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aircraft-vit-fs26
dubattim/aircraft-vit-fs26
aircraft-vit-fs26 is a image classification model from dubattim. 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 8, 2026
- Updated
- Apr 8, 2026
- SHA
- 58d0a5b2
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. -->
aircraft-vit-fs26
This model is a fine-tuned version of google/vit-base-patch16-224 on the custom aircraft dataset (20 classes, ~100 imgs each, Wikimedia Commons) dataset. It achieves the following results on the evaluation set:
- Loss: 1.4667
- Accuracy: 0.675
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 32
- 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
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 15
- label_smoothing_factor: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.7041 | 1.0 | 100 | 2.6548 | 0.185 |
| 2.0550 | 2.0 | 200 | 2.0971 | 0.41 |
| 1.7654 | 3.0 | 300 | 1.9024 | 0.435 |
| 1.5199 | 4.0 | 400 | 1.7441 | 0.52 |
| 1.4159 | 5.0 | 500 | 1.6400 | 0.58 |
| 1.2597 | 6.0 | 600 | 1.5958 | 0.605 |
| 1.1279 | 7.0 | 700 | 1.5441 | 0.645 |
| 1.0317 | 8.0 | 800 | 1.5333 | 0.63 |
| 1.0348 | 9.0 | 900 | 1.4501 | 0.685 |
| 0.9480 | 10.0 | 1000 | 1.4456 | 0.68 |
| 0.8717 | 11.0 | 1100 | 1.4176 | 0.68 |
| 0.8424 | 12.0 | 1200 | 1.4068 | 0.705 |
| 0.8521 | 13.0 | 1300 | 1.4088 | 0.69 |
| 0.8423 | 14.0 | 1400 | 1.4092 | 0.695 |
| 0.8189 | 15.0 | 1500 | 1.4049 | 0.695 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.2.2
- Datasets 4.8.4
- Tokenizers 0.22.2
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Apr 8, 2026
- Updated
- Apr 8, 2026