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vit-wonders-model
Lauragz25/vit-wonders-model
vit-wonders-model is a image classification model from Lauragz25. 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
- Aug 16, 2025
- Updated
- Aug 17, 2025
- SHA
- 7d5da831
Base models
Datasets
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. -->
vit-wonders-model
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the wonders-of-the-world-image-classification dataset. It achieves the following results on the evaluation set:
- Loss: 0.0541
- Accuracy: 0.9959
- F1: 0.9957
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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- 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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.2904 | 0.4115 | 100 | 0.3038 | 0.9588 | 0.9630 |
| 0.2357 | 0.8230 | 200 | 0.1637 | 0.9630 | 0.9660 |
| 0.052 | 1.2346 | 300 | 0.0541 | 0.9959 | 0.9957 |
| 0.0229 | 1.6461 | 400 | 0.0763 | 0.9877 | 0.9836 |
| 0.025 | 2.0576 | 500 | 0.0630 | 0.9918 | 0.9911 |
Framework versions
- Transformers 4.55.2
- Pytorch 2.6.0
- Datasets 3.3.2
- Tokenizers 0.21.0
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Aug 16, 2025
- Updated
- Aug 17, 2025