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detr-r50-cd45rb-4ah-6l
polejowska/detr-r50-cd45rb-4ah-6l
detr-r50-cd45rb-4ah-6l is a object detection model from polejowska. 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
- Aug 3, 2023
- Updated
- Aug 3, 2023
- SHA
- 1ab1d844
Datasets
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-r50-cd45rb-4ah-6l
This model is a fine-tuned version of facebook/detr-resnet-50 on the cd45rb dataset. It achieves the following results on the evaluation set:
- Loss: 1.6890
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: 1e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.7454 | 1.0 | 4606 | 2.0001 |
| 2.4366 | 2.0 | 9212 | 1.8949 |
| 2.3351 | 3.0 | 13818 | 1.8286 |
| 2.2927 | 4.0 | 18424 | 1.7941 |
| 2.2604 | 5.0 | 23030 | 1.7917 |
| 2.2195 | 6.0 | 27636 | 1.7718 |
| 2.1933 | 7.0 | 32242 | 1.7203 |
| 2.1642 | 8.0 | 36848 | 1.7172 |
| 2.1453 | 9.0 | 41454 | 1.6982 |
| 2.1342 | 10.0 | 46060 | 1.6890 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Object Detection
- Library
- transformers
- Type
- detr
- License
- apache-2.0
- Created
- Aug 3, 2023
- Updated
- Aug 3, 2023