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detr-resnet-50-dc5
brainer/detr-resnet-50-dc5
detr-resnet-50-dc5 is a object detection model from brainer. Use it when you need objects located in an image. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Object Detection
- Library
- transformers
- Model type
- detr
- Access
- Public
- Created
- Jan 21, 2024
- Updated
- Jan 21, 2024
- SHA
- f42db320
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-resnet-50-dc5
This model was trained from scratch on an unknown dataset.
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: 1
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Task
- Object Detection
- Library
- transformers
- Type
- detr
- Created
- Jan 21, 2024
- Updated
- Jan 21, 2024