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detr-resnet-50-hardhat-finetuned
DevforMM/detr-resnet-50-hardhat-finetuned
detr-resnet-50-hardhat-finetuned is a object detection model from DevforMM. 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
- Oct 15, 2025
- Updated
- Oct 15, 2025
- SHA
- d3e96c77
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. -->
detr-resnet-50-hardhat-finetuned-finetuned-gtzan
This model is a fine-tuned version of detr-resnet-50-hardhat-finetuned on the anindya64/hardhat dataset. It achieves the following results on the evaluation set:
- Loss: 1.5325
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: 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
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.55.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.2
- Task
- Object Detection
- Library
- transformers
- Type
- detr
- Created
- Oct 15, 2025
- Updated
- Oct 15, 2025