File size: 13,022 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/mustoof/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: 1.1071
- Map: 0.119
- Map 50: 0.1821
- Map 75: 0.136
- Map Small: -1.0
- Map Medium: 0.1842
- Map Large: 0.1216
- Mar 1: 0.2314
- Mar 10: 0.6086
- Mar 100: 0.6743
- Mar Small: -1.0
- Mar Medium: 0.56
- Mar Large: 0.727
- Map Coverall: 0.4874
- Mar 100 Coverall: 0.7564
- Map Face Shield: 0.0248
- Mar 100 Face Shield: 0.575
- Map Gloves: 0.0054
- Mar 100 Gloves: 0.56
- Map Goggles: 0.027
- Mar 100 Goggles: 0.68
- Map Mask: 0.0505
- Mar 100 Mask: 0.8
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:------------:|:----------------:|:---------------:|:-------------------:|:----------:|:--------------:|:-----------:|:---------------:|:--------:|:------------:|
| No log | 1.0 | 107 | 2.7611 | 0.0058 | 0.0136 | 0.0049 | -1.0 | 0.016 | 0.0057 | 0.016 | 0.0482 | 0.0844 | -1.0 | 0.125 | 0.0842 | 0.0289 | 0.4096 | 0.0 | 0.0125 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 2.0 | 214 | 2.2915 | 0.0036 | 0.0078 | 0.0023 | -1.0 | 0.0325 | 0.0034 | 0.0226 | 0.0449 | 0.087 | -1.0 | 0.12 | 0.0854 | 0.0178 | 0.3351 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0001 | 0.1 |
| No log | 3.0 | 321 | 1.7695 | 0.0143 | 0.0229 | 0.0177 | -1.0 | 0.0578 | 0.0142 | 0.0421 | 0.083 | 0.1268 | -1.0 | 0.19 | 0.1254 | 0.0713 | 0.634 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 4.0 | 428 | 1.5482 | 0.0206 | 0.0343 | 0.0208 | -1.0 | 0.0673 | 0.0224 | 0.0787 | 0.1221 | 0.1723 | -1.0 | 0.19 | 0.1905 | 0.0847 | 0.7213 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0184 | 0.14 | 0.0 | 0.0 |
| 8.1722 | 5.0 | 535 | 1.6674 | 0.0127 | 0.0223 | 0.0142 | -1.0 | 0.1018 | 0.0101 | 0.0511 | 0.0885 | 0.1298 | -1.0 | 0.155 | 0.1301 | 0.0635 | 0.6489 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 8.1722 | 6.0 | 642 | 1.4786 | 0.0242 | 0.0357 | 0.0272 | -1.0 | 0.0635 | 0.0231 | 0.0657 | 0.1138 | 0.1445 | -1.0 | 0.17 | 0.1449 | 0.1208 | 0.7223 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 8.1722 | 7.0 | 749 | 1.4341 | 0.0448 | 0.0671 | 0.0503 | -1.0 | 0.0718 | 0.0443 | 0.0859 | 0.1678 | 0.1829 | -1.0 | 0.175 | 0.2087 | 0.2228 | 0.7096 | 0.0002 | 0.025 | 0.001 | 0.18 | 0.0 | 0.0 | 0.0 | 0.0 |
| 8.1722 | 8.0 | 856 | 1.4775 | 0.0498 | 0.0824 | 0.0568 | -1.0 | 0.1009 | 0.0481 | 0.1031 | 0.1506 | 0.1821 | -1.0 | 0.2 | 0.2049 | 0.2468 | 0.7128 | 0.0002 | 0.0375 | 0.0005 | 0.08 | 0.0017 | 0.08 | 0.0 | 0.0 |
