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tomato-disease-vit
nexusbert/tomato-disease-vit
tomato-disease-vit is a image classification model from nexusbert. 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
- Jul 7, 2026
- Updated
- Oct 1, 2026
- SHA
- 415c9477
Base models
Datasets
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. -->
tomato-disease-vit
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.0651
- Accuracy: 0.9812
- F1 Macro: 0.9812
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 16
- 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: 8
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
|---|---|---|---|---|---|
| 0.3243 | 1.0 | 180 | 0.2503 | 0.9493 | 0.9495 |
| 0.2877 | 2.0 | 360 | 0.1677 | 0.9563 | 0.9567 |
| 0.1549 | 3.0 | 540 | 0.1368 | 0.9569 | 0.9569 |
| 0.1418 | 4.0 | 720 | 0.1001 | 0.9743 | 0.9745 |
| 0.1020 | 5.0 | 900 | 0.0853 | 0.975 | 0.9751 |
| 0.0455 | 6.0 | 1080 | 0.0665 | 0.9812 | 0.9811 |
| 0.0753 | 7.0 | 1260 | 0.0637 | 0.9806 | 0.9805 |
| 0.0835 | 8.0 | 1440 | 0.0623 | 0.9806 | 0.9805 |
Framework versions
- Transformers 5.16.1
- Pytorch 2.11.0+cu128
- Datasets 4.8.5
- Tokenizers 0.23.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Jul 7, 2026
- Updated
- Oct 1, 2026