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vit-base-caltech-ucsd-birds-200-2011
Flogoro/vit-base-caltech-ucsd-birds-200-2011
vit-base-caltech-ucsd-birds-200-2011 is a image classification model from Flogoro. 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
- May 30, 2025
- Updated
- May 30, 2025
- SHA
- 336cbfa5
Base models
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-base-caltech-ucsd-birds-200-2011
This model is a fine-tuned version of google/vit-base-patch16-224 on the bentrevett/caltech-ucsd-birds-200-2011 dataset. It achieves the following results on the evaluation set:
- Loss: 1.1598
- Accuracy: 0.7371
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: 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 5.0041 | 1.0 | 590 | 4.7408 | 0.0975 |
| 3.5745 | 2.0 | 1180 | 3.2651 | 0.5165 |
| 2.3496 | 3.0 | 1770 | 2.2666 | 0.6327 |
| 1.8024 | 4.0 | 2360 | 1.7974 | 0.6718 |
| 1.4613 | 5.0 | 2950 | 1.4765 | 0.7269 |
| 1.2414 | 6.0 | 3540 | 1.3719 | 0.7116 |
| 1.222 | 7.0 | 4130 | 1.2804 | 0.7260 |
| 1.0678 | 8.0 | 4720 | 1.2496 | 0.7243 |
| 1.081 | 9.0 | 5310 | 1.1418 | 0.7515 |
| 0.9859 | 10.0 | 5900 | 1.0439 | 0.7744 |
| 1.0177 | 11.0 | 6490 | 1.1350 | 0.7498 |
| 1.006 | 12.0 | 7080 | 1.0877 | 0.7600 |
| 1.0204 | 13.0 | 7670 | 1.1010 | 0.7464 |
| 0.9491 | 14.0 | 8260 | 1.0372 | 0.7676 |
| 0.9387 | 15.0 | 8850 | 1.0840 | 0.7354 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.7.0
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- May 30, 2025
- Updated
- May 30, 2025