| 8.1722 | 9.0 | 963 | 1.3853 | 0.0627 | 0.1041 | 0.0708 | -1.0 | 0.1217 | 0.0612 | 0.1123 | 0.2701 | 0.3004 | -1.0 | 0.2775 | 0.3649 | 0.3074 | 0.6947 | 0.0026 | 0.2875 | 0.0019 | 0.2 | 0.0014 | 0.32 | 0.0 | 0.0 |
| 1.4178 | 10.0 | 1070 | 1.3820 | 0.0701 | 0.1267 | 0.0751 | -1.0 | 0.1374 | 0.0686 | 0.117 | 0.2942 | 0.3127 | -1.0 | 0.2875 | 0.3709 | 0.342 | 0.6883 | 0.0039 | 0.375 | 0.0029 | 0.2 | 0.0014 | 0.3 | 0.0 | 0.0 |
| 1.4178 | 11.0 | 1177 | 1.3366 | 0.0698 | 0.1208 | 0.0775 | -1.0 | 0.124 | 0.0691 | 0.1075 | 0.4472 | 0.484 | -1.0 | 0.3425 | 0.5427 | 0.3325 | 0.7351 | 0.0044 | 0.525 | 0.0031 | 0.22 | 0.002 | 0.24 | 0.0071 | 0.7 |
| 1.4178 | 12.0 | 1284 | 1.3058 | 0.0817 | 0.1354 | 0.0891 | -1.0 | 0.1416 | 0.0813 | 0.2395 | 0.4439 | 0.4698 | -1.0 | 0.3625 | 0.5161 | 0.3898 | 0.734 | 0.0065 | 0.375 | 0.0028 | 0.22 | 0.0025 | 0.42 | 0.0068 | 0.6 |
| 1.4178 | 13.0 | 1391 | 1.2480 | 0.0775 | 0.1292 | 0.0829 | -1.0 | 0.1393 | 0.0771 | 0.1652 | 0.3109 | 0.3654 | -1.0 | 0.3375 | 0.429 | 0.373 | 0.7319 | 0.0087 | 0.475 | 0.0032 | 0.18 | 0.0027 | 0.44 | 0.0 | 0.0 |
| 1.4178 | 14.0 | 1498 | 1.2472 | 0.0797 | 0.1382 | 0.0819 | -1.0 | 0.1505 | 0.0789 | 0.1525 | 0.498 | 0.5423 | -1.0 | 0.3975 | 0.609 | 0.3821 | 0.734 | 0.0078 | 0.5375 | 0.0027 | 0.3 | 0.0033 | 0.44 | 0.0024 | 0.7 |
| 1.1690 | 15.0 | 1605 | 1.2123 | 0.0849 | 0.1444 | 0.0808 | -1.0 | 0.1522 | 0.0847 | 0.1422 | 0.5243 | 0.5655 | -1.0 | 0.4475 | 0.6276 | 0.4026 | 0.7277 | 0.0057 | 0.5 | 0.0066 | 0.5 | 0.0047 | 0.4 | 0.0049 | 0.7 |
| 1.1690 | 16.0 | 1712 | 1.2066 | 0.0854 | 0.1443 | 0.0925 | -1.0 | 0.1542 | 0.085 | 0.1481 | 0.4081 | 0.4502 | -1.0 | 0.425 | 0.527 | 0.4085 | 0.7383 | 0.0093 | 0.5125 | 0.0057 | 0.5 | 0.0034 | 0.5 | 0.0 | 0.0 |
| 1.1690 | 17.0 | 1819 | 1.1714 | 0.0917 | 0.1473 | 0.1008 | -1.0 | 0.1494 | 0.0922 | 0.2175 | 0.5282 | 0.5724 | -1.0 | 0.3475 | 0.6707 | 0.433 | 0.7372 | 0.0101 | 0.525 | 0.0047 | 0.44 | 0.0053 | 0.46 | 0.0052 | 0.7 |
| 1.1690 | 18.0 | 1926 | 1.1608 | 0.0901 | 0.1484 | 0.0969 | -1.0 | 0.1562 | 0.0903 | 0.1703 | 0.5521 | 0.6052 | -1.0 | 0.42 | 0.6923 | 0.4276 | 0.7309 | 0.0064 | 0.575 | 0.0055 | 0.54 | 0.005 | 0.48 | 0.0061 | 0.7 |
| 1.0151 | 19.0 | 2033 | 1.1450 | 0.0951 | 0.1492 | 0.1036 | -1.0 | 0.177 | 0.0959 | 0.3218 | 0.5073 | 0.6137 | -1.0 | 0.4175 | 0.7028 | 0.442 | 0.7511 | 0.0099 | 0.5375 | 0.0059 | 0.52 | 0.007 | 0.46 | 0.0105 | 0.8 |
