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
Downloads last month
43
Safetensors
Model size
5.54M params
Tensor type
F32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 1 Ask for provider support

Model tree for dsett-ml/BengalCropDisease-finetuned-vit

Finetuned
(1)
this model

Dataset used to train dsett-ml/BengalCropDisease-finetuned-vit