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detr
cheesebird/detr
detr is a object detection model from cheesebird. 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 20, 2024
- Updated
- Apr 21, 2024
- SHA
- 9de7f9f1
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: 0.8684
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: 0.0001
- 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: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.2294 | 0.1 | 250 | 1.5375 |
| 1.4499 | 0.2 | 500 | 1.3111 |
| 1.2584 | 0.3 | 750 | 1.1323 |
| 1.1306 | 0.4 | 1000 | 1.0789 |
| 1.1112 | 0.5 | 1250 | 1.0349 |
| 1.0478 | 0.6 | 1500 | 0.9710 |
| 0.9709 | 0.7 | 1750 | 0.9510 |
| 0.96 | 0.8 | 2000 | 0.9061 |
| 0.9417 | 0.9 | 2250 | 0.8761 |
| 0.939 | 1.0 | 2500 | 0.8684 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2
- Task
- Object Detection
- Library
- transformers
- Type
- detr
- License
- apache-2.0
- Created
- Apr 20, 2024
- Updated
- Apr 21, 2024