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detr
JuudasMooses/detr
detr is a object detection model from JuudasMooses. 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 24, 2024
- Updated
- Apr 25, 2024
- SHA
- 5af4851a
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: 5.6795
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: 0.001
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.9973 | 0.3195 | 100 | 3.0595 |
| 2.5938 | 0.6390 | 200 | 5.8527 |
| 2.0334 | 0.9585 | 300 | 5.6795 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Task
- Object Detection
- Library
- transformers
- Type
- detr
- License
- apache-2.0
- Created
- Apr 24, 2024
- Updated
- Apr 25, 2024