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detr-resnet-50_finetuned_cppe5
Mustafa21/detr-resnet-50_finetuned_cppe5
detr-resnet-50_finetuned_cppe5 is a object detection model from Mustafa21. Use it when you need objects located in an image. It is set up for transformers.
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At a glance
- Task
- Object Detection
- Library
- transformers
- Model type
- detr
- Access
- Public
- Created
- Feb 8, 2023
- Updated
- Mar 9, 2023
- SHA
- 09f6140a
Model card
From the Hugging Face model README
Full notebook:
https://github.com/MustafaAlahmid/hugging_face_models/blob/main/detr-resnet50-cppe5.ipynb
license: apache-2.0 tags:
- generated_from_trainer datasets:
- cppe-5 model-index:
- name: detr-resnet-50_finetuned_cppe5 results: []
<!-- 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_cppe5
This model is a fine-tuned version of facebook/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: 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: 10
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1
- Datasets 2.9.0
- Tokenizers 0.13.2
- Task
- Object Detection
- Library
- transformers
- Type
- detr
- Created
- Feb 8, 2023
- Updated
- Mar 9, 2023