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hf_cat_breed_classifier-vit-base-patch16-224
jaime168/hf_cat_breed_classifier-vit-base-patch16-224
hf_cat_breed_classifier-vit-base-patch16-224 is a image classification model from jaime168. 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, 2026
- Updated
- May 30, 2026
- SHA
- 163a5494
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. -->
hf_cat_breed_classifier-vit-base-patch16-224
This model is a fine-tuned version of google/vit-base-patch16-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.3879
- Accuracy: 0.8901
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: 2e-05
- 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: cosine
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.4838 | 1.0 | 48 | 1.0466 | 0.7225 |
| 0.6587 | 2.0 | 96 | 0.4952 | 0.8534 |
| 0.3246 | 3.0 | 144 | 0.3935 | 0.8848 |
| 0.2179 | 4.0 | 192 | 0.3825 | 0.9058 |
| 0.1602 | 5.0 | 240 | 0.3896 | 0.8953 |
| 0.1212 | 6.0 | 288 | 0.3723 | 0.8953 |
| 0.1028 | 7.0 | 336 | 0.3793 | 0.8796 |
| 0.0767 | 8.0 | 384 | 0.3885 | 0.8953 |
| 0.0682 | 9.0 | 432 | 0.3887 | 0.8901 |
| 0.0827 | 10.0 | 480 | 0.3879 | 0.8901 |
Framework versions
- Transformers 5.9.0
- Pytorch 2.12.0
- Datasets 4.8.5
- Tokenizers 0.22.2
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- May 30, 2026
- Updated
- May 30, 2026