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segformer-head-o1
adwardnguyen/segformer-head-o1
segformer-head-o1 is a image segmentation model from adwardnguyen. 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 other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image Segmentation
- Library
- transformers
- License
- other
- Model type
- segformer
- Access
- Public
- Created
- Feb 12, 2025
- Updated
- Mar 26, 2025
- SHA
- 3e0a71e2
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. -->
segformer-head-o1
This model is a fine-tuned version of nvidia/mit-b0 on the adwardnguyen/face-ds dataset. It achieves the following results on the evaluation set:
- Loss: 0.2872
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-05
- train_batch_size: 2
- eval_batch_size: 2
- 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: 100
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2841 | 20.0 | 20 | 0.3039 |
| 0.2639 | 40.0 | 40 | 0.3148 |
| 0.2576 | 60.0 | 60 | 0.2811 |
| 0.2546 | 80.0 | 80 | 0.2840 |
| 0.2681 | 100.0 | 100 | 0.2872 |
Framework versions
- Transformers 4.50.1
- Pytorch 2.6.0
- Datasets 3.4.1
- Tokenizers 0.21.1
- Task
- Image Segmentation
- Library
- transformers
- Type
- segformer
- License
- other
- Created
- Feb 12, 2025
- Updated
- Mar 26, 2025