wellCh4n/tomato-leaf-disease-classification-vit

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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
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 1337
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 5.0

Training results

Framework versions

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