| 1.0151 | 20.0 | 2140 | 1.1344 | 0.0979 | 0.1543 | 0.1089 | -1.0 | 0.1594 | 0.0996 | 0.341 | 0.5887 | 0.6667 | -1.0 | 0.4675 | 0.7528 | 0.4476 | 0.7511 | 0.0162 | 0.5625 | 0.0079 | 0.6 | 0.0077 | 0.52 | 0.0102 | 0.9 |
| 1.0151 | 21.0 | 2247 | 1.1657 | 0.1037 | 0.1633 | 0.1141 | -1.0 | 0.1682 | 0.1061 | 0.3075 | 0.5472 | 0.6255 | -1.0 | 0.41 | 0.7134 | 0.4508 | 0.75 | 0.0168 | 0.5375 | 0.0103 | 0.56 | 0.0069 | 0.48 | 0.0338 | 0.8 |
| 1.0151 | 22.0 | 2354 | 1.1491 | 0.1081 | 0.1674 | 0.1197 | -1.0 | 0.1782 | 0.1084 | 0.3143 | 0.5535 | 0.6441 | -1.0 | 0.4275 | 0.739 | 0.4672 | 0.7457 | 0.0164 | 0.575 | 0.0061 | 0.58 | 0.0075 | 0.52 | 0.0434 | 0.8 |
| 1.0151 | 23.0 | 2461 | 1.1182 | 0.1158 | 0.1798 | 0.1327 | -1.0 | 0.196 | 0.117 | 0.3346 | 0.6329 | 0.6785 | -1.0 | 0.5225 | 0.7506 | 0.4786 | 0.7574 | 0.0295 | 0.575 | 0.0069 | 0.6 | 0.0133 | 0.66 | 0.0506 | 0.8 |
| 0.8994 | 24.0 | 2568 | 1.1254 | 0.1117 | 0.1729 | 0.1259 | -1.0 | 0.1871 | 0.1131 | 0.3556 | 0.5712 | 0.6801 | -1.0 | 0.5775 | 0.7294 | 0.4814 | 0.7532 | 0.0261 | 0.5875 | 0.007 | 0.6 | 0.0101 | 0.66 | 0.034 | 0.8 |
| 0.8994 | 25.0 | 2675 | 1.1163 | 0.1161 | 0.1794 | 0.1314 | -1.0 | 0.1911 | 0.1178 | 0.3531 | 0.5695 | 0.637 | -1.0 | 0.565 | 0.6903 | 0.4819 | 0.7574 | 0.0292 | 0.5875 | 0.0053 | 0.58 | 0.0214 | 0.66 | 0.0429 | 0.6 |
| 0.8994 | 26.0 | 2782 | 1.1205 | 0.118 | 0.1809 | 0.1349 | -1.0 | 0.1959 | 0.1202 | 0.2354 | 0.6258 | 0.6771 | -1.0 | 0.5775 | 0.7266 | 0.4827 | 0.7553 | 0.0231 | 0.55 | 0.0056 | 0.56 | 0.0281 | 0.72 | 0.0505 | 0.8 |
| 0.8994 | 27.0 | 2889 | 1.1166 | 0.118 | 0.1792 | 0.134 | -1.0 | 0.1777 | 0.121 | 0.2436 | 0.6389 | 0.6855 | -1.0 | 0.5675 | 0.7408 | 0.4904 | 0.7574 | 0.0257 | 0.55 | 0.006 | 0.6 | 0.0277 | 0.72 | 0.0406 | 0.8 |
| 0.8994 | 28.0 | 2996 | 1.1101 | 0.1192 | 0.1809 | 0.1354 | -1.0 | 0.1929 | 0.1217 | 0.217 | 0.6088 | 0.672 | -1.0 | 0.56 | 0.7239 | 0.492 | 0.7574 | 0.021 | 0.5625 | 0.0054 | 0.56 | 0.027 | 0.68 | 0.0505 | 0.8 |
| 0.8507 | 29.0 | 3103 | 1.1055 | 0.119 | 0.1821 | 0.136 | -1.0 | 0.1841 | 0.1216 | 0.2314 | 0.6061 | 0.6747 | -1.0 | 0.56 | 0.7275 | 0.4874 | 0.7585 | 0.0248 | 0.575 | 0.0054 | 0.56 | 0.027 | 0.68 | 0.0505 | 0.8 |
| 0.8507 | 30.0 | 3210 | 1.1071 | 0.119 | 0.1821 | 0.136 | -1.0 | 0.1842 | 0.1216 | 0.2314 | 0.6086 | 0.6743 | -1.0 | 0.56 | 0.727 | 0.4874 | 0.7564 | 0.0248 | 0.575 | 0.0054 | 0.56 | 0.027 | 0.68 | 0.0505 | 0.8 |
### Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
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