Downloads · 30 days
116
36% of all-time downloads
furniture_use_data_partial_finetuning3
m28yhtd/furniture_use_data_partial_finetuning3
furniture_use_data_partial_finetuning3 is a object detection model from m28yhtd. 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. --
All-time downloads
324
Public
Parameters
41.6M
4.8 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors166 MB · 100%
At a glance
- Task
- Object Detection
- Library
- transformers
- License
- apache-2.0
- Model type
- detr
- Access
- Public
- Created
- Oct 2, 2025
- Updated
- Oct 2, 2025
- SHA
- 8d8e86d1
Base models
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. -->
furniture_use_data_partial_finetuning3
This model is a fine-tuned version of facebook/detr-resnet-50 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: 8
- 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
- num_epochs: 100
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0
- Task
- Object Detection
- Library
- transformers
- Type
- detr
- License
- apache-2.0
- Created
- Oct 2, 2025
- Updated
- Oct 2, 2025