6428 | 0.1198 | 0.4456 | 0.13 | 0.3232 | 0.0571 | 0.3185 | 0.2273 | 0.3862 |
| 0.9920 | 16.0 | 1712 | 1.2259 | 0.2122 | 0.429 | 0.1792 | 0.0687 | 0.1776 | 0.3262 | 0.2318 | 0.3954 | 0.4231 | 0.2187 | 0.3667 | 0.5867 | 0.4822 | 0.632 | 0.138 | 0.4582 | 0.1389 | 0.3438 | 0.0504 | 0.3 | 0.2516 | 0.3813 |
| 0.9609 | 17.0 | 1819 | 1.1948 | 0.2188 | 0.4393 | 0.1895 | 0.0736 | 0.1829 | 0.3414 | 0.2509 | 0.4222 | 0.4491 | 0.1934 | 0.3996 | 0.6267 | 0.5092 | 0.6532 | 0.1464 | 0.4937 | 0.1366 | 0.35 | 0.0507 | 0.3646 | 0.251 | 0.384 |
| 0.9842 | 18.0 | 1926 | 1.2143 | 0.2222 | 0.4586 | 0.1923 | 0.0736 | 0.182 | 0.3508 | 0.2499 | 0.4106 | 0.4363 | 0.1898 | 0.3814 | 0.6099 | 0.4979 | 0.6297 | 0.1588 | 0.4785 | 0.1441 | 0.3464 | 0.0649 | 0.3477 | 0.2452 | 0.3791 |
| 0.8698 | 19.0 | 2033 | 1.1819 | 0.2249 | 0.4546 | 0.198 | 0.0697 | 0.1803 | 0.3599 | 0.2514 | 0.4163 | 0.4472 | 0.2163 | 0.3951 | 0.6158 | 0.5046 | 0.6414 | 0.1375 | 0.4772 | 0.1437 | 0.3607 | 0.0763 | 0.3569 | 0.2625 | 0.3996 |
| 0.9176 | 20.0 | 2140 | 1.1899 | 0.2321 | 0.4699 | 0.2056 | 0.0787 | 0.177 | 0.3648 | 0.2526 | 0.413 | 0.442 | 0.2096 | 0.3817 | 0.6086 | 0.5129 | 0.6455 | 0.1764 | 0.4785 | 0.1478 | 0.35 | 0.0706 | 0.3477 | 0.2529 | 0.3884 |
| 0.8637 | 21.0 | 2247 | 1.1829 | 0.2404 | 0.4759 | 0.2108 | 0.0801 | 0.1867 | 0.375 | 0.26 | 0.4172 | 0.4437 | 0.1841 | 0.3827 | 0.622 | 0.5132 | 0.645 | 0.1886 | 0.4911 | 0.1582 | 0.3549 | 0.0802 | 0.3354 | 0.2617 | 0.392 |
| 0.8864 | 22.0 | 2354 | 1.1781 | 0.243 | 0.4871 | 0.2134 | 0.0826 | 0.1984 | 0.3686 | 0.2534 | 0.4195 | 0.4486 | 0.2257 | 0.396 | 0.6139 | 0.5157 | 0.6459 | 0.1946 | 0.4823 | 0.1633 | 0.3661 | 0.0798 | 0.3569 | 0.2617 | 0.392 |
| 0.8269 | 23.0 | 2461 | 1.1687 | 0.2431 | 0.486 | 0.2094 | 0.0798 | 0.196 | 0.3741 | 0.2582 | 0.4264 | 0.4519 | 0.2217 | 0.3969 | 0.6152 | 0.5223 | 0.6486 | 0.1995 | 0.5025 | 0.1636 | 0.3594 | 0.0782 | 0.3569 | 0.252 | 0.392 |
| 0.7634 | 24.0 | 2568 | 1.1664 | 0.2404 | 0.4757 | 0.2176 | 0.074 | 0.191 | 0.3813 | 0.2626 | 0.4232 | 0.449 | 0.2162 | 0.3877 | 0.6168 | 0.5211 | 0.6568 | 0.1904 | 0.481 | 0.1686 | 0.3607 | 0.0639 | 0.3462 | 0.2581 | 0.4004 |
| 0.8207 | 25.0 | 2675 | 1.1625 | 0.2457 | 0.4891 | 0.219 | 0.0767 | 0.1984 | 0.3796 | 0.2648 | 0.4269 | 0.4558 | 0.227 | 0.3919 | 0.6287 | 0.5263 | 0.6617 | 0.2005 | 0.4899 | 0.1714 | 0.3679 | 0.0708 | 0.36 | 0.2596 | 0.3996 |
| 0.8060 | 26.0 | 2782 | 1.1632 | 0.2483 | 0.4943 | 0.2161 | 0.0824 | 0.2018 | 0.3852 | 0.264 | 0.4272 | 0.4548 | 0.2313 | 0.3968 | 0.6227 | 0.5257 | 0.6604 | 0.2044 | 0.4886 | 0.1703 | 0.3692 | 0.0805 | 0.3569 | 0.2607 | 0.3991 |
| 0.8176 | 27.0 | 2889 | 1.1607 | 0.2477 | 0.4934 | 0.2184 | 0.0823 | 0.2021 | 0.3803 | 0.2666 | 0.429 | 0.4533 | 0.2279 | 0.3949 | 0.6226 | 0.525 | 0.6622 | 0.2063 | 0.4861 | 0.1695 | 0.3679 | 0.0782 | 0.3538 | 0.2597 | 0.3964 |
| 0.8128 | 28.0 | 2996 | 1.1585 | 0.2485 | 0.4935 | 0.2181 | 0.0809 | 0.2011 | 0.38 | 0.2669 | 0.4287 | 0.4548 | 0.2254 | 0.3923 | 0.6282 | 0.5284 | 0.6599 | 0.2089 | 0.4911 | 0.1691 | 0.3656 | 0.0774 | 0.3615 | 0.2587 | 0.3956 |
| 0.7873 | 29.0 | 3103 | 1.1576 | 0.2497 | 0.4949 | 0.2209 | 0.0806 | 0.2034 | 0.3822 | 0.2682 | 0.4304 | 0.4535 | 0.2235 | 0.3934 | 0.6244 | 0.5284 | 0.6608 | 0.2116 | 0.4937 | 0.1706 | 0.3638 | 0.0772 | 0.3523 | 0.2609 | 0.3969 |
| 0.8835 | 30.0 | 3210 | 1.1579 | 0.2495 | 0.4949 | 0.2208 | 0.0806 | 0.2034 | 0.3815 | 0.268 | 0.4302 | 0.4537 | 0.2235 | 0.394 | 0.6242 | 0.5281 | 0.6599 | 0.2108 | 0.4962 | 0.1707 | 0.3638 | 0.0772 | 0.3523 | 0.2606 | 0.3964 |
### Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
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