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vit-base-fruits-360
LukeXOTWOD/vit-base-fruits-360
vit-base-fruits-360 is a image classification model from LukeXOTWOD. 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 29, 2025
- Updated
- May 29, 2025
- SHA
- 35bb9812
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-fruits-360
This model is a fine-tuned version of google/vit-base-patch16-224 on the Boosso/fruits-360 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0005
- Accuracy: 1.0
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 |
|---|---|---|---|---|
| 0.0078 | 1.0 | 3385 | 0.0086 | 0.9999 |
| 0.0067 | 2.0 | 6770 | 0.0027 | 0.9999 |
| 0.001 | 3.0 | 10155 | 0.0012 | 0.9999 |
| 0.0005 | 4.0 | 13540 | 0.0006 | 1.0 |
| 0.0003 | 5.0 | 16925 | 0.0005 | 1.0 |
Framework versions
- Transformers 4.50.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- May 29, 2025
- Updated
- May 29, 2025