Downloads · 30 days
22
4% of all-time downloads
vit-plants
fdrmic/vit-plants
vit-plants is a image classification model from fdrmic. 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
542
Public
Parameters
85.9M
32.3 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
- Apr 30, 2025
- Updated
- May 28, 2025
- SHA
- a4c72ea4
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-plants
This model is a fine-tuned version of google/vit-base-patch16-224 on the dpdl-benchmark/oxford_flowers102 dataset. It achieves the following results on the evaluation set:
- Loss: 1.7072
- Accuracy: 0.8922
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 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 |
|---|---|---|---|---|
| No log | 1.0 | 51 | 3.5425 | 0.4314 |
| 3.6417 | 2.0 | 102 | 2.6298 | 0.8039 |
| 3.6417 | 3.0 | 153 | 2.0558 | 0.8431 |
| 2.0246 | 4.0 | 204 | 1.7406 | 0.8725 |
| 2.0246 | 5.0 | 255 | 1.6419 | 0.8922 |
Framework versions
- Transformers 4.52.3
- Pytorch 2.7.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Apr 30, 2025
- Updated
- May 28, 2025