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vit-flower-classifier
gaglileoo/vit-flower-classifier
vit-flower-classifier is a image classification model from gaglileoo. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.
This model is a fine-tuned version of google/vit-base-patch16-224 on a custom flower classification dataset. It achieves the following results on the evaluation set:
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At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- vit
- Access
- Public
- Created
- Apr 17, 2026
- Updated
- Apr 17, 2026
- SHA
- b4f08f52
Base models
Model card
From the Hugging Face model README
vit-flowers-recognition
This model is a fine-tuned version of google/vit-base-patch16-224 on a custom flower classification dataset. It achieves the following results on the evaluation set:
Loss: 0.1351
Accuracy: 0.9655
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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- optimizer: adamw_torch
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Validation Loss | Accuracy |
|---|---|---|---|
| 0.1133 | 1.0 | 0.1167 | 0.9651 |
| 0.0885 | 2.0 | 0.1160 | 0.9628 |
| 0.0488 | 3.0 | 0.1163 | 0.9628 |
| 0.0467 | 4.0 | 0.1166 | 0.9605 |
| 0.0475 | 5.0 | 0.1164 | 0.9605 |
Framework versions
- Transformers 4.50.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Apr 17, 2026
- Updated
- Apr 17, 2026