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vit-b16-plant_village

This model is a fine-tuned version of google/vit-base-patch16-224 on the Treelar/plant_village dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0100
  • Accuracy: 0.9973

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: 0.0002
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.1747 1.0 3119 0.0364 0.9885
0.0031 2.0 6238 0.0100 0.9973

Framework versions

  • Transformers 4.37.1
  • Pytorch 2.1.2+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.1
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Dataset used to train Treelar/vit-b16-plant_village

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