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detr-resnet-50_finetuned_cppe5
tttarun/detr-resnet-50_finetuned_cppe5
detr-resnet-50_finetuned_cppe5 is a object detection model from tttarun. 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 18, 2024
- Updated
- Jul 22, 2024
- SHA
- b32066ce
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_cppe5
This model is a fine-tuned version of tttarun/detr-resnet-50_finetuned_cppe5 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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Object Detection
- Library
- transformers
- Type
- detr
- Created
- Jul 18, 2024
- Updated
- Jul 22, 2024