Downloads · 30 days
5
5% of all-time downloads
vit-cifar100
n1kooo/vit-cifar100
vit-cifar100 is a image classification model from n1kooo. 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
96
Public
Parameters
85.9M
7.6 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 12, 2025
- Updated
- May 12, 2025
- SHA
- d14ee355
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-cifar100
This model is a fine-tuned version of google/vit-base-patch16-224 on the n1kooo/vit-cifar100 dataset. It achieves the following results on the evaluation set:
- Loss: 0.5073
- Accuracy: 0.8628
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: 0.0003
- 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
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5825 | 1.0 | 2500 | 0.5352 | 0.851 |
| 0.4471 | 2.0 | 5000 | 0.4986 | 0.8542 |
| 0.3538 | 3.0 | 7500 | 0.4779 | 0.8624 |
| 0.3358 | 4.0 | 10000 | 0.4731 | 0.8602 |
| 0.2974 | 5.0 | 12500 | 0.4710 | 0.8624 |
Framework versions
- Transformers 4.51.3
- 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 12, 2025
- Updated
- May 12, 2025