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crack-cond_detr
akar49/crack-cond_detr
crack-cond_detr is a object detection model from akar49. 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
- Jan 10, 2024
- Updated
- Jan 11, 2024
- SHA
- 84b55eb4
Base models
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. -->
crack-cond_detr
This model is a fine-tuned version of microsoft/conditional-detr-resnet-50 on the crack_detection-merged-ii 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: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- 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
- conditional_detr
- License
- apache-2.0
- Created
- Jan 10, 2024
- Updated
- Jan 11, 2024