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detr
depek/detr
detr is a object detection model from depek. Use it when you need objects located in an image. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Object Detection
- Library
- transformers
- License
- apache-2.0
- Model type
- detr
- Access
- Public
- Created
- Apr 21, 2024
- Updated
- Apr 21, 2024
- SHA
- 196fc6a4
Base models
Model card
From the Hugging Face model README
<!-- 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
This model is a fine-tuned version of facebook/detr-resnet-50 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8756
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7508 | 0.16 | 300 | 1.7472 |
| 1.412 | 0.32 | 600 | 1.3611 |
| 1.2549 | 0.48 | 900 | 1.1682 |
| 1.0701 | 0.64 | 1200 | 1.0696 |
| 0.9812 | 0.8 | 1500 | 1.0103 |
| 1.0346 | 0.96 | 1800 | 0.9782 |
| 1.014 | 1.12 | 2100 | 0.9429 |
| 0.9691 | 1.28 | 2400 | 0.9248 |
| 0.9749 | 1.44 | 2700 | 0.8947 |
| 0.9707 | 1.6 | 3000 | 0.8887 |
| 0.938 | 1.76 | 3300 | 0.8889 |
| 0.9477 | 1.92 | 3600 | 0.8756 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Object Detection
- Library
- transformers
- Type
- detr
- License
- apache-2.0
- Created
- Apr 21, 2024
- Updated
- Apr 21, 2024