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snap-dumbbell-dfine-small-v87-corrected
aguxez/snap-dumbbell-dfine-small-v87-corrected
snap-dumbbell-dfine-small-v87-corrected is a object detection model from aguxez. 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
- d_fine
- Access
- Public
- Created
- Aug 2, 2026
- Updated
- Aug 2, 2026
- SHA
- 75db4d08
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. -->
snap-dumbbell-dfine-small-v87-corrected
This model is a fine-tuned version of aguxez/snap-dumbbell-dfine-small-v31-e4-replay-adapt on the aguxez/snap-equipment-youtube-v73-train-gt25-motion-corrected 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: 2e-06
- train_batch_size: 4
- eval_batch_size: 8
- seed: 7
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 5.14.1
- Pytorch 2.13.0+cu130
- Datasets 5.0.1
- Tokenizers 0.22.2
- Task
- Object Detection
- Library
- transformers
- Type
- d_fine
- License
- apache-2.0
- Created
- Aug 2, 2026
- Updated
- Aug 2, 2026