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mit-b0-finetuned-passports
Omar280X/mit-b0-finetuned-passports
mit-b0-finetuned-passports 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. It is set up for transformers. The card lists the license as other.
probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- other
- Model type
- segformer
- Access
- Public
- Created
- Jan 26, 2024
- Updated
- Jan 28, 2024
- SHA
- d9c9aeb6
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/mit-b0-finetuned-passports
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: 0.1059
- Validation Loss: 0.1814
- Epoch: 3
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': 6e-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 |
|---|---|---|
| 0.1883 | 0.2012 | 0 |
| 0.1259 | 0.2628 | 1 |
| 0.1121 | 0.2130 | 2 |
| 0.1059 | 0.1814 | 3 |
Framework versions
- Transformers 4.37.0
- TensorFlow 2.5.0
- Datasets 2.16.1
- Tokenizers 0.15.1
- Library
- transformers
- Type
- segformer
- License
- other
- Created
- Jan 26, 2024
- Updated
- Jan 28, 2024