tomato-leaf-disease-classification-vit

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the wellCh4n/tomato-leaf-disease-image dataset. It achieves the following results on the evaluation set:

• Loss: 0.0170
• Accuracy: 0.9967

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 1337
• 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
• num_epochs: 5.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1879	1.0	1930	0.0915	0.9842
0.1685	2.0	3860	0.0688	0.9838
0.0118	3.0	5790	0.0271	0.9952
0.1	4.0	7720	0.0244	0.9952
0.0629	5.0	9650	0.0170	0.9967

Framework versions

• Transformers 4.48.0.dev0
• Pytorch 2.2.2+cu121
• Datasets 3.2.0
• Tokenizers 0.21.0