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microsoft-conditional-detr-resnet-50-finetuned-10k-cppe5-auto-pad
qubvel-hf/microsoft-conditional-detr-resnet-50-finetuned-10k-cppe5-auto-pad
microsoft-conditional-detr-resnet-50-finetuned-10k-cppe5-auto-pad is a object detection model from qubvel-hf. 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
- conditional_detr
- Access
- Public
- Created
- Apr 28, 2024
- Updated
- Apr 28, 2024
- SHA
- 49540435
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. -->
microsoft-conditional-detr-resnet-50-finetuned-10k-cppe5-auto-pad
This model is a fine-tuned version of microsoft/conditional-detr-resnet-50 on the cppe-5 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 1
- seed: 1337
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100.0
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.18.0
- Tokenizers 0.19.0
- Task
- Object Detection
- Library
- transformers
- Type
- conditional_detr
- License
- apache-2.0
- Created
- Apr 28, 2024
- Updated
- Apr 28, 2024