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ViT_fine_tuning
jrynd/ViT_fine_tuning
ViT_fine_tuning is a image classification model from jrynd. 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
- Oct 6, 2025
- Updated
- Oct 6, 2025
- SHA
- ea555f97
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_fine_tuning
This model is a fine-tuned version of google/vit-large-patch16-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7794
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: 10
- eval_batch_size: 4
- 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: linear
- num_epochs: 40
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1869 | 1.0 | 47 | 0.6323 |
| 0.3301 | 2.0 | 94 | 0.7937 |
| 0.3993 | 3.0 | 141 | 0.5598 |
| 0.2497 | 4.0 | 188 | 0.9144 |
| 0.3625 | 5.0 | 235 | 0.5646 |
| 0.3431 | 6.0 | 282 | 0.4955 |
| 0.2343 | 7.0 | 329 | 0.6660 |
| 0.287 | 8.0 | 376 | 0.6463 |
| 0.2958 | 9.0 | 423 | 0.7023 |
| 0.2301 | 10.0 | 470 | 0.7207 |
| 0.2303 | 11.0 | 517 | 0.8630 |
| 0.2671 | 12.0 | 564 | 0.7658 |
| 0.2605 | 13.0 | 611 | 0.6844 |
| 0.2491 | 14.0 | 658 | 0.6254 |
| 0.1739 | 15.0 | 705 | 0.7874 |
| 0.2482 | 16.0 | 752 | 0.6596 |
| 0.2007 | 17.0 | 799 | 0.7415 |
| 0.222 | 18.0 | 846 | 0.7555 |
| 0.2514 | 19.0 | 893 | 0.6816 |
| 0.1492 | 20.0 | 940 | 0.8623 |
| 0.1895 | 21.0 | 987 | 0.8038 |
| 0.1804 | 22.0 | 1034 | 0.7286 |
| 0.1719 | 23.0 | 1081 | 0.8166 |
| 0.1904 | 24.0 | 1128 | 0.8291 |
| 0.1732 | 25.0 | 1175 | 0.8563 |
| 0.1931 | 26.0 | 1222 | 0.7805 |
| 0.1616 | 27.0 | 1269 | 0.8687 |
| 0.1654 | 28.0 | 1316 | 0.8710 |
| 0.1956 | 29.0 | 1363 | 0.7511 |
| 0.1803 | 30.0 | 1410 | 0.7749 |
| 0.1173 | 31.0 | 1457 | 0.8292 |
| 0.12 | 32.0 | 1504 | 0.7924 |
| 0.1114 | 33.0 | 1551 | 0.7781 |
| 0.1192 | 34.0 | 1598 | 0.8182 |
| 0.1568 | 35.0 | 1645 | 0.7458 |
| 0.1375 | 36.0 | 1692 | 0.7571 |
| 0.0909 | 37.0 | 1739 | 0.8052 |
| 0.0931 | 38.0 | 1786 | 0.7864 |
| 0.1537 | 39.0 | 1833 | 0.7738 |
| 0.1144 | 40.0 | 1880 | 0.7794 |
Framework versions
- Transformers 4.56.2
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Oct 6, 2025
- Updated
- Oct 6, 2025