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---
library_name: transformers
license: apache-2.0
base_model: b09501048/detr2
tags:
- generated_from_trainer
model-index:
- name: detr3
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. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/djengo890-national-taiwan-university/CVDPL_HW1_DETR/runs/cwd9gy2d)
# detr3
This model is a fine-tuned version of [b09501048/detr2](https://huggingface.co/b09501048/detr2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7425
- Map: 0.1113
- Map 50: 0.2054
- Map 75: 0.1062
- Map Small: 0.0008
- Map Medium: 0.0074
- Map Large: 0.131
- Mar 1: 0.0965
- Mar 10: 0.169
- Mar 100: 0.1747
- Mar Small: 0.001
- Mar Medium: 0.0244
- Mar Large: 0.2102
- Map Person: 0.5378
- Mar 100 Person: 0.6529
- Map Ear: 0.0933
- Mar 100 Ear: 0.2379
- Map Earmuffs: 0.0
- Mar 100 Earmuffs: 0.0
- Map Face: 0.4246
- Mar 100 Face: 0.5219
- Map Face-guard: 0.0
- Mar 100 Face-guard: 0.0
- Map Face-mask-medical: 0.0
- Mar 100 Face-mask-medical: 0.0
- Map Foot: 0.0
- Mar 100 Foot: 0.0
- Map Tools: 0.0131
- Mar 100 Tools: 0.1422
- Map Glasses: 0.0232
- Mar 100 Glasses: 0.2111
- Map Gloves: 0.007
- Mar 100 Gloves: 0.0638
- Map Helmet: 0.0022
- Mar 100 Helmet: 0.0084
- Map Hands: 0.2866
- Mar 100 Hands: 0.4328
- Map Head: 0.4538
- Mar 100 Head: 0.5218
- Map Medical-suit: 0.0
- Mar 100 Medical-suit: 0.0
- Map Shoes: 0.0499
- Mar 100 Shoes: 0.1768
- Map Safety-suit: 0.0
- Mar 100 Safety-suit: 0.0
- Map Safety-vest: 0.0
- Mar 100 Safety-vest: 0.0
## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 10
- mixed_precision_training: Native AMP
### 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 Person | Mar 100 Person | Map Ear | Mar 100 Ear | Map Earmuffs | Mar 100 Earmuffs | Map Face | Mar 100 Face | Map Face-guard | Mar 100 Face-guard | Map Face-mask-medical | Mar 100 Face-mask-medical | Map Foot | Mar 100 Foot | Map Tools | Mar 100 Tools | Map Glasses | Mar 100 Glasses | Map Gloves | Mar 100 Gloves | Map Helmet | Mar 100 Helmet | Map Hands | Mar 100 Hands | Map Head | Mar 100 Head | Map Medical-suit | Mar 100 Medical-suit | Map Shoes | Mar 100 Shoes | Map Safety-suit | Mar 100 Safety-suit | Map Safety-vest | Mar 100 Safety-vest |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:----------:|:--------------:|:-------:|:-----------:|:------------:|:----------------:|:--------:|:------------:|:--------------:|:------------------:|:---------------------:|:-------------------------:|:--------:|:------------:|:---------:|:-------------:|:-----------:|:---------------:|:----------:|:--------------:|:----------:|:--------------:|:---------:|:-------------:|:--------:|:------------:|:----------------:|:--------------------:|:---------:|:-------------:|:---------------:|:-------------------:|:---------------:|:-------------------:|
| No log | 1.0 | 230 | 2.0522 | 0.0803 | 0.1607 | 0.0725 | 0.0 | 0.0034 | 0.0929 | 0.0724 | 0.1318 | 0.1363 | 0.0 | 0.0112 | 0.1631 | 0.3995 | 0.5836 | 0.0156 | 0.1468 | 0.0 | 0.0 | 0.3369 | 0.4425 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0028 | 0.0751 | 0.0114 | 0.1396 | 0.001 | 0.0047 | 0.0 | 0.0 | 0.1877 | 0.3376 | 0.4006 | 0.4755 | 0.0 | 0.0 | 0.0091 | 0.1115 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 2.0 | 460 | 2.2256 | 0.0769 | 0.1575 | 0.0633 | 0.0 | 0.0046 | 0.0888 | 0.0681 | 0.1248 | 0.1291 | 0.0 | 0.0146 | 0.1528 | 0.4126 | 0.5645 | 0.0134 | 0.1174 | 0.0 | 0.0 | 0.3003 | 0.4032 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0007 | 0.0526 | 0.0056 | 0.1271 | 0.0002 | 0.0024 | 0.0 | 0.0 | 0.2003 | 0.3635 | 0.3566 | 0.4506 | 0.0 | 0.0 | 0.018 | 0.1128 | 0.0 | 0.0 | 0.0 | 0.0 |
| 2.2077 | 3.0 | 690 | 2.0148 | 0.0862 | 0.1699 | 0.0781 | 0.0 | 0.0031 | 0.1 | 0.0788 | 0.1402 | 0.1451 | 0.0 | 0.0108 | 0.1745 | 0.4617 | 0.5927 | 0.0353 | 0.1895 | 0.0 | 0.0 | 0.345 | 0.4593 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0039 | 0.1015 | 0.0142 | 0.1688 | 0.0003 | 0.0043 | 0.0 | 0.0 | 0.2037 | 0.3591 | 0.3848 | 0.4643 | 0.0 | 0.0 | 0.0162 | 0.1279 | 0.0 | 0.0 | 0.0 | 0.0 |
| 2.2077 | 4.0 | 920 | 1.9426 | 0.0942 | 0.1812 | 0.0873 | 0.0 | 0.0039 | 0.1105 | 0.0834 | 0.148 | 0.1529 | 0.0 | 0.0165 | 0.1832 | 0.435 | 0.5951 | 0.0562 | 0.2075 | 0.0 | 0.0 | 0.3875 | 0.4814 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.006 | 0.1112 | 0.0259 | 0.1736 | 0.0007 | 0.0016 | 0.0 | 0.0 | 0.2441 | 0.3994 | 0.4248 | 0.5024 | 0.0 | 0.0 | 0.0219 | 0.1264 | 0.0 | 0.0 | 0.0 | 0.0 |
| 2.0944 | 5.0 | 1150 | 1.8840 | 0.0983 | 0.1899 | 0.0909 | 0.0002 | 0.0054 | 0.1154 | 0.0859 | 0.1517 | 0.1563 | 0.0002 | 0.0181 | 0.187 | 0.4713 | 0.6164 | 0.0695 | 0.1853 | 0.0 | 0.0 | 0.3778 | 0.4833 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.007 | 0.1175 | 0.0214 | 0.1764 | 0.0033 | 0.0272 | 0.0 | 0.0 | 0.2512 | 0.3917 | 0.4353 | 0.5047 | 0.0 | 0.0 | 0.0343 | 0.1546 | 0.0 | 0.0 | 0.0 | 0.0 |
| 2.0944 | 6.0 | 1380 | 1.8355 | 0.1029 | 0.1959 | 0.0946 | 0.0 | 0.0071 | 0.121 | 0.0915 | 0.1601 | 0.1653 | 0.0 | 0.019 | 0.1986 | 0.503 | 0.6342 | 0.0869 | 0.2042 | 0.0 | 0.0 | 0.3815 | 0.4824 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0062 | 0.1206 | 0.022 | 0.2215 | 0.0066 | 0.065 | 0.0 | 0.0 | 0.2669 | 0.4158 | 0.437 | 0.5066 | 0.0 | 0.0 | 0.0394 | 0.1595 | 0.0 | 0.0 | 0.0 | 0.0 |
| 1.9921 | 7.0 | 1610 | 1.7879 | 0.1052 | 0.1999 | 0.0975 | 0.0 | 0.0064 | 0.1236 | 0.0936 | 0.1616 | 0.1668 | 0.0 | 0.0231 | 0.2004 | 0.5172 | 0.6394 | 0.0832 | 0.2128 | 0.0 | 0.0 | 0.3953 | 0.4923 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0077 | 0.1447 | 0.0237 | 0.2111 | 0.0025 | 0.0358 | 0.0023 | 0.0049 | 0.2686 | 0.4154 | 0.443 | 0.5138 | 0.0 | 0.0 | 0.0452 | 0.1661 | 0.0 | 0.0 | 0.0 | 0.0 |
| 1.9921 | 8.0 | 1840 | 1.7682 | 0.1097 | 0.2035 | 0.1065 | 0.0004 | 0.0058 | 0.1291 | 0.0964 | 0.1669 | 0.1722 | 0.0007 | 0.0228 | 0.2067 | 0.5351 | 0.6544 | 0.0849 | 0.2151 | 0.0 | 0.0 | 0.4123 | 0.5122 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0119 | 0.1362 | 0.0272 | 0.2146 | 0.0073 | 0.0646 | 0.0025 | 0.0056 | 0.2814 | 0.4331 | 0.455 | 0.5221 | 0.0 | 0.0 | 0.0476 | 0.17 | 0.0 | 0.0 | 0.0 | 0.0 |
| 1.8979 | 9.0 | 2070 | 1.7470 | 0.1107 | 0.2048 | 0.1049 | 0.0009 | 0.0076 | 0.1302 | 0.0971 | 0.1683 | 0.1744 | 0.001 | 0.0249 | 0.2098 | 0.5366 | 0.6539 | 0.0902 | 0.2351 | 0.0 | 0.0 | 0.4211 | 0.5206 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0123 | 0.1412 | 0.0235 | 0.2076 | 0.007 | 0.0669 | 0.0022 | 0.0084 | 0.2856 | 0.4318 | 0.4544 | 0.5229 | 0.0 | 0.0 | 0.0484 | 0.177 | 0.0 | 0.0 | 0.0 | 0.0 |
| 1.8979 | 10.0 | 2300 | 1.7425 | 0.1113 | 0.2054 | 0.1062 | 0.0008 | 0.0074 | 0.131 | 0.0965 | 0.169 | 0.1747 | 0.001 | 0.0244 | 0.2102 | 0.5378 | 0.6529 | 0.0933 | 0.2379 | 0.0 | 0.0 | 0.4246 | 0.5219 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0131 | 0.1422 | 0.0232 | 0.2111 | 0.007 | 0.0638 | 0.0022 | 0.0084 | 0.2866 | 0.4328 | 0.4538 | 0.5218 | 0.0 | 0.0 | 0.0499 | 0.1768 | 0.0 | 0.0 | 0.0 | 0.0 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
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