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detr-resnet-50_finetuned_test
yi-zhao-K/detr-resnet-50_finetuned_test
detr-resnet-50_finetuned_test is a object detection model from yi-zhao-K. 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
- Jul 11, 2024
- Updated
- Jul 23, 2024
- SHA
- 000ed9b9
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-resnet-50_finetuned_test
This model was trained from scratch on the imagefolder 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 500
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.1+cpu
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Object Detection
- Library
- transformers
- Type
- detr
- Created
- Jul 11, 2024
- Updated
- Jul 23, 2024