Downloads · 30 days
10
27% of all-time downloads
swf_trained_model
nagarajuthirupathi/swf_trained_model
swf_trained_model is a image segmentation model from nagarajuthirupathi. Use it for the image segmentation task on the model card, and read the license before you ship it in a product. 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
37
Public
Parameters
212M
2.6 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin851 MB · 50%
Parameter types
How the weights are stored.
F32212M · 100%
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. -->
output1
This model is a fine-tuned version of mukesh3444/window_detection_model on the nagarajuthirupathi/indoor_window_detection_swf 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: 9.971930719778446e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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: constant
- num_epochs: 50.0
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.1
- Tokenizers 0.21.1
- Task
- Image Segmentation
- Library
- transformers
- Type
- maskformer
- License
- apache-2.0
- Created
- May 7, 2025
- Updated
- May 15, 2025