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flower-vit
lst0004/flower-vit
flower-vit is a image classification model from lst0004. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- vit
- Access
- Public
- Created
- Apr 11, 2026
- Updated
- Apr 14, 2026
- SHA
- 8602cf36
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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. -->
flower-vit
This model is a fine-tuned version of google/vit-base-patch16-224 on the custom flower dataset dataset. It achieves the following results on the evaluation set:
- Loss: 0.1623
- Accuracy: 0.9636
- Precision: 0.9633
- Recall: 0.9636
- F1: 0.9632
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: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.1765 | 1.0 | 138 | 0.1646 | 0.9673 | 0.9679 | 0.9673 | 0.9673 |
| 0.1386 | 2.0 | 276 | 0.1291 | 0.9673 | 0.9681 | 0.9673 | 0.9673 |
| 0.0889 | 3.0 | 414 | 0.1214 | 0.9673 | 0.9681 | 0.9673 | 0.9673 |
| 0.0857 | 4.0 | 552 | 0.1183 | 0.9673 | 0.9681 | 0.9673 | 0.9673 |
| 0.0942 | 5.0 | 690 | 0.1177 | 0.9673 | 0.9681 | 0.9673 | 0.9673 |
Framework versions
- Transformers 5.5.4
- Pytorch 2.11.0+cpu
- Datasets 4.8.4
- Tokenizers 0.22.2
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Apr 11, 2026
- Updated
- Apr 14, 2026