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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
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/gdqqmrof)
[<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/gdqqmrof)
# detr
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: 2.1588
- Map: 0.0662
- Map 50: 0.1137
- Map 75: 0.0667
- Map Small: 0.0
- Map Medium: 0.0013
- Map Large: 0.0706
- Mar 1: 0.0705
- Mar 10: 0.1303
- Mar 100: 0.1374
- Mar Small: 0.0
- Mar Medium: 0.009
- Mar Large: 0.1536
- Map Person: 0.5545
- Mar 100 Person: 0.6988
- Map Ear: 0.0068
- Mar 100 Ear: 0.1599
- Map Earmuffs: 0.0
- Mar 100 Earmuffs: 0.0
- Map Face: 0.1494
- Mar 100 Face: 0.3924
- 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: 0.0012
- Mar 100 Tools: 0.0722
- Map Glasses: 0.0
- Mar 100 Glasses: 0.0
- Map Gloves: 0.0
- Mar 100 Gloves: 0.0
- Map Helmet: 0.0
- Mar 100 Helmet: 0.0
- Map Hands: 0.1315
- Mar 100 Hands: 0.4111
- Map Head: 0.274
- Mar 100 Head: 0.5671
- Map Medical-suit: 0.0
- Mar 100 Medical-suit: 0.0
- Map Shoes: 0.0073
- Mar 100 Shoes: 0.035
- 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- 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 | 0.9913 | 57 | 2.9995 | 0.0253 | 0.0391 | 0.0271 | 0.0 | 0.0001 | 0.0263 | 0.0319 | 0.0569 | 0.0684 | 0.0 | 0.0005 | 0.0725 | 0.3757 | 0.6561 | 0.0002 | 0.0046 | 0.0 | 0.0 | 0.0006 | 0.0042 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0211 | 0.3065 | 0.0333 | 0.1919 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 2.0 | 115 | 2.6946 | 0.0312 | 0.0518 | 0.0323 | 0.0 | 0.0002 | 0.0327 | 0.0411 | 0.0775 | 0.0874 | 0.0 | 0.003 | 0.094 | 0.42 | 0.6762 | 0.0007 | 0.0246 | 0.0 | 0.0 | 0.0053 | 0.0515 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0373 | 0.3427 | 0.0669 | 0.3916 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 2.9913 | 172 | 2.5527 | 0.0325 | 0.0595 | 0.0308 | 0.0 | 0.002 | 0.0343 | 0.0441 | 0.0853 | 0.0961 | 0.0 | 0.0057 | 0.1058 | 0.3649 | 0.652 | 0.0021 | 0.0798 | 0.0 | 0.0 | 0.0142 | 0.0748 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0022 | 0.0073 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0508 | 0.3384 | 0.1178 | 0.482 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 4.0 | 230 | 2.4637 | 0.0425 | 0.0788 | 0.0396 | 0.0 | 0.0006 | 0.0449 | 0.0503 | 0.0968 | 0.1059 | 0.0 | 0.0049 | 0.1168 | 0.451 | 0.6564 | 0.0018 | 0.0867 | 0.0 | 0.0 | 0.0548 | 0.1764 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0017 | 0.0225 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0725 | 0.3554 | 0.1402 | 0.5027 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 4.9913 | 287 | 2.3455 | 0.0527 | 0.0929 | 0.052 | 0.0 | 0.0006 | 0.0561 | 0.0625 | 0.1154 | 0.1234 | 0.0 | 0.0042 | 0.1375 | 0.4924 | 0.6771 | 0.0068 | 0.1346 | 0.0 | 0.0 | 0.1061 | 0.3505 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0011 | 0.0278 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0916 | 0.3802 | 0.1918 | 0.5232 | 0.0 | 0.0 | 0.0058 | 0.0047 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 6.0 | 345 | 2.2859 | 0.0538 | 0.0938 | 0.0534 | 0.0 | 0.0011 | 0.0572 | 0.0624 | 0.1175 | 0.1268 | 0.0 | 0.0051 | 0.1412 | 0.5106 | 0.6945 | 0.0037 | 0.1284 | 0.0 | 0.0 | 0.1108 | 0.3333 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0006 | 0.0503 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1048 | 0.4016 | 0.1793 | 0.5394 | 0.0 | 0.0 | 0.0055 | 0.0088 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 6.9913 | 402 | 2.2126 | 0.0609 | 0.1056 | 0.0596 | 0.0 | 0.0019 | 0.065 | 0.0681 | 0.1257 | 0.1319 | 0.0 | 0.0086 | 0.1469 | 0.5288 | 0.6915 | 0.0064 | 0.1412 | 0.0 | 0.0 | 0.1366 | 0.3886 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0006 | 0.0517 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1204 | 0.3905 | 0.2371 | 0.5637 | 0.0 | 0.0 | 0.0055 | 0.0154 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 8.0 | 460 | 2.1794 | 0.0641 | 0.11 | 0.0643 | 0.0 | 0.0015 | 0.0685 | 0.0699 | 0.1294 | 0.1372 | 0.0 | 0.0089 | 0.1533 | 0.5525 | 0.6964 | 0.0064 | 0.1599 | 0.0 | 0.0 | 0.1375 | 0.3892 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0012 | 0.0775 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1273 | 0.4089 | 0.2586 | 0.567 | 0.0 | 0.0 | 0.007 | 0.0333 | 0.0 | 0.0 | 0.0 | 0.0 |
| 2.8481 | 8.9913 | 517 | 2.1642 | 0.0658 | 0.113 | 0.0661 | 0.0 | 0.0016 | 0.0703 | 0.0702 | 0.1296 | 0.1369 | 0.0 | 0.0091 | 0.1532 | 0.5529 | 0.6969 | 0.0067 | 0.1606 | 0.0 | 0.0 | 0.1475 | 0.3875 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0012 | 0.0725 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.13 | 0.4102 | 0.2727 | 0.5659 | 0.0 | 0.0 | 0.0073 | 0.0344 | 0.0 | 0.0 | 0.0 | 0.0 |
| 2.8481 | 9.9130 | 570 | 2.1588 | 0.0662 | 0.1137 | 0.0667 | 0.0 | 0.0013 | 0.0706 | 0.0705 | 0.1303 | 0.1374 | 0.0 | 0.009 | 0.1536 | 0.5545 | 0.6988 | 0.0068 | 0.1599 | 0.0 | 0.0 | 0.1494 | 0.3924 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0012 | 0.0722 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1315 | 0.4111 | 0.274 | 0.5671 | 0.0 | 0.0 | 0.0073 | 0.035 | 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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