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printed_ID_Segmentation_1
Omar280X/printed_ID_Segmentation_1
printed_ID_Segmentation_1 is a machine learning model from Omar280X. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as other.
probably proofread and complete it, then remove this comment. --
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At a glance
- License
- other
- Model type
- segformer
- Access
- Public
- Created
- May 19, 2025
- Updated
- May 21, 2025
- SHA
- c0a5c8ac
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
Omar280X/printed_ID_Segmentation_1
This model is a fine-tuned version of nvidia/mit-b0 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.5221
- Validation Loss: 0.7828
- Epoch: 5
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:
- optimizer: {'name': 'Adam', 'learning_rate': 3.639184e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 0.3885 | 1.1158 | 0 |
| 0.4938 | 0.6734 | 1 |
| 0.4921 | 0.6814 | 2 |
| 0.5149 | 0.7493 | 3 |
| 0.4889 | 0.7936 | 4 |
| 0.5221 | 0.7828 | 5 |
Framework versions
- Transformers 4.37.2
- TensorFlow 2.10.0
- Datasets 3.6.0
- Tokenizers 0.15.2
- Type
- segformer
- License
- other
- Created
- May 19, 2025
- Updated
- May 21, 2025