Downloads · 30 days
3
1% of all-time downloads
vit-base-maurice-fp-stanford-dogs
Flogoro/vit-base-maurice-fp-stanford-dogs
vit-base-maurice-fp-stanford-dogs 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. --
All-time downloads
216
Public
Parameters
85.9M
1.7 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors344 MB · 100%
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
- fcdc0a8b
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-maurice-fp-stanford-dogs
This model is a fine-tuned version of google/vit-base-patch16-224 on the maurice-fp/stanford-dogs dataset. It achieves the following results on the evaluation set:
- Loss: 0.6323
- Accuracy: 0.8416
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: 6e-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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.7839 | 1.0 | 1029 | 1.6492 | 0.7988 |
| 0.765 | 2.0 | 2058 | 0.7655 | 0.8411 |
| 0.6504 | 3.0 | 3087 | 0.6558 | 0.8426 |
| 0.6054 | 4.0 | 4116 | 0.6601 | 0.8319 |
| 0.6279 | 5.0 | 5145 | 0.6133 | 0.8435 |
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