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rtdetr-finetuned-multi-pills
ChavyvAkvar/rtdetr-finetuned-multi-pills
rtdetr-finetuned-multi-pills is a object detection model from ChavyvAkvar. 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
- rt_detr_v2
- Access
- Public
- Created
- Jul 8, 2025
- Updated
- Jul 8, 2025
- SHA
- 35c5df58
Base models
Spaces
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. -->
rtdetr-finetuned-multi-pills
This model is a fine-tuned version of PekingU/rtdetr_v2_r18vd on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4598
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: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.0462 | 1.0 | 2250 | 1.8173 |
| 2.649 | 2.0 | 4500 | 1.5343 |
| 2.4828 | 3.0 | 6750 | 1.4598 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.2
- Task
- Object Detection
- Library
- transformers
- Type
- rt_detr_v2
- License
- apache-2.0
- Created
- Jul 8, 2025
- Updated
- Jul 8, 2025