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BengalCropDisease-finetuned-vit
dsett-ml/BengalCropDisease-finetuned-vit
BengalCropDisease-finetuned-vit is a image classification model from dsett-ml. Use it when you need a label for an image. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image Classification
- Library
- transformers
- License
- mit
- Model type
- vit
- Access
- Public
- Created
- Feb 5, 2026
- Updated
- Feb 13, 2026
- SHA
- d81fc83a
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. -->
BengalCropDisease-finetuned-vit
This model is a fine-tuned version of wambugu71/crop_leaf_diseases_vit on Saon110/bd-crop-vegetable-plant-disease-dataset. It achieves the following results on the evaluation set:
- Loss: 0.2651
- Accuracy: 0.9085
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: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4845 | 1.0 | 304 | 0.4700 | 0.8456 |
| 0.3312 | 2.0 | 608 | 0.3128 | 0.8933 |
| 0.2491 | 3.0 | 912 | 0.2703 | 0.9060 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.4.2
- Tokenizers 0.22.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- mit
- Created
- Feb 5, 2026
- Updated
- Feb 13, 